Hierarchical linear modeling as an example for measuring change over time in a leadership development evaluation context

2010 ◽  
Vol 21 (4) ◽  
pp. 645-656 ◽  
Author(s):  
William A. Gentry ◽  
Jennifer W. Martineau
Keyword(s):  
Leadership Development ◽  
Hierarchical Linear Modeling ◽  
Linear Modeling ◽  
Change Over Time ◽  
Measuring Change ◽  
Development Evaluation ◽  
Over Time

scholarly journals Trajectories of Physical and Emotional Marital Aggression in Midlife Couples

2008 ◽  
Vol 23 (1) ◽  
pp. 18-34 ◽  
Author(s):  
Katrina A. Vickerman ◽  
Gayla Margolin
Keyword(s):  
Hierarchical Linear Modeling ◽  
Physical Aggression ◽  
Community Sample ◽  
Considerable Variability ◽  
Linear Modeling ◽  
Change Over Time ◽  
Emotional Aggression ◽  
Start Ups ◽  
Over Time

This study used three-level generalized hierarchical linear modeling to examine trajectories of husbands’ and wives’ physical and emotional aggression over three assessments and the effects of years since marriage. In this community sample of 118 couples, physical aggression significantly decreased over time (43% per year). Emotional aggression did not significantly change over time, but trajectories significantly differed for husbands (3% increase) versus wives (10% decrease). Longer-duration marriages had lower physical aggression and, for wives only, lower emotional aggression. Aggression trajectories showed considerable variability: 44%–55% of physically aggressive spouses desisted from one assessment to the next; 5%–12% reported start-ups in physical aggression. Discussion addresses the role of gender and type of aggression in aggression trajectories.

scholarly journals Core Self-Evaluations Over Time

2020 ◽  
Vol 41 (1) ◽  
pp. 1-7
Author(s):  
Michael C. Tocci ◽  
Patrick D. Converse ◽  
Nicholas A. Moon
Keyword(s):  
Hierarchical Linear Modeling ◽  
Self Concept ◽  
Linear Modeling ◽  
Fundamental Nature ◽  
Organizational Behaviors ◽  
Theoretical Perspectives ◽  
Time Periods ◽  
New Perspective ◽  
Core Self ◽  
Over Time

Abstract. Core self-evaluations (CSEs) represent a prominent construct with links to a number of important organizational behaviors and outcomes. Previous research on this variable appears to have assumed that CSE is a stable trait. However, very little research has examined this assumption, particularly over longer time periods. This study investigated this issue, focusing on within-person variability in CSE. Drawing from several theoretical perspectives related to self-concept, we examined the extent to which levels of this construct varied over several years as well as potential predictors of this variability. Hierarchical linear modeling analyses indicated there was substantial within-person variance in CSE over time and this variability was related to income and education. These findings shed additional light on the fundamental nature of CSE, contributing to a new perspective on this construct with potential implications for employees, organizations, and researchers.

Using Hierarchical Linear Modeling to Examine Dynamic Performance Criteria Over Time

1997 ◽  
Vol 23 (6) ◽  
pp. 745-757 ◽  
Author(s):  
Diana L. Deadrick ◽  
Nathan Bennett ◽  
Craig J. Russell
Keyword(s):  
Hierarchical Linear Modeling ◽  
Dynamic Performance ◽  
Individual Performance ◽  
Performance Criteria ◽  
Practical Significance ◽  
Linear Modeling ◽  
Modeling Analysis ◽  
And Performance ◽  
Over Time ◽  
Dynamic Criteria

The selection literature has long debated the theoretical and practical significance of dynamic criteria. Recent research has begun to explore the nature of individual performance over time. This study contributes to this body of research through a hierarchical linear modeling analysis of dynamic criteria. The purpose of this study was to investigate the role of ability in explaining initial job performance, as well as the rate of improvement-or performance trend-among a sample of 408 sewing machine operators over a 24 week period. The results of a hierarchical linear modeling analysis suggest that ability measures are differentially related to initial performance and performance improvement trend.

