Social research and statistics Books

Book SynopsisThis annual publication, jointly produced by the African Development Bank (AfDB), the African Union Commission (AUC) and the United Nations Economic Commission for Africa (ECA), is a result of the fruitful collaboration that exists among the three pan-African organizations within the field of statistics. This synergistic collaboration has two principal benefits: (1) it minimizes the risk of inconsistent information being produced by the three organizations, and (2) it reduces the reporting burden on member states, who might otherwise be obliged to submit data separately to each institution. The yearbook continues to serve the intended purpose of bringing together, in one volume, data on African countries for policy-makers, researchers and other users. The present edition presents a time series showing how African countries performed on several economic and social indicators over the period 2011-2019

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Book SynopsisThe Yearbook series is a result of joint efforts by major African regional organizations to set up a joint data collection mechanism of socioeconomic data on African countries as well as the development of a common harmonized database. This Yearbook is meant to break with the practices of the past where each regional/subregional organization was publishing statistical data on African countries of the continent in an inefficient way, leading to duplication of efforts, inefficient use of scarce resources, increased burden on countries and sending different signals to users involved in tracking development efforts on the continent

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Book SynopsisThe National Accounts Studies of the ESCWA Region presents available data and ESCWA estimates of GDP at both current and constant prices, in addition to the consolidated national accounts for each ESCWA member country during a five years period, and the estimated real GDP growth for year of publication. Data is compiled from national statistical sources and by using questionnaires prepared by ESCWA. This publication is intended for economists, social researchers and planners. The publication is a reference for accurate, reliable data and statistical indicators from national sources covering entire Arab region and intended to the public and private sectors, experts and researchers in the field and regional and international organizations.

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Book SynopsisThis report provides an overview of the estimated and projected trends in mortality at the world level, for development groups and major areas; the analysis also focuses on country and regional data for selected mortality indicators. In addition to examining the summary indicator of life expectancy at birth, the report analyzes levels and trends in mortality for key age groups in childhood and provides a snapshot of adult and “old age” mortality levels. It examines the socio-economic determinants of child hood mortality at the aggregate level across countries, and on disparities within countries in 50 low-and middle-income countries based on Demographic and Health Surveys data

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Book SynopsisThe publication contains detailed official national accounts data for over 200 countries or areas of the World for the years 2001 to 2012. It is a valuable source of information on the state and structure of economies worldwide. The data for each country or area are presented in separate chapters with uniform table headings and classifications as recommended in the System of National Accounts 1993 (1993 SNA). Each country chapter also contains a write-up on the methodology and data sources which are used to compile the national accounts. A summary of the SNA conceptual framework, classifications, definitions, is also included in the publication. It contains statistics on gross domestic product by expenditure at current and constant prices and the relations among product, income, saving and net lending; value added by kind of activity at current and constant prices, and output, gross value added and fixed assets by industry; classification of consumption expenditure of general government, households, and non-profit institutions serving households according to purpose; production account through the financial account for the institutional sectors; and cross classification of gross value added by industry and institutional sector.

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Book SynopsisThis publication contains detailed tables showing international trade for 258 individual commodities (3-digit SITC groups) and eleven world trade tables covering trade values and indices up to the year 2013. The information contained is based on data provided by approximately 175 countries (areas), representing more than 90% of world trade of 2013. The publication is aimed at both specialist trade data users and common audience at large. The presented data, charts and analyses will benefit policy makers, government agencies, non-government organizations, civil society organizations, journalists, academics, researchers, students, businesses and anyone who is interested in trade issues. The information and analyses are presented in a way which can be comprehended by non-expert users of statistics.

