Description

Book Synopsis

An approachable, coherent, and important text,Research in Psychology: Methods and Design, 8thEditioncontinues to provide its readers with a clear, concise look at psychological science, experimental methods, and correlational research in this newly updated version. Helpful learning aids, step-by-step instructions, and detailed examples of real research studies makes the material easy to read and student-friendly.



Table of Contents

Summary of Research Examples

Preface

1 Scientific Thinking in Psychology

Why Take This Course?

Ways of Knowing

Authority

Use of Reason

Empiricism

The Ways of Knowing and Science

Science as a Way of Knowing

Science Assumes Determinism

Science Makes Systematic Observations

Science Produces Public Knowledge

Box 1.1: ORIGINS—A Taste of Introspection

Science Produces Data]Based Conclusions

Science Produces Tentative Conclusions

Science Asks Answerable Questions

Science Develops Theories That Can Be Falsified

Psychological Science and Pseudoscience

Recognizing Pseudoscience

Associates with True Science

Box 1.2: CLASSIC STUDIES—Falsifying Phrenology

Relies on Anecdotal Evidence

Sidesteps the Falsification Requirement

Reduce Complex Phenomena to Overly Simplistic Concepts

The Goals of Research in Psychology

Describe

Predict

Explain

Apply

A Passion for Research in Psychology

Eleanor Gibson (1910–2002)

B. F. Skinner (1904–1990)

2 Ethics in Psychological Research

Box 2.1: CLASSIC STUDIES—Infants at Risk

Developing a Code of Ethics for Psychological Science

Ethical Guidelines for Research with Humans

Weighing Benefits and Costs: The Role of the IRB

Informed Consent and Deception in Research

Box 2.2: ETHICS—Historical Problems with Informed Consent

Informed Consent and Special Populations

Use of Deception

Treating Participants Well

Research Ethics and the Internet

Ethical Guidelines for Research with Animals

Animal Rights

Box 2.3: ORIGINS—Antivivisection and the APA

Using Animals in Psychological Research

The APA Code for Animal Research

Justifying the Study

Caring for the Animals

Using Animals for Educational Purposes

Scientific Fraud

Data Falsification

3 Developing Ideas for Research in Psychology

Varieties of Psychological Research

The Goals: Basic versus Applied Research

The Setting: Laboratory versus Field Research

Research Example 1—Combining Laboratory and Field Studies

The Data: Quantitative versus Qualitative Research

Asking Empirical Questions

Operational Definitions

Developing Research from Observations of Behavior and Serendipity

Box 3.1: ORIGINS—Serendipity and Edge Detectors

Developing Research from Theory

The Nature of Theory

The Relationship between Theory and Research

Attributes of Good Theories

Falsification

Box 3.2: CLASSIC STUDIES—Falsification and Der Kluge Hans

Parsimony

Common Misunderstandings about Theory

Developing Research from Other Research

Research Teams and the “What’s Next?” Question

Research Example 2 – “What’s Next?”

Replication

Box 3.3: ETHICS—Questionable Research Practices and Replication Remedies

Creative Thinking in Science

Reviewing the Literature

Computerized Database Searches

Search Tips

Search Results

4 Sampling, Measurement, and Hypothesis Testing

Who to Measure—Sampling Procedures

Probability Sampling

Random Sampling

Stratified Sampling

Cluster Sampling

Nonprobability Sampling

What to Measure—Varieties of Behavior

Developing Measures from Constructs

Research Example 3—Testing Constructs Using Habituation

Research Example 4—Testing Constructs Using Reaction Time

Box 4.1: ORIGINS—Reaction Time: From Mental Chronometry to Mental Rotation

Evaluating Measures

Reliability

Validity

Research Example 5—Construct Validity

Reliability and Validity

Scales of Measurement

Nominal Scales

Ordinal Scales

Interval Scales

Box 4.2: CLASSIC STUDIES—Measuring Somatotypes on an Interval Scale: Hoping for 4-4-4

