Quantitative and statistical research methods : from hypothesis to results / William E. Martin, Krista D. Bridgmon.
Material type: TextSeries: Research methods for the social sciences ; 42.Publisher: San Francisco : Jossey-Bass, [2012]Edition: First editionDescription: xviii, 475 pages : illustrations ; 24 cmContent type:- text
- unmediated
- volume
- 0470631821
- 9780470631829
- 150.727 23
- BF38.5 .M349 2012
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Book | North Campus North Campus Main Collection | 150.727 MAR (Browse shelf(Opens below)) | 1 | Available | A512264B | ||
Book | South Campus South Campus Main Collection | 150.727 MAR (Browse shelf(Opens below)) | 1 | Available | A512263B |
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Includes bibliographical references and index.
Chapter 1. Introduction and overview -- Chapter 2. Logical steps of conducting quantitative research, hypothesis-testing process -- Chapter 3. Maximizing hypothesis decisions using power analysis -- Chapter 4. Research and statistical designs -- Chapter 5. Introduction to IBM SPSS 20 -- Chapter 6. Diagnosing study data for inaccuracies and assumptions -- Chapter 7. Randomized design comparing two treatments and a control using a one-way analysis of variance -- Chapter 8. Repeated-treatment design using a repeated-measures analysis of variance -- Chapter 9. Randomized factorial experimental design using a factorial ANOVA -- Chapter 10. Analysis of covariance -- Chapter 11. Randomized control group and repeated-treatment designs and nonparametics -- Chapter 12. Bivariate and multivariate correlation methods using multiple regression analysis -- Chapter 13. Understanding quantitative literature and research.
"Quantitative and Statistical Research Methods offers a guide for psychology, counseling, and education students in the use of statistics and research designs, combined with guidance on using SPSS in the course of their research. Each chapter covers a research problem, taking the student through identifying research questions and hypotheses; identifying, classifying, and operationally defining the study variables; choosing appropriate research designs; conducting power analysis; choosing an appropriate statistic for the problem; using a data set; conducting data screening and analyses (SPSS); interpreting the statistics; and writing the results related to the problem. Designed so students will know how to plan research and conduct statistical analyses using several different procedures"-- Provided by publisher.
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