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Book SynopsisAcquiring knowledge of the size and characteristics of a country's population on a timely basis is a prerequisite to socioeconomic planning and informed decision making. Vital statistics and their subsequent analysis and interpretation are essential for setting targets and evaluating social and economic plans, including the monitoring of health and population intervention programmes, and the measurement of important demographic indicators of levels of living or quality of life, such as the expectation of life at birth and the infant mortality rate. Vital statistics can be produced solely from a full-functioning civil registration system as the only source able to ensure universal coverage and provide timely and continuous data. This Handbook offers background, specifications and practical examples for the improvement and/or establishment of civil registration, vital statistics and identity management systems. It presents model organizational and legal arrangements, as well as ideal descriptions, processes and protocols that are considered the gold standard

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Book SynopsisThis publication is an annual compilation of key statistical indicators prepared by the United Nations Statistics Division of the Department of Economic and Social Affairs. The topics covered include: agriculture, balance of payments, education, energy, environment, food, gender, health, industrial production, information and communication, international finance, international tourism, international trade, labour, migration, national accounts, population and prices

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Book SynopsisThis publication comprises analytical tables of national accounting aggregates for more than 200 countries and areas, for 1970-2019. It contains estimation methods for compiling data. Tables include analysis of data on GDP by structural components, classified into: 1) analysis of level and real growth of total and per capita GDP; 2) analysis of percentage shares of GDP by type of expenditure and gross value by economic activity; 3) analysis of economic development expressed in terms of real growth of GDP and its components by type of value, and 4) analysis of price development reflected by implicit price deflators of GDP.

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Book SynopsisThe World Statistics Pocketbook is an annual compilation of key statistical indicators prepared by the United Nations Statistics Division of the Department of Economic and Social Affairs. The topics covered include: agriculture, balance of payments, education, energy, environment, food, gender, health, information and communication, international finance, international tourism, international trade, labour, migration, national accounts, population and prices

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Book SynopsisThe World Statistics Pocketbook is an annual compilation of key statistical indicators prepared by the United Nations Statistics Division of the Department of Economic and Social Affairs. The topics covered include: agriculture, balance of payments, education, energy, environment, food, gender, health, information and communication, international finance, international tourism, international trade, labour, migration, national accounts, population and prices

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Book SynopsisA country is export commodity-dependent (from now on 'commodity dependent') when its exports are heavily concentrated on primary commodities. The source of commodity dependence can be linked to different persistent or even structural conditions of a country such as its resource endowment and factor composition, institutionality, geographic situation, history and others. In this document, we follow past UNCTAD practice by considering UNCTAD member States to be commodity dependent if more than 60 per cent of its merchandise export value comes from commodities. It is important to monitor and analyze the evolution of commodity dependence, as the latter can have negative implications for a country's welfare and development. This document is divided into two parts. The first one is dedicated to identifying and characterizing commodity-dependent countries, as well as discussing the recent evolution of commodity prices, commodity export value and the net asset position of these countries. The second part is dedicated to country-specific commodity dependence profiles that also include important economic and social statistics

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Book SynopsisResilience is often associated with multivalued and multi-faceted strategies, programs, and projects. After approximately 15 years of empirical evidence in the literature, few research questions remain unexplored and unanswered, especially with the recent occurrence of a global pandemic. In this paper, we are assessing whether there are few and consistently relevant elements that determine resilience capacity as well as investigating which shocks are most dramatically reducing resilience. We also investigate which coping strategies are most frequently adopted in the presence of shocks. Our results show that diversification of income sources, education, access to land, livestock, and agricultural inputs, are the main drivers of households' resilience capacity. Moreover, the most prevailing shocks are found to be natural, health and livelihood-related shocks. In addition to this, we show that reducing the quantity and quality of food consumed, seeking an extra job, selling assets, taking credit, relying on relatives and social networks are the most adopted coping strategies. Finally, we found that coping strategies are able to mitigate the adverse effects of shocks on resilience capacity; however, they are not sufficient to offset their long-term negative consequences. Our conclusion is that adequate investments in resilience are conditional to a) engaging with activities that are broadly consistent across countries and b) fine-tuning the interventions based on context-specificity

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Book SynopsisThe book begins with - Introduction, which deals with the concept of research methodology. Second includes details on collection of data, followed by sampling techniques. four enumerates sample size calculation. Basic concept of probability is provided in five, whereas, in six hypothesis formulation is discussed in detail. seven will give an insight on how to write a research proposal/ project with an example. In eight writing a scientific research paper, how to write a review paper, methods of presenting research outcome using oral presentation, poster presentation and ethics in research are discussed. At the end of this , some of the words which are commonly misused are pointed out. nine is all about the methods deal in data presentation using table, graph, figure etc. A is also devoted to selected bibliography, which may be helpful for further reading. The book is written considering the requirements of the students offering research methodology at under and postgraduate levels. This book will be attractive to researchers needing familiarity with research methods. The methods described in this book are made user's friendly so that even general readers will find this book useful.Table of Contents01 Research Methodology, 02 Collection of Data, 03 Sampling Techniques, 04 Sample Size Calculation, 05 Concept of Probability, 06 Hypothesis Formulation, 07 How to Write A Research Proposal, 08 Scientific Communication, 09 Presentation of Data

