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It is defined as. where a is the number of samples where types A and B are both present, b is where type A is present but not type B, c is the number of samples where type B is present but not type A and d is the sample count where neither type A nor type B are present. Q varies in value between -1 and +1.
Coefficient of colligation - Yule's Y. Coefficient of consistency. Coefficient of raw agreement. Conger's Kappa. Contingency coefficient – Pearson's C. Cramér's V. Dice's coefficient. Fleiss' kappa. Goodman and Kruskal's lambda.
In statistics, qualitative comparative analysis (QCA) is a data analysis based on set theory to examine the relationship of conditions to outcome. QCA describes the relationship in terms of necessary conditions and sufficient conditions. [1] The technique was originally developed by Charles Ragin in 1987 [2] to study data sets that are too ...
Sample size determination. Sample size determination or estimation is the act of choosing the number of observations or replicates to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a ...
Decide which dependent variables or summary measures are allowed. For instance, when considering a meta-analysis of published (aggregate) data: Differences (discrete data) Means (continuous data) Selection of a meta-analysis model, e.g. fixed effect or random effects meta-analysis.
Contingency table. In statistics, a contingency table (also known as a cross tabulation or crosstab) is a type of table in a matrix format that displays the multivariate frequency distribution of the variables. They are heavily used in survey research, business intelligence, engineering, and scientific research.
Categorical variable. 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]
Conjoint analysis is a survey-based statistical technique used in market research that helps determine how people value different attributes (feature, function, benefits) that make up an individual product or service. The objective of conjoint analysis is to determine what combination of a set of attributes is most influential on respondent ...