Ratio Scales

Statistical Analysis

Descriptive and Inferential Statistics

Descriptive Statistics

Box 4.3: ETHICS—Statistics that Mislead

Inferential Statistics

Null Hypothesis Significance Testing

Type I and Type II Errors

Interpreting Failures to Reject H0

Beyond Null Hypothesis Significance Testing

Effect Size

Confidence Intervals

Power

5 Introduction to Experimental Research

Essential Features of Experimental Research

Box 5.1: ORIGINS—John Stuart Mill and the Rules of Inductive Logic

Establishing Independent Variables

Varieties of Manipulated Independent Variables

Control Groups

Research Example 6—Experimental and Control Groups

Controlling Extraneous Variables

Measuring Dependent Variables

Subject Variables

Research Example 7—Using Subject Variables

Drawing Conclusions When Using Subject Variables

Box 5.2: CLASSIC STUDIES—Bobo Dolls and Aggression

The Validity of Experimental Research

Statistical Conclusion Validity

Construct Validity

External Validity

Other Populations

Box 5.3: ETHICS—Recruiting Participants: Everyone’s in the Pool

Other Environments

Other Times

A Note of Caution about External Validity

Internal Validity

Threats to Internal Validity

Studies Extending Over Time

History and Maturation

Regression to the Mean

Testing and Instrumentation

Participant Problems

Subject Selection Effects

Attrition

A Final Note on Internal Validity, Confounding, and External Validity

6 Methodological Control in Experimental Research

Between]Subjects Designs

Creating Equivalent Groups

Random Assignment

Matching

Within]Subjects Designs

Controlling Order Effects

Testing Once per Condition

Complete Counterbalancing

Partial Counterbalancing

Testing More than Once per Condition

Reverse Counterbalancing

Block Randomization

Research Example 8—Counterbalancing with Block Randomization

Methodological Control in Developmental Research

Box 6.1: CLASSIC STUDIES—The Record for Repeated Measures

Controlling for the Effects of Bias

Experimenter Bias

Controlling for Experimenter Bias

Research Example 9—Using a Double Blind Procedure

Participant Bias

Box 6.2: ORIGINS—Productivity at Western Electric

Research Example 10—Demand Characteristics

Controlling for Participant Bias

Box 6.3: ETHICS—Research Participants Have Responsibilities Too

7 Experimental Design I: Single]Factor Designs

Single Factor—Two Levels

Between]Subjects, Single]Factor Designs

Research Example 11—Two-Level Independent Groups Design

Research Example 12— Two-Level Matched Groups Design

Research Example 13— Two-Level Ex Post Facto Design

Within]Subjects, Single]Factor Designs

Box 7.1: CLASSIC STUDIES—Psychology’s Most Widely Replicated Finding?

Research Example 14—Two-Level Repeated Measures Design

Single Factor—More Than Two Levels

Between]Subjects, Multilevel Designs

Research Example 15—Multilevel Independent Groups Design

Within]Subjects, Multilevel Designs

Research Example 16—Multilevel Repeated Measures Design

Analyzing Data from Single]Factor Designs

Presenting the Data

Types of Graphs

Box 7.2: ORIGINS—The Ebbinghaus Forgetting Curve

Analyzing the Data

Statistics for Single-Factor, Two-Level Designs

Statistics for Single-Factor, Two-Level Designs

Special]Purpose Control Group Designs

Placebo Control Group Designs

Wait List Control Group Designs

Box 7.3: ETHICS—Who’s in the Control Group?

Research Example 17—Using Both Placebo and Wait List Control Groups

Yoked Control Group Designs

Research Example 18—A Yoked Control Group

8 Experimental Design II: Factorial Designs

Essentials of Factorial Designs

Identifying Factorial Designs

Outcomes—Main Effects and Interactions

Main Effects

Research Example 19—Main Effects

Interactions

Research Example 20—An Interaction with No Main Effects

Interactions Sometimes Trump Main Effects

Combinations of Main Effects and Interactions

Creating Graphs for the Results of Factorial Designs

Box 8.1: CLASSIC STUDIES—To Sleep, Perchance to Recall

Varieties of Factorial Designs

Mixed Factorial Designs

Research Example 21—A Mixed Factorial with Counterbalancing

Research Example 22—A Mixed Factorial without Counterbalancing

Factorials with Subject and Manipulated Variables: P × E Designs

Research Example 23—A Factorial Design with a P × E Interaction

Research Example 24—A Mixed P × E Factorial with Two Main Effects

Recruiting Participants for Factorial Designs

Box 8.2: ETHICS—On Being a Competent and Ethical Researcher

Analyzing Data from Factorial Designs

Box 8.3: ORIGINS—Factorials Down on the Farm

9 Non]Experimental Design I: Survey Methods

Survey Research

Box 9.1: ORIGINS—Creating the “Questionary”