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Book SynopsisRecent years in North America have seen a rapid development in the area of crime analysis and mapping using Geographic Information Systems (GIS) technology. In 1996, the US National Institute of Justice (NIJ) established the crime mapping research center (CMRC), to promote research, evaluation, development, and dissemination of GIS technology. The long-term goal is to develop a fully functional Crime Analysis System (CAS) with standardized data collection and reporting mechanisms, tools for spatial and temporal analysis, visualization of data and much more. Among the drawbacks of current crime analysis systems is their lack of tools for spatial analysis. For this reason, spatial analysts should research which current analysis techniques (or variations of such techniques) that have been already successfully applied to other areas (e.g., epidemiology, location-allocation analysis, etc.) can also be employed to the spatial analysis of crime data. This book presents a few of those cases.Table of ContentsFrom the Contents: Spatial Heterogeneity in Crime Analysis.- When Does a Drug Market Become a Drug Market? Finding the Boundaries of Illicit Event Concentrations.- Convicted Sex Offender Residential Movements.- Street-Level Spatiotemporal Crime Analysis: Examples from Bronx County, NY (2006–2010).- Exploring Spatial Patterns of Crime Using Non-Hierarchical Cluster Analysis.- Reconstitution of the Journeys to Crime and Location of their Origin in the Context of a Crime Series. A Raster Solution for a Real Case Study.- Journey-to-Crime by Gender and Age Group in Manchester, England.- Crime Scene Locations in Criminal Homicides: A Spatial Crime Analysis in a GIS Environment.

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Book SynopsisSocial inclusion is a key outcome measure for health intervention and social services initiatives. However, there is currently no universal global measure of social inclusion with proven validity and reliability. This prevents accurate cross-cultural comparisons of the impact of social services and policy changes.To fill this void, the authors describe the theory and development of the Social and Community Opportunities Prole (SCOPE) developed in the United Kingdom as a measure of social inclusion. The SCOPE has since been translated and applied in Hong Kong, Poland, and Brazil with proven success in providing empirical evidence of social inclusion among the general public, persons with mental health issues, and immigrants. The first of its kind, this book presents and compares these studies, moving forward social inclusion research and encouraging adoption in academia and by social service providers. The conclusions will also enlighten policy makers at national, regional, and local levels responsible for designing strategies to improve the well-being of disadvantaged groups in society.Social Inclusion: Theoretical Development and Cross-cultural Measurements is the second book in the Mediated Health Series, which focuses on the effects of media, lifestyle, doctor-patient communication, and the economy on health and aims to help inform medical decisions and enhance the well-being of individuals.Table of Contents Part I Social Inclusion Tools and Standards 1. Introducing the Social Inclusion Concept 2. Early Concept Mapping in the United Kingdom and the Need for a New Measure of Social Inclusion 3. The Gold Standard: Development of the Long and Short Social and Community Opportunities Profile (SCOPE) in the United Kingdom Part II Applications in Asia 4. Understanding Social Inclusion among Hong Kong People through Concept Mapping 5. Applying SCOPE-C to Measure Social Inclusion among Users of Mental Health Services in Hong Kong 6. Measuring Social Inclusion among Immigrants in Hong Kong and the United Kingdom 7. Understanding Social Inclusion among Singaporean Citizens through Concept Mapping Part III Applications Outside of Asia 8. Applying SCOPE-P to Measure Social Inclusion among Users of Mental Health Services in Poland 9. The Digital Divide and Social Inclusion among Users of Mental Health Services in Poland 10. Applying SCOPE-B to Measure Social Inclusion among Users of Mental Health Services in Brazil Part IV What These Studies Tell Us About Social Inclusion 11. Factors that Affect Social Inclusion: A Four-country Comparison 12. Conclusion and Future Perspectives