A Hierarchical Linear Modeling Assessment of Dual-Addiction Status and Change in Sexual Compulsivity over Time

2010 ◽  
Vol 107 (1) ◽  
pp. 236-244 ◽  
Author(s):  
Paul J. Wright
Keyword(s):  
Hierarchical Linear Modeling ◽  
Sexual Compulsivity ◽  
Linear Modeling ◽  
Treatment Providers ◽  
Research Questions ◽  
Sexually Compulsive ◽  
Over Time

This study examined the association between dual-addiction status and sexual compulsivity over time in a sample of self-identified sexually compulsive males. Hierarchical linear modeling was utilized to address the study's research questions. Dually addicted sexually compulsive males exhibited lower rates of sexual compulsivity than their singularly addicted counterparts initially but displayed less precipitous declines in sexual compulsiveness over time. Implications for treatment providers are discussed.

The Use of Curriculum-Based Measures in Young At-Risk Writers: Measuring Change Over Time and Potential Moderators of Change

2012 ◽  
Vol 20 (4) ◽  
pp. 199-217 ◽  
Author(s):  
Lara-Jeane C. Costa ◽  
Stephen R. Hooper ◽  
Matthew McBee ◽  
Kathleen L. Anderson ◽  
Donna Carlson Yerby
Keyword(s):  
At Risk ◽  
Change Over Time ◽  
Measuring Change ◽  
Curriculum Based Measures ◽  
Over Time

Abstract WP463: Moderator Role of Preparedness on the Association Between Depression and Quality of Life in Stroke Survivor-Caregiver Dyads

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Gianluca Pucciarelli ◽  
Karen S Lyons ◽  
Silvio Simeone ◽  
Rosaria Alvaro ◽  
Christopher S Lee ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Depressive Symptoms ◽  
Hierarchical Linear Modeling ◽  
Longitudinal Design ◽  
Stroke Survivor ◽  
Linear Modeling ◽  
Rehabilitation Period ◽  
Over Time

Background: Although several studies have clearly shown that depressive symptoms in stroke survivors and caregivers decreases their quality of life (QOL), previous research has not yet analyzed the role of potential moderators in the relationship between the above two variables. Aims: To examine the moderating effect of caregiver preparedness between depressive symptoms and QOL in stroke survivor and caregiver dyads. Methods: Longitudinal design with 222 stroke survivor-caregiver dyads enrolled at survivor discharge from rehabilitation hospitals. Data collection was performed over 12 months. We measured survivor and caregiver QOL dimensions (physical, psychological, social and environmental), depression and preparedness. Hierarchical Linear Modeling was used to test four longitudinal dyadic moderation models (one for each QOL domain). Results: Survivors (50% males) and caregivers (65% females) were 70.8 (SD=11.9) and 52.5 (SD=13.1) years old, respectively. Controlling for baseline covariates, caregiver preparedness significantly moderated the association between survivor depressive symptoms and survivor psychological (B = 0.56, p < .01) and environmental (B = 0.58, p < .01) QOL at baseline and social QOL over time (B = 0.24, p < .05). In each case, higher levels of caregiver preparedness were protective and buffered the influence of survivor depressive symptoms on survivor QOL. Similarly, caregiver preparedness significantly moderated the association between caregiver depressive symptoms and caregiver physical (B = 0.25, p < .01) and environmental (B = 0.18, p < .05) QOL over time. Conclusions: Caregiver preparedness is a positive variable for both members of the dyad and the paper highlights the importance of implementing tailored intervention which could improve caregivers’ preparedness already during the rehabilitation period.

ALBUMIN, HEMOGLOBIN, AND THE TRAJECTORY OF COGNITIVE FUNCTION IN COMMUNITY-DWELLING OLDER JAPANESE: A 13-YEAR LONGITUDINAL STUDY

2016 ◽  
pp. 1-7 ◽  
Author(s):  
H. Murayama ◽  
S. Shinkai ◽  
M. Nishi ◽  
Y. Taniguchi ◽  
H. Amano ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Cognitive Function ◽  
Hierarchical Linear Modeling ◽  
Cognitive Change ◽  
Albumin Level ◽  
