Research methods / methodology Books

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Book SynopsisThis is the ideal companion for those needing guidance when carrying out a research project in a management or a business-related subject. The text is succinct and concise, written with modular courses in mind for the reader to quickly gain an overall perspective of the fundamental areas and identify the key points that need to be addressed. This clear and practical book also covers the requirements of more general areas of business research and consultancy. New to this edition is a chapter devoted to the analysis of qualitative data - an area many students find they want to focus on. A new accompanying student website also gives practical guidance on some of the problems students face: assistance with writing a research proposal; the structure of a dissertation; collecting data - how much is enough; citing references; links to other resources.Dissertations and projects form an integral part of many MBA and degree programmes and this text is invaluable when tackling this area for the first time. The authors approach the research task in a step-by-step manner, covering areas such as data collection, observational methods, and data analysis.Table of ContentsIntroductionManaging your development as a managerIntroduction to research in managementManagement consultancy and researchThe consultancy research processOverview of data collection: approaches, methods and techniquesData collection: secondary dataData collection: observational researchData collection: experimental, quasi-experimental and action researchData collection: asking questionsAnalysing data: nature and purposeAnalysing qualitative dataActioning researchAppendicesActivity solutionsReference and further readingGlossary

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisAs in previous editions, this highly practical book is written with beginning MPA students and practitioners in mind. It focuses on the interpretation and use of research findings, not just number crunching. It covers the entire research process, from initial questions to final report, in clear, jargon-free language, and includes numerous easy-to-understand examples and exercises that provide opportunities for concrete applications of the concepts. It is solidly grounded in public administration and recognizes both the promise and limitations of research within a political environment.Key features of the book:--It is highly practical and written to accommodate a mix of readers: those who want to become analysts, managers who will oversee research contracts, and citizens who need to know whether to believe the facts and data they read in today's news;--It minimizes the use of jargon and explains difficult concepts in clear language. Plentiful end-of-chapter exercises provide opportunities for concrete application of the concepts;--Key points are highlighted as takeaway lessons so readers are reminded about what really matters. The tough questions to ask are suggested in every chapter;--Examples and applications are used throughout the book to illustrate concepts and add topical interest;--It covers the entire research process, from initial questions to the final report. This book demystifies and makes practical the research every public administrator and policy analyst needs to do the job well. Online instructor's materials, including a Test Bank, PowerPoint slides, and a Survey and Documental Analysis (SDA) guide, are also available to adopters.Trade Review"Research Methods for Public Administrators is presented in a clear and comprehensible fashion which enhances the ability of even those with limited knowledge of research methods to understand the topic. The book is well structured, covers the topic with a minimum of jargon, and is designed to develop the critical thinking skills of students. Many examples of research concepts that are relevant to public administrators make the book extremely useful for students and practitioners alike." -- William Leavitt, Old Dominion University"Research Methods for Public Administrators is extremely remarkable as it treats both qualitative and quantitative research methods in a comprehensive manner without compromising clarity and readability. The rare combination of broad coverage and reader-friendliness really makes this book an excellent resource for students learning basic research tools." -- Chih-Wei Hsieh, University of New Mexico"Finally we have an approachable methods book. Gail Johnson's practitioner background helps her to discuss a very complex topic, research methods, in an understandable and practical manner. While covering the basics of research design and statistics, she also gives attention to the important topic of communicating research findings. Additionally, Johnson ties research methods to its uses in the public sector. This book is well suited for a variety of public administration programs, but it is particularly useful for those with many in-service students." -- Jami Taylor, University of Toledo"This is the consummate methods survey text for public administration and policy study, somehow improved in the new edition over already superlative previous ones. In the new edition, conceptual frames continue to be covered with even greater nuance and depth--topics such as policy and program complexity, complex causation, logic modeling, the inter-relation of normative and descriptive/empirical questions in public sector research, research ethics, and the refinement of research questions in these contexts, for instance translating research questions into hypotheses. Most highly recommended!" -- Mario Rivera, University of New Mexico"This textbook offers a comprehensive yet understandable overview of the process of research and its use in the field of public administration. The author's focus on how to use and interpret research findings is a welcome addition to the topic and the real-world exercises provide students with practical application of research skills essential for public managers. A great textbook for MPA students!" -- Pamela T. Dunning, Troy UniversityTable of ContentsList of IllustrationsPreface and Acknowledgments1. Introduction: Research Methods for Public AdministratorsOverview Goals: Research as a Critical Thinking Tool Research in the Public Sector What Is Research? Types of Research Ethics and Principles of Good ResearchOverview of This BookExercises2. Basic Research ConceptsOverviewThe Secret Language of Social Science Theory Hypothesis in Its Many Forms Variables Values Levels of Measurement Determining Causality Independent and Dependent Variables Control Variables Direction of Relationships Program Evaluation: Research in the Public SectorUsing Models for a Holistic View of RelationshipsThe Logic ModelApplying the Logic ModelConclusionExercises3. What Is the Question?OverviewDetermining the Research QuestionLearning from OthersEngaging the StakeholdersWorking TogetherTypes of Questions Descriptive Questions Normative Questions Relationship Questions ConclusionExercises4. Identifying Measures and Measurement StrategyOverviewDefining Key Terms Conceptual Definitions Operational Definitions Setting BoundariesValid and Reliable Measures Validity Reliability Why Measurement MattersConclusionExercises5. Designs for Research: The Xs and Os FrameworkOverviewDesigning an ExperimentApplying the Design Elements: The Xs and Os Framework Nonexperimental Design Quasi-Experimental Design Classic Experimental Design Design Variations Using Statistical Controls to Create Comparison Groups Longitudinal Studies Internal ValidityWhy Validity MattersExternal ValidityConclusionExercises6. Other Research ApproachesOverviewSecondary Analysis of DataEvaluation Synthesis (Meta-Analysis)Content AnalysisSurvey ResearchCase StudiesCost-Benefit AnalysisConclusionExercises7. Data Collection I: Available Data and ObservationOverviewData Collection: The Degree of StructureAvailable DataData Collection InstrumentsObservationObtrusive and Unobtrusive Data CollectionThe Design MatrixConclusionExercises8. Data Collection II: Interviews and Focus GroupsOverviewGeneral Guidelines About Choosing the Appropriate MethodEncouraging ParticipationIn-Person InterviewsFocus GroupsOther Group Data Collection: Expert Panels, Public HearingsConclusionExercises9. Data Collection III: SurveysOverviewBasic MethodsResponse RatesTelephone SurveysMail SurveysCyber-Research: E-mail and Web-Based SurveysDeveloping Closed-Ended QuestionsUsing One-Way and Two-Way Intensity ScalesRanking QuestionsDemographic QuestionsConclusionExercises10. Sampling DemystifiedOverviewSampling JargonRandom and Nonrandom Samples Random Samples Nonrandom Samples Random Samples: The Options Simple Random Sample Systematic Random Sample Stratified Random Sample Proportional Stratified Sample Disproportionate Stratified Sample Cluster Sample Nonrandom Samples: The OptionsDetermining Sample SizeNonsampling ErrorsConclusionExercises11. Qualitative Data AnalysisOverviewAnalyzing Qualitative DataIdentifying Themes and QuotesWorking with Qualitative DataConclusionExercises12. Data Analysis for DescriptionOverviewSimple Descriptive Statistics in Public AdministrationCommonly Used Descriptive Statistics Counts Percents Rates Ratios Rates of Change Distributions Measures of Central Tendency Which Measure to Use? Comparison of Means Measures of DispersionConclusionExercises13. Analyzing Survey ScalesOverviewHandling Exits and the Middle of a Five-Point ScaleSetting Benchmarks and Extreme AnalysisHandling the Middle Category in One-Way Intensity ScalesShould Means Be Used with Nominal and Ordinal Scales?The Analytical Tool: Cross TabulationsConclusionExercises14. Data Analysis: Exploring RelationshipsOverviewUsing Crosstabs to Examine RelationshipsControlling for a Third VariableExploring Relationships: Comparison of Means and MediansMeasures of AssociationFrequently Used Measures of AssociationWorking with Interval or Ratio DataConclusionExercises15. Data Analysis: RegressionOverviewBivariate Regression: Key ElementsUsing Bivariate Regression Analysis: Sunshine and TourismMultiple Regression Beta Weights: Relative Predictive Strength Regression in the NewsWhy Did the Violent Crime Rate Drop After 1991?ConclusionExercises16. Data Analysis Using Inferential StatisticsOverviewStatistical Significance: Basic ConceptsThe Logic of Statistical Significance TestingErrors in Tests for Statistical SignificanceCommon Tests for Statistical Significance Chi-Square t-Tests: Analyzing Difference in Means Analysis of Variance Tests for Statistical Significance in Regression AnalysisReporting Results of Statistical SignificancePopulation Estimates and Confidence IntervalsConclusionExercises17. Communicating Research ResultsOverviewEffectively Reporting ResultsReporting DataGeneral Guide for Communicating Research ResultsGuide for Writing an Executive SummaryGuide for Writing a Formal ReportGuide for Using Charts and TablesGuide for Oral PresentationsPresenting Unwelcome InformationMaking Sense of Research ResultsConclusionExercises18. Conclusion: Research at the Intersection of Politics and AdministrationOverviewThe Research Process Revisited Planning Doing Reporting Ethics and Social JusticeManaging Research ProjectsAssessing CredibilityThe Limitations of ScienceThe Intersection of Research, Politics, and AdministrationClosing ObservationsExercisesAppendix A. Mathematical Formulas for Selected StatisticsAppendix B. Statistics as a Second LanguageAppendix C. BibliographyAppendix D. Logic Model TemplateAppendix E. The Generic Design MatrixIndexAbout the Author