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Book SynopsisThis book applies Rasch measurement theory to the fields of education, psychology, sociology, marketing and health outcomes in order to measure various social constructs. The chief focus is on first principles of both the theory and its applications. Because software is readily available to carry out analyses of real data, numerous small examples are provided in the book. The software used in these examples, and which is helpful in working through the text, is RUMM2030 (Rasch unidimensional models for measurement).The book’s main goals are to equip researchers with the confidence they need in order to be in control of the analysis and interpretation of data, and to make professional rather than primarily statistical decisions mechanically. Because statistical principles are necessarily involved, reviews of the requisite statistics are provided in the Appendix.The content is based on courses that have been taught both online and in intensive form for over two decades. Although first principles are emphasised, much of the book is based on research conducted by the two authors and their colleagues.Table of ContentsPART A: General principles and the dichotomous Rasch model.- Chapter 1: The idea of measurement.- Chapter 2: Constructing instruments to achieve measurement.- Chapter 3: Classical test theory (CTT).- Chapter 4: Reliability and validity in CTT.- Chapter 5: The Guttman structure and analysis of responses.- Chapter 6: The dichotomous Rasch model - The simplest modern test theory model.- Chapter 7: Invariance of comparisons - Separation of person and item parameters.- Chapter 8: Sufficiency - The significance of total scores.- Chapter 9: Estimating item difficulty.- Chapter 10: Estimating person proficiency and person separation.- Chapter 11: Equating - Linking instruments through common items.- Chapter 12: Comparisons and contrasts between CTT and Rasch measurement theory (RMT).- PART B: The dichotomous Rasch model: Fit of responses to the model.- Chapter 13: Fit of responses to the model I - Item characteristic curve and Chi-square tests of fit.- Chapter 14: Violations of the assumption of independence I - Multidimensionality and response dependence.- Chapter 15: Fit of responses to the model II - Analysis of residuals and general principles.- Chapter 16: Fit of responses to the model III - Differential item functioning.- Chapter 17: Fit of responses to the model IV - Guessing.- Chapter 18: Other models of modern test theory for dichotomous responses.- Chapter 19: Comparisons and contrasts between item response theory (IRT) and RMT.- PART C: Extending the dichotomous Rasch model: The polytomous Rasch model.- Chapter 20: The polytomous Rasch model I.- Chapter 21: The polytomous Rasch model II.- Chapter 21: The polytomous Rasch model II.- Chapter 21: The polytomous Rasch model II.- Chapter 24: Violations of the assumption of independence II – The polytomous Rasch model.- Part D: Theoretical justifications and further elaborations.- Chapter 25: Derivation of CTT equations and coefficient α.- Chapter 26: Analysis of more than two facets and repeated measures.- Chapter 27: Derivation of the threshold form of the polytomous Rasch model.- Chapter 28: Non-Rasch measurement models for ordered response categories.- Chapter 29: Review of principles of test analysis using Rasch measurement theory.- Part E: RUMM2030 Exercises.- Exercise 1: Interpretation of RUMM2030 printout.- Exercise 2: Basic analysis of dichotomous and polytomous responses.- Exercise 3: Advanced analysis of dichotomous responses.- Exercise 4: Advanced analysis of polytomous responses.- Exercise 5: Analysis of data with differential item functioning.- Exercise 6: Analysis of data with dependence.- Exercise 7: Analysis of more than two facets and repeated measurements.- Exercise 8: Writing up a Rasch model analysis.- Part F: Statistics Reviews.- Statistics Review 1: Sigma notation, mean, and variance.- Statistics Review 2: Normal distribution.- Statistics Review 3: Covariance and the variance of the sum of two variables.- Statistics Review 4: Regression and correlation.- Statistics Review 5: Probability.- Statistics Review 6: Indices.- Statistics Review 7: Logarithms.- Statistics Review 8: Conditional probability.- Statistics Review 9: Independence.- Statistics Review 10: Bernoulli and Binomial variables.- Statistics Review 11: The Chi-square distribution and test.- Statistics Review 12: Analysis of variance (ANOVA).- Statistics Review 13: Distribution theory.- Statistics Review 14: Basic distributions for tests of fit.- Statistics Review 15: Odds and ratios.

