Review:
Part I: The Language and Approach of Science. 1. Science and the Scientific Approach. 2. Problems and Hypotheses. 3. Constructs, Variables, and Definitions. Part II: Sets, Relations, And Variance. 4. Sets. 5. Relations. 6. Variance and Covariance. Part III: Probability, Randomness, And Sampling. 7. Probability. 8. Sampling and Randomness. Part IV: Analysis, Interpretation, Statistics, And Inference. 9. Principles of Analysis and Interpretation. 10. The Analysis of Frequencies. 11. Statistics: Purpose, Approach, Method. 12. Testing Hypotheses and the Standard Error. Part V: Analysis Of Variance. 13. Analysis of Variance: Foundations. 14. Factorial Analysis of Variance. 15. Analysis of Variance: Correlated Groups. 16. Nonparametric Analysis of Variance and Related Statistics. Part VI: Designs of Research. 17. Ethical Considerations in Conducting Behavioral Science Research. 18. Research Design: Purpose and Principles. 19. Inadequate Designs and Design Criteria. 20. General Designs of Research. 21. Research Design Applications: Randomized Groups and Correlated Groups. Part VII: Types of Research. 22. Quasi-Experimental and N = 1 Designs of Research. 23. Nonexperimental Research. 24. Laboratory Experiments, Field Experiments, and Field Studies. 25. Survey Research. Part VIII: Measurement. 26. Foundations of Measurement. 27. Reliability. 28. Validity. Part IX: Methods and Observations and Data Collection. 29. Interviews and Interview Schedules. 30. Objective Tests and Scales. 31. Observations of Behavior and Sociometry. Part X: Multivariate Approaches. 32. Multiple Regression Analysis: Foundations. 33. Multiple Regression, Analysis of Variance, and Other Multivariate Methods. 34. Factor Analysis. 35. Analysis of Covariance Structures. Appendixes: A. Guide for Writing Research Reports. B: Statistical Tables.
Synopsis:
First published in 1964, this text has set the standard for other texts in the field of behavioural research methodology. It emphasises the fundamentals of understanding how to solve a scientific research problem, focusing upon the relationship between the research problems and the design of the research.
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