Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Preliminary Proactive Sample Size Determination for Confirmatory Factor Analysis Models

Bibliographic Data

ID12098404
AuthorsJennifer Koran (0000-0003-2841-4662, Southern Illinois University Carbondale, Carbondale, IL, USA, corresponding author)
Year2016
Volume49
Issue4
Pages296-308
Publication date2016-09-01
Open AccessNo
TypeARTICLE
VenueMeasurement and Evaluation in Counseling and Development (JOURNAL)
Journal identifiersISSN: 0748-1756 • E-ISSN: 1947-6302
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/0748175616664012
OpenAlexW2512897517
LanguageEN
Citations received10
References cited28

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

Confirmatory factor analysis · Environmental health · Latent variable · Latent variable model · Population · Sample (material · Sample size determination · Scope (computer science · Statistics · Structural equation modeling · Advanced Statistical Modeling Techniques · Computer Science · Mathematics · Psychology · Statistical Methods in Clinical Trials

  • A Mindful Body Awareness Questionnaire for Youth

    Open Access•Marbella Pérez-Peña, Jessica Notermans et al.•Mindfulness•2026

  • Development and Psychometric Testing of the Signed Donor Card (SDC) Scale in an Islamic Society

    Sahar Khoshravesh, Akram Karimi‐shahanjarini et al.•Health Communication•2021

  • The Validity, Reliability, and Responsiveness of the Turkish Version of the Adolescent Health Promotion Scale‐Short Form

    Open Access•Fadime Hatice İnci, Ferhat Çelik•Psychology in the Schools•2025

  • Translation and Cross-Cultural Validation of Korean Version of the Menstrual Distress Questionnaire

    Open Access•Yaelim Lee, Kyeong‐Yae Sohng•SAGE Open•2020

  • Associations between Health Literacy and Sociodemographic Factors

    Open Access•Arina Anis Azlan, Mohammad Rezal Hamzah et al.•International Journal of…•2021

  • Gratitude in Organizations

    Open Access•Letizia Palazzeschi, Andrea Svicher et al.•International Journal of…•2022

  • Establishing the HLS-M-Q18 short version of the European health literacy survey questionnaire for the Malaysian context

    Open Access•Emma Mohamad, Emma Mirza Wati Mohamad et al.•BMC Public Health•2020

  • Power(ful) myths

    Open Access•Samantha F Anderson•Quality of Life Research•2021

  • The Inventario de Perdón y Reconciliación

    Mario D Sobrino, Richard S Balkin•Measurement and Evaluation in…•2025

  • Development and Initial Validation of the Perceived Classism Experiences Scale

    Open Access•Klaus E Cavalhieri, Kathleen Chwalisz•The Counseling Psychologist•2020

  • Multivariate data analysis

    William W Cooley•Multivariate data analysis•1971

  • The Reviewer's Guide to Quantitative Methods in the Social Sciences

    Gregory R Hancock, Ralph O Mueller et al.•Reviewer's Guide to Quantitative…•2010

  • Power of the Likelihood Ratio Test in Covariance Structure Analysis

    Open Access•Albert Satorra, Willem E Saris•Psychometrika•1985

  • Effect of the Number of Variables on Measures of Fit in Structural Equation Modeling

    D A Kenny, D Betsy Mccoach•Structural Equation Modeling: A…•2003

  • How to Use a Monte Carlo Study to Decide on Sample Size and Determine Power

    Linda K Muthén, Bengt Muthén et al.•Structural Equation Modeling: A…•2002

  • Lower bounds on sample size in structural equation modeling

    Open Access•J Christopher Westland•Electronic Commerce Research and…•2010

  • "How Big Is Big Enough?"

    J S Tanaka•Child Development•1987

  • Structural equation modelling

    Open Access•Paul Barrett•Personality and Individual…•2007

  • The Effect of Sampling Error on Convergence, Improper Solutions, and Goodness-of-Fit Indices for Maximum Likelihood Confirmatory Factor Analysis

    Open Access•James C Anderson, David W Gerbing•Psychometrika•1984

  • The Relation Among Fit Indexes, Power, and Sample Size in Structural Equation Modeling

    Kevin H Kim•Structural Equation Modeling: A…•2005

  • Revisiting Sample Size and Number of Parameter Estimates

    Dennis L Jackson•Structural Equation Modeling: A…•2003

  • Power analysis and determination of sample size for covariance structure modeling.

    Robert C Maccallum, Michael W Browne et al.•Psychological Methods•1996

  • Testing Structural Equation Models

    J Scott Long, Kenneth A Bollen•Testing Structural Equation Models•2012

  • Structural Equations with Latent Variables

    Open Access•K A Bollen•Structural Equations with Latent…•1989

  • Sample Size Requirements for Structural Equation Models

    Open Access•Erika J Wolf, Kelly Harrington et al.•Educational and Psychological…•2013

  • Measurement Model Quality, Sample Size, and Solution Propriety in Confirmatory Factor Models

    Phill Gagné, Gregory R Hancock•Multivariate Behavioral Research•2006

  • Is More Ever Too Much? The Number of Indicators per Factor in Confirmatory Factor Analysis

    Herbert W Marsh, Kit‐Tai Hau et al.•Multivariate Behavioral Research•1998

  • An Evaluation of the Effects of Variable Sampling On Component, Image, and Factor Analysis

    Wayne F Velicer, Joseph L Fava•Multivariate Behavioral Research•1987

  • Structural equation modeling in practice

    James C Anderson, David W Gerbing•Psychological Bulletin•1988

  • Principles and Practice of Structural Equation Modeling

    Open Access•Nassim Tabri, Craig M Elliott•Canadian Graduate Journal of…•2012

Citations per year1.67
Citation span2020 - 2026 (7)
Highly citedNo

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae