Causal analysis is the field of experimental design and statistical analysis pertaining to establishing cause and effect. Exploratory causal analysis...

for causal discovery in 1990. Many recent causal discovery algorithms follow the Spirtes-Glymour approach to verification. Exploratory causal analysis, also...

research Causal research (also referred to as explanatory research) Exploratory research or formulative research: The objective of exploratory research...

Causal layered analysis (CLA) is a future research theory that integrates various epistemic modes, creates spaces for alternative futures, and consists...

all events in the universe, including human decisions and actions, are causally inevitable. Deterministic theories throughout the history of philosophy...

Exploratory engineering is a term coined by K. Eric Drexler to describe the process of designing and analyzing detailed hypothetical models of systems...

which are also said to be causal factors for it, and all lie in its past. An effect can in turn be a cause of, or causal factor for, many other effects...

components analysis and exploratory factor analysis – Definitions, differences and choices For this reason, Brown (2009) recommends using factor analysis when...

Systems analysis is "the process of studying a procedure or business to identify its goal and purposes and create systems and procedures that will efficiently...

estimation of threshold parameters. Both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are employed to understand shared variance...

latent variables and the indicators. Exploratory and confirmatory factor analysis models, for example, focus on the causal measurement connections, while path...

Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data...

Trend analysis is the widespread practice of collecting information and attempting to spot a pattern. In some fields of study, the term has more formally...

most prominent of these techniques is the analysis of concepts, known as conceptual analysis. While analysis is characteristic of the analytic tradition...

with scenario planning leads to plausible scenario storylines because the causal relationship between factors can be demonstrated. These cases, in which...

limitations that have been alleviated by modern methods of causal analysis, based on causal diagrams and counterfactual logic. The source of these difficulties...

applies lessons from regression-oriented analysis to qualitative research, arguing that the same logics of causal inference can be used in both types of...

Regression analysis Spearman's rank correlation coefficient Student's t-test Time series analysis Conjoint Analysis Exploratory data analysis (EDA) is an...

recording before the analysis can take place. Software packages such as SPSS and R are typically used for this purpose. Causal relationships are studied...

political science. Analysis of data from an observational study is guided by the study protocol, although exploratory data analysis may be useful for generating...

involve tasks such as data cleaning, data visualization, and exploratory data analysis to gain insights into the data and develop hypotheses about relationships...

Dynamic causal modeling (DCM) is a framework for specifying models, fitting them to data and comparing their evidence using Bayesian model comparison....

statistics, correlation or dependence is any statistical relationship, whether causal or not, between two random variables or bivariate data. Although in the...

anticipatory methods include, the delphi method, causal layered analysis, environmental scanning, morphological analysis, and scenario planning. The Delphi method...

A study of corporate data analysts found two challenges to exploratory time series analysis: discovering the shape of interesting patterns, and finding...

a data exploratory technique. Although WGCNA incorporates traditional data exploratory techniques, its intuitive network language and analysis framework...

mentions four ways of classifying user research. Generative research or exploratory research is done to understand and define the problems to solve for users...

Stebbins, Robert A. (2001) Exploratory Research in the Social Sciences. Thousand Oaks, CA: Sage. Strauss, A. (1987). Qualitative analysis for social scientists...

research is particularly promising in terms of exploratory biomedical research, as data-driven analysis can move forward more quickly than hypothesis-driven...

on Matrix Analysis and Applications. 30 (3): 1033–1066. doi:10.1137/070690729. Vasilescu, M.A.O.; Kim, E.; Zeng, X.S. (2021), "CausalX: Causal eXplanations...