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Quantitative methodology : selecting an appropriate model for multiple outcomes/multinomial logit / Andy Sharma.
- Format:
- Book
- Author/Creator:
- Sharma, Andy, author.
- Series:
- SAGE Research Methods. Cases.
- SAGE Research Methods. Cases
- Language:
- English
- Subjects (All):
- Quantitative research--Methodology--Case studies.
- Quantitative research.
- Physical Description:
- 1 online resource : illustrations.
- Place of Publication:
- London : SAGE Publications Ltd, 2017.
- 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.
- Notes:
- Includes bibliographical references and index.
- Description based on XML content.
- ISBN:
- 9781526423962 (ebook) :
- 9781526423962
- OCLC:
- 984156591
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