Preliminary Proactive Sample Size Determination for Confirmatory Factor Analysis Models

被引：23

作者：

Koran, Jennifer ^{[1
]}

机构：

[1] Southern Illinois Univ Carbondale, Carbondale, IL USA

来源：

MEASUREMENT AND EVALUATION IN COUNSELING AND DEVELOPMENT | 2016年 / 49卷 / 04期

关键词：

confirmatory factor analysis; sample size; a priori; STRUCTURAL EQUATION MODELS; GOODNESS-OF-FIT; SOLUTION PROPRIETY; MONTE-CARLO; NUMBER; POWER; INDEXES;

D O I：

10.1177/0748175616664012

中图分类号：

G44 [教育心理学];

学科分类号：

0402 ; 040202 ;

摘要：

Proactive preliminary minimum sample size determination can be useful for the early planning stages of a latent variable modeling study to set a realistic scope, long before the model and population are finalized. This study examined existing methods and proposed a new method for proactive preliminary minimum sample size determination.

引用

页码：296 / 308

页数：13

共 32 条

[1] A different paradigm for the initial colonisation of Sahul [J].

Allen, Jim ;

O'Connell, James F. .

ARCHAEOLOGY IN OCEANIA, 2020, 55 (01) :1-14

[2] STRUCTURAL EQUATION MODELING IN PRACTICE - A REVIEW AND RECOMMENDED 2-STEP APPROACH [J].

ANDERSON, JC ;

GERBING, DW .

PSYCHOLOGICAL BULLETIN, 1988, 103 (03) :411-423

[3] THE EFFECT OF SAMPLING ERROR ON CONVERGENCE, IMPROPER SOLUTIONS, AND GOODNESS-OF-FIT INDEXES FOR MAXIMUM-LIKELIHOOD CONFIRMATORY FACTOR-ANALYSIS [J].

ANDERSON, JC ;

GERBING, DW .

PSYCHOMETRIKA, 1984, 49 (02) :155-173

[4]

[Anonymous], 2001, Structural Equation Modeling: Past and Present. A Festschrifi in Honor of Karl G. Joreskoy, DOI DOI 10.12691/EDUCATION-3-1-10

[5] Structural equation modelling: Adjudging model fit [J].

Barrett, Paul .

PERSONALITY AND INDIVIDUAL DIFFERENCES, 2007, 42 (05) :815-824

[6]

Bauldry S., 2015, International encyclopedia of the social & behavioral sciences, P615, DOI [DOI 10.4135/9781412995627.D38, 10.1016/B978-0-08-097086-8.44055-9, DOI 10.1016/B978-0-08-097086-8.44055-9]

[7]

Bollen K. A., TESTING STRUCTURAL E

[8]

Boomsma A., 1982, Systems under indirect observation: Causality, structure, prediction, P149

[9]

Cohen J, 2013, Statistical power analysis for the behavioral sciences, DOI [10.4324/9780203771587, DOI 10.4324/9780203771587]

[10] Measurement model quality, sample size, and solution propriety in confirmatory factor models [J].

Gagne, Phill ;

Hancock, Gregory R. .

MULTIVARIATE BEHAVIORAL RESEARCH, 2006, 41 (01) :65-83

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