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Foundations of Behavioral Research (PSY 200 (300) Quantitative Methods in Psychology), by Fred N. Kerlinger, Howard B. Lee
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This text examines the fundamentals of solving a scientific research problem, focusing on the relationship between the problem and the research design. This edition includes new information about computer statistical software, multivariate statistics, research ethics, and writing research reports in APA style. This book is ideal for graduate students in that it covers statistics, research methodology, and measurement all in one volume. This is a book that graduate students will keep as a reference throughout their careers.
- Sales Rank: #436609 in Books
- Published on: 1999-08-09
- Original language: English
- Number of items: 1
- Dimensions: 9.75" h x 8.00" w x 1.25" l, 3.70 pounds
- Binding: Hardcover
- 1008 pages
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.
Most helpful customer reviews
21 of 23 people found the following review helpful.
One of a kind
By al. jon
There are very few books written that covers as many important topics in behavioral research methods as this one. Earlier editions were outstanding and the fourth edition is exceptional. The new material in the 4th Edition is helpful to today's researcher. Both researcher and student doing research should have this book. The examples are extremely useful in facilitating the understanding of research methods and the analysis of data.
13 of 15 people found the following review helpful.
The best guide to research techniques in the social sciences
By Michael Emmett Brady
Lee gives a six star performance by improving on what was already a five star performance in the third edition before Kerlinger's death.This is a must have book for anyone planning to do statistical analysis ,not only in psychology,but in the social sciences as well(especially economics).For example,Lee points out(pp.265,863)the importance of doing some type of test for goodness of fit(Chi- Square test,etc.)BEFORE a researcher assumes that he can make use of the normal probability distribution as an approximation of the data set at hand.This has not been the case in econometric time series studies of (a) financial markets(financial economics,portfolio analysis)or of(b) real,durable investment over the business cycle.The Black-Scholes equation and the CAPM model,both used as foundations in business finance courses in all countries worldwide, just assumes normality.The famous Keynes-Tinbergen debate about the logical foundations of econometrics in the Economic Journal of 1939-40 reveals that the founders of econometrics did not test the data correctly for normality.Keynes's comments about the necessity to demonstrate the uniformity,homogeneity,and stability of the time series data before any multiple regressions were run was ridiculed as the foolish ,out of date utterances of a once magnificient mind that had deteriorated by the late 1930's.Benoit Mandelbrot's massive data analysis,replicated by many different researchers in many different countries since the early 1970's,shows that the assumption of normality ,underlying statistical price data analysis done by economists in practically all financial markets(stocks,bonds,money,currency,exchange,commodities)over the last 60 years,is all wrong.There is one minor oversite in the fourth edition.There is no discussion of Ellsberg's paradox and/or ambiguous probabilities.Lee does ,of course, discuss Keynes's concept of the weight of the evidence and probabilities that have low weight.Both Lee and Brady had agreed 15 years ago that Keynes's w,defined on the unit interval between 0 and 1,was practically the same as Ellsberg's rho,defined on the unit interval between 0 and 1.In real life,most of the probabilities will turn out to be ambiguous(plus being underweighted).In such situations it will not be possible to treat probability according to the Kolmogorov axioms.The experimental-empirical work of Tversky-Kahneman demonstrates that the vast majority of real world decision makers are rational(contrary to the conclusion drawn from the evidence by Tversky-Kahneman)but are working with ambiguous or underweighted probabilities.
2 of 2 people found the following review helpful.
Such an excellent book
By Peter Andersen
Kerlinger and Lee successfully describe scientific research and the process of research methods in details, types of quantitative and experimental studies, reliability and validity tests and so on. It is a great reference books, especially for MBA and PhD students.
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