Quantitative methodology : selecting an appropriate model for multiple outcomes/multinomial logit /
This research methods case study introduces multinomial logit regression, a quantitative framework employed when the dependent variable is categorized into unordered multiple outcomes. The case is organized into five parts: (a) personal context for the research, (b) mathematical overview, (c) backgr...
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
London :
SAGE Publications Ltd,
2017.
|
| Series: | SAGE Research Methods. Cases.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | This research methods case study introduces multinomial logit regression, a quantitative framework employed when the dependent variable is categorized into unordered multiple outcomes. The case is organized into five parts: (a) personal context for the research, (b) mathematical overview, (c) background and information from a published article to demonstrate how multinomial logit can be applied for research purposes, (d) extensions and considerations for future research, and (e) conclusion. |
|---|---|
| Physical Description: | 1 online resource : illustrations. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781526423962 1526423960 |