| Description |
1 online resource (88 pages) : illustrations |
| Series |
Mastering business research methods |
|
Mastering business research methods
|
| Contents |
An introduction to classical test theory and quantitative survey data -- Methodological assumptions, reliability and validity -- Basic components of analysing quantitative survey data -- Conducting classical test theory analyses -- Examples of analysis using classical test theory -- Conclusions |
| Summary |
Part of SAGE's Mastering Business Research Methods, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis. In Analysing Quantitative Survey Data for Business and Management Students, Jeremy Dawson introduces you to the key elements of analysing quantitative survey data using classical test theory, the measurement theory that underlies the techniques described in the book. The methodological assumptions, basic components and strengths and limitations of this analysis are explained and with the help of illustrative examples, you are guided through how to conduct the key procedures involved, including reliability analysis, exploratory and confirmatory factor analysis. Ideal for Business and Management students reading for a Master's degree, each book in the series may also serve as reference books for doctoral students and faculty members interested in the method. Watch the editors introduce the Mastering Business Research Methods series and tell you more about the first three books |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Description based on XML content |
| Subject |
Business -- Research -- Methodology
|
|
Business -- Research -- Statistical methods
|
|
Sampling (Statistics)
|
|
Surveys -- Methodology
|
|
Business -- Research -- Methodology.
|
|
Sampling (Statistics)
|
|
Surveys -- Methodology.
|
| Form |
Electronic book
|
| LC no. |
2016935698 |
| ISBN |
1473907500 |
|
1473907519 |
|
1473983312 |
|
9781473907508 |
|
9781473907515 |
|
9781473983311 |
|
