Business Research Methods Notes
Subject Overview
Business Research Methods equips students to conduct managerial research — the research process and design, sampling and measurement scales, sampling distributions and estimation, index numbers and time series analysis, and hypothesis testing (t-test, Z-test, F-test, chi-square, ANOVA) alongside correlation and regression diagnostics. Students also prepare a mini research project. A 4-credit core theory paper.
Subject at a glance
4
Units
31
Topics
4
Credits
4
Infographics
Unit-wise Syllabus
4 units — open any unit for detailed topic-wise notes, diagrams and important exam questions
- Meaning
- objectives and process of research
- selecting and defining a research problem
- review of literature
- research design types (descriptive, diagnostic, exploratory, experimental)
- primary and secondary data sources
- questionnaire construction and design
- 1
Identify the problem
- 2
Review literature
- 3
Set objectives and hypotheses
- 4
Choose research design
- 5
Collect data
Primary and secondary
- 6
Analyse and test
- 7
Report findings
Study guide
This unit covers the research process, defining a research problem, reviewing literature, research designs (descriptive, diagnostic, exploratory, experimental), primary and secondary data and questionnaire design. Practise writing a clear research problem and objectives.
- Census vs sampling
- probability and non-probability sampling methods
- sample size and errors
- uni-dimensional and multidimensional scales
- nominal/ordinal/interval/ratio measurement
- rating/ranking/Likert/semantic differential scales
- data editing
- coding
- classification and tabulation
Likert
Agreement on a 5 or 7-point scale
Semantic differential
Between bipolar adjectives
Rating scales
Graphic or itemised
Ranking
Order of preference
Stapel
−5 to +5 around one adjective
Study guide
You study census versus sampling, probability and non-probability methods, sample size and errors, scales and levels of measurement (nominal to ratio, Likert, semantic differential) and data editing, coding and tabulation. Match each scale to the statistics it allows.
- Sampling distribution of means and proportions
- Central Limit Theorem
- point and interval estimation
- confidence intervals
- sample size determination
- index number construction and consistency tests
- base shifting/splicing/deflation
- time series components and trend analysis via least squares
Standard error of mean
σ / √n
Confidence interval (95%)
x̄ ± 1.96 × σ / √n
Sample size
n = (Z σ / E)²
Laspeyres index
Σp1q0 / Σp0q0 × 100
Fisher's ideal index
√(Laspeyres × Paasche)
Linear trend
Y = a + bX by least squares
Study guide
You study sampling distributions, the Central Limit Theorem, estimation and confidence intervals, sample size determination, index numbers and time series trend analysis. Practise confidence interval and index number problems.
- Hypothesis formulation and testing procedure
- errors in hypothesis testing
- t-test/Z-test/F-test/chi-square test/goodness of fit/ANOVA
- techniques of association of attributes
- partial and multiple correlation
- multiple regression
- testing assumptions of regression (multicollinearity, heteroscedasticity, autocorrelation)
Z-test
Mean with large sample (n ≥ 30) or known σ
Interval or ratio
t-test
Mean with small sample
Interval or ratio
F-test / ANOVA
Comparing variances or 3+ means
Interval or ratio
Chi-square
Association or goodness of fit
Counts (nominal)
Study guide
You study hypothesis testing, errors, t, Z, F, chi-square and ANOVA tests, association of attributes, partial and multiple correlation and regression assumptions (multicollinearity, heteroscedasticity, autocorrelation). Practise choosing the right test for each situation.
Why Business Research Methods Matters
Research methods are the foundation of your dissertation and of evidence-based decisions, and they are tested in UGC-NET and valued for analyst and academic careers.
How to Prepare for Business Research Methods
- Carry out a small survey and analyse it with a hypothesis test.
- Learn which statistical test suits which kind of data.
- Practise using Excel, SPSS or Python for analysis.
Business Research Methods: Frequently Asked Questions
What is a null hypothesis?
The null hypothesis is the default statement of no effect or no difference that a test tries to reject.
What is the Central Limit Theorem?
It states that the distribution of sample means approaches a normal distribution as sample size grows, regardless of the population's shape.