Sampling Issues in Survey Research

Surveys versus Psychological Assessment

Creating an Effective Survey

Types of Survey Questions or Statements

Assessing Memory and Knowledge

Adding Demographic Information

A Key Problem: Survey Wording

Collecting Survey Data

In-Person Interviews

Mailed Written Surveys

Phone Surveys

Online Surveys

Ethical Considerations

Box 9.2: ETHICS—Using and Abusing Surveys

Research Example 25—A Survey of College Students’ Study Strategies

Analyzing Data from Non]Experimental Methods

Correlation: Describing Relationships

Scatterplots

Correlation Coefficients

Coefficient of Determination

Be Aware of Outliers

Regression: Making Predictions

Research Example 26 – Regression and Multiple Regression

Interpreting Correlational Results

Directionality

Research Example 27—Correlations and Directionality

Third Variables

Combining Non]Experimental and Experimental Methods

Research Example 28—Combining Methods

10 Non]Experimental Design II: Observational and Archival Methods

Observational Research

Varieties of Observational Research

Naturalistic Observation

Participant Observation

Box 10.1: CLASSIC STUDIES—When Prophecy Fails

Challenges Facing Observational Methods

Absence of Control

Observer Bias

Participant Reactivity

Ethics

Box 10.2: ETHICS—A Matter of Privacy

Research Example 29—A Naturalistic Observation

Research Example 30—A Covert Participant Observation

Analyzing Qualitative Data from Non]Experimental Designs

Archival Research

Archival Data

Research Example 31—A Non-Experimental Design

Using Archival Data

Analyzing Archival Data

Meta]Analysis—A Special Case of Archival Research

Research Example 32—Meta-analysis and Psychology’s First Registered Replication Report (RRR)