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Book SynopsisMahajan and Peterson have provided an introduction to diffusion models that bridges the disciplines and sets out the basic findings in a clear and consistent way. Their book is a lucid, state-of-the-art description of the powerful tools for investigating the temporal diffusion of any innovation. The approach they use is abstract and general, but the inclusion of a number of helpful examples makes it accessible to a wider range of readers.Table of ContentsBasic Concepts The Fundamental Diffusion Model Flexible Diffusion Models Extensions and Refinements Illustrative Applications Status and Outlook

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Book SynopsisA bonus is the insightful introduction by series editor Jan de Leeuw, putting applied statistics into perspective, blurring the somewhat artificial distinction between exploratory and confirmatory analysis. . . . Throughout the volume, strong attention is paid to the practical issues and to limitations of the analytical approaches (e.g., the effects of the number of categories within a variable on the resulting model). This seems especially useful, given that the intended audience includes 'nitty-gritty' users and less theoretically inclined readers. John P. Van de Geer is careful to head off the reader's temptation to base interpretation on the old 'the computer says it, so it must be right' routine, by pointing out easy but faulty conclusions, such as those that might result from interactions and confounding factors. --Elizabeth L. Rose in Structural Equation Modeling Quote for both books The set would be appropriate for use in a graduate course, with guidance from an instructor Trade Review"This set would be appropriate for use in a graduate course, with guidance from an instructor who has expertise in this approach to multivariate analysis. The interested researcher will find the set to be very helpful, particularly in terms of developing a coherent and accurate interpretation of the results." -- Elizabeth L. Rose * Structural Equation Modeling *Table of ContentsPRIMALS HOMALS ANACOR PRINCALS CANALS OVERALS Some Conclusions

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Book SynopsisMethodological Issues in Aging Research is the first volume in the Notre Dame Series on Quantitative Methodology. This new series provides practical training on the latest quantitative methods used in social and behavioral research. Each volume features contributions from leading experts in state-of-the-art techniques applicable to a selected substantive topic.The first series volume provides researchers with innovative techniques for the collection and analyses of data focusing on aging and lifespan development. The book addresses such techniques as structural equation modeling, latent class analysis, hierarchical linear growth curve modeling, dynamical systems analysis, multivariate Rasch models, survival analysis, multilevel modeling, and quantitative genetic methods. These new techniques provide: better estimates of the direct effect of environmental or treatment effects and the dynamic pattern of genetic and environmental influences on adult development <Trade Review "The illustrative chapters of current methods for studying age change in Bergeman and Boker's 'Methodological Issues in Aging Research' exemplify the quantum leap that developmental methods have taken in the last 40 years.... one can appreciate the welcome benefits and scientific advances these new methods bring with them."—PsycCRITIQUES "The illustrative chapters of current methods for studying age change in Bergeman and Boker's 'Methodological Issues in Aging Research' exemplify the quantum leap that developmental methods have taken in the last 40 years.... one can appreciate the welcome benefits and scientific advances these new methods bring with them."—PsycCRITIQUES Table of ContentsContents: C.S. Bergeman, S.M. Boker, Preface. J.R. Nesselroade, Quantitative Modeling in Adult Development and Aging: Reflections and Projections. C.S. Bergeman, K.A. Wallace, The Theory-Methods Interface. J.J. McArdle, F. Hamagami, Longitudinal Tests of Dynamic Hypotheses on Intellectual Abilities Measured Over Sixty Years. P.J. Curran, D.J. Bauer, M.T. Willoughby, Testing and Probing Interactions in Hierarchical Linear Growth Models. C. Johnson, S.W. Raudenbush, A Repeated Measures, Multilevel Rasch Model With Application to Self-Reported Criminal Behavior. C. Schuster, Latent-Class Analysis Approaches to Determining the Reliability of Nominal Classifications: A Comparison Between the Response-Error and the Target-Type Approach. S.M. Boker, T.L. Bisconti, Dynamical Systems Modeling in Aging Research. M.J. Wenger, C. Schuster, L.E. Petersen, R.C. Petersen, Applying Proportional Hazards Models to Response Time Data. M.C. Neale, S.M. Boker, C.S. Bergeman, H.H. Maes, The Utility of Genetically Informative Data in the Study of Development.

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Book SynopsisThis accessible introductory text addresses the core knowledge domain of research methods. It provides concise coverage of the central concepts, techniques, problems and debates in this key area, while encouraging a critical approach and developing students' higher level skills. Activities help readers build the underpinning generic critical thinking and transferable skills they need in order to become independent learners, and to meet the relevant requirements of their programme of study. The text provides core information on designing psychology research studies with key chapters on both quantitative and qualitative designs. Other chapters look at ethics, common problems, and advances and innovations.Table of ContentsIntroduction Designing Psychology Research Studies Ethics Levels of Measurement Experimental Designs Time Course Studies Correlational Designs Introducing Qualitative Design Qualitative Data Collection Qualitative Data Analysis Mixed Methods Common Problems Report Writing

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Book SynopsisThis is the first book to analyze empirically supported treatments by using the newest criteria from the APA''s Society of Clinical Psychology. Providing up-to-date information for clinicians, scholars, and students; this book points readers to many other useful resources--

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Book SynopsisHow can societies effectively reduce crime without exacerbating adversarial relationships between the police and citizens? In recent decades, perhaps the most celebrated innovation in police reform has been the introduction of community policing, where citizens are involved in building channels of dialogue and improving police-citizen collaboration. Despite the widespread adoption of community policing in the United States and increasingly in the developing world, there is still limited credible evidence about whether it realistically increases trust in the police or reduces crime. Through simultaneously coordinated field experiments in a diversity of political contexts, this book presents the outcome of a major research initiative into the efficacy of community policing. Scholars from around the world uncover whether, and under what conditions, this highly influential strategy for tackling crime and insecurity is effective. With its highly innovative approach to cumulative learning, this project represents a new frontier in the study of police reform.

