|Introduction to Statistics and Research Methods: Pearson New International Edition||
Introduction to Statistics and Research Methods: Pearson New International Edition
For undergraduate Psychology courses in statistics and research methods.
A forward-looking text that combines research methods and statistics, this book is valuable for a single course or a two-semester sequence that covers what have traditionally been two separate courses.
The Psychological Detective–Appearing throughout each chapter, these sections, ask questions or present situations to engage students.
~Encourage critical thinking and serve as excellent stimulants for productive class discussions.
Margin Definitions–Appear in the margin.
~Introduce each new, key term as the term is presented in the text.
Review Summaries–Each chapter will contain one or more review summaries.
~Help students master smaller chunks of material.
Check Your Progress–Appear after each Review Summary.
~Offers students a way to test their mastery of the material.
Student Research Examples–Feature student presentations at professional society meetings and student publications in the professional literature.
~Makes research and the research process personal, un-intimidating, and appealing.
Statistics Problems–Problems will be featured at the end of each statistics chapter.
~Provide students the opportunity practice and review chapter material.
The Continuing Research Problem–Introduced in Chapter 10, and expanded and modified to conform to the requirements of the more complex designs in chapters 12 and 14.
~Facilitates student understanding of basic research designs and their relations.
A Student’s View of the Publication Process.
~Presents students with an insider’s view of the publication process–From manuscript preparation, submission, and revision(s) through to final acceptance and journal publication.
1. The Science of Psychology.
2. Research Ideas and Hypotheses.
3. Ethics in Psychological Research.
4. Basic Statistical Concepts, Frequency Tables, Graphs, Frequency Distributions, and Measures of Central Tendency.
5. The Basics of Experimentation I: Variables and Control.
6. Summarizing and Comparing Data: Measures of Variation, Distribution of Means and the Standard Error of the Mean, and z Scores.
7. The Basics of Experimentation II: Final Considerations, Unanticipated Influences, and Cross-Cultural Issues.
8. Correlation and Prediction.
9. Probability, the Normal Curve, and Sampling.
10. Designing and Conducting Experiments with Two Groups.
11. Inferential Tests of Significance I: t tests—Analyzing Experiments with Two Groups.
12. Designing and Conducting Experiments with More Than Two Groups.
13. Inferential Tests of Significance II: Analyzing and Interpreting Experiments with More Than Two Groups.
14. Designing and Conducting Experiments with Multiple Independent Variables.
15. Inferential Tests of Significance III: Analyzing and Interpreting Experiments with Multiple Independent Variables.
16. Alternative Research Designs.
17. External Validity and Critiquing Experimental Research.
18. Data Transformations and Nonparametric Tests of Significance.
19. Nonexperimental Methods.
20. Writing and Assembling an APA-Format Research Report.
Appendix A: Statistical Tables.
Appendix B: Check Your Progress Answers.
Appendix C: Answers to Exercises