- ホーム
- > 洋書
- > 英文書
- > Psychology
Full Description
Undergraduate students of psychology.
Contents
Section 1Chapter 1: Introduction to Scientific Thinking1.1 Science as a Method of Knowing1.2 The Scientific Method1.3 Other Methods of Knowing1.4 The Goals of Science1.5 Approaches in Acquiring Knowledge1.6 Distinguishing Science From PseudoscienceChapter 2: Generating Testable Ideas2.1 Generating Interesting and Novel Ideas2.2 Converting Ideas to Hypotheses and Theories2.3 Developing Your Idea: Deduction and Induction2.4 Performing a Literature Review2.5 Ethics in Focus: Giving Proper Credit2.6 The "3 Cs" of an Effective Literature Review2.7 Testing Your Idea: Confirmation and Disconfirmation2.8 Ethics in Focus: Publication BiasChapter 3: Research Ethics3.1 Ethics in Behavioral Research3.2 The Need for Ethics Committees in Research: A Historical Synopsis3.3 Ethics in Focus: Examples From Psychology3.4 Human Participant Research: IRBs and the APA Code of Conduct3.5 Ethics in Focus: Anonymity and Confidentiality3.6 Animal Subject Research: IACUCs and the APA Code of Conduct3.7 Additional Ethical Considerations: Scientific IntegritySection II: Defining and Measuring Variables, Selecting Samples, and Choosing an Appropriate Research DesignChapter 4: Identifying Scientific Variables4.1 Criteria for Defining and Measuring Variables4.2 Constructs and Operational Definitions4.3 Types of Variables4.4 Scales of Measurement4.5 Reliability of a Measurement4.6 Validity of a Measurement4.7. Selecting a Measurement Procedure4.8 Ethics in Focus: Replication as a Gauge for Fraud?4.9 SPSS in Focus: Entering and Coding DataChapter 5: Sampling From Populations5.1 Why Do Researchers Select Samples?5.2 Subjects, Participants, and Sampling Methods5.3 Methods of Sampling: Nonprobability Sampling5.4 Methods of Sampling: Probability Sampling5.5 Sampling Error and Standard Error of the Mean5.6 SPSS in Focus: Estimating the Standard Error of the Mean5.7 Potential Biases in Sampling5.8 Ethics in Focus: Participant Pools5.9 SPSS in Focus: Identifying New Populations Using the One-Sample t TestChapter 6: Choosing a Research Design6.1 Designing a Study to Answer a Question6.2 Categories of Research Design6.3 Internal and External Validity6.4 Demonstrating Cause in an Experiment6.5 Ethics in Focus: Beneficence and Random Assignment6.6 Threats to the Internal Validity of a Research Study6.7 Threats to the External Validity of a Research Study6.8 External Validity, Experimentation, and Realism6.9 A Final Thought on Validity and Choosing a Research DesignSection III: Nonexperimental Research DesignsChapter 7: Naturalistic, Qualitative, and Existing Data Research DesignsNaturalistic Observation7.1 An Overview of Naturalistic Observation7.2 The Research Setting: Natural and Contrived Settings7.3 Techniques for Conducting Naturalistic Observation7.4 Ethics in Focus: Influencing Participant BehaviorQualitative Designs7.5 An Overview of Qualitative Designs7.6 Qualitative Research Designs7.7 Ethics in Focus: Anonymity in Qualitative ResearchExisting Data Designs7.8 An Overview of Existing Data Designs7.9 Existing Data Designs7.10 Ethics in Focus: Existing Data and Experimenter BiasChapter 8: Survey and Correlational Research DesignsSurvey Designs8.1 An Overview of Survey Designs8.2 Types of Survey Items8.3 Rules for Writing Survey Items8.4 Administering Surveys8.5 Surveys, Sampling, and Nonresponse Bias8.6 Ethics in Focus: Handling and Administering SurveysCorrelational Designs8.7 The Structure of Correlational Designs8.8 Describing the Relationship Between Variables8.9 Limitations in Interpretation8.10 Correlation, Regression, and Prediction8.11 SPSS in Focus: Correlation and Linear RegressionSection IV: Quasi- Experimental and Experimental