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Book SynopsisThis book addresses sample size and power in the context of research, offering valuable insights for graduate and doctoral students as well as researchers in any discipline where data is generated to investigate research questions. It explains how to enhance the authenticity of research by estimating the sample size and reporting the power of the tests used. Further, it discusses the issue of sample size determination in survey studies as well as in hypothesis testing experiments so that readers can grasp the concept of statistical errors, minimum detectable difference, effect size, one-tail and two-tail tests and the power of the test. The book also highlights the importance of fixing these boundary conditions in enhancing the authenticity of research findings and improving the chances of research papers being accepted by respected journals. Further, it explores the significance of sample size by showing the power achieved in selected doctoral studies. Procedure has been discussed to fix power in the hypothesis testing experiment. One should usually have power at least 0.8 in the study because having power less than this will have the issue of practical significance of findings. If the power in any study is less than 0.5 then it would be better to test the hypothesis by tossing a coin instead of organizing the experiment. It also discusses determining sample size and power using the freeware G*Power software, based on twenty-one examples using different analyses, like t-test, parametric and non-parametric correlations, multivariate regression, logistic regression, independent and repeated measures ANOVA, mixed design, MANOVA and chi-square.Table of ContentsPreface Acknowledgements 1 Introduction to Sample Size Determination Introduction Issue of Power due to inappropriate sample size Some case studies Flow Diagram of Determining sample size and power Summary 2 Understanding Statistical Inference Introduction Estimating Parameters Estimating Population Mean Confidence Coefficient Confidence Interval Factors Affecting Confidence Interval Estimating Population Proportion Hypothesis Testing Type I and Type II Errors Power of the Test Relationship between Type I and Type II Errors One Tailed and Two Tailed Tests Procedure in Hypothesis Testing Experiment Effect Size Summary 3 Understanding Concepts in Estimating Sample Size in Survey Studies Introduction Determining Sample Size in Estimating Population Mean Factors Affecting Sample Size Sample Size Determination for Estimating Mean when Population SD Known: Illustration 3.1 Sample Size Determination for Estimating Mean when Population SD Unknown: Illustration 3.2 Sample Size Determination for Estimating Mean when Population SD Unknown: Illustration 3.3 Sample Size Determination for Estimating Mean when Population SD Unknown: Illustration 3.4 Determining Sample Size in Estimating Population Proportion Sample Size Determination for Estimating Proportion: Illustration 3.5 Sample Size Determination for Estimating Proportion: Illustration 3.6 Sample Size Determination for Estimating Proportion: Illustration 3.7 Sample Size Determination for Estimating Proportion: Illustration 3.8 Determining Sample Size in Estimating Difference Between Two Population Means Summary 4 Understanding Concepts in Estimating Sample Size in Hypothesis Testing Experiment Introduction Sample Size on the Basis of Power One Sample Testing of Mean Determining Sample Size Estimation of Minimum Sample Size to Test H0 : µ=37 : Illustration 4.1 Minimum Detectable Difference Estimation of Minimum Detectable Difference for Testing H0: µ=37: Illustration 4.2 Estimation of Power in One Sample t Test Estimation of Power in Testing H0: µ=37: Illustration 4.3 Testing Difference Between Two Means Determining Sample Size in Two Sample t Test Estimation of Sample Size for Two Sample t Test for Mean : Illustration 4.4 Estimation of Power in Two Sample t Test Estimation of Power in Two Sample t Test for Mean : Illustration 4.5 Summary 5 Use of G*Power Software Introduction Procedure of Installing G*Power 3.1 Summary 6 Determining Sample Size in Experimental Studies Introduction One Sample Testing Testing Difference of Sample Mean from Population Mean Sample Size and Power Determination: Illustration 6.1 Testing Difference of Sample Proportion from Population Proportion Sample Size Determination: Illustration 6.2 Two Sample Testing Comparing Group Means in Two Independent Samples Sample Size and Power Determination: Illustration 6.3 Comparing Paired Group Means Sample Size Determination: Illustration 6.4 Comparing two Group Means Using Mann Whitney Test Sample Size Determination: Illustration 6.5 Comparing Paired Group Means Using Wilcoxon Signed Rank Test Sample Size Determination: Illustration 6.6 Comparing Two Proportions Sample Size Determination: Illustration 6.7 Correlation Coefficient: Testing Significance Case I: Testing Whether Sample Correlation Differs From 0 Sample Size Determination: Illustration 6.14 Case II: Testing Whether Sample Correlation Differs from a Known Value Sample Size Determination: Illustration 6.15 Correlation Coefficients: Testing Significant Difference Between Two Independent Correlations Sample Size Determination: Illustration 6.16 Bi-Serial Correlation: Testing Significance Sample Size Determination: Illustration 6.17 Goodness of Fit: Testing With Chi-Square Sample Size Determination in Goodness of Fit: Illustration 6.18 Linear Multiple Regression Model Sample Size Determination in Linear Multiple Regression: Illustration 6.19 Logistic Regression Sample Size Determination for Continuous Predictors: Illustration 6.20 Sample Size Determination for a Dichotomous Predictor: Illustration 6.21 Summary 7 Determining Sample Size in General Linear Models Introduction Analysis of Variance One–Way Analysis of Variance Sample Size Determination: Illustration 6.8 Two–Way Analysis of Variance Sample Size Determination for Main and Interaction Effect: Illustration 6.9 Repeated Measures ANOVA Between Factors Sample Size Determination: Illustration 6.10 Repeated Measures ANOVA Within Factors Sample Size Determination: Illustration 6.11 Repeated ANOVA Within-Between Interaction Manova Experiment: for Testing the Significance of Global Effect Sample Size Determination: Illustration 6.12 Manova Experiment: Testing Significance of Interaction Effect Sample Size Determination: Illustration 6.13 Summary Appendix Bibliography