11 Quasi]Experimental Designs and Applied Research

Beyond the Laboratory

Research Example 33—Applied Research

Applied Psychology in Historical Context

Box 11.1: CLASSIC STUDIES—The Hollingworth’s, Applied Psychology, and Coca-Cola

Design Problems in Applied Research

Quasi]Experimental Designs

Nonequivalent Control Group Designs

Outcomes

Regression to the Mean and Matching

Research Example 34—A Nonequivalent Control Group Design

Research Example 35—A Nonequivalent Control Group Design Without Pretests

Interrupted Time Series Designs

Outcomes

Research Example 36—An Interrupted Time Series Design

Variations on the Basic Time Series Design

Program Evaluation

Box 11.2: ORIGINS—Reforms as Experiments

Planning for Programs—Needs Analysis

Research Example 37—Assessing Need in Program Evaluation

Monitoring Programs—Formative Evaluation

Evaluating Outcomes—Summative Evaluation

Weighing Costs—Cost]Effectiveness Analysis

A Note on Qualitative Data Analysis

Box 11.3: ETHICS—Evaluation Research and Ethics

12 Small N Designs

Research in Psychology Began with Small N

Box 12.1: ORIGINS—Cats in Puzzle Boxes

Reasons for Small N Designs

Occasional Misleading Results from Statistical Summaries of Grouped Data

Practical and Philosophical Problems with Large N Designs

The Experimental Analysis of Behavior

Applied Behavior Analysis

Box 12.2: ETHICS—Controlling Human Behavior

Small N Designs in Applied Behavior Analysis

Elements of Single]Subject Designs

Withdrawal Designs

Research Example 38—An A–B–A–B Design

Multiple Baseline Designs

Research Example 39—A Multiple Baseline Design

Changing Criterion Designs

Research Example 40—A Changing Criterion Design

Alternating Treatments Designs

Research Example 41—An Alternating Treatments Design

Evaluating Single]Subject Designs

Case Study Designs

Research Example 42—A Case Study

Box 12.3: CLASSIC STUDIES—The Mind of a Mnemonist

Evaluating Case Studies

Epilogue: What I Learned in My Research Methods Course

Appendix A Communicating the Results of Research in Psychology

Research Reports and APA-Style

General Guidelines

Writing Style

Using Numbers

Reducing Bias in Language

Avoiding Plagiarism

Main Sections of the Research Report

Presentations and Posters

Tips for Presenting a Paper

Tips for Presenting a Poster

Appendix B Answers to Selected End-of-Chapter Applications Exercises

Chapter 1. Scientific Thinking in Psychology

Chapter 2. Ethics in Psychological Research

Chapter 3. Developing Ideas for Research in Psychology

Chapter 4. Sampling, Measurement, and Hypothesis Testing

Chapter 5. Introduction to Experimental Research

Chapter 6. Methodological Control in Experimental Research

Chapter 7. Experimental Design I: Single]Factor Designs

Chapter 8. Experimental Design II: Factorial Designs

Chapter 9. Non]Experimental Design I: Survey Methods

Chapter 10. Non]Experimental Design II: Observational and Archival Methods

Chapter 11. Quasi]Experimental Designs and Applied Research

Chapter 12. Small N Designs

Appendix A. Communicating the Results of Research in Psychology

Glossary

References

Index

Research in Psychology Methods and Design 8e

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      Publisher: John Wiley & Sons Inc
      Publication Date: 23/02/2018
      ISBN13: 9781119510239, 978-1119510239
      ISBN10: 1119510236

      Description

      Book Synopsis

      An approachable, coherent, and important text,Research in Psychology: Methods and Design, 8thEditioncontinues to provide its readers with a clear, concise look at psychological science, experimental methods, and correlational research in this newly updated version. Helpful learning aids, step-by-step instructions, and detailed examples of real research studies makes the material easy to read and student-friendly.



      Table of Contents

      Summary of Research Examples

      Preface

      1 Scientific Thinking in Psychology

      Why Take This Course?

      Ways of Knowing

      Authority

      Use of Reason

      Empiricism

      The Ways of Knowing and Science

      Science as a Way of Knowing

      Science Assumes Determinism

      Science Makes Systematic Observations

      Science Produces Public Knowledge

      Box 1.1: ORIGINS—A Taste of Introspection

      Science Produces Data]Based Conclusions

      Science Produces Tentative Conclusions

      Science Asks Answerable Questions

      Science Develops Theories That Can Be Falsified

      Psychological Science and Pseudoscience

      Recognizing Pseudoscience

      Associates with True Science

      Box 1.2: CLASSIC STUDIES—Falsifying Phrenology

      Relies on Anecdotal Evidence

      Sidesteps the Falsification Requirement

      Reduce Complex Phenomena to Overly Simplistic Concepts

      The Goals of Research in Psychology

      Describe

      Predict

      Explain

      Apply

      A Passion for Research in Psychology

      Eleanor Gibson (1910–2002)