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Book SynopsisIn this Element, the authors introduce Bayesian probability and inference for social science students and practitioners starting from the absolute beginning and walk readers steadily through the Element. The readers will understand Bayesian theory and practice using social science data.

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Book SynopsisThe influence of partisan news is presumed to be powerful, but evidence for its effects on political elites is limited, often based more on anecdotes than science. Using a rigorous quasi-experimental research design, observational data, and open science practices, this book carefully demonstrates how the re-emergence and rise of partisan cable news in the US affected the behavior of political elites during the rise and proliferation of Fox News across media markets between 1996 and 2010. Despite widespread concerns over the ills of partisan news, evidence provides a nuanced, albeit cautionary tale. On one hand, findings suggest that the rise of Fox indeed changed elite political behavior in recent decades. At the same time, the limited conditions under which Fox News'' influence occurred suggests that concerns about the network''s power may be overstated.

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Book SynopsisFirst textbook on contests for advanced undergraduates and graduates in economics, social sciences, and applied mathematics. A new way to reconsider old economic problems - markets, voting, welfare, labour, economics and development - and study non-standard ones: sports, conflicts among groups, sabotage, war, and affirmative action among others.

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Book SynopsisShared leadership entails a dynamic, interactive influence process among groups and teams. Whereas traditional models of leadership emphasize the importance of vertical leadership as a role occupied by an individual in a designated position, shared leadership emphasizes the importance of leadership as an unfolding social process, shifting the influence to the person with the most relevant knowledge, skills and abilities, juxtaposed against the emerging task related requirements. Research shows that shared leadership is a robust predictor of group, team and organizational outcomes across a variety of organizations, industries and cultural contexts. In fact, shared leadership is a better predictor of outcomes than vertical leadership. This Element provides a comprehensive review of the research on shared leadership, and points to promising directions for the future, in terms of both research and the practical application of shared leadership in action. This title is also available as Open Access on Cambridge Core.

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Book SynopsisDesigned for those undertaking research for the first time, this fully updated edition of The Researcher''s Toolkit is a practical and accessible guide for all those partaking in small-scale research. Jargon-free and assuming no prior knowledge, it covers the entire research process, from defining a research topic or question through to its completion.This second edition has been fully revised by a collaborating team with a wealth of knowledge and practical experience in research project work. Including activity boxes to highlight key concepts and short summary boxes to indicate fundamental elements of various research areas, the chapters cover: The importance of research and framing your research question and research ethics Practical elements associated with planning and executing your research activity The application of survey-based research methods and the value provided by social media as data collection devices Table of Contents1. Why research? What to look out for and what to think of 2. Planning the research 3. Collecting your data: literature and other forms of data 4. Analysing your data 5. Writing it all up 6. Research Impact

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Book SynopsisPsychological Statistics: The Basics walks the reader through the core logic of statistical inference and provides a solid grounding in the techniques necessary to understand modern statistical methods in the psychological and behavioral sciences. This book is designed to be a readable account of the role of statistics in the psychological sciences. Rather than providing a comprehensive reference for statistical methods, Psychological Statistics: The Basics gives the reader an introduction to the core procedures of estimation and model comparison, both of which form the cornerstone of statistical inference in psychology and related fields. Instead of relying on statistical recipes, the book gives the reader the big picture and provides a seamless transition to more advanced methods, including Bayesian model comparison.Psychological Statistics: The Basics not only serves as an excellent primer for beginners but it is also the perfectTrade Review"This book cuts to the very heart of the core principles of statistical inference and does so in a way that is accessible and easily digestible. I honestly wish a book like this one had existed when I was a student – I would have clutched it hard and never let it go!" -- Dr. Ruth Horry, Senior Lecturer in Psychology, Swansea University, UK"I see this book as a very useful resource, not only for those who have just started their journey at the university, but also for senior students to experience "aha!" moments while recapping the basics from a unique and nicely presented perspective. I am looking forward to recommending this book to my students as soon as it is available." -- Dr. Krzysztof Cipora, Lecturer in Mathematical Cognition, Loughborough University, UK"As a new graduate student, I was suddenly faced with academic papers presenting statistical methods. But with hardly any statistical understanding myself, I struggled to do this well. I longed for a book that I could easily refer back to. This is that book. The explanations are very accessible, the examples are relatable, and the book is concise. I thoroughly recommend it." -- Jennifer Read, Graduate Student in Education, University of Derby, UK"If you want to understand why we use statistics in psychology, this is the book for you!" -- Dawn Short, Ph.D. student in Psychology, Abertay University, UK"This is an accessible and helpful educational tool that students with a variety of backgrounds will enjoy. The author incorporates clear examples and is able to frame advanced concepts in a simple and straightforward way." -- Dr. Dawn Weatherford, Associate Professor of Psychology, Texas A&M University - San Antonio, USATable of Contents1. A (Very) Brief Introduction to Statistical Inference 2. Describing the Observed Data 3. Modeling the Observed Data 4. How Likely is the Observed Data? 5. Comparing Statistical Models 6. Introduction to the t-test 7. Bayesian Model Comparison 8. Recap and Next Steps

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Book SynopsisThe Generic Qualitative Approach to a Dissertation in the Social Sciences: A Step by Step Guide is a practical guide for the graduate students and faculty planning and executing a generic qualitative dissertation in the social sciences. Generic qualitative research is a methodology that seeks to understand human experience by taking a qualitative stance and using qualitative procedures. Based on Sandra Kostere and Kim Kostere's experiences of serving on dissertation committees, this book aims to demystify both the nuances and the procedures of qualitative research, with the aim of empowering students to conduct meaningful dissertation research and present findings that are rigorous, credible, and trustworthy. It examines the fundamental principles and assumptions underlying the generic qualitative method, then covers each stage of the research process including creation of research questions, interviews, and then offers three ways of analyzing the data gathered and presentiTable of Contents1. Beginning the Journey 2. The Research Question 3. Research Plan 4. Preparing for the Interview 5. Other Qualitative Data Collection Methods 6. Data Analysis 7. Presentation of the Data 8. Completing the Journey

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Book SynopsisQuantitative Psychological Research: The Complete Student''s Companion, expertly guides the reader through all the stages involved in undertaking quantitative psychological research: designing a study, choosing a sample of people, undertaking the study, analysing the data, and reporting the research.Accessibly written and clearly presented, the book is designed for anyone learning to conduct quantitative psychological research as well being a reference work for professional psychologists. It covers the full research process, from the original idea to reporting the completed study, emphasizing the importance of looking beyond statistical significance in evaluating data. The book provides step-by-step guidance on choosing, interpreting and reporting the appropriate analysis, featuring worked examples and extended calculations as appendices for readers who wish to delve further.This edition features a new chapter examining ideas on how causality might be identified when dTable of ContentsDetailed contents of chapters Preface Part 1Introduction 1 The methods used in psychological research Part 2Choice of topic, measures and research design 2 The preliminary stages of research 3 Variables and the validity of research designs 4 Research designs and their internal validity Part 3Methods 5 Asking questions I: Interviews and surveys 6 Asking questions II: Measuring attitudes and meaning 7 Observation and content analysis Part 4Data and analysis 8 Scales of measurement 9 Summarising and describing data 10 Going beyond description 11 Samples and populations 12 Analysis of differences between a single sample and a population 13 Effect size and power 14 Parametric and non-parametric tests 15 Analysis of differences between two levels of an independent variable 16 Preliminary analysis of designs with one independent variable with more than two levels 17 Analysis of designs with more than one independent variable 18 Subsequent analysis after ANOVA or χ2 19 Analysis of relationships I: Correlation 20 Analysis of relationships II: Regression 21 Analysis of relationships III: Logistic regression22 Analysis of covariance (ANCOVA) 23 Screening data 24 Exploratory Factor Analysis (EFA)25 Multivariate analysis 26 Meta-analysis 27 Bayesian statistics28 Cause and effectPart 5Sharing the results 29 Reporting research AppendixesI. Descriptive statistics (linked to Chapter 9)II. Sampling and confidence intervals for proportions (linked to Chapter 11)III. Comparing a sample with a population (linked to Chapter 12 and Chapter 11)IV. The power of a one-group z-test and finding sample sizes via confidence intervals (linked to Chapter 13)V. Data transformation and goodness-of-fit tests (linked to Chapter 14)VI. Seeking differences between two levels of an independent variable (linked to Chapter 15)VII. Seeking differences between more than two levels of an independent variable (linked to Chapter 16)VIII. Analysis of designs with more than one independent variable (linked to Chapter 17)IX. Subsequent analysis after ANOVA or χ2 (linked to Chapter 18)X. Correlation and reliability (linked to Chapter 19)XI. Linear Regression (linked to Chapter 20)XII. Logistic regression (linked to Chapter 21)XIII. ANCOVA (linked to Chapter 22)XIV. Evaluation of measures: Item and discriminative analysis, and accuracy of tests (linked to Chapter 6)XV. Unbalanced designs(linked to Chapter 23)XVI Exploratory Factor Analysis (linked to Chapter 24)XVII. Meta-analysis (linked to Chapter 26)XVIII. Bayesian statistics(linked to Chapter 27)XIX. Probability tables XX. Power tables XXI. Miscellaneous tables References Glossary of symbols Author indexSubject index

