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Qualitative research is a type of research that aims to gather and analyse non-numerical (descriptive) data in order to gain an understanding of individuals' social reality, including understanding their attitudes, beliefs, and motivation.
Social research methodologies can be classified as quantitative and qualitative. [1] Quantitative designs approach social phenomena through quantifiable evidence, and often rely on statistical analyses of many cases (or across intentionally designed treatments in an experiment) to create valid and reliable general claims.
Qualitative methods might be used to understand the meaning of the conclusions produced by quantitative methods. Using quantitative methods, it is possible to give precise and testable expression to qualitative ideas. This combination of quantitative and qualitative data gathering is often referred to as mixed-methods research. [14]
In statistics, a categorical variable (also called qualitative variable) is a variable that can take on one of a limited, and usually fixed, number of possible values, assigning each individual or other unit of observation to a particular group or nominal category on the basis of some qualitative property. [1]
Human factors, human work capital is important issue that deals with qualitative properties. Some common aspects are work, motivation, general participation, etc. Although all of these aspects are not measurable in terms of quantitative criteria, the general overview of them could be summarized as a quantitative property.
Analytic induction is a research strategy in sociology aimed at systematically developing causal explanations for types of phenomena. It was first outlined by Florian Znaniecki in 1934. He contrasted it with the kind of enumerative induction characteristic of statistical analysis.
These include Gini's index of mutability, [13] Simpson's measure of diversity, [14] Bachi's index of linguistic homogeneity, [15] Mueller and Schuessler's index of qualitative variation, [16] Gibbs and Martin's index of industry diversification, [17] Lieberson's index. [18] and Blau's index in sociology, psychology and management studies. [19]
Designing Social Inquiry: Scientific Inference in Qualitative Research (or KKV) is an influential 1994 book written by Gary King, Robert Keohane, and Sidney Verba that lays out guidelines for conducting qualitative research. [1] The central thesis of the book is that qualitative and quantitative research share the same "logic of inference."