Introduction to quantitative data analysis in the behavioral and social sciences / Michael J. Albers.
Material type:
TextPublication details: Hoboken, NJ : John Wiley & Sons, Inc., ©2017.Description: xiii, 219 pages : illustrations ; 24 cmISBN: - 9781119290186
- 001.422 23 Al332
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 001.422 Al332 (Browse shelf(Opens below)) | Available | 137992 |
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| 001.42 জ28গ গবেষণাপত্র অনুসন্ধান ও রচনা/ | 001.42 সু74গ গবেষনা: | 001.420285 P113 Gentle introduction to effective computing in quantitative research : | 001.422 Al332 Introduction to quantitative data analysis in the behavioral and social sciences / | 001.422 B562 Applied survey methods | 001.422 C117 Statistical consulting | 001.422 C552 Measuring agreement : |
Includes bibliographical references and index.
1. Introduction --
2. Statistics terminology --
3.Analysis issues and potential pitfalls --
4. Graphically representing data --
5. Statistical tests --
6. Overview of data analysis process --
7. Analysis of a study on reading and lighting levels --
8. Analysis of usability of an E-Commerce site --
9. Analysis of essay grading --
10. Specific analysis examples --
11. Other types of data analysis --
A. Research terminology.
The book presents the entire data analysis process as a cyclical, multiphase process and addresses the processes of exploratory analysis, decision–making for performing parametric or nonparametric analysis, and practical significance determination. In addition, the author details how data analysis is used to reveal the underlying patterns and relationships between the variables and connects those trends to the data s contextual situation.
Filling the gap in quantitative data analysis literature, this book teaches the methods and thought processes behind data analysis, rather than how to perform the study itself or how to perform individual statistical tests. With a clear and conversational style, readers are provided with a better understanding of the overall structure and methodology behind performing a data analysis as well as the needed techniques to make informed, meaningful decisions during data analysis. The book features numerous data analysis examples in order to emphasize the decision and thought processes that are best followed, and self–contained sections throughout separate the statistical data analysis from the detailed discussion of the concepts allowing readers to reference a specific section of the book for immediate solutions to problems and/or applications.
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