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Book SynopsisThis book revisits the arguments by which Harvey Sacks and Harold Garfinkel opposed the widespread attempt in the social sciences to construct disciplinary theories and methods in place of common-sense knowledge of human action, and proposed instead an alternative that would investigate the organised methods of natural language use and common-sense reasoning that constitute social orders arguments that led to the establishment and proliferation of ethnomethodology and conversation analysis. As the very constructive analysis that they opposed has begun to be incorporated into influential lines of research in ethnomethodology and conversation analysis, the authors return to the founding insights of the field and reiterate the importance of Garfinkel and Sacks' original and controversial proposals for an alternate sociology of practical action and practical reasoning. Showing how constructive analysis has become entrenched in ethnomethodology and conversation analysis and arguiTable of ContentsIntroduction. Part I: Foundations 1. On Formal Structures of Practical Action. 2. Sequential Analysis as an Investigation of Formal Structures of Practical Action. 3. Ethnomethodological Studies of Work. Part II: Conversation Analysis. 4. Autonomous Structures of Conversational Actions. 5. Technical and Vernacular Description. Part III: Studies of Work and Organisational Contexts. 6. Institutional Talk. 7. Workplace and Work-Practice Studies. Part IV: Normalising EMCA. 8. Importing Constructive Analytic Theory and Method. 9. The Problem with Collections. 10. A Case Study: Apologies and Constructive Analysis. 11. Conclusion. References.

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Book SynopsisMost organizations today operate in volatile economic and social environments and qualitative research plays an essential role in investigating leadership and management problems. This unique volume offers novice and experienced researchers a brief, student-centric research methods text specifically devoted to the multiple case study design.The multiple case study design is a valuable qualitative research tool in studying the links between the personal, social, behavioral, psychological, organizational, cultural, and environmental factors that guide organizational and leadership development. Case study research is essential for the in-depth study of participants'' perspectives on the phenomenon within its natural context. Rigorously designed management and leadership case studies in the extant literature have a central focus on individual managers'' and leaders'' stories and their perceptions of the broader forces operating within and outside their organizations. This Table of Contents1. A Refresher on the Philosophical Foundations of Academic Research 2. Research Methodologies: The Basics 3. The Role of Theory in Qualitative Research 4. How does the Novice Researcher Design a Multiple Case Study? 5. The Advantage of the Multiple Case Study Design for Management Researchers 6. Applying Data Collection Methods in Multiple Case Study Research 7. The Data Analysis Process for Multiple Case Study Research 8. Extending Theory with Multiple Case Study Design 9. Incorporating Multiple Case Design and Methodologies into Teaching and Professional Practice 10. Writing and Publishing Multiple Case Study Research 11. Concluding Thoughts

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Book SynopsisThe term sensitive research' is applied to a wide range of issues and settings. It is used to denote projects that may involve risk to people, stigmatising topics, and/or require a degree of sensitivity on behalf of the researcher. Rather than take the notion of sensitive research' for granted, this collection unpacks and challenges what the term means. This book is a collective endeavour to reflect on research practices around sensitive research', providing in-depth explorations about what this label means to different researchers, how it is done including the need to be sensitive as a researcher and what impacts this has on methods and knowledge creation. The book includes chapters from researchers who have explored a diverse range of research topics, including sex and sexuality, death, abortion, and learning disabilities, from several disciplinary perspectives, including sociology, anthropology, health services research and interdisciplinary work. The researchers includeTable of Contents1. Introduction: Unpacking sensitive research: a stimulating exploration of an established concept Part 1: Unpacking ‘sensitivity’: the tyranny of established definitions 2. What is ‘sensitive’ about sensitive research? The sensitive researchers’ perspective 3. Relatively normal? Navigating emergent sensitivity in generating and analysing accounts of ‘normality’ 4. Involving young people with life-limiting conditions in research on sex: the intersections of taboo and vulnerability Part 2: ‘Sensitive’ Ethics in action: Research encounters and 'Whose research is this anyway'? 5. Reflecting on asynchronous internet mediated focus groups for researching culturally sensitive issues 6. ‘Working together is like a partnership of entangled knowledge’: exploring the sensitivities of doing participatory data analysis with people with learning disabilities 7. Difficult data: reflections on making knowledge claims in a turmoil of competing subjectivities, sensibilities and sensitivities Part 3: ‘The ideal sensitive researcher’: reflexivity, internalisation and the cost to self? 8. Internalising ‘sensitivity’: vulnerability, reflexivity and death research(ers) 9. Researching perinatal death: managing the myriad of emotions in the field 10. ‘Men, we just deal with it differently’: researching sensitive issues with young men 11. The performance of researching sensitive issues

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The methodological needs of environmental studies are unique in the breadth of research questions that can be posed, calling for a textbook that covers a broad swath of approaches to conducting research with potentially many different kinds of evidence.Fully updated to address new developments such as the effects of the internet, recent trends in the use of computers, remote sensing, and large data sets, this new edition of Research Methods for Environmental Studies is written specifically for social science-based research into the environment. This revised edition contains new chapters on coding, focus groups, and an extended treatment of hypothesis testing. The textbook covers the best-practice research methods most used to study the environment and its connections to societal and economic activities and objectives. Over five key parts, Kanazawa introduces quantitative and qualitative approaches, mixed methods, and the special requirements of interdisciplina