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Book SynopsisThis book offers new ideas for thinking about how more equitable outcomes might be achieved in New Zealand so that all students are well-equipped to live and work in contemporary society. It addresses a social justice concern about access to the unique affordances of subject knowledge which comprises two forms of knowledge - propositional (knowledge-that) and applied knowledge (know-how-to).The book provides perspectives on curriculum design by grounding arguments in a theory of knowledge. It describes the different knowledge forms of the theory, and argues that understanding these differences is significant for curriculum design and enactment. It explains why the current imbalance between knowledge forms is a problem, and offers suggestions for change. Understanding about knowledge itself enables more just and equitable outcomes for all students. This book illustrates how different knowledge types and forms can be used together productively to help students develop adaptive expertise for the 21st century, making it a valuable contribution to the field of education. Trade Review“The book will prove valuable for several groups of readers. It provides postgraduate students and academics alike with a useful introduction to core concepts in social realism, as applied to the New Zealand educational context. … The book also provides an accessible read for teacher-curriculum developers seeking to understand the curriculum development process and experiment with using the CDC model to improve the coherence of their curricula.” (Liyun Wendy Choo, New Zealand Journal of Educational Studies, Vol. 58 (1), 2023)Table of Contents1 Introduction.- 2 The components of a national curriculum.- 3 Three models of teaching: A framework for thinking about education.- 4 Knowledge: What teachers need to know.- 5 Knowledge marginalisation in curriculum and practice.- 6 Knowledge and the 'Identity Directive'.- 7 The TAP/CDC combination for bi/multilingual students: Illustrating the relationship between knowledge-that and knowledge-how.- 8 A curriculum for 21st century learners.

