Taxmann’s Business Research Methods: A Hands-on Approach with SPSS

Description

In today’s data-intensive business environment, research methodology is at the heart of informed decision-making. Business Research Methods – A Hands-on Approach with SPSS simplifies the entire research process—starting from conceptual foundations and proceeding through practical data analysis—by blending step-by-step instructions with examples. Authored in clear, accessible language, the book is primarily structured to help learners gain confidence in designing, conducting, and interpreting business research projects using SPSS, one of the most widely adopted statistical packages in academia and industry.

This book is intended for the following audience:

MBA Students and Business School Learners – Offers a systematic approach to developing solid research proposals, dissertations, and projects
Undergraduate Students in Commerce, Management, and Social Sciences – Provides foundational research knowledge, bridging theory and real-world applications.
Research Scholars & Early-career Professionals – Acts as a dependable handbook for developing and refining research methodology skills with a focus on statistical tools
Instructors & Faculty – A resourceful text for classroom teaching, enabling interactive sessions through SPSS-based hands-on exercises
The Present Publication is the Latest Edition, authored by Prof. Pushpender Kumar, Dr Anupreet Kaur Mokha, and Dr Sumit Kumar Sharma.
The coverage of the book is as follows:

Foundations of Business Research
Definitions, scope, and quality parameters of effective research
Research Process & Strategies
Exploratory, descriptive, and explanatory research designs; quantitative vs. qualitative strategies
Conceptual Framework
Propositions, hypothesis development, operationalising constructs, and variable classifications (independent, dependent, moderating)
Measurement & Scaling
Detailed discussion on nominal, ordinal, interval, and ratio scales, along with reliability and validity checks
Data Collection & Sampling
Best practices for designing questionnaires, sampling methods (probability and non-probability), and survey/census distinctions
Data Presentation & Descriptive Analysis
Tabular and graphical methods (line graphs, pie charts, bar charts, histograms, boxplots) along with central tendency, variability, skewness, and kurtosis
Hypothesis Testing
Parametric (t-tests, ANOVA) and non-parametric procedures (Chi-square, Mann-Whitney U, Kruskal-Wallis)
Advanced Statistical Techniques
Correlation, linear and multiple regression, factor analysis, discriminant analysis, cluster analysis, and structural equation modelling
Report Writing & Ethical Considerations
Detailed guidelines on effectively presenting findings, maintaining ethical standards at all research stages, and shaping your results into an accessible and ethically sound report