Literature DB >> 1939690

Latent variable path analysis in clinical research: a beginner's tour guide.

R B Kline1.   

Abstract

Latent variable path analysis (LVPA) is undoubtedly one of "the" new statistical techniques being used increasingly often by clinical researchers. Although well suited for some types of clinical research, LVPA can be a somewhat intimidating technique for novices. This work is intended to provide a non-mathematical introduction to the advantages and problems of LVPA for clinical researchers who are not yet familiar with this powerful procedure. The conceptual bases of LVPA, its relation to other statistical techniques, and possible uses and misuses in clinical research are considered. Many practical recommendations for the appropriate use of LVPA also are offered, as is a suggested reading list for researchers who wish to learn more about LVPA and related approaches.

Mesh:

Year:  1991        PMID: 1939690     DOI: 10.1002/1097-4679(199107)47:4<471::aid-jclp2270470402>3.0.co;2-o

Source DB:  PubMed          Journal:  J Clin Psychol        ISSN: 0021-9762


  12 in total

1.  An Empirical Examinination of Jacobs' General Theory of Addictions: Do Adolescent Gamblers Fit the Theory?

Authors:  Rina Gupta; Jeffrey L. Derevensky
Journal:  J Gambl Stud       Date:  1998

2.  Effects of environmental levels of cadmium, lead and mercury on human renal function evaluated by structural equation modeling.

Authors:  Jerome P Trzeciakowski; Lesley Gardiner; Alan R Parrish
Journal:  Toxicol Lett       Date:  2014-04-21       Impact factor: 4.372

3.  Structural equation modeling highlights the potential of Kim-1 as a biomarker for chronic kidney disease.

Authors:  Lesley Gardiner; Adebayo Akintola; Gang Chen; Jeffrey M Catania; Vishal Vaidya; Robert C Burghardt; Joseph V Bonventre; Jerome Trzeciakowski; Alan R Parrish
Journal:  Am J Nephrol       Date:  2012-01-20       Impact factor: 3.754

4.  Using Nurse Ratings of Physician Communication in the ICU To Identify Potential Targets for Interventions To Improve End-of-Life Care.

Authors:  Kathleen J Ramos; Lois Downey; Elizabeth L Nielsen; Patsy D Treece; Sarah E Shannon; J Randall Curtis; Ruth A Engelberg
Journal:  J Palliat Med       Date:  2015-12-18       Impact factor: 2.947

Review 5.  Cutting-edge statistical methods for a life-course approach.

Authors:  Kristen L Bub; Larissa K Ferretti
Journal:  Adv Nutr       Date:  2014-01-01       Impact factor: 8.701

6.  Muscle Mass Index and Animal Source of Dietary Protein Are Positively Associated with Insulin Resistance in Participants of the NuAge Study.

Authors:  J Matta; N Mayo; I J Dionne; P Gaudreau; T Fulop; D Tessier; K Gray-Donald; B Shatenstein; J A Morais
Journal:  J Nutr Health Aging       Date:  2016-02       Impact factor: 4.075

7.  The CANadian Pediatric Weight management Registry (CANPWR): study protocol.

Authors:  Katherine M Morrison; Samah Damanhoury; Annick Buchholz; Jean-Pierre Chanoine; Marie Lambert; Mark S Tremblay; Glenn Berall; Jill Hamilton; Anne Marie Laberge; Laurent Legault; Lehana Thabane; Monica Jakymyshyn; Kathryn A Ambler; Geoff D C Ball
Journal:  BMC Pediatr       Date:  2014-06-23       Impact factor: 2.125

8.  Construction and implications of structural equation modeling network for pediatric cataract: a data mining research of rare diseases.

Authors:  Erping Long; Shuangjuan Xu; Zhenzhen Liu; Xiaohang Wu; Xiayin Zhang; Jinghui Wang; Wangting Li; Runzhong Liu; Zicong Chen; Kexin Chen; Tongyong Yu; Dongxuan Wu; Xutu Zhao; Jingjing Chen; Zhuoling Lin; Qianzhong Cao; Duoru Lin; Xiaoyan Li; Jingheng Cai; Haotian Lin
Journal:  BMC Ophthalmol       Date:  2017-05-19       Impact factor: 2.209

9.  Mechanisms and Effects of a WeChat-Based Intervention on Suicide Among People Living With HIV and Depression: Path Model Analysis of a Randomized Controlled Trial.

Authors:  Yiran Li; Yan Guo; Y Alicia Hong; Mengting Zhu; Chengbo Zeng; Jiaying Qiao; Zhimeng Xu; Hanxi Zhang; Yu Zeng; Weiping Cai; Linghua Li; Cong Liu
Journal:  J Med Internet Res       Date:  2019-11-27       Impact factor: 5.428

10.  Attitudes and doping: a structural equation analysis of the relationship between athletes' attitudes, sport orientation and doping behaviour.

Authors:  Andrea Petróczi
Journal:  Subst Abuse Treat Prev Policy       Date:  2007-11-09
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