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Book SynopsisThis book provides a highly practical introduction to Bayesian statistical modeling with Stan, which has become the most popular probabilistic programming language.The book is divided into four parts. The first part reviews the theoretical background of modeling and Bayesian inference and presents a modeling workflow that makes modeling more engineering than art. The second part discusses the use of Stan, CmdStanR, and CmdStanPy from the very beginning to basic regression analyses. The third part then introduces a number of probability distributions, nonlinear models, and hierarchical (multilevel) models, which are essential to mastering statistical modeling. It also describes a wide range of frequently used modeling techniques, such as censoring, outliers, missing data, speed-up, and parameter constraints, and discusses how to lead convergence of MCMC. Lastly, the fourth part examines advanced topics for real-world data: longitudinal data analysis, state space models, spatial data analysis, Gaussian processes, Bayesian optimization, dimensionality reduction, model selection, and information criteria, demonstrating that Stan can solve any one of these problems in as little as 30 lines.Using numerous easy-to-understand examples, the book explains key concepts, which continue to be useful when using future versions of Stan and when using other statistical modeling tools. The examples do not require domain knowledge and can be generalized to many fields. The book presents full explanations of code and math formulas, enabling readers to extend models for their own problems. All the code and data are on GitHub.Table of ContentsPrefacePart I: Introduction Chapter 1: Overview of Statistical Modeling and StanChapter 2: Review of Bayesian InferenceChapter 3: Before Starting Statistical ModelingPart II: Introduction of StanChapter 4: Start with Stan, RStan and PyStanChapter 5: Elementary Regression and Model CheckPart III: Essential Components and Techniques for ExpertsChapter 6: Introduction of Distributions from Modeling ViewpointsChapter 7: Issues of RegressionChapter 8: Nonlinear ModelChapter 9: Hierarchical ModelChapter 10: Advanced GrammarsChapter 11: How to Lead ConvergenceChapter 12: Discrete ParametersChapter 13: Usage of MCMC SamplesPart IV: Advanced Topics for Real-world DataChapter 14: Longitudinal Data Analysis with State Space Model Chapter 15: Spatial Data Analysis with Markov Field ModelChapter 16: Survival AnalysisChapter 17: Causal InferenceChapter 18: Model selectionAppendix: Differences between Stan and BUGSReferenceIndex

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Book SynopsisPreface.- Foreword.- 1 Modeling the structure of social phenomena.- 2 Discrete latent variable models.- 3 High-dimensional data analysis.- 4 Approaches to analysis with missing data.- 5 Longitudinal data analysis.- 6 Attitudinal data analysis.- 7 Time series and cross-national comparisons of occupational segregation.- 8 Visualization of social mechanisms.- 9 Statistical approaches to the characteristics of the occupational structure.

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Book Synopsis1. Einführung.- 2. schlanke, grüne und saubere Qualitätskonzepte.- 3. schlanke, grüne und saubere Wissenschaften und Technologien.- 4. Modelle für schlanke, grüne und saubere Qualitätsverbesserung.- 5. Modelle zur Bewertung schlanker, grüner und sauberer Qualität.- 6. Grüne Statistik: Essenz schlanker, grüner und sauberer Wissenschaften.- 7. Erreichen und Fördern von schlanken, grünen und sauberen Qualitätszielen.- 8. Kontrolle, Überwachung und Einsatz von schlanken, grünen und sauberen Aktivitäten.- 9. Schlank, grün und sauber: Einige Fallstudien.- 10. Auf dem Weg zu einer nachhaltigen Lebensqualität.

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Book SynopsisAs an anthropologist and native of Gao Village, the author combines ethnographic analysis, personal vignettes, and a number of fascinating stories to present a convincing yet complex picture of how Gao villagers interact with the outside world twenty years after the publication of his original ethnography of Gao Village. With his sympathetic and insider’s approach, the author argues that rural Chinese display great entrepreneurship and inner strength of self-improvement; they are active contributors to China’s economic boom.Trade Review“This sequel to Gao’s earlier work about his home village in Jiangxi Province is an engaging and digestible short course on contemporary China’s rural economy. The anecdotes from observation and personal knowledge of the lives of Gao villagers reflect Gao’s critical, often wry perspective; some of the best chapters are those that profile the lives of Gao villagers’ entrepreneurial vicissitudes in a relatively unregulated market environment.” – Ann Hill, Dickinson College

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Book SynopsisThe purpose of the book is to provide a description and explanation of various qualitative methods and mechanisms of analysis with case study examples. The book will introduce theory, methods, and techniques and can serve as a "field guide" for practice. Though there are many books which describe qualitative research, this book is designed from its inception as a guide to inquiry with individuals from and groups and communities which are underrepresented, marginalized and/or socially disadvantaged. With this purpose, the book focuses on the meaningfulness of qualitative approaches framed by a commitment to social justice and considers qualitative research with the imperative of involving voiceless, marginalized, unrepresented, or devalued populations.We anticipate the book will be useful for teachers of qualitative research and evaluation, practitioners, dissertation students considering qualitative methods and as a ready reference (i.e., a field guide). The authors/editors believe this book will expand national conversations about social justice, address voids in the literature and gaps in public policy informed by social justice and inform the general body of knowledge concerning qualitative research.

