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  2. Multitrait-multimethod matrix - Wikipedia

    en.wikipedia.org/wiki/Multitrait-multimethod_matrix

    The multitrait-multimethod (MTMM) matrix is an approach to examining construct validity developed by Campbell and Fiske (1959). [1] It organizes convergent and discriminant validity evidence for comparison of how a measure relates to other measures.

  3. Holtzman Inkblot Technique - Wikipedia

    en.wikipedia.org/wiki/Holtzman_Inkblot_Technique

    (R) score 1 when subject returns inkblot to examiner without giving a scorable response; otherwise score 0 3: Location (L) tendency to break down blot into smaller fragments. score 0=use of whole blot, 1=large area, 2=smaller area 4: Space (S) score 1=true figure-ground reversals; score 0 otherwise 5: Form Definiteness (FD)

  4. Validity (statistics) - Wikipedia

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

    Validity is the main extent to which a concept, conclusion, or measurement is well-founded and likely corresponds accurately to the real world. [1] [2] The word "valid" is derived from the Latin validus, meaning strong.

  5. Lilliefors test - Wikipedia

    en.wikipedia.org/wiki/Lilliefors_test

    Lilliefors test is a normality test based on the Kolmogorov–Smirnov test.It is used to test the null hypothesis that data come from a normally distributed population, when the null hypothesis does not specify which normal distribution; i.e., it does not specify the expected value and variance of the distribution. [1]

  6. Convergent validity - Wikipedia

    en.wikipedia.org/wiki/Convergent_validity

    Convergent validity in the behavioral sciences refers to the degree to which two measures that theoretically should be related, are in fact related. [1] Convergent validity, along with discriminant validity, is a subtype of construct validity.

  7. General Aptitude Test Battery - Wikipedia

    en.wikipedia.org/wiki/General_Aptitude_Test_Battery

    The report similarly examined questions of test bias (finding some bias in favor of Blacks), validity (finding lower validity, average r = .25 to .35, than reported elsewhere, and that this was primarily due to methodological differences).

  8. Teens spend over 1 hour on phones during school hours, new ...

    www.aol.com/teens-spend-over-1-hour-171632763.html

    Teens aren't just sneaking quick glances at their phones during class.They're spending an average of 1.5 hours on them every school day, with 25% of students logging on for more than two hours ...

  9. Confirmatory factor analysis - Wikipedia

    en.wikipedia.org/wiki/Confirmatory_factor_analysis

    In statistics, confirmatory factor analysis (CFA) is a special form of factor analysis, most commonly used in social science research. [1] It is used to test whether measures of a construct are consistent with a researcher's understanding of the nature of that construct (or factor).