Normal view MARC view ISBD view

Conducting quantitative research in education

By:

Roni, Saiyidi Mat

Contributor(s):

Material type: Text

TextPublication details: Springer Switzerland 2020Description: viii, 201 pISBN:

9789811391347

Subject(s):

DDC classification:

658.3124 RON

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.

List(s) this item appears in: Operation & quantitative Techniques | Public Policy & General Management

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	658.3124 RON (Browse shelf(Opens below))	1	Available		003519

Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: Operations Management & Quantitative Techniques Close shelf browser (Hides shelf browser)

Previous				No cover image available				Next
Previous	658.1554 PHI Pricing and revenue optimization	658.159 MIT Hybrid annuity model (HAM) of hybrid public-private partnership projects: contractual, financing, tax and accounting discussions	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	Next

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.

There are no comments on this title.

to post a comment.