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Book SynopsisThe purpose of the book is to provide a description and explanation of various qualitative methods and mechanisms of analysis with case study examples. The book will introduce theory, methods, and techniques and can serve as a "field guide" for practice. Though there are many books which describe qualitative research, this book is designed from its inception as a guide to inquiry with individuals from and groups and communities which are underrepresented, marginalized and/or socially disadvantaged. With this purpose, the book focuses on the meaningfulness of qualitative approaches framed by a commitment to social justice and considers qualitative research with the imperative of involving voiceless, marginalized, unrepresented, or devalued populations.We anticipate the book will be useful for teachers of qualitative research and evaluation, practitioners, dissertation students considering qualitative methods and as a ready reference (i.e., a field guide). The authors/editors believe this book will expand national conversations about social justice, address voids in the literature and gaps in public policy informed by social justice and inform the general body of knowledge concerning qualitative research.

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Book SynopsisVolume 1 of Theater(s) and Public Sphere in a Global and Digital Society explores the fundamental contribution that artistic and cultural forms bring to social dynamics and how these can consolidate cohabitation and create meaningfulness, in addition to fulfilling economic and regulatory needs. As symbolic forms of collective social practices, artistic and cultural forms weave together the meaning of territories, contexts, and peoples, and also of the generations who traverse them. These forms of meaning interact with the social imaginary, mediate marginalization, transform barriers into bridges, and are indispensable tools for any social coexistence and its continuous rethinking in everyday life. The various epistemic approaches present here refer to sociology, theatre studies, cultural studies, psychology, economy of culture, and social statistics which observe theatre as a social phenomenon. Contributors are: Maria Shevstova, Ilaria Riccioni, Roberta Paltrinieri, Gerhard Glüher, Raimondo Guarino, Mariselda Tessarolo, Raffaele Federici, Marco Serino, Maria Grazia Turri, Elena Olesina, Elena Polyudova, Marisol Facuse, Vincenzo Del Gaudio, Laura Gemini, Stefano Brilli, Jessica Camargo Molano, Annalisa Cicerchia, Simona Staffieri and Giulia Cavrini.Table of ContentsPrefaceAcknowledgementsList of Figures and TablesNotes on Contributors1 Artistic Processes and Characteristics: Key Problems of the Sociology of the Theatre In Dialogue with Pierre Bourdieu  Maria Shevtsova2 The Social and Political Impact of the Theatre in Contemporary Society  Ilaria Riccioni3 Theatre at University as a Way to Increase the Sense of Citizenship and Civil Spirit  Roberta Paltrinieri4 Staged Passages between Art and Everyday Life  Gerhard Glüher5 Urban Environment, Places for Performance A Groundbreaking Experience: Renato Nicolini and Estate Romana (1976–1985)  Raimondo Guarino6 The Theatre as the Stage of an Elusive Further Society  Mariselda Tessarolo7 Paris and Popular Theatre in Robert Michels La foule and the Audience in the Years of Classical Sociology  Raffaele Federici8 The Undone Discipline A Historical and Critical-Theoretical Account of the Sociology of the Theatre  Marco Serino9 Theatre as Intersubjective Space for the Mediation of Collective Identity Outline of a Psychoanalytic Perspective  Maria Grazia Turri10 Historical Reenactment and Theatrical Performance On New Perspectives of Educational Methods  Elena Olesina and Elena Polyudova11 Political Theatre in the 20th Century Elements for Archaeology  Marisol Facuse12 Blast Theory between Public Space and Social Space  Vincenzo Del Gaudio13 Live/Life Sharing The Use of Social Media by Contemporary Theatre Companies in Italy  Laura Gemini and Stefano Brilli14 Theatre as a Means of “Interpreting” Lockdown The Case of Staged  Jessica Camargo Molano15 Cultural Welfare Theatre in the Limelight  Annalisa Cicerchia and Simona Staffieri16 Measuring Culture – How and Why?  Giulia CavriniIndex

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