Research Methodology / R. Panneerselvam.

By:

Panneerselvam, R

Material type: Text

TextLanguage: English Publication details: Delhi : PHI Learning Private Limited, 2022.Edition: 2nd edDescription: xvi, 699 p. : ill. ; 24 cmISBN:

9788120349469
9788194884842 (e-book)

Uniform titles:

Research Methodology

Subject(s):

DDC classification:

23 001.42 PAN

Contents:

Preface 1. Overview of Research Methodology 2. Data Collection and Presentation 3. Review of Basic Statistical Measures 4. Design and Analysis of Experiments 5. Attitude Measurement and Scales 6. Probability Distributions 7. Sampling Methods and Distributions 8. Tests of Hypotheses 9. Nonparametric Tests 10. Basic Multivariate Analysis 11. Advanced Multivariate Analysis 12. Multidimensional Scaling and Conjoint Analysis 13. Algorithmic Research 14. Models for Industries and Public Systems 15. Simulation 16. Report Writing and Presentation 17. Introduction to SPSS Annexures • Bibliography • Answers • Index

Summary: This comprehensive text designed for MBA, MCom, MA (Economics), MA (Sociology) and PhD (Management, Commerce, Economics, and Engineering) courses continues to give complete account of concepts and statistical tools of research methodology in its Second Edition. The textbook also serves as a reference for consultants to carryout projects/consultancies in industries or service organizations. DISTINGUISHING FEATURES OF THE BOOK • Written in an easy to read style • Each technique is illustrated with sufficient number of numerical examples • Gives complete account of statistics and aspects of research methodology • Chapter 8 gives complete account of testing of hypotheses • Design and analysis of experiments, advanced multivariate analysis, multidimensional scaling and conjoint analysis, algorithmic research, models for industries and public systems, simulation are unique to this text. • Graded chapter-end questions NEW TO THIS EDITION Introduction of a chapter on SPSS (Chapter 17), is new to this edition which gives readers an idea to obtain statistics for different techniques presented in this text. The different screenshots for different modules of SPSS applied to suitable example problems on sample session for data creation, reports, descriptive statistics, tables, compare means, general linear model, correlation, simple regression, nonparametric tests, classify, data reduction and graphs help readers to understand the features of SPSS. AUDIENCE • MBA • MCom • MA (Economics) • MA (Sociology) and • PhD (Management, Commerce, Economics, and Engineering)

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Text Books	CUTN Central Library Generalia	Non-fiction	001.42 PAN (Browse shelf(Opens below))	Available		47812

Preface
1. Overview of Research Methodology
2. Data Collection and Presentation
3. Review of Basic Statistical Measures
4. Design and Analysis of Experiments
5. Attitude Measurement and Scales
6. Probability Distributions
7. Sampling Methods and Distributions
8. Tests of Hypotheses
9. Nonparametric Tests
10. Basic Multivariate Analysis
11. Advanced Multivariate Analysis
12. Multidimensional Scaling and Conjoint Analysis
13. Algorithmic Research
14. Models for Industries and Public Systems
15. Simulation
16. Report Writing and Presentation
17. Introduction to SPSS
Annexures • Bibliography • Answers • Index

This comprehensive text designed for MBA, MCom, MA (Economics), MA (Sociology) and PhD (Management, Commerce, Economics, and Engineering) courses continues to give complete account of concepts and statistical tools of research methodology in its Second Edition. The textbook also serves as a reference for consultants to carryout projects/consultancies in industries or service organizations.

DISTINGUISHING FEATURES OF THE BOOK

• Written in an easy to read style
• Each technique is illustrated with sufficient number of numerical examples
• Gives complete account of statistics and aspects of research methodology
• Chapter 8 gives complete account of testing of hypotheses
• Design and analysis of experiments, advanced multivariate analysis, multidimensional scaling and conjoint analysis, algorithmic research, models for industries and public systems, simulation are unique to this text.
• Graded chapter-end questions

NEW TO THIS EDITION

Introduction of a chapter on SPSS (Chapter 17), is new to this edition which gives readers an idea to obtain statistics for different techniques presented in this text. The different screenshots for different modules of SPSS applied to suitable example problems on sample session for data creation, reports, descriptive statistics, tables, compare means, general linear model, correlation, simple regression, nonparametric tests, classify, data reduction and graphs help readers to understand the features of SPSS.

AUDIENCE

• MBA
• MCom
• MA (Economics)
• MA (Sociology) and
• PhD (Management, Commerce, Economics, and Engineering)

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