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Book SynopsisEffective performance management is core to successful organizations. The new edition continues to look at performance management as an interdisciplinary field of study and practice and draws upon a wide set of business disciplines, including strategic management, organizational behaviour, organizational theory, and management accounting.The book provides a contemporary examination of theories, issues, and practices related to performance management with an original performance management framework, grounded in concrete organizational phenomena, therefore making it more accessible and meaningful to practitioners, scholars, and students. The updated edition also examines organizationsâ evolving use of digital business transformation and the effect on performance management design.With updated cases, the latest edition will help readers to gain insights into the fields of strategic management, organizational behaviour, organizational theory, and management accounting andTrade Review"An important aspect of corporate culture is a strong performance culture that recognises and rewards the right behaviour beyond achieving short-term financial goals. This must be underpinned by an effective performance measurement system. The focus on ESG and digitalisation of businesses also challenge the performance management systems of many companies. The new edition of Ralph W. Adler’s book provides a useful framework for approaching the design of a performance measurement system and is a timely reminder of the importance of an effective performance measurement system for a high-performing and ethical organisation."Mak Yuen Teen, PhD, FCPA (Aus), Professor (Practice) of Accounting, National University of Singapore"I love when a book not only contains all the relevant information but is written in a way that can be understood by many, not just elite academics. This is one such book. From what I have read, I would recommend this book for those studying, teaching, or working in the area of management accounting – with an emphasis on performance management. By critiquing and comparing respective early frameworks and providing a clear history of performance management, Adler has cleverly derived a new and original performance management framework. This conceptual model then informs the remainder of the new edition with the addition of ethical behaviours and digital business transformation. Providing detailed knowledge of prior research is essential to informing these new and improved ways of organizational structure and ensuring the capture of 21st-century innovations."Robyn Pilcher, PhD (USyd), MCom, BBus, FCPA, FIPA, CMA , Adjunct Associate Professor, Curtin University, Australia"This textbook does an excellent job of condensing and presenting in a manner understandable to students the multifarious field of performance management (management control). The framework developed and used throughout the textbook captures the various elements of performance management in a manner that can be readily applied in practice."Ralph Kober, Associate Professor of Accounting, Monash University, AustraliaTable of Contents1. Performance Management: An Introduction PART 1 Performance Management Beginnings 2. What is Performance Management? 3. The Rise of Performance Management 4. Theory and Performance Management PART 2 Organizational Strategy 5. Organizational Goals and Objectives 6. Business Ethics as an Element of Organizational Strategy 7. Introduction to Organizational Strategy 8. Competitive Strategy 9. Digital Business Transformation: Connections to Competitive Strategy PART 3 Levers of Control 10. Organizational Structure 11. Operating Systems, Processes and Procedures 12. Organizational Culture PART 4 Contingent Factors 13. Internal Environment 14. External Environment 15. Conclusion

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Book SynopsisThis book presents a vivid and close-up view of social science researchers engaged in fieldwork, in discussions with colleagues, and in writing. Adopting an ethnographic approach inspired by ethnomethodology and conversation analysis, the author pursues a praxeological analysis of social inquiry in situ. By conceiving of analytical practices such as observation, shop talk, and conceptualization in experiential terms, the seen but unnoticed structures of knowledge work are exposed and made available for empirical analysis.In a departure from ethnographic studies of research that focus on the physical sciences, the author uses the example of sociological research to shed new light on the role of self and mind for epistemic cultures, on the elusive materiality of conceptual objects, and on researchers' experiential ways of seizing, reviewing, and accrediting knowledge.A rich and pervasive study of elementary sites in the research process, The Body of Knowledge <Trade Review'Empirically, the book follows its actors in all potential corners of their doing and thinking, their movements and looks, their encounters with others and themselves. Notably, it is the theme of self-encounter that pervades the analysis. Time after time, observers are relating to themselves, to their actions, and their (non-)impact, their competencies and their (inchoate) knowledge. Thus, it becomes apparent that the classic definition of the "situation" is also at stake and that the interaction with oneself should be conceived as a social situation.' - Herbert Kalthoff, University of Mainz, Germany'I find this an innovative, empirically wide-ranging, and conceptually rich and developed work (…), commensurate with its broad, discipline-transcending interest and potential impact. Although all kinds of textbooks, books of advice, and essayistic renderings of various aspects of the research process exist – more in the humanities than in sociology – none display the same level of detail, observational perceptiveness, and theoretical sensitivity to the research process and its various components as this one (…). The chapter on writing in particular comes close to a conversation analysis study of the "succession" of the writing process and its many aspects, including that of generating ideas while writing and of dissociating oneself from the text and then re-appropriating it as an interaction party – as a communicative other.' - Karin Knorr Cetina, The University of Chicago, USA'…an ethnomethodological account of an oft-overlooked set of related practices common to social research. There will, undoubtedly, be readers interested in the sociality of research methods who will find this book a vital contribution.' – Phil Brooker, Symbolic InteractionTable of Contents1. Research Unsettled: Bodies of Knowledge in Social Inquiry 2. Grounds of Fieldwork: Making Experiences, Taking Records, Filing the Social 3. Talk-at-Hand: Conversational Spaces for Handling Conceptual Objects 4. Shops of Writing and the Practice of Self-Review 5. How Bodies Attach to Conceptual Objects: From 'Careers' of Facts to Fields and Shops of Inquiry

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Book SynopsisEight Domains of Phenomenology and Research Methods is a unique text that explains how the foundational literature representing our lifeworld experience aligns theory with research methods.Maintaining focus on the core problem of phenomenological investigations, the author strives to bridge theory with applied research by critically reviewing examples from the applied literature. With the extensive use of the foundational literatureâs original voices, the book elaborates on how renowned scholars such as Husserl, Heidegger, and Sartre argued their ideas. A range of diverse voices is also explored through the perspectives of feminist and Black phenomenologists. The text then goes on to unpack the phenomenological methodologies with detailed explanations of signature techniques, hereunder the epochà and reduction from the perspectives of transcendental phenomenology, phenomenological psychology, and genetic (generative) phenomenology. Finally, it addresses the problem oTable of Contents1. Introduction2. Review of the Seminal Methodological Literature3. What Is a Phenomenon?4. I Think Therefore I Am5. Why Are We Studying First-Person Point of View Experiences?6. Epistemological Phenomenology7. Epoché and Reduction: The Phenomenological Methods8. Existential Phenomenology9. Critical Phenomenology10. The Phenomenological Research Question11. The Phenomenological Interview12. Decision TreeReferencesIndex

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Book SynopsisPhilosophical Foundations of Mixed Methods Research provides a comprehensive examination of the philosophical foundations of mixed methods research. It offers new defences of the seven main approaches to mixed methods (the pragmatist approach, the transformative approach, the indigenous approach, the dialectical approach, the dialectical pluralist approach, the performative approach, and the realist approach) written by leading mixed methods researchers. Each approach is accompanied by critical reflections chapter from philosophers' point of view. The book shows the value of the use of mixed methods from a philosophical point of view and offers a systematic and critical examination of these positions and approaches from a philosophical point of view. The volume also offers a platform to promote a dialogue between mixed methods researchers and philosophers of science and provides foundations for further research and teaching of this hotly debated topic. Table of Contents1. Assessing Philosophical Foundations of Mixed Methods Research; Part I. Thus Spoke Researchers 2. A Pragmatist Approach to Mixed Methods Research 3. The Philosophical Foundations of a Transformative Approach to Mixed Methods 4. Philosophical Underpinnings of Mixed Methods: Decolonizing Evaluation Practice through Decolonising Paradigms 5. The Dialectic Stance: Navigating Difference 6. Dialectical Pluralism and Integration in Mixed Methods Research 7. A Performative Approach to Mixed Methods Research 8. A Realist Approach for Mixed Methods Research; Part II. Thus Spoke Philosophers 9. Mixed Methods Research and Deweyan Pragmatism Reconsidered 10. Mixed Methods Research and Critical Realism Reconsidered 11. Mixed Methods and Causal Ontology 12. Evidential Partnerships and Multi-method Research in Political Science: Methodological, Evidential, and Causal Pluralisms

