เปรียบเทียบวิธี

	Factor Analysis	เทคนิคตารางรายการ (Repertory Grid Technique)	การวิเคราะห์แก่นสาระ
สาขาวิชา	สถิติการวิจัย	จิตวิทยา	การวิจัยเชิงคุณภาพ
ตระกูล	Process / pipeline	Hypothesis test	Process / pipeline
ปีกำเนิด	1931	1955	2006
ผู้ริเริ่ม	Louis Leon Thurstone	George Kelly	Virginia Braun and Victoria Clarke
ประเภท	Method	Qualitative-quantitative hybrid	Method
แหล่งต้นตำรับ	Thurstone, L. L. (1947). Multiple Factor Analysis. University of Chicago Press.	Kelly, G. A. (1955). The psychology of personal constructs. Norton.	Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
ชื่อเรียกอื่น	EFA, CFA, latent variable modeling	Rep Grid, Repertory Grid Test, Kelly Grid	TA, Reflexive Thematic Analysis
ที่เกี่ยวข้อง	3	1	3
สรุป	Factor analysis is a statistical technique for identifying latent (unobserved) dimensions underlying observed variables, developed by Louis Leon Thurstone in the 1930s and formalized by Jöreskog (1969). Exploratory factor analysis (EFA) discovers unknown factor structure from data; confirmatory factor analysis (CFA) tests hypothesized relationships between observed and latent variables. Essential in psychometrics (test development), organizational research (measuring constructs like leadership style), and biomedicine (identifying disease subtypes), factor analysis reduces dimensionality while revealing conceptual organization in multivariate data.	The Repertory Grid is a qualitative-quantitative method derived from Personal Construct Theory that elicits how individuals construe (interpret and evaluate) a domain of interest—people, concepts, events, or objects—through their own idiosyncratic dimensions or 'constructs.' Introduced by George Kelly in 1955, the method generates a grid of elements (e.g., people) rated along personally meaningful bipolar constructs, revealing cognitive structures, values, and reasoning patterns without imposing researcher-defined categories.	Thematic Analysis (TA) is a qualitative research methodology for identifying, analyzing, and reporting patterns (themes) in qualitative data. Developed systematically by Virginia Braun and Victoria Clarke (2006), TA is flexible and accessible, applicable across diverse theoretical frameworks and data types, making it one of the most widely used qualitative methods in psychology, health research, and social sciences.