Synopsis
This book was written in response to the needs for a growing number of schools that are teaching an integrated research methods/statistics course. Basic Research Methods and Statistics has detailed, comprehensive and even-handed coverage of the fundamental issues in research design and data analysis, and is written in a conversational style that students can easily comprehend. The text is comprehensive in its coverage of basic and intermediate topics, however, the modular format allows professors to skip or rearrange the order of chapters without loss of continuity. Therefore, the text is appropriate for either a one-semester or two-semester course.
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Review
1. An Introductory Overview. 2. Ethics in Research. 3. Variables. 4. Measuring Variables. 5. Descriptive Statistics. 6. Hypothesis Testing. 7. General Research Methods. 8. Correlation Coefficients. 9. Introduction to Regression Analysis. 10. Designing Experiments and Quasi-Experiments. 11. The z-Test and t-Test: Analyzing Data from One And Two-Group Designs. 12. Analysis of Variance. 13. Nonparametric Tests for Experiments and Quasi-Experiments. 14. Estimation and Confidence Intervals. 15. Single-Subject Research Design. 16. Qualitative Research Methods and Analysis.
Synopsis
This work was written for use on psychology courses that integrate research methods and statistics. It features coverage of the fundamental issues in research design and data and does not require prior statistics knowledge. The text integrates statistics and research methods by allowing students to understand the relationship between both subjects, rather than seeing them disconnected.
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Basic Research Methods and Statistics: An Integrated Approach
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Basic Research Methods and Statistics: An Integrated Approach
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