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Book SynopsisQualitative Research Approaches for Psychotherapy offers the reader a range of current qualitative research approaches congruent with the values and practices of psychotherapy itself: experience-based, reflective, contextualized, and critical.This volume contains 14 compelling, challenging new essays from authors in both the Northern and Southern hemispheres, writing from a range of theoretical and cultural perspectives. The book covers both established and emerging approaches to qualitative research in this field, beginning with case study, ending with postqualitative, and with hermeneutic, reflexive, psychosocial, Talanoa, queer, feminist, critical race theory, heuristic, grounded theory, authoethnographic, poetic and collaborative writing approaches in between. These chapters introduce and explore the complexity of the specific research approach, its assumptions, challenges, ethics, and potentials, including examples from the authors' own research, therapeutic praTrade Review"I cherish this book as a powerful and much needed tool of decolonisation. The contributors offer insightful chapters that can help us push back against the tokenism, methodolatry, and perspective-less abstractions of mainstream qualitative research. I felt inspired as I read on and connected with the promise of soulful research that sees the intrapsychic alongside the interpersonal, sociocultural, and political. I can’t wait to share this book with my students (undergraduate and doctorate alike) who are thirsty for scholarship that honours depth and brings psychotherapy practice closer to their research endeavours" -- Dr Miltiades Hadjiosif, Senior Lecturer in Counselling Psychology, University of the West of England, USA"Bringing together an impressive field of international authors, this book invites readers into the nexus between qualitative research and psychotherapy practice. It is an ‘essential text’ for the resource list of any psychological therapy training programme. It introduces us to the lexicon of research theory and practice. The book traverses a wide range of methodologies, and this is revealed through both content and styles of writing. Expertise comes from northern and southern hemispheres, and from indigenous, feminist, queer, and critical voices. This is a highly creative, informative, and clinically thought-provoking text." -- Paula Collens, PhD, Senior Lecturer Auckland University of Technology, Course Leader, Research for Psychotherapy, New Zealand"This book is carefully constructed to introduce and discuss qualitative approaches in psychotherapy. Contributors invite readers into their individual approaches through a participative reading, the single chapters thus becoming a construction in their own right which can be seen both as a ‘finished’ work or as a ‘symphonic’ work made up of many movements." -- Dione Mifsud, Department of Counselling, University of Malta, MaltaTable of Contents1. Into the Thick of It: Troubling Case Studies and Researching Close to Therapeutic Practice 2. Hermeneutic Phenomenology: Exploring and Making Meaning of Lived Experience in Psychotherapy Research 3. Using Performative Meta-Reflexivity in Psychotherapy Research 4. A Psychosocial Coming into Play: Researching Authenticity in Therapy, The Academy, and Friendship 5. Feminist Research in Psychotherapy: The Strange Case of The United Kingdom’s ‘Hostile Environment’ Policy 6. Critical Race Theory: A Methodology for Research in Psychotherapy 7. Pasifika Research Methodologies and Psychotherapy 8. Queering Psychotherapy Research: Collaborative Autoethnography and Fossicking 9. Critical Heuristics in Psychotherapy Research: From ‘I Who Feels’ to ‘We Who Care—and Act’ 10. Keeping It Real: Grounded Theory for a Profession on the Brink 11. Researching from the Inside: Using Autoethnography to Produce Ethical Research from Within Psychotherapy Practice 12. (Re)searching Poetically: Poetic Inquiry in Psychotherapy 13. Putting Ourselves in the Picture: Phototherapy, Collaborative Writing, and Psychotherapy Research 14. From Post-Qualitative Inquiry Towards Creative-Relational Inquiry in (And Beyond) the Education/Training of Therapists 15. Re-Searching Research: Reflections on Contributions to Qualitative and Post-Qualitative Research

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Book SynopsisMaking Sense of Statistics, Eighth Edition, is the ideal introduction to the concepts of descriptive and inferential statistics for students undertaking their first research project. It presents each statistical concept in a series of short steps, then uses worked examples and exercises to enable students to apply their own learning.It focuses on presenting the why, as well as the how of statistical concepts, rather than computations and formulas. As such, it is suitable for students from all disciplines regardless of mathematical background. Only statistical techniques that are almost universally included in introductory statistics courses, and widely reported in journals, have been included. This conceptual book is useful for all study levels, from undergraduate to doctoral level across disciplines. Once students understand and feel comfortable with the statistics presented in this book, they should find it easy to master additional statistical concepts.Table of ContentsIntroduction: What is Research?; Part A: The Research Context 1. The Empirical Approach to Knowledge 2. Types of Empirical Research 3. Scales of Measurement 4. Descriptive, Correlational, and Inferential Statistics; Part B: Sampling 5. Introduction to Sampling 6. Variations on Random Sampling 7. Sample Size 8. Standard Error of Mean and Central Limit Theorem; Part C: Descriptive Statistics 9. Frequencies, Percentages, and Proportions 10. Shapes of Distributions 11. The Mean: An Average 12. Mean, Median, and Mode 13. Range and Interquartile Range 14. Standard Deviation 15. Z Score; Part D: Correlational Statistics 16. Correlation 17. Pearson r 18. Scattergram 19. Coefficient of Determination 20. Multiple Correlation; Part E: Inferential Statistics 21. Introduction to Null Hypothesis 22. Decisions About the Null Hypothesis 23. Limits of Significance Testing and Practical Implications; Part F: Means Comparison 24. Introduction to the t Test 25. Independent Samples t Test 26. Dependent Samples t Test 27. One Sample t Test 28. Reporting the Results of t Tests: Display of Outcomes 29. One-Way ANOVA 30. Two-Way ANOVA; Part G: Predictive Significance 31. Chi-Square 32. Effect Size 33. Simple and Multiple Linear Regressions; Appendix A. Computations Appendix B. Notes on Interpreting Pearson r and Linear Regression Appendix C. Table of Random Numbers

