IDEAS home Printed from https://ideas.repec.org/a/spr/alstar/v94y2010i2p117-127.html
   My bibliography  Save this article

Using restricted factor analysis with latent moderated structures to detect uniform and nonuniform measurement bias; a simulation study

Author

Listed:
  • M. Barendse
  • F. Oort
  • G. Garst

Abstract

No abstract is available for this item.

Suggested Citation

  • M. Barendse & F. Oort & G. Garst, 2010. "Using restricted factor analysis with latent moderated structures to detect uniform and nonuniform measurement bias; a simulation study," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(2), pages 117-127, June.
    • Handle: RePEc:spr:alstar:v:94:y:2010:i:2:p:117-127
    DOI: 10.1007/s10182-010-0126-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10182-010-0126-1
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10182-010-0126-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Andreas Klein & Helfried Moosbrugger, 2000. "Maximum likelihood estimation of latent interaction effects with the LMS method," Psychometrika, Springer;The Psychometric Society, vol. 65(4), pages 457-474, December.
    2. Albert Satorra & Peter Bentler, 2001. "A scaled difference chi-square test statistic for moment structure analysis," Psychometrika, Springer;The Psychometric Society, vol. 66(4), pages 507-514, December.
    3. William Meredith, 1993. "Measurement invariance, factor analysis and factorial invariance," Psychometrika, Springer;The Psychometric Society, vol. 58(4), pages 525-543, December.
    4. Karin Schermelleh-Engel & Christina Werner & Andreas Klein & Helfried Moosbrugger, 2010. "Nonlinear structural equation modeling: is partial least squares an alternative?," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(2), pages 167-184, June.
    5. Suzanne Jak & Frans Oort & Conor Dolan, 2010. "Measurement bias and multidimensionality; an illustration of bias detection in multidimensional measurement models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(2), pages 129-137, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Karin Schermelleh-Engel & Christina Werner & Andreas Klein & Helfried Moosbrugger, 2010. "Nonlinear structural equation modeling: is partial least squares an alternative?," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(2), pages 167-184, June.
    2. Suzanne Jak & Frans Oort & Conor Dolan, 2010. "Measurement bias and multidimensionality; an illustration of bias detection in multidimensional measurement models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(2), pages 129-137, June.
    3. Zhenzhen Zhang & Thomas M. Braun & Karen E. Peterson & Howard Hu & Martha M. Téllez-Rojo & Brisa N. Sánchez, 2018. "Extending Tests of Random Effects to Assess for Measurement Invariance in Factor Models," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 10(3), pages 634-650, December.
    4. Andreas Klein & Karin Schermelleh-Engel, 2010. "Introduction of a new measure for detecting poor fit due to omitted nonlinear terms in SEM," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(2), pages 157-166, June.
    5. B. King-Kallimanis & F. Oort & G. Garst, 2010. "Using structural equation modelling to detect measurement bias and response shift in longitudinal data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(2), pages 139-156, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jule Specht & Boris Egloff & Stefan C. Schmukle, 2012. "Everything under Control?: The Effects of Age, Gender, and Education on Trajectories of Perceived Control in a Nationally Representative German Sample," SOEPpapers on Multidisciplinary Panel Data Research 445, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Andreas Klein & Karin Schermelleh-Engel, 2010. "Introduction of a new measure for detecting poor fit due to omitted nonlinear terms in SEM," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(2), pages 157-166, June.
    3. Pei-Chen Wu, 2010. "Differential Functioning of the Chinese Version of Beck Depression Inventory-II in Adolescent Gender Groups: Use of a Multiple-Group Mean and Covariance Structure Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 96(3), pages 535-550, May.
