/ 3



Amazon cover image
Image from Amazon.com
Image from Google Jackets
Image from OpenLibrary

Business Research Methodology : With Practical Applications using SPSS and Spreadsheets /Pushpender Kumar, Anupreet Kaur Mokha

By: Contributor(s): Material type: TextTextPublication details: New Delhi: Taxman Publication, 2025.Description: xxi, 384p. ; 24cm. illustrationISBN:
  • 9789371267694
Subject(s): DDC classification:
  • 001.42 K98B
Contents:
Introduction to Research – Builds a strong conceptual foundation: Meaning, scope, and significance of research Research terminologies (concepts, variables, constructs, hypotheses, models, theories) Types of Research – Quantitative/qualitative, conceptual/empirical, fundamental/applied, cross-sectional/longitudinal Philosophical approaches (positivism, interpretivism, pragmatism) Deductive vs Inductive reasoning with frameworks and visuals Research Process – Step-by-step explanation How to conduct a literature review (steps, sources, synthesis) How to formulate research questions, with examples and common mistakes Research Design – Provides a blueprint for conducting research: Meaning and characteristics of research design Exploratory, descriptive, and experimental designs When and how each design is used in business studies Examples and structured diagrams to choose appropriate designs Data Collection – A comprehensive and application-rich unit: Measurement & Scaling Levels of measurement (nominal, ordinal, interval, ratio) Comparative scales (ranking), non-comparative scales (rating) Likert, semantic differential, Stapel scales Reliability & validity (types, measurement, examples) Survey Methods Types of Surveys – Online, telephonic, personal, mail-based Characteristics of a good survey Designing questionnaires, respondent bias, and pilot testing Sampling Techniques Concepts – Population, sampling units, sampling frame Probability Sampling – Random, stratified, systematic, cluster Non-probability sampling: convenience, purposive, quota, judgmental Sample size determination (logic, formulae, examples) Data Analysis using Spreadsheet & SPSS – Highly practical, tool-based, and skill-building: Data Preparation & Cleaning Handling missing values Detecting outliers Coding/recoding variables Classification of data Visual Presentation – Tables, line charts, bar charts, pie charts, histograms, box plots Descriptive Statistics Measures of central tendency (mean, median, mode) Measures of variation (range, IQR, variance, SD, coefficient of variation) Skewness, kurtosis, interpretation with visuals Inferential Statistics (with SPSS & Spreadsheet Procedures) – Each test includes a practical example, SPSS steps, spreadsheet method & output interpretation: One-sample Z-test & Two-sample Z-test One-sample t-test Paired-sample t-test Independent-sample t-test Chi-square tests (goodness of fit & independence) Non-parametric tests: Kolmogorov–Smirnov Mann–Whitney U Kruskal–Wallis Median test Sign test McNemar test Also includes numerical questions and practical exercises for every major concept Report Writing & Ethics – Focuses on academic writing and responsible research practices: Types of reports (contractual, project, research, evaluation, annual) Structure of a well-written research report Referencing and bibliography (with examples) Format and presentation guidelines (tables, figures, layout) Ethical issues at each research stage Rights and responsibilities of researchers, sponsors, and respondents Each chapter follows a consistent and reader-friendly design: Clear learning objectives Introductory examples for context Step-by-step explanations with flowcharts and diagrams Tables contrasting key concepts SPSS and Spreadsheet tutorials Rich visuals for data presentation and theory models Case study to encourage application Summary for quick revision MCQs, short & long answer questions Numerical questions and practical tasks for skill-building The progression ensures that students first gain conceptual clarity, then immerse themselves in application
Summary: Business Research Methodology is a NEP-aligned, practice-oriented textbook that turns research learning into a clear, step-by-step process. It covers the whole research journey—from foundational concepts and philosophical approaches to data collection, SPSS/Excel-based analysis, report writing, and ethics—across five structured units. Supported by real datasets, case studies, visuals, solved examples, and practical tasks, the book blends conceptual clarity with hands-on application. It is an ideal resource for B.Com./B.Com. (Hons.) students, research beginners, and learners preparing for dissertations, exams, internships, and early research roles.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)

