IDEAS home Printed from https://ideas.repec.org/a/sae/evarev/v23y1999i6p648-662.html
   My bibliography  Save this article

Evaluation of Hiv Risk Reduction Intervention Programs Via Latent Growth Model

Author

Listed:
  • Jichuan Wang

    (Wright State University)

  • Harvey A. Siegal

    (Wright State University)

  • Russel S. Falck

    (Wright State University)

  • Robert G. Carlson

    (Wright State University)

  • Ahmmed Rahman

    (Wright State University)

Abstract

The latent growth model (LGM) has drawn increasing attention in behavioral studies using longitudinal data. The LGM captures the level and trajectory of behavior change, variation in both the initial status and the trend of behavior change, as well as the time-ordered covariation between the initial status and change. This study demonstrates how the LGM can be applied in the evaluation of intervention programs targeting HIV risk behavior among drug users. Multigroup piecewise latent growth models were fit to longitudinal data with three repeated response measures.

Suggested Citation

  • Jichuan Wang & Harvey A. Siegal & Russel S. Falck & Robert G. Carlson & Ahmmed Rahman, 1999. "Evaluation of Hiv Risk Reduction Intervention Programs Via Latent Growth Model," Evaluation Review, , vol. 23(6), pages 648-662, December.
    • Handle: RePEc:sae:evarev:v:23:y:1999:i:6:p:648-662
    DOI: 10.1177/0193841X9902300604
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0193841X9902300604
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0193841X9902300604?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
    ---><---

    References listed on IDEAS

    as
    1. William Meredith & John Tisak, 1990. "Latent curve analysis," Psychometrika, Springer;The Psychometric Society, vol. 55(1), pages 107-122, March.
    2. Bengt Muthén & David Kaplan & Michael Hollis, 1987. "On structural equation modeling with data that are not missing completely at random," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 431-462, September.
    Full references (including those not matched with items on IDEAS)

    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. Eldad Davidov & Stefan Thörner & Peter Schmidt & Stefanie Gosen & Carina Wolf, 2011. "Level and change of group-focused enmity in Germany: unconditional and conditional latent growth curve models with four panel waves," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 481-500, December.
    2. Hess, Brian, 2000. "Assessing program impact using latent growth modeling: a primer for the evaluator," Evaluation and Program Planning, Elsevier, vol. 23(4), pages 419-428, November.
    3. 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.
    4. Yih-Ing Hser & Haikang Shen & Chih-Ping Chou & Stephen C. Messer & M. Douglas Anglin, 2001. "Analytic Approaches for Assessing Long-Term Treatment Effects," Evaluation Review, , vol. 25(2), pages 233-262, April.
    5. Laura Castro-Schilo & Barbara L. Fredrickson & Dan Mungas, 2019. "Association of Positive Affect with Cognitive Health and Decline for Elder Mexican Americans," Journal of Happiness Studies, Springer, vol. 20(8), pages 2385-2400, December.
    6. Justina GineikienÄ—, 2013. "Consumer Nostalgia Literature Review And An Alternative Measurement Perspective," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 4(2).
    7. Chun Wang & Steven W. Nydick, 2020. "On Longitudinal Item Response Theory Models: A Didactic," Journal of Educational and Behavioral Statistics, , vol. 45(3), pages 339-368, June.
    8. Pietro Lovaglio & Mario Mezzanzanica, 2013. "Classification of longitudinal career paths," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 989-1008, February.
    9. Erik Meijer & Arie Kapteyn & Tatiana Andreyeva, 2008. "Health Indexes and Retirement Modeling in International Comparisons," Working Papers 614, RAND Corporation.
    10. Shu Xu & Shelley A. Blozis, 2011. "Sensitivity Analysis of Mixed Models for Incomplete Longitudinal Data," Journal of Educational and Behavioral Statistics, , vol. 36(2), pages 237-256, April.
    11. Jost Reinecke & Cornelia Weins, 2013. "The development of delinquency during adolescence: a comparison of missing data techniques," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(6), pages 3319-3334, October.
    12. Ke-Hai Yuan & Peter Bentler, 2006. "Mean Comparison: Manifest Variable Versus Latent Variable," Psychometrika, Springer;The Psychometric Society, vol. 71(1), pages 139-159, March.
    13. Valentin Kvist, Ann & Gustafsson, Jan-Eric, 2007. "The relation between fluid intelligence and the general factor as a function of cultural background: a test of Cattell's investment theory," Working Paper Series 2007:23, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    14. Liu, Yuqing & Schuberth, Florian & Liu, Yide & Henseler, Jörg, 2022. "Modeling and assessing forged concepts in tourism and hospitality using confirmatory composite analysis," Journal of Business Research, Elsevier, vol. 152(C), pages 221-230.
    15. Sun-Pyo Lee & Kyungji Kim & Sungbum Park, 2023. "Investigating the Market Success of Software-as-a-Service Providers: the Multivariate Latent Growth Curve Model Approach," Information Systems Frontiers, Springer, vol. 25(2), pages 639-658, April.
    16. Kano, Yutaka & Takai, Keiji, 2011. "Analysis of NMAR missing data without specifying missing-data mechanisms in a linear latent variate model," Journal of Multivariate Analysis, Elsevier, vol. 102(9), pages 1241-1255, October.
    17. Georg Henning & Graciela Muniz-Terrera & Andreas Stenling & Martin Hyde, 2024. "Job satisfaction declines before retirement in Germany," European Journal of Ageing, Springer, vol. 21(1), pages 1-11, December.
    18. Webley, Paul & Nyhus, Ellen K., 2006. "Parents' influence on children's future orientation and saving," Journal of Economic Psychology, Elsevier, vol. 27(1), pages 140-164, February.
    19. Min Hua Jen & Ron Johnston & Kelvyn Jones & Richard Harris & Axel Gandy, 2010. "International Variations In Life Expectancy: A Spatio‐Temporal Analysis," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 101(1), pages 73-90, February.
    20. Takahiro Hoshino & Hiroshi Kurata & Kazuo Shigemasu, 2006. "A Propensity Score Adjustment for Multiple Group Structural Equation Modeling," Psychometrika, Springer;The Psychometric Society, vol. 71(4), pages 691-712, December.

    More about this item

    Statistics

    Access and download statistics

    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:sae:evarev:v:23:y:1999:i:6:p:648-662. 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: SAGE Publications (email available below). General contact details of provider: .

    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.