      B. F. Skinner (1904–1990)

      2 Ethics in Psychological Research

      Box 2.1: CLASSIC STUDIES—Infants at Risk

      Developing a Code of Ethics for Psychological Science

      Ethical Guidelines for Research with Humans

      Weighing Benefits and Costs: The Role of the IRB

      Informed Consent and Deception in Research

      Box 2.2: ETHICS—Historical Problems with Informed Consent

      Informed Consent and Special Populations

      Use of Deception

      Treating Participants Well

      Research Ethics and the Internet

      Ethical Guidelines for Research with Animals

      Animal Rights

      Box 2.3: ORIGINS—Antivivisection and the APA

      Using Animals in Psychological Research

      The APA Code for Animal Research

      Justifying the Study

      Caring for the Animals

      Using Animals for Educational Purposes

      Scientific Fraud

      Data Falsification

      3 Developing Ideas for Research in Psychology

      Varieties of Psychological Research

      The Goals: Basic versus Applied Research

      The Setting: Laboratory versus Field Research

      Research Example 1—Combining Laboratory and Field Studies

      The Data: Quantitative versus Qualitative Research

      Asking Empirical Questions

      Operational Definitions

      Developing Research from Observations of Behavior and Serendipity

      Box 3.1: ORIGINS—Serendipity and Edge Detectors

      Developing Research from Theory

      The Nature of Theory

      The Relationship between Theory and Research

      Attributes of Good Theories

      Falsification

      Box 3.2: CLASSIC STUDIES—Falsification and Der Kluge Hans

      Parsimony

      Common Misunderstandings about Theory

      Developing Research from Other Research

      Research Teams and the “What’s Next?” Question

      Research Example 2 – “What’s Next?”

      Replication

      Box 3.3: ETHICS—Questionable Research Practices and Replication Remedies

      Creative Thinking in Science

      Reviewing the Literature

      Computerized Database Searches

      Search Tips

      Search Results

      4 Sampling, Measurement, and Hypothesis Testing

      Who to Measure—Sampling Procedures

      Probability Sampling

      Random Sampling

      Stratified Sampling

      Cluster Sampling

      Nonprobability Sampling

      What to Measure—Varieties of Behavior

      Developing Measures from Constructs

      Research Example 3—Testing Constructs Using Habituation

      Research Example 4—Testing Constructs Using Reaction Time

      Box 4.1: ORIGINS—Reaction Time: From Mental Chronometry to Mental Rotation

      Evaluating Measures

      Reliability

      Validity

      Research Example 5—Construct Validity

      Reliability and Validity

      Scales of Measurement

      Nominal Scales

      Ordinal Scales

      Interval Scales

      Box 4.2: CLASSIC STUDIES—Measuring Somatotypes on an Interval Scale: Hoping for 4-4-4