    4. P. Couper, Mick & Cernat, Alexandru & Beth Ofstedal, Mary, 2015. "Estimation of mode effects in the Health and Retirement Study using measurement models," ISER Working Paper Series 2015-19, Institute for Social and Economic Research.
    5. Karin Schermelleh-Engel & Christina Werner & Andreas Klein & Helfried Moosbrugger, 2010. "Nonlinear structural equation modeling: is partial least squares an alternative?," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(2), pages 167-184, June.
    6. Germann, Frank & Lilien, Gary L. & Rangaswamy, Arvind, 2013. "Performance implications of deploying marketing analytics," International Journal of Research in Marketing, Elsevier, vol. 30(2), pages 114-128.
    7. Theo Dijkstra & Karin Schermelleh-Engel, 2014. "Consistent Partial Least Squares for Nonlinear Structural Equation Models," Psychometrika, Springer;The Psychometric Society, vol. 79(4), pages 585-604, October.
    8. Holendro Singh Chungkham & Michael Ingre & Robert Karasek & Hugo Westerlund & Töres Theorell, 2013. "Factor Structure and Longitudinal Measurement Invariance of the Demand Control Support Model: An Evidence from the Swedish Longitudinal Occupational Survey of Health (SLOSH)," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-11, August.
    9. Dylan Molenaar, 2015. "Heteroscedastic Latent Trait Models for Dichotomous Data," Psychometrika, Springer;The Psychometric Society, vol. 80(3), pages 625-644, September.
    10. Sebastián Fierro-Suero & Bartolomé J. Almagro & Pedro Sáenz-López & José Carmona-Márquez, 2020. "Perceived Novelty Support and Psychological Needs Satisfaction in Physical Education," IJERPH, MDPI, vol. 17(11), pages 1-14, June.
    11. Xiao Zhou & Xinchun Wu & Rui Zhen, 2017. "Latent Structure of Posttraumatic Growth and its Temporal Stability Among a Sample of Chinese Children Following an Earthquake," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 10(4), pages 1121-1134, December.
    12. Suzanne Jak & Frans Oort & Conor Dolan, 2010. "Measurement bias and multidimensionality; an illustration of bias detection in multidimensional measurement models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(2), pages 129-137, June.
    13. Piia Seppälä & Saija Mauno & Taru Feldt & Jari Hakanen & Ulla Kinnunen & Asko Tolvanen & Wilmar Schaufeli, 2009. "The Construct Validity of the Utrecht Work Engagement Scale: Multisample and Longitudinal Evidence," Journal of Happiness Studies, Springer, vol. 10(4), pages 459-481, August.
    14. Johan Oud & Manuel Voelkle, 2014. "Do missing values exist? Incomplete data handling in cross-national longitudinal studies by means of continuous time modeling," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3271-3288, November.
    15. Son K. Lam & Thomas E. DeCarlo & Ashish Sharma, 2019. "Salesperson ambidexterity in customer engagement: do customer base characteristics matter?," Journal of the Academy of Marketing Science, Springer, vol. 47(4), pages 659-680, July.
    16. Laura Vieten & Anne Marit Wöhrmann & Alexandra Michel, 2022. "Work-Time Control and Exhaustion: Internal Work-to-Home Interference and Internal Home-to-Work Interference as Mediators," IJERPH, MDPI, vol. 19(6), pages 1-17, March.
    17. Liat Ayalon, 2018. "Perceived Age Discrimination: A Precipitator or a Consequence of Depressive Symptoms?," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 73(5), pages 860-869.
    18. Ruth Hancock & Marcello Morciano & Stephen Pudney & Francesca Zantomio, 2015. "Do household surveys give a coherent view of disability benefit targeting?: a multisurvey latent variable analysis for the older population in Great Britain," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(4), pages 815-836, October.
    19. Steven Andrew Culpepper & Herman Aguinis & Justin L. Kern & Roger Millsap, 2019. "High-Stakes Testing Case Study: A Latent Variable Approach for Assessing Measurement and Prediction Invariance," Psychometrika, Springer;The Psychometric Society, vol. 84(1), pages 285-309, March.
    20. Ihsana Sabriani Borualogo & Ferran Casas, 2023. "Bullying Victimisation and Children’s Subjective Well-being: A Comparative Study in Seven Asian Countries," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(1), pages 1-27, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:alstar:v:94:y:2010:i:2:p:117-127. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.