Multiple Regression Analysis: Key To Social Science Research

Kunal Gaurav

ISBN 10: 3656081654 / ISBN 13: 9783656081654

Published by GRIN Verlag, 2011

About this Item

Druck auf Anfrage Neuware - Printed after ordering - Seminar paper from the year 2010 in the subject Economics - Statistics and Methods, grade: A, , course: PhD, language: English, abstract: This is well known fact that the success of social science research heavily depends upon the selection of research tools and its effective utilization. Researchers often come across the situations where they want to study the impact of one variable on the other variable viz. impact of income on expenditure. Although we have freedom to select research tools for multivariate analysis as wide range of research tools are available, multiple regression analysis allows us to determine the effect of more than one independent variable on dependent variable. This term paper talks about the concept of multiple regression analysis, its assumptions, application, and its limitations to the social science research. The paper also briefs about various statistics associated with multiple regression analysis.

Seller Inventory # 9783656081654

Bibliographic Details

• Title: Multiple Regression Analysis: Key To Social Science Research
• Publisher: GRIN Verlag
• Publication Date: 2011
• Language: English
• ISBN 10: 3656081654
• ISBN 13: 9783656081654
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 210W x 148H x 2D millimeters 210 millimeters width by 148 millimeters height by 2 millimeters depth
• Weight: 40 grams

About this title

Synopsis

Seminar paper from the year 2010 in the subject Economics - Statistics and Methods, grade: A, , course: PhD, language: English, abstract: This is well known fact that the success of social science research heavily depends upon the selection of research tools and its effective utilization. Researchers often come across the situations where they want to study the impact of one variable on the other variable viz. impact of income on expenditure. Although we have freedom to select research tools for multivariate analysis as wide range of research tools are available, multiple regression analysis allows us to determine the effect of more than one independent variable on dependent variable. This term paper talks about the concept of multiple regression analysis, its assumptions, application, and its limitations to the social science research. The paper also briefs about various statistics associated with multiple regression analysis.

About the Author

A rare amalgamation of an educator, an administrator and a researcher, Dr. Kunal Gaurav has earned his Doctorate in Business Administration from Aligarh Muslim University (AMU), Aligarh, India. Aligarh Muslim University (AMU) has the distinction of being one of India's most renowned and iconic Higher Education Institutions, occupying a crucial place in the emergence and preservation of both cultural and intellectual heritage of India. His doctoral research was intended to investigate the Impact of Relationship Marketing and Perceived Service Quality on Customer Loyalty in Indian Automobile Industry. He is an agriculture science graduate and holds MBA (Gold Medalist) with specialization in marketing management. He is an AIMA - Accredited Management Teacher and currently working as Professor in the area of Marketing & Associate Dean (Strategic Research) at ICBM - School of Business Excellence, Hyderabad. ICBM - School of Business Excellence, Hyderabad is one of the top business schools in the country blessed with ACBSP accreditation in addition to the approval from AICTE, Ministry of HRD, and Govt. of India. He has published a number of books in the area of General Management, Brand Management and Social Entrepreneurship. Apart from research article publications in various refereed journals he has presented several papers at national and international conferences. He also holds the honorary position of Senior Vice President of Operations - Internationally Accepted Marketing StandardsBoard (IAMSB), International Institute of Marketing Professionals (IIMP), Canada.