scispace - formally typeset
K

Kevin H. Kim

Researcher at University of Pittsburgh

Publications -  122
Citations -  6147

Kevin H. Kim is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Population & Mental health. The author has an hindex of 40, co-authored 122 publications receiving 5275 citations.

Papers
More filters
Journal ArticleDOI

Translation of scales in cross-cultural research: issues and techniques.

TL;DR: It is important to use appropriate translation procedures and to employ a combined translation technique based on the research environment and questions to maintain the content equivalences between the original and translated instruments in international research.
Journal ArticleDOI

Detecting mixtures from structural model differences using latent variable mixture modeling: A comparison of relative model fit statistics.

TL;DR: In this article, the accuracy of structural model parameter estimates in latent variable mixture modeling was explored with a 3 (sample size) × 3 (exogenous latent mean difference), 3 (endogenous LatM difference), and 3 (correlation between factors) ×3 (mixture proportions) factorial design.
Journal ArticleDOI

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

TL;DR: The relation among fit indexes, power, and sample size in structural equation modeling is examined in this article, where four fit indexes (RMSEA, CFI, McDonald's Fit Index, and Steiger's gamma) were used to compute the noncentrality parameter and sample sizes to achieve a certain level of power.
Journal ArticleDOI

The Social Ecological Model as a Framework for Determinants of 2009 H1N1 Influenza Vaccine Uptake in the United States

TL;DR: Variables at each level of the social ecological model were significant predictors of uptake as well as of intent to get the vaccine, suggesting that interventions targeting multiple levels of the framework would be more effective than interventions aimed at a single level.
Journal ArticleDOI

Muscle mass predicts outcomes following liver transplantation

TL;DR: Because pretransplant muscle mass is associated with many important postoperative outcomes, the findings are discussed in the context of possible Pretransplant interventions for either improving or sustaining muscle mass before surgery.