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Book SynopsisThis is the first textbook designed to teach statistics to students in aviation courses. All examples and exercises are grounded in an aviation context, including flight instruction, air traffic control, airport management, and human factors. Structured in six parts, this book covers the key foundational topics relative to descriptive and inferential statistics, including hypothesis testing, confidence intervals, z and t tests, correlation, regression, ANOVA, and chi-square. In addition, this book promotes both procedural knowledge and conceptual understanding. Detailed, guided examples are presented from the perspective of conducting a research study. Each analysis technique is clearly explained, enabling readers to understand, carry out, and report results correctly. Students are further supported by a range of pedagogical features in each chapter, including objectives, a summary, and a vocabulary check.Digital supplements comprise downloadable dTable of ContentsTable of ContentsPart A: Research and Statistics BasicsChapter 1: The General Nature of Research and Statistics Student Learning Outcomes1.1 Chapter Overview 1.2 The Research Process1.3 The Population–Sample Relationship and Sampling Error1.4 Quantitative Research Methodologies1.5 Variables and Measurement Scales Chapter SummaryVocabulary CheckReview ExercisesReferencesChapter 2: Organizing and Summarizing DataStudent Learning Outcomes2.1 Chapter Overview 2.2 Examining Distributions 2.3 Measures of Central Tendency2.4 Measures of Dispersion2.5 Measures of Position: Percentiles and QuartilesChapter SummaryVocabulary CheckReview ExercisesReferencesPart B: Making Reasonable Decisions about a Population Chapter 3: Z Scores, the Standard Normal Distribution, and Sampling DistributionsStudent Learning Outcomes3.1 Chapter Overview 3.2 z Scores3.3 The Standard Normal Distribution3.4 The Sampling Distribution of Sample MeansChapter Summary Vocabulary CheckReview ExercisesReferencesChapter 4: The Concept of Statistical InferenceStudent Learning Outcomes4.1 Chapter Overview 4.2 Parameter Estimation4.3 The Nature of Hypothesis Testing4.4 Hypothesis Tests Involving the Mean ( Known)4.5 Confidence Intervals vs. Hypothesis TestsChapter Summary Vocabulary CheckReview ExercisesReferencesPart C: Analyzing Research Data Involving a Single SampleChapter 5: Single-Sample t TestStudent Learning Outcomes5.1 Chapter Overview 5.2 The t Test Statistic and t Distribution5.3 Confidence Intervals and the t Distribution5.4 Hypothesis Testing and the t Distribution5.5 Using the Single-Sample t Test in Research: A Guided ExampleChapter Summary Vocabulary CheckReview ExercisesReferencesChapter 6: Examining Bivariate Relationships: CorrelationStudent Learning Outcomes6.1 Chapter Overview 6.2 Correlation Fundamentals6.3 Quantifying Relationships: The Pearson r6.4 Statistical Aspects of Correlation6.5 Statistical Inferences Involving the Pearson r6.6 Using Bivariate Correlation in Research: A Guided ExampleChapter Summary Vocabulary CheckReview ExercisesReferencesChapter 7: Examining Bivariate Relationships: RegressionStudent Learning Outcomes7.1 Chapter Overview 7.2 The Regression Equation7.3 Statistical Aspects of Regression7.4 Statistical Inferences Involving the Regression Coefficient7.5 Using Bivariate Linear Regression in Research: A Guided ExampleChapter Summary Vocabulary CheckReview ExercisesReferencesPart D: Analyzing Research Data Involving Two Independent SamplesChapter 8: Independent-Samples t TestStudent Learning Outcomes8.1 Chapter Overview 8.2 The Concept of Independent Samples8.3 Statistical Inferences Involving Independent Samples8.4 Using the Independent-Samples t Test in Research: A Guided ExampleChapter Summary Vocabulary CheckReview ExercisesReferencesChapter 9: Single-Factor ANOVA Student Learning Outcomes9.1 Chapter Overview 9.2 The Concept of ANOVA9.3 The ANOVA Summary Table and the F Distribution9.4 Statistical Inferences Involving the Single-Factor ANOVA: Hypothesis Testing9.5 Using Single-Factor ANOVA in Research: A Guided ExampleChapter Summary Vocabulary CheckReview ExercisesReferencesChapter 10: Factorial ANOVAStudent Learning Outcomes10.1 Chapter Overview 10.2 The Concept of Factorial Designs10.3 The Logic and Structure of Factorial ANOVA10.4 Statistical Inferences Involving Factorial ANOVA: Hypothesis Testing10.5 Using Factorial ANOVA in Research: A Guided ExampleChapter Summary Vocabulary CheckReview ExercisesReferencesPart E: Analyzing Research Data Using a Within-Groups DesignChapter 11: Repeated-Measures t TestStudent Learning Outcomes11.1 Chapter Overview 11.2 The Concept of Repeated-Measures11.3 Statistical Inferences Involving the Repeated-Measures t Test11.4 Using the Repeated-Measures t Test in Research: A Guided ExampleChapter Summary Vocabulary CheckReview ExercisesReferencesPart F: Non-Parametric Statistics: Working with Frequency DataChapter 12: The Chi-Square StatisticStudent Learning Outcomes12.1 Chapter Overview 12.2 One-Way Chi-Square: The Test for Goodness of Fit12.3 Using the Chi-Square Test for Goodness of Fit in Research: A Guided Example12.4 Two-Way Chi-Square: The Test for Independence12.5 Using the Chi-Square Test for Independence in Research: A Guided ExampleChapter Summary Vocabulary CheckReview ExercisesReferencesAppendix TablesTable 1: Area Under the Standard Normal Curve Between the Mean and z Table 2: Critical Values of Student’s t DistributionTable 3: Critical Values for Pearson rTable 4: Power Table for Pearson rTable 5: Critical F ValuesTable 6: Critical Values of the Chi-Square DistributionTable 7: Sample Size and Power for Chi-Square Test for IndependenceAnswers to Part A Review ExercisesIndex

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Book SynopsisDespite the rising popularity of visual research methods, from images and collages to videos and animations, there is an imminent need for a book that can be a point of reference for learning about visual methods in the field of marketing and consumer research. This book offers a comprehensive outlook of visual research methods in the field, highlighting their value and offering a practical guide for researchers. Building on the experiences and discussions of both experienced and aspiring visual researchers, the editors present this book as a go-to' guide for doing visual research in marketing and consumer research.This book encompasses nine chapters guiding the readers through the ABCs of visual research from philosophy to data collection and analysis, with a dedicated chapter on research dissemination. You can expect detailed discussions on the ontological and epistemological stance of visual research as well as an elaborate yet simple to follow guide of all aspects of data

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Book SynopsisThis accessible and engaging textbook helps students to get to grips with key concepts, issues, and practices in social science research through the use of fun and informative illustrations and examples. Written and illustrated by an experienced teacher of research methods in the social sciences, each chapter explains research concepts while using everyday examples and illustrations to make applied research comprehensive to students. It explains the step-by-step process for carrying out research through a range of topics and approaches, including survey research, research ethics, sampling, and experimental research. Chapters also include learning objectives, class activities, key terms, helpful hints, and suggestions for further reading. This book will be essential reading for any undergraduate research methodology class in the social sciences.

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Book SynopsisThis practical text covers the essential aspects of managing employees, providing relevant and interesting case studies to enable students to develop the management skills and approaches needed at all levels. The book includes a wealth of case studies across industries including public relations, gaming, food service, healthcare, and nonprofits and hailing from several regions and cultures (including Australia, the Philippines, US, and Taiwan).The five core sections of the text each focus on a specific managerial skillset: dilemmas managers face when creating a positive work culture, power and influencing others, conflict within a team, managing a cross-cultural team, and motivating and fostering employee engagement. Within each section, short case studies feature real-life situations and managers who had to assess and respond to various challenges with subordinates, colleagues, or their immediate boss. Each case is supported by a case synopsis, reflective questions, and rela

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Book SynopsisWriting well is an essential skill for sociologists, but few books help students learn to write well. Designed to help students produce a manuscript that is clear, concise, and compelling, Effective Writing for Sociology demonstrates and deconstructs what makes effective writing and how best to communicate scholarly ideas. The first half of the book addresses the fundamentals of good writing: writing clearly, conveying emphasis, writing concisely, and crafting effective paragraphs. The second half then looks to the three most important sections of a research report: framing an introduction, reporting results, and discussing findings. Each chapter of the book describes strategies for effective writing, illustrated with multiple examples and providing exercises where students can try their hand at implementing these strategies. The Epilogue provides tips on choosing a title as well as writing an abstract and method section; it also includes suggestions on how to master tTable of ContentsAcknowledgmentsPrologue 1 Writing Clearly 2 Writing with Emphasis 3 Writing Concisely, with Some Spice 4 The Art of Fine Paragraphs 5 Framing the Introduction 6 Reporting Results 7 Discussing Your Findings Epilogue: The end of the book, but the beginning of your writing journey Glossary Bibliography Index

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Book SynopsisMultimodal Methods in Anthropology develops several goals simultaneously. First, it is an introduction to the ways that multimodality might work for students and practitioners of anthropology, using multiple examples from the authors' research and from the field. Second, the book carefully examines the ethics of a multimodal project, including the ways in which multimodality challenges and reproduces digital divides. Finally, the book is a theoretical introduction that repositions the history of anthropology along axes of multimodality and reframes many of the essential questions in anthropology alongside collaboration and access. Each chapter introduces new methods and techniques, frames the ethical considerations, and contextualizes the method in the work of other anthropologists. Multimodal Methods in Anthropology takes both students and practitioners through historical and contemporary sites of multimodality and introduces the methodological and theoretical chall

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Book SynopsisThose new to research often end up âmaking a meal of itâ because it can be tricky to know exactly where to begin. But it doesnât have to be so daunting. This workbook has been designed mostly for those going into postgraduate study, but it can also be used by anyone looking to start their journey into research. It will help you better understand what research is, how to do it (with activities to help you think about this in the context of your own research) and where you might start looking in the vast ocean of resources out there.Table of ContentsWhat is Research?; Section One: Process of Investigation Prepare Yourself Identify your type of ‘Kitchen’ Flinging open the Pantry Who are You? Locating your Research Relationship to Theory Making a Meal Methods, Methods, Methods Choosing your Tools; Section Two: Leading to New Insight Finding New Insights Left’s Shift Perspectives; Section Three: Effectively Shared Dissemination Impact of your Research

