Conducting quantitative research in education
Material type:
TextPublication details: Switzerland Springer 2020 Description: viii, 201 pISBN: 9789811391347Subject(s): Quantitative research | Education--Research--Methodology | Management--Study and teachingDDC classification: 658.3124 Summary: About this book
This book provides a clear and straightforward guide for all those seeking to conduct quantitative research in the field of education, using primary research data samples. While positioned as less powerful and somehow inferior, non-parametric tests can be very useful where the research can only be designed to accommodate data structure which is ordinal, or scale but violates a normality assumption, which is required for parametric tests. Non-parametric data are a staple of educational research, and as such, it is essential that educational researchers learn how to work with these data with confidence and rigour.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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Indian Institute of Management LRC General Stacks | Operations Management & Quantitative Techniques | 658.3124 RON (Browse shelf(Opens below)) | 1 | Available | 003519 |
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| 658.1554 BOD Segmentation, revenue management and pricing analytics | 658.1554 PHI Pricing and revenue optimization | 658.3 EDW Predictive HR analytics: mastering the HR metric | 658.3124 RON Conducting quantitative research in education | 658.3125 MUR Performance appraisal and management | 658.32 NEW Compensation | 658.4 BAR Gaining and sustaining competitive advantage |
About this book
This book provides a clear and straightforward guide for all those seeking to conduct quantitative research in the field of education, using primary research data samples. While positioned as less powerful and somehow inferior, non-parametric tests can be very useful where the research can only be designed to accommodate data structure which is ordinal, or scale but violates a normality assumption, which is required for parametric tests. Non-parametric data are a staple of educational research, and as such, it is essential that educational researchers learn how to work with these data with confidence and rigour.
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