Research DesignsChapter 9: Quasi-Experimental and Single-Case Experimental DesignsQuasi-Experimental Designs9.1 An Overview of Quasi-Experimental Designs9.2 Quasi-Experimental Design: One-Group Designs9.3 Quasi-Experimental Design: Nonequivalent Control Group Designs9.4 Quasi-Experimental Design: Time Series Designs9.5 Quasi-Experimental Design: Developmental Designs9.6 Ethics in Focus: Development and AgingSingle-Case Experimental Designs9.7 An Overview of Single-Case Designs9.8 Single-Case Baseline-Phase Designs9.9 Validity, Stability, Magnitude, and Generality9.10 Ethics in Focus: The Ethics of InnovationChapter 10: Between-Subjects Experimental Designs10.1 Conducting Experiments: Between-Subjects Design10.2 Experimental Versus Control Group10.3 Manipulation and the Independent Variable10.4 Variability and the Independent Variable10.5 Ethics in Focus: The Accountability of Manipulation10.6 Comparing Two Independent Samples10.7 SPSS in Focus: Two-Independent-Sample t Test10.8 Comparing Two or More Independent Samples10.9 SPSS in Focus: One-Way Between-Subjects ANOVA10.10 Measuring the Dependent Variable10.11 Advantages and Disadvantages of the Between-Subjects DesignChapter 11: Within-Subjects Experimental Designs11.1 Conducting Experiments: Within-Subjects Design11.2 Controlling Time-Related Factors11.3 Ethics in Focus: Minimizing Participant Fatigue11.4 Individual Differences and Variability11.5 Comparing Two Related Samples11.6 SPSS in Focus: Related-Samples t Test11.7 Comparing Two or More Related Samples11.8 SPSS in Focus: One-Way Within-Subjects ANOVA11.9 An Alternative to Pre-Post Designs: Solomon Four-Group Design11.10 Comparing Between-Subjects and Within-Subjects DesignsChapter 12: Factorial Experimental Designs12.1 Testing Multiple Factors in the Same Experiment12.2 Selecting Samples for a Factorial Design in Experimentation12.3 Types of Factorial Designs12.4 Ethics in Focus: Participant Fatigue and Factorial Designs12.5 Main Effects and Interactions12.6 Identifying Main Effects and Interactions in a Graph12.7 Including Quasi-Independent Factors in an Experiment12.8 Reasons for Including Two or More Factors in an Experiment12.9 Higher-Order Factorial Designs12.10 SPSS in Focus: General Instructions for Conducting a Factorial ANOVASection V: Analyzing, Intrepreting, and Communicating Research DataChapter 13: Analysis and Interpretation: Exposition of Data13.1 Descriptive Statistics: Why Summarize Data?13.2 Frequency Distributions: Tables and Graphs13.3 Measures of Central Tendency13.4 Measures of Variability13.5 SPSS in Focus: Central Tendency and Variability13.6 Graphing Means and Correlations13.7 Using Correlation to Describe Reliability13.8 SPSS in Focus: Cronbach's Alpha and Cohen's Kappa13.9 Ethics in Focus: Deception Due to the Distortion of DataChapter 14: Analysis and Interpretation: Making Decisions About Data14.1 Inferential Statistics: What Are We Making Inferences About?14.2 Types of Error and Power 14.3 Parametric Tests: Applying the Decision Tree14.4. Nonparametric Tests: Applying the Decision Tree14.5 SPSS in Focus: The Chi-Square Tests14.6 Effect Size: How Big Is an Effect in the Population?14.7 Estimation: What Are the Possible Values of a Parameter?14.8 Confidence Intervals, Significance, and Effect Size14.9 Issues for Interpretation: Precision and Certainty14.10 Ethics in Focus: Full Disclosure of DataChapter 15: Communicating Research: Preparing Manuscripts, Posters, and Talks15.1 Elements of Communication15.2 Writing a Manuscript: Writing Style and Language15.3 Elements of an APA-Style Manuscript15.4 Literature Reviews15.5 Reporting Observations in Qualitative Research15.6 Ethics in Focus: Credit and Authorship15.7 Presenting a Poster15.8 Giving a Professional Talk