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Book SynopsisMethodological Concepts: A Critical Guide clarifies many key terms and issues in social research methodology. It outlines the conventional meanings of these terms, but also addresses their contentious character. The aim is to offer interpretations of them that provide a coherent conception of the nature of social science. This book is premised on the idea that more clarity about the meaning of major methodological concepts is essential, and that the disagreements which pervade the field must be addressed. Numerous key terms are discussed across 13 chapters, including methodology', method', inquiry', research', science', truth', fact', rigour', bias', objectivity', data', evidence', induction', deduction', abduction', understanding', explanation', reflexivity', triangulation', theory', and researcher integrity'. These concepts have been implicated in fundamental divisions among social scientists, exemplified by the paradigm wars' of the past few decades. The chapters Table of ContentsIntroduction 1. Methodology and method 2. Inquiry, research, and science 3. Truth 4. Fact 5. Bias and objectivity 6. Rigour 7. Data and evidence 8. Deduction, induction, and abduction 9. Understanding and explanation 10. Reflexivity 11. Triangulation 12. Theory 13. Researcher integrity References Glossary of philosophical terms

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Book SynopsisEssentials of Business Research Methods provides an accessible and comprehensive introduction to research methods and analytical techniques for business students. The authors offer a straightforward, hands-on approach to the vital managerial process of gathering and using data to make relevant and timely business decisions.Covering both qualitative and quantitative analysis, the book explores critical topics, including ethics in business research, privacy matters, data analytics, customer relationship management, how to conduct information-gathering activities more effectively in a rapidly changing business environment, and more. This fifth edition has been fully updated throughout, covering emerging technologies such as machine learning and blockchain technology, as well as expanded coverage of secondary data, using examples from around the world.A realistic continuing case used throughout the book, applied research examples and ethical dilemma mini caseTable of ContentsPart I: Introduction 1: Business Research for The Twenty-First Century 2: Overview of the Research Process 3: Ethics in Business Research Part II: Beginning the Research 4: Defining the Research Problem and Reviewing the Literature 5: The Nature and Sources of Secondary Business Data Chapter 6: Conceptualization and Research Design Part III: Sampling and Data Collection 7: Sampling Approaches and Considerations 8: Methods of Collecting Primary Data 9: Measurement and Scaling 10: Questionnaire Design Part IV: Analysis and Interpretation of Data 11: Basic Data Analysis for Qualitative Research 12: Basic Data Analysis for Quantitative Research 13: Testing Hypotheses in Quantitative Research 14: Examining Relationships Using Correlation and Regression 15: Other Multivariate Techniques Part V: Communicating the Results 16: Reporting and Presenting Research

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Book SynopsisA Practical Guide to Survey Questionnaire Design and Evaluation summarizes practical principles, guidelines, and best practices for developing and testing survey questionnaires driven and supported by theoretical and empirical research. It provides a broad overview of literature on questionnaire design, drawing on both theoretical and empirical research.The book consists of three parts. The first covers the survey response process model, which will serve as the theoretical framework to establish the basic principles of writing different types of survey questions (attitudinal, behavioral, demographic and knowledge). The second part of the book will focuses on special topics such as sensitive questions, developing questionnaires for children, designing a paper survey, designing a web survey and optimizing for a mobile device, developing questionnaires for a multimode survey, and conducting surveys in multiple languages and cultures. The third part of the book will focus

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Book SynopsisThis practical and accessible textbook provides an overview of the key principles for conducting ethnography in healthcare settings. Shedding new light on healthcare delivery and experiences, ethnographic research methods provide a useful set of tools for observing how people act in the world and help us understand why people act as they do. Increasingly recognized for their explanatory power, especially around behavior and social context, ethnographic methods are an invaluable approach for understanding challenges and processes in healthcare services and delivery.This guide takes the reader step-by-step through the research process, from grant writing and study design to data collection and analysis. Each chapter, illustrated by a range of examples, introduces ethnographic concepts and techniques, considers how to apply them in pragmatic research, and includes suggestions for tips and tricks. An in-depth case study describing real-world ethnographic research in a healthcare

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Book SynopsisEthnography: The Basics introduces a broad and beginner audience to ethnography, as a research methodology with diverse applications. By using everyday language, and developing a warm and inclusive tone, the book provides an accessible entry point to the topic.In both tone and content, the book provides a picture of the practice of ethnography that is both human and humane; tackling some of the practical barriers, ethical complexities, and lived experiences, in an honest and straightforward way. Organised into eight chapters, the book provides a comprehensive overview of the unique purpose, value, and scope of ethnography and provides a practical guide as to what the practice of ethnography involves, such as: steps for designing research, gathering data, analysing and presenting findings.Without relying on assumed familiarity with, or interest in, discipline-specific histories and frameworks, Ethnography: The Basics combines clear structure, plain languag

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Book SynopsisMultiple Regression and Beyond provides a conceptually oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with related analyses. By emphasising the concepts and purposes of MR rather than the derivation and calculation of formulas, this book presents the material in a clearer and more accessible way. This approach not only covers essential coursework but also makes it more approachable for students, increasing the likelihood that they will conduct research using MR or SEM effectively and wisely.This book covers both MR and SEM, explaining their relevance to each other. It also includes path analysis, confirmatory factor analysis, and latent growth modeling, incorporating real-world research examples throughout the chapters and end-of-chapter exercises. Figures and tables are used extensively to illustrate key concepts and techniques.This new edition includes: New sections on quantile regression, statistical suppression, and random intercept panel models Support for the statistical program R and the R package lavaan in the text and on the website (www.tzkeith.com) New examples and exercises Updated instructor and student online resources (www.tzkeith.com)

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Book SynopsisThis book provides the first instructional guide to composite narrative research methods. Composite narratives are short vignettes that weave together quotes from multiple participants. The effect is to convey meaning to both academics and end-users, disseminating research findings succinctly and effectively. Readers interested in writing composite narratives will find a complete guide in this book.More and more researchers are using composite narratives to present their research findings, with support for the effectiveness of composite narratives as a research method growing. Inside this book, there is a rationale for why to use composite narratives and a complete guide for how to write them. Many examples from the author are provided, complete with audit trails that evidence how the composite narratives were written from the raw qualitative research data.Social science researchers at all career stages will be able to use this book to justify and construct composite n

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Book SynopsisThis book engages with the concept queer battle fatigue, which is the everyday exhaustion that LGBTQIA+ people and communities often experience from anti-queer norms and values. Contributors express how this concept is often experienced across spaces and places, from schools to communities.Queer Battle Fatigue is one way to express the everyday exhaustion that LGBTQIA+ people and communities often feel that is a result sociopolitical and cultural anti-queer norms and values. In this volume, contributors think about how queer battle fatigue hits bodies and their multiple ways of being, knowing, and doing. Chapters describe how such violence flows from early childhood experiences to universities and across community spaces. Contributors also describe how people and communities resist and refuse anti-queer norms and values, carving out pathways to live, love, and have joy despite everyday oppressions. From calling on Black queer ancestors, to using STEM education as a safTable of Contents1. Anti-Queerness as Educational Norms: Tracing the Contours of Queer Battle Fatigue 2. Trans Faculty & Queer Battle Fatigue: Poetic (Re)Presentations of Navigating Identity Politics in the Academy 3. Embracing Queer Heartache: Lessons from LGBTQ+ Intergenerational Dialogues 4. Queer Black Joy in the Face of Racial and Queer Battle Fatigue 5. STEM as a Cover: Towards a Framework for Queer Emotions, Battle Fatigue, and STEM Identity 6. Curricula of Oppressions: Queering Elementary School Norms and Values 7. Embodied failure: Resisting gender and sexuality erasures in K-12 schools 8. Illegible and Illiterate in Honduras: Research in a Transnational Setting as a Queer from the Global North

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