Methods in Behavioral Research 15th Edition By Paul Cozby, Scott Bates
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- 513
- File size
- 5.87 MB
- Format
- Digital PDF
- Course
- Education
- Category
- eBook[PDF]
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About this ebook
The 15th Edition of Methods in Behavioral Research by Paul Cozby and Scott Bates covers 14 core chapters that guide students through the sequential arc of planning, conducting, analyzing, and presenting a behavioral study. [1, 2]
The textbook is fully aligned with APA 7th edition guidelines and places a modern, integrated emphasis on Diversity, Equity, and Inclusion (DEI), open science practices, and the generalizability of past research. [1, 2]
Chapter-by-Chapter Topics Covered
| Chapter | Topic / Title | Key Core Concepts |
|---|---|---|
| Chapter 1 | Scientific Understanding of Behavior | The scientific approach, goals of science, and differences between basic vs. applied research. |
| Chapter 2 | Where to Start | Developing hypotheses and predictions, utilizing library research databases, and decoding the anatomy of a research article. |
| Chapter 3 | Ethics in Behavioral Research | Institutional Review Boards (IRBs), participant risk-benefit analysis, informed consent, and dealing with deception or plagiarism. |
| Chapter 4 | Fundamental Research Issues | Operational definitions of variables, and distinguishing between validity types (internal vs. external validity). |
| Chapter 5 | Measurement Concepts | Reliability of measures, construct validity, and nominal/ordinal/interval/ratio scales of measurement. |
| Chapter 6 | Observational Methods | Quantitative vs. qualitative approaches, naturalistic observation, systematic observation, and case studies. |
| Chapter 7 | Asking People About Themselves: Survey Research | Constructing questionnaires, sampling techniques (probability vs. nonprobability), and minimizing response biases. |
| Chapter 8 | Experimental Design | Confounding variables, independent group designs, repeated measures designs, and posttest-only vs. pretest-posttest formats. |
| Chapter 9 | Conducting Experiments | Selecting and assigning participants, manipulating the independent variable, measuring the dependent variable, and using control groups. |
| Chapter 10 | Complex Experimental Designs | Factorial designs, main effects, and interactions between multiple independent variables. |
| Chapter 11 | Single-Case, Quasi-Experimental, and Developmental Research | Program evaluation, quasi-experimental methods, single-case designs, and developmental approaches (cross-sectional vs. longitudinal). |
| Chapter 12 | Understanding Research Results: Description and Correlation | Frequency distributions, descriptive statistics (mean, median, mode), effect sizes, and correlation coefficients. |
| Chapter 13 | Understanding Research Results: Statistical Inference | Null hypothesis testing, statistical significance, t-tests, F-tests (ANOVA), and avoiding Type I and Type II errors. |
| Chapter 14 | Generalization | External validity across diverse populations, the replication crisis, open science initiatives, and the role of meta-analyses. |
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