      Ratio Scales

      Statistical Analysis

      Descriptive and Inferential Statistics

      Descriptive Statistics

      Box 4.3: ETHICS—Statistics that Mislead

      Inferential Statistics

      Null Hypothesis Significance Testing

      Type I and Type II Errors

      Interpreting Failures to Reject H0

      Beyond Null Hypothesis Significance Testing

      Effect Size

      Confidence Intervals

      Power

      5 Introduction to Experimental Research

      Essential Features of Experimental Research

      Box 5.1: ORIGINS—John Stuart Mill and the Rules of Inductive Logic

      Establishing Independent Variables

      Varieties of Manipulated Independent Variables

      Control Groups

      Research Example 6—Experimental and Control Groups

      Controlling Extraneous Variables

      Measuring Dependent Variables

      Subject Variables

      Research Example 7—Using Subject Variables

      Drawing Conclusions When Using Subject Variables

      Box 5.2: CLASSIC STUDIES—Bobo Dolls and Aggression

      The Validity of Experimental Research

      Statistical Conclusion Validity

      Construct Validity

      External Validity

      Other Populations

      Box 5.3: ETHICS—Recruiting Participants: Everyone’s in the Pool

      Other Environments

      Other Times

      A Note of Caution about External Validity

      Internal Validity

      Threats to Internal Validity

      Studies Extending Over Time

      History and Maturation

      Regression to the Mean

      Testing and Instrumentation

      Participant Problems

      Subject Selection Effects

      Attrition

      A Final Note on Internal Validity, Confounding, and External Validity

      6 Methodological Control in Experimental Research

      Between]Subjects Designs

      Creating Equivalent Groups

      Random Assignment

      Matching

      Within]Subjects Designs

      Controlling Order Effects

      Testing Once per Condition

      Complete Counterbalancing

      Partial Counterbalancing

      Testing More than Once per Condition

      Reverse Counterbalancing

      Block Randomization

      Research Example 8—Counterbalancing with Block Randomization

      Methodological Control in Developmental Research

      Box 6.1: CLASSIC STUDIES—The Record for Repeated Measures

      Controlling for the Effects of Bias

      Experimenter Bias

      Controlling for Experimenter Bias

      Research Example 9—Using a Double Blind Procedure

      Participant Bias

      Box 6.2: ORIGINS—Productivity at Western Electric

      Research Example 10—Demand Characteristics

      Controlling for Participant Bias

      Box 6.3: ETHICS—Research Participants Have Responsibilities Too

      7 Experimental Design I: Single]Factor Designs

      Single Factor—Two Levels

      Between]Subjects, Single]Factor Designs

      Research Example 11—Two-Level Independent Groups Design

      Research Example 12— Two-Level Matched Groups Design

      Research Example 13— Two-Level Ex Post Facto Design

      Within]Subjects, Single]Factor Designs

      Box 7.1: CLASSIC STUDIES—Psychology’s Most Widely Replicated Finding?

      Research Example 14—Two-Level Repeated Measures Design

      Single Factor—More Than Two Levels

      Between]Subjects, Multilevel Designs

      Research Example 15—Multilevel Independent Groups Design

      Within]Subjects, Multilevel Designs

      Research Example 16—Multilevel Repeated Measures Design

      Analyzing Data from Single]Factor Designs

      Presenting the Data

      Types of Graphs

      Box 7.2: ORIGINS—The Ebbinghaus Forgetting Curve

      Analyzing the Data

      Statistics for Single-Factor, Two-Level Designs

      Statistics for Single-Factor, Two-Level Designs

      Special]Purpose Control Group Designs

      Placebo Control Group Designs

      Wait List Control Group Designs

      Box 7.3: ETHICS—Who’s in the Control Group?

      Research Example 17—Using Both Placebo and Wait List Control Groups

      Yoked Control Group Designs

      Research Example 18—A Yoked Control Group

      8 Experimental Design II: Factorial Designs

      Essentials of Factorial Designs

      Identifying Factorial Designs

      Outcomes—Main Effects and Interactions

      Main Effects

      Research Example 19—Main Effects

      Interactions

      Research Example 20—An Interaction with No Main Effects

      Interactions Sometimes Trump Main Effects

      Combinations of Main Effects and Interactions

      Creating Graphs for the Results of Factorial Designs

      Box 8.1: CLASSIC STUDIES—To Sleep, Perchance to Recall

      Varieties of Factorial Designs

      Mixed Factorial Designs

      Research Example 21—A Mixed Factorial with Counterbalancing

      Research Example 22—A Mixed Factorial without Counterbalancing

      Factorials with Subject and Manipulated Variables: P × E Designs

      Research Example 23—A Factorial Design with a P × E Interaction

      Research Example 24—A Mixed P × E Factorial with Two Main Effects

      Recruiting Participants for Factorial Designs

      Box 8.2: ETHICS—On Being a Competent and Ethical Researcher

      Analyzing Data from Factorial Designs

      Box 8.3: ORIGINS—Factorials Down on the Farm

      9 Non]Experimental Design I: Survey Methods

      Survey Research

      Box 9.1: ORIGINS—Creating the “Questionary”

      Sampling Issues in Survey Research

      Surveys versus Psychological Assessment

      Creating an Effective Survey

      Types of Survey Questions or Statements

      Assessing Memory and Knowledge

      Adding Demographic Information

      A Key Problem: Survey Wording

      Collecting Survey Data

      In-Person Interviews

      Mailed Written Surveys

      Phone Surveys

      Online Surveys

      Ethical Considerations

      Box 9.2: ETHICS—Using and Abusing Surveys

      Research Example 25—A Survey of College Students’ Study Strategies

      Analyzing Data from Non]Experimental Methods

      Correlation: Describing Relationships

      Scatterplots

      Correlation Coefficients

      Coefficient of Determination

      Be Aware of Outliers

      Regression: Making Predictions

      Research Example 26 – Regression and Multiple Regression

      Interpreting Correlational Results

      Directionality

      Research Example 27—Correlations and Directionality

      Third Variables

      Combining Non]Experimental and Experimental Methods

      Research Example 28—Combining Methods

      10 Non]Experimental Design II: Observational and Archival Methods

      Observational Research

      Varieties of Observational Research

      Naturalistic Observation

      Participant Observation

      Box 10.1: CLASSIC STUDIES—When Prophecy Fails

      Challenges Facing Observational Methods

      Absence of Control

      Observer Bias

      Participant Reactivity

      Ethics

      Box 10.2: ETHICS—A Matter of Privacy

      Research Example 29—A Naturalistic Observation

      Research Example 30—A Covert Participant Observation

      Analyzing Qualitative Data from Non]Experimental Designs

      Archival Research

      Archival Data

      Research Example 31—A Non-Experimental Design

      Using Archival Data

      Analyzing Archival Data

      Meta]Analysis—A Special Case of Archival Research

      Research Example 32—Meta-analysis and Psychology’s First Registered Replication Report (RRR)

