ScholarGate
Asszisztens

Módszerek összehasonlítása

Tekintse át a kiválasztott módszereket egymás mellett; az eltérő sorok kiemelve jelennek meg.

Faktoranalízis skáladekompozícióhoz×Likert-skála-konstrukció×
TudományterületPszichometriaPszichometria
MódszercsaládProcess / pipelineProcess / pipeline
Keletkezés éve19471932
MegalkotóLouis ThurstoneRensis Likert
TípusExploratory factor analysis methodologySummated rating scale methodology
AlapműThurstone, L. L. (1947). Multiple-Factor Analysis: A Development and Expansion of the Vectors of Mind (2nd ed.). Chicago: University of Chicago Press. ISBN: 9780226797557Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22(140), 1-55. link ↗
Alternatív nevekExploratory factor analysis, EFA for scale development, Factorial structure analysisLikert summated rating scale, Summated rating scale construction
Kapcsolódó55
ÖsszefoglalóExploratory factor analysis (EFA) is a statistical method for discovering the underlying dimensional structure of a set of items or variables. Pioneered by Louis Thurstone in the mid-20th century, EFA is widely used to develop and validate psychometric scales by identifying groups of items that correlate together, thereby revealing latent dimensions of the construct being measured. The method reduces item sets to a smaller number of interpretable factors.Likert scale construction is a systematic methodology for developing attitude measurement instruments using summated rating scales. Introduced by Rensis Likert in 1932, it enables researchers to quantify latent constructs such as attitudes, beliefs, and psychological states by aggregating responses across multiple items. The method remains foundational to quantitative social and health sciences research.
ScholarGateAdatkészlet
  1. v1
  2. 3 Források
  3. PUBLISHED
  1. v1
  2. 3 Források
  3. PUBLISHED

Ugrás a kereséshez Diák letöltése

ScholarGateMódszerek összehasonlítása: Factor Analysis for Scale Development · Likert Scale Construction. Letöltve 2026-06-17, forrás: https://scholargate.app/hu/compare