Introduction to Research – Builds a strong conceptual foundation:
Meaning, scope, and significance of research
Research terminologies (concepts, variables, constructs, hypotheses, models, theories)
Types of Research – Quantitative/qualitative, conceptual/empirical, fundamental/applied, cross-sectional/longitudinal
Philosophical approaches (positivism, interpretivism, pragmatism)
Deductive vs Inductive reasoning with frameworks and visuals
Research Process – Step-by-step explanation
How to conduct a literature review (steps, sources, synthesis)
How to formulate research questions, with examples and common mistakes
Research Design – Provides a blueprint for conducting research:
Meaning and characteristics of research design
Exploratory, descriptive, and experimental designs
When and how each design is used in business studies
Examples and structured diagrams to choose appropriate designs
Data Collection – A comprehensive and application-rich unit:
Measurement & Scaling
Levels of measurement (nominal, ordinal, interval, ratio)
Comparative scales (ranking), non-comparative scales (rating)
Likert, semantic differential, Stapel scales
Reliability & validity (types, measurement, examples)
Survey Methods
Types of Surveys – Online, telephonic, personal, mail-based
Characteristics of a good survey
Designing questionnaires, respondent bias, and pilot testing
Sampling Techniques
Concepts – Population, sampling units, sampling frame
Probability Sampling – Random, stratified, systematic, cluster
Non-probability sampling: convenience, purposive, quota, judgmental
Sample size determination (logic, formulae, examples)
Data Analysis using Spreadsheet & SPSS – Highly practical, tool-based, and skill-building:
Data Preparation & Cleaning
Handling missing values
Detecting outliers
Coding/recoding variables
Classification of data
Visual Presentation – Tables, line charts, bar charts, pie charts, histograms, box plots
Descriptive Statistics
Measures of central tendency (mean, median, mode)
Measures of variation (range, IQR, variance, SD, coefficient of variation)
Skewness, kurtosis, interpretation with visuals
Inferential Statistics (with SPSS & Spreadsheet Procedures) – Each test includes a practical example, SPSS steps, spreadsheet method & output interpretation:
One-sample Z-test & Two-sample Z-test
One-sample t-test
Paired-sample t-test
Independent-sample t-test
Chi-square tests (goodness of fit & independence)
Non-parametric tests:
Kolmogorov–Smirnov
Mann–Whitney U
Kruskal–Wallis
Median test
Sign test
McNemar test
Also includes numerical questions and practical exercises for every major concept
Report Writing & Ethics – Focuses on academic writing and responsible research practices:
Types of reports (contractual, project, research, evaluation, annual)
Structure of a well-written research report
Referencing and bibliography (with examples)
Format and presentation guidelines (tables, figures, layout)
Ethical issues at each research stage
Rights and responsibilities of researchers, sponsors, and respondents
Each chapter follows a consistent and reader-friendly design:

Clear learning objectives
Introductory examples for context
Step-by-step explanations with flowcharts and diagrams
Tables contrasting key concepts
SPSS and Spreadsheet tutorials
Rich visuals for data presentation and theory models
Case study to encourage application
Summary for quick revision
MCQs, short & long answer questions
Numerical questions and practical tasks for skill-building
The progression ensures that students first gain conceptual clarity, then immerse themselves in application

Business Research Methodology is a NEP-aligned, practice-oriented textbook that turns research learning into a clear, step-by-step process. It covers the whole research journey—from foundational concepts and philosophical approaches to data collection, SPSS/Excel-based analysis, report writing, and ethics—across five structured units. Supported by real datasets, case studies, visuals, solved examples, and practical tasks, the book blends conceptual clarity with hands-on application. It is an ideal resource for B.Com./B.Com. (Hons.) students, research beginners, and learners preparing for dissertations, exams, internships, and early research roles.

English

There are no comments on this title.

to post a comment.

Find us on the map

Contact Us

RAMANUJAN COLLEGE UNIVERSITY OF DELHI, KALKAJI, NEW DELHI 110019
library@ramaanujan.du.ac.in
011-35002219
https://library.ramanujancollege.ac.in/
ramanujancollegelibrary
                                 
Customized & Maintained by Department of Library
Visitor Counter