      11 Quasi]Experimental Designs and Applied Research

      Beyond the Laboratory

      Research Example 33—Applied Research

      Applied Psychology in Historical Context

      Box 11.1: CLASSIC STUDIES—The Hollingworth’s, Applied Psychology, and Coca-Cola

      Design Problems in Applied Research

      Quasi]Experimental Designs

      Nonequivalent Control Group Designs

      Outcomes

      Regression to the Mean and Matching

      Research Example 34—A Nonequivalent Control Group Design

      Research Example 35—A Nonequivalent Control Group Design Without Pretests

      Interrupted Time Series Designs

      Outcomes

      Research Example 36—An Interrupted Time Series Design

      Variations on the Basic Time Series Design

      Program Evaluation

      Box 11.2: ORIGINS—Reforms as Experiments

      Planning for Programs—Needs Analysis

      Research Example 37—Assessing Need in Program Evaluation

      Monitoring Programs—Formative Evaluation

      Evaluating Outcomes—Summative Evaluation

      Weighing Costs—Cost]Effectiveness Analysis

      A Note on Qualitative Data Analysis

      Box 11.3: ETHICS—Evaluation Research and Ethics

      12 Small N Designs

      Research in Psychology Began with Small N

      Box 12.1: ORIGINS—Cats in Puzzle Boxes

      Reasons for Small N Designs

      Occasional Misleading Results from Statistical Summaries of Grouped Data

      Practical and Philosophical Problems with Large N Designs

      The Experimental Analysis of Behavior

      Applied Behavior Analysis

      Box 12.2: ETHICS—Controlling Human Behavior

      Small N Designs in Applied Behavior Analysis

      Elements of Single]Subject Designs

      Withdrawal Designs

      Research Example 38—An A–B–A–B Design

      Multiple Baseline Designs

      Research Example 39—A Multiple Baseline Design

      Changing Criterion Designs

      Research Example 40—A Changing Criterion Design

      Alternating Treatments Designs

      Research Example 41—An Alternating Treatments Design

      Evaluating Single]Subject Designs

      Case Study Designs

      Research Example 42—A Case Study

      Box 12.3: CLASSIC STUDIES—The Mind of a Mnemonist

      Evaluating Case Studies

      Epilogue: What I Learned in My Research Methods Course

      Appendix A Communicating the Results of Research in Psychology

      Research Reports and APA-Style

      General Guidelines

      Writing Style

      Using Numbers

      Reducing Bias in Language

      Avoiding Plagiarism

      Main Sections of the Research Report

      Presentations and Posters

      Tips for Presenting a Paper

      Tips for Presenting a Poster

      Appendix B Answers to Selected End-of-Chapter Applications Exercises

      Chapter 1. Scientific Thinking in Psychology

      Chapter 2. Ethics in Psychological Research

      Chapter 3. Developing Ideas for Research in Psychology

      Chapter 4. Sampling, Measurement, and Hypothesis Testing

      Chapter 5. Introduction to Experimental Research

      Chapter 6. Methodological Control in Experimental Research

      Chapter 7. Experimental Design I: Single]Factor Designs

      Chapter 8. Experimental Design II: Factorial Designs

      Chapter 9. Non]Experimental Design I: Survey Methods

      Chapter 10. Non]Experimental Design II: Observational and Archival Methods

      Chapter 11. Quasi]Experimental Designs and Applied Research

      Chapter 12. Small N Designs

      Appendix A. Communicating the Results of Research in Psychology

      Glossary

      References

      Index

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