Classification of Research

Lecture 3 provides a comprehensive taxonomic classification of research based on research purpose, time horizons, and investigative environments. By investigative purpose, research is categorized into exploratory studies, descriptive studies, and explanatory or causal studies. Exploratory research is undertaken when little is known about a phenomenon, utilizing focus groups, qualitative interviews, and pilot studies to formulate hypotheses. Descriptive research profiles the characteristics of variables, groups, or organizational phenomena systematically, answering who, what, when, and where questions. Explanatory research establishes cause-and-effect relationships by demonstrating how changes in an independent variable produce shifts in a dependent variable. Regarding time dimensions, the lecture examines cross-sectional designs, which gather data at a single point in time, and longitudinal designs, which track phenomena over extended periods through time-series, cohort studies, and recurring panel studies. Survey methodology principles are explored, contrasting face-to-face personal interviews, intercept surveys, and self-administered questionnaires. The curriculum examines sampling design fundamentals, distinguishing probability sampling methods from non-probability sampling approaches. Detailed discussions of probability sampling techniques, including simple random, systematic, stratified, and cluster sampling, explain sampling error mitigation. Non-probability sampling strategies, such as convenience sampling, purposive judgment sampling, quota sampling, and snowball sampling, are critically evaluated. Experimental research designs are analyzed with focus on internal validity control, external validity generalization, and manipulation of independent variables. True experimental designs, quasi-experimental designs, and pre-experimental arrangements are contrasted regarding treatment randomization and confounding control. Students explore non-reactive research methods, examining unobtrusive measures, physical traces, content analysis, and secondary archival data utilization. Field research and observational studies are investigated to capture naturalistic human behavior, participant observation dynamics, and qualitative field notes. Historical comparative research methodologies illustrate how archival primary sources, oral histories, and comparative historical analyses generate deep contextual understanding. Focus group discussions and qualitative interviewing techniques are evaluated for exploratory depth, group synergy, and moderator facilitation dynamics. Data transformation workflows, including categorical coding, data editing, missing value imputation, and scale index construction, are systematically outlined. Quantitative data presentation guidelines detail the construction of one-way frequency tables, bivariate contingency tables, and graphical displays.