Kim Nimon - Google Scholar

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Coauteurs

drea zigarmiken blanchard companies & university of san diegoAdresse e-mail validée de mindspring.com
Linda ZientekSam Houston State UniversityAdresse e-mail validée de shsu.edu
Brad ShuckUniversity of LouisvilleAdresse e-mail validée de louisville.edu
Frederick L. OswaldRice UniversityAdresse e-mail validée de rice.edu
Robin K. HensonProfessor of Educational Psychology, University of North TexasAdresse e-mail validée de unt.edu
Amanda KrahaAssistant Professor of Psychology, Indiana University EastAdresse e-mail validée de iue.edu
Jeff AllenRegents Professor of Information Science; Director, Center for Knowledge Solutions; University ofAdresse e-mail validée de unt.edu
Thomas ReioProfessor, Florida International UniversityAdresse e-mail validée de fiu.edu
Laura NathansAssistant Professor of Human Development and Family Studies, Penn State Worthington ScrantonAdresse e-mail validée de PSU.edu
Thomas J. ChermackProfessor of Organizational Learning, Performance and Change, Colorado State UniversityAdresse e-mail validée de colostate.edu
Mitzi LewisAssociate Professor of Mass Communication, Midwestern State UniversityAdresse e-mail validée de msutexas.edu
Jérôme G PrunierPostDoc in population genomics, spatial genetics and conservationAdresse e-mail validée de sete.cnrs.fr
Baek-Kyoo (Brian) JooAssociate Professor at Slippery Rock University of PennsylvaniaAdresse e-mail validée de sru.edu
Jon M. WernerUniversity of Wisconsin-WhitewaterAdresse e-mail validée de uww.edu
Shomen MukherjeeAzim Premji University, School of Arts and SciencesAdresse e-mail validée de apu.edu.in
Slotow, RHBiological Sciences, University of KwaZulu-NatalAdresse e-mail validée de ukzn.ac.za
Elizabeth SwansonUniversity of Texas at AustinAdresse e-mail validée de austin.utexas.edu
Jessica LiAssociate Professor of Human Resource Development, University of Illinois at Urbana-ChampaignAdresse e-mail validée de illinois.edu
Holly M. HutchinsProfessor, Human Resource Development, University of HoustonAdresse e-mail validée de uh.edu
Ji Hoon SongAssociate Professor at Han Yang University, Seoul, KoreaAdresse e-mail validée de hanyang.ac.kr

Kim Nimon

University of Texas Tyler

Adresse e-mail validée de uttyler.edu

HRD human resource development latent semantic analyis general linear model employee engagement


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Interpreting multiple linear regression: A guidebook of variable importance LL Nathans, FL Oswald, K Nimon Practical Assessment, Research, and Evaluation 17 (1), 9, 2012	467	2012
Hierarchical Linear Modeling: Guide and Applications GD Garson Sage Publications, Incorporated, 2012	390	2012
Beyond engagement: Toward a framework and operational definition for employee work passion D Zigarmi, K Nimon, D Houson, D Witt, J Diehl Human Resource Development Review 8 (3), 300-326, 2009	274	2009
Tools to support interpreting multiple regression in the face of multicollinearity A Kraha, H Turner, K Nimon, L Zientek, R Henson Frontiers in psychology 3, 44, 2012	250	2012
Understanding the results of multiple linear regression: Beyond standardized regression coefficients KF Nimon, FL Oswald Organizational Research Methods 16 (4), 650-674, 2013	212	2013
The jingle jangle of employee engagement: Further exploration of the emerging construct and implications for workplace learning and performance B Shuck, R Ghosh, D Zigarmi, K Nimon Human Resource Development Review 12 (1), 11-35, 2013	186	2013
Interprocessor switching network EE Grant, GD Hanson, KF Nimon, JK McCoy US Patent 5,218,602, 1993	165	1993
Statistical assumptions of substantive analyses across the general linear model: a mini-review KF Nimon Frontiers in psychology 3, 322, 2012	144	2012
Using commonality analysis in multiple regressions: a tool to decompose regression effects in the face of multicollinearity J Ray‐Mukherjee, K Nimon, S Mukherjee, DW Morris, R Slotow, M Hamer Methods in Ecology and Evolution 5 (4), 320-328, 2014	139	2014
An R package to compute commonality coefficients in the multiple regression case: An introduction to the package and a practical example K Nimon, M Lewis, R Kane, RM Haynes Behavior Research Methods 40 (2), 457-466, 2008	137	2008
Measures of program effectiveness based on retrospective pretest data: are all created equal? K Nimon, D Zigarmi, J Allen American Journal of Evaluation 32 (1), 8-28, 2011	132	2011
Effectiveness of a supplemental early reading intervention scaled up in multiple schools CA Denton, K Nimon, PG Mathes, EA Swanson, C Kethley, TB Kurz, ... Exceptional Children 76 (4), 394-416, 2010	102	2010
Revisiting interpretation of canonical correlation analysis: A tutorial and demonstration of canonical commonality analysis K Nimon, RK Henson, MS Gates Multivariate Behavioral Research 45 (4), 702-724, 2010	95	2010
Revisiting interpretation of canonical correlation analysis: A tutorial and demonstration of canonical commonality analysis K Nimon, RK Henson, MS Gates Multivariate Behavioral Research 45 (4), 702-724, 2010	95	2010
A preliminary field test of an employee work passion model D Zigarmi, K Nimon, D Houson, D Witt, J Diehl Human Resource Development Quarterly 22 (2), 195-221, 2011	94	2011
Regression commonality analysis: Demonstration of an SPSS solution K Nimon Multiple Linear Regression Viewpoints 36 (1), 10-17, 2010	91	2010
Retrospective Pretest: A Practical Technique for Professional Development Evaluation. JM Allen, K Nimon Journal of Industrial Teacher Education 44 (3), 27-42, 2007	81	2007
Construct overlap between employee engagement and job satisfaction: A function of semantic equivalence? K Nimon, B Shuck, D Zigarmi Journal of Happiness Studies 17 (3), 1149-1171, 2016	79	2016
Multicollinearity in spatial genetics: separating the wheat from the chaff using commonality analyses JG Prunier, M Colyn, X Legendre, KF Nimon, MC Flamand Molecular ecology 24 (2), 263-283, 2015	74	2015
The work cognition inventory: Initial evidence of construct validity K Nimon, D Zigarmi, D Houson, D Witt, J Diehl Human Resource Development Quarterly 22 (1), 7-35, 2011	69	2011

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