Validation of Psychometric Instruments with Classical Test Theory in Social and Health Sciences: A practical guide

被引:5
作者
Lopez-Pina, Jose-Antonio [1 ]
Veas, Alejandro [2 ]
机构
[1] Univ Murcia, Dept Basic Psychol & Methodol, Murcia, Spain
[2] Univ Murcia, Dept Dev & Educ Psychol, Murcia, Spain
来源
ANALES DE PSICOLOGIA | 2024年 / 40卷 / 01期
关键词
Pyshometric studies; Reliability; Validity; Factor; Factor analysis; CONFIRMATORY FACTOR-ANALYSIS; ITEM FACTOR-ANALYSIS; MEASUREMENT INVARIANCE; COEFFICIENT ALPHA; RELIABILITY GENERALIZATION; MAXIMUM-LIKELIHOOD; SCALE RELIABILITY; MONTE-CARLO; MODEL; COVARIANCE;
D O I
10.6018/analesps.583991
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
In recent years, there has been a significant rise in the number of psychometric studies, together with crucial statistical advances for validity and reliability measures. Given the importance of providing accurate procedures both in methodology and score interpretation of tests and/or measurement scales, the editors-in-chief of the journal Annals of Psychology have drafted this guide to address the most relevant issues in the field of applied psychometry. To this end, the present manuscript analyses the main topics under the Classical Test Theory framework (e.g., exploratory/confirmatory factor analysis; reliability, bias, etc.) aiming to synthesize and clarify the best practical applications; and improve publication standards.
引用
收藏
页码:163 / 170
页数:8
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