Analysing Quantitative Data: Variable based and Case based Approaches to Nonexperimental Datasets by Raymond A Kent

By:

Raymond A Kent [Author]

Publication details: Sage 2015 New DelhiDescription: xix, 349 pages; Illustrations: 22 cmISBN:

9781446273418

DDC classification:

300.721 KEN

Contents:

Part 1: Quantitative data: structure, preparation and analysis approaches Chapter 1: Data structure Chapter 2: Data preparation Chapter 3: Approaches to data analysis Part 2: Variable-based analyses Chapter 4: Univariate analysis Chapter 5: Bivariate analysis Chapter 6: Multivariate analysis Part 3: Case-based analyses Chapter 7: Set-theoretic methods and configurational data analysis Chapter 8: Cluster and discriminant analysis Part 4: Comparing and communicating results Chapter 9: Comparing and mixing methods Chapter 10: Evaluating hypotheses, explaining and communicating results

Abstract: This innovative book provides a fresh take on quantitative data analysis within the social sciences. It presents variable-based and case-based approaches side-by-side encouraging you to learn a range of approaches and to understand which is the most appropriate for your research. Using two multidisciplinary non-experimental datasets throughout, the book demonstrates that data analysis is really an active dialogue between ideas and evidence. Each dataset is returned to throughout the chapters enabling you to see the role of the researcher in action; it also showcases the difference between each approach and the significance of researchers’ decisions that must be made as you move through your analysis.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Book	Indian Institute of Management Visakhapatnam		300.721 KEN (Browse shelf(Opens below))	Available		001592
Book	Indian Institute of Management Visakhapatnam General Stacks	Non-fiction	300.721 KEN (Browse shelf(Opens below))	Available		001273

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Previous								Next
Previous	300.72 PHA Research methodology:	300.72 SPE Research designs, Series: Quantitative Applications in the Social Sciences	300.721 FLI Introducing Research Methodology: A Beginner's Guide to Doing a Research Project	300.721 KEN Analysing Quantitative Data: Variable based and Case based Approaches to Nonexperimental Datasets	300.723 AUS Factorial survey experiments	300.723 DAW Analysing Quantitative Survey Data: for Business and Management Students/	300.723 ROB Designing Quality Survey Questions/	Next

Part 1: Quantitative data: structure, preparation and analysis approaches
Chapter 1: Data structure Chapter 2: Data preparation Chapter 3: Approaches to data analysis
Part 2: Variable-based analyses
Chapter 4: Univariate analysis Chapter 5: Bivariate analysis Chapter 6: Multivariate analysis
Part 3: Case-based analyses
Chapter 7: Set-theoretic methods and configurational data analysis Chapter 8: Cluster and discriminant analysis
Part 4: Comparing and communicating results
Chapter 9: Comparing and mixing methods Chapter 10: Evaluating hypotheses, explaining and communicating results

This innovative book provides a fresh take on quantitative data analysis within the social sciences. It presents variable-based and case-based approaches side-by-side encouraging you to learn a range of approaches and to understand which is the most appropriate for your research.

Using two multidisciplinary non-experimental datasets throughout, the book demonstrates that data analysis is really an active dialogue between ideas and evidence. Each dataset is returned to throughout the chapters enabling you to see the role of the researcher in action; it also showcases the difference between each approach and the significance of researchers’ decisions that must be made as you move through your analysis.

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