Instructor’s Manual for Methods In Behavioural Research 4th Edition By Paul C. Cozby © 2024

Instructor’s Manual for Methods in Behavioural Research (4th Ed.)

About the Book

The Instructor’s Manual for Methods in Behavioural Research, 4th Canadian Edition by Paul C. Cozby offers structured guidance for teaching behavioural research. This edition focuses on enhancing students’ scientific and critical thinking skills essential for real-world problem-solving in research contexts.

Key Features

• Clear and Accessible Language: Cozby’s engaging writing style ensures content is easy to understand and apply.

• Updated Content: Includes two new chapters on sampling methods and qualitative research, along with expanded material on statistical software.

• Inclusive Design: Revised chapter titles and content enhance clarity and reflect inclusive academic practices.

• Digital Integration: Available on the Connect platform for seamless LMS integration, allowing instructors to customize lessons and track student progress.

Chapter Highlights

1. Thinking Like a Scientist
Introduces critical scientific thinking and how it applies to behavioural research.

2. Asking Questions and Finding Evidence
Covers formulating research questions and locating credible evidence.

3. The Ethical Responsibilities of Scientists
Outlines ethical standards for protecting participants and ensuring research integrity.

4. Who Should We Collect Information From?
Explains sampling techniques and their influence on research outcomes.

5. Different Approaches to Research
Covers qualitative and quantitative methods used in behavioural studies.

6. Making Measurements to Gather Information
Focuses on ensuring reliable and valid data through accurate measurement.

7. Qualitative Research
Introduces qualitative methods and the importance of maintaining data richness.

8. Gathering Information Through Observation
Guides observational research practices and ethical considerations.

9. Survey Research
Details effective survey design and interpretation techniques.

10. Experimental Research
Explains how controlled experiments can identify causal relationships.

11. Refining and Conducting Studies
Focuses on improving research design and ethical study execution.

12. Quasi-experimental Research
Explores alternative research designs when full experiments aren’t feasible.

13. Advanced Experimental Designs
Delves into complex experimental frameworks for deeper analysis.

14. Descriptive & Inferential Statistics
Provides tools for summarizing data and making broader conclusions.

15. Generalizing Results
Covers result interpretation and the importance of replicability.

What’s New in the 4th Edition

• Expanded statistical software coverage

• New chapters on sampling and qualitative methods

• Enhanced clarity and inclusivity throughout the text

• Connect platform access for streamlined teaching