Empirical Research Methods (revised 2017)
by
1
- 1 Technische Universiteit Delft
To achieve understanding of empirical research methods and obtain practical experience with quantitative data analysis methods.
MAIN TOPICS OF STUDY
The main topics of study considered in light of the above learning outcomes are:- Research philosophy (e.g. positivism, empiricism, naturalism)
- Formulating empirical research questions and conceptual research models
- Causality effects and relationships
- Validity and Reliability
- Scales of measurement (e.g. nominal, ordinal, interval, ratio)
- Sampling methods (e.g. experiment, survey, observations) and measure instruments (e.g. Likert scales, semantic differential, event versus time sampling)
- Experimental design (e.g. within and between-subjects, factorial design, counter-balancing, Latin square)
- Biases in empirical research approaches (e.g. confounding variables, statistical power)
- Data preparation (e.g. standardization of data, reliability analysis, Inter-rater reliability)
- Hypothesis testing, t-test, (M)ANOVA, correlation, regression analysis
- Non-parametric approaches to data analysis
Research Design
Publisher:
Technische Universiteit Delft
Technische Universiteit Delft
{
- author = {Willem-Paul Brinkman},
- title = {Empirical Research Methods (revised 2017)},
- publisher = {Technische Universiteit Delft},
Willem-Paul Brinkman Empirical Research Methods (revised 2017) Technische Universiteit Delft
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markets
scientific research
Personal skills
Research skills
Problem analysis, comparison, differentiation, classification, appraisal
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