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  2. Mediation (statistics) - Wikipedia

    en.wikipedia.org/wiki/Mediation_(statistics)

    In statistics, a mediation model seeks to identify and explain the mechanism or process that underlies an observed relationship between an independent variable and a dependent variable via the inclusion of a third hypothetical variable, known as a mediator variable (also a mediating variable, intermediary variable, or intervening variable ). [ 1]

  3. Design of experiments - Wikipedia

    en.wikipedia.org/wiki/Design_of_experiments

    Manipulation checks allow investigators to isolate the chief variables to strengthen support that these variables are operating as planned. One of the most important requirements of experimental research designs is the necessity of eliminating the effects of spurious, intervening, and antecedent variables. In the most basic model, cause (X ...

  4. Edward C. Tolman - Wikipedia

    en.wikipedia.org/wiki/Edward_C._Tolman

    Edward C. Tolman. Edward Chace Tolman (April 14, 1886 – November 19, 1959) was an American psychologist and a professor of psychology at the University of California, Berkeley. [ 1][ 2] Through Tolman's theories and works, he founded what is now a branch of psychology known as purposive behaviorism. Tolman also promoted the concept known as ...

  5. Construct (philosophy) - Wikipedia

    en.wikipedia.org/wiki/Construct_(philosophy)

    A hypothetical construct differs from an intervening variable in that it has properties and implications which have not been demonstrated in empirical research. These serve as a guide to further research. An intervening variable, on the other hand, is a summary of observed empirical findings.

  6. Causation (sociology) - Wikipedia

    en.wikipedia.org/wiki/Causation_(sociology)

    The identification of intervening variables and further replications of studies can also strengthen claims of causal inference. Different methodological approaches make tradeoffs between statistical rigor (the ability to confidently attribute change to one variable or cause), qualitative depth, and finances available for research.

  7. Spurious relationship - Wikipedia

    en.wikipedia.org/wiki/Spurious_relationship

    The term "spurious relationship" is commonly used in statistics and in particular in experimental research techniques, both of which attempt to understand and predict direct causal relationships (X → Y). A non-causal correlation can be spuriously created by an antecedent which causes both (W → X and W → Y). Mediating variables, (X → W ...

  8. Antecedent variable - Wikipedia

    en.wikipedia.org/wiki/Antecedent_variable

    Antecedent variable. In statistics and social sciences, an antecedent variable is a variable that cannot help to explain the apparent relationship (or part of the relationship) between other variables that are nominally in a cause and effect relationship. In a regression analysis, an antecedent variable would be one that influences both the ...

  9. Designing Social Inquiry - Wikipedia

    en.wikipedia.org/wiki/Designing_Social_Inquiry

    Designing Social Inquiry. 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 ...