Students have an almost insurmountable task in understanding statistics in the psychological sciences and applying them to a research study. This textbook tackles this source of stress by guiding students through the research process, start to finish, from writing a proposal and performing the study, to analysing the results and creating a report and presentation. This truly practical textbook explains psychology research methods in a conversational style, with additional material of interest placed in focus boxes alongside, so that students don't lose their way through the steps. Every step is detailed visually with processes paralleled in both SPSS and R, allowing instructors and students to learn both statistical packages or to bridge from one to the other. Students perform hands-on statistical exercises using real data, and both qualitative and mixed-methods research are covered. They learn effective ways to present information visually, and about free tools to collect and analyse data.
This psychology textbook teaches research methods and applied statistics in an accessible and conversational style so students can create and execute a well-informed, thorough research study using SPSS or R.
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This psychology textbook offers approachable, step-by-step guidance developing a research study using SPSS or R.
Preface; Introduction;
1. Developing a Research Study Proposal;
2.
Developing a Research Question and Hypotheses, Choosing Statistics, and
Estimating the Sample Size;
3. Experimental vs. Correlational Studies,
Measuring Constructs, and Internal Consistency Reliability;
4. Demographics,
Creating Surveys, and Data Management;
5. Qualitative and Mixed-Methods
Approaches;
6. Beginning Your Analysis: Descriptive Statistics and
Correlations;
7. Relationships Between Nominal Data: Chi-Square and McNemar's
Tests;
8. Comparing Means with Two Groups: The t and U Tests;
9. Comparing
Means with Multiple Groups: The Analysis of Variance (ANOVA); 10 Multiple
Regression Analysis: Predicting a Continuous Variable;
11. Binary Logistic
Regression Analysis: Predicting a Dichotomous Variable;
12. Data
Visualization and Interpretation;
13. Pulling it All Together: The Research
Paper, the Research Poster, and Everything; Appendix A: Installing R.
Anthony Girasoli is a professor in the Psychological Science department at Eastern Connecticut State University. His research is primarily rooted in cognitive psychology, where computer science meets theories and methods of psychology. Anthony is a member of the American Psychological Association and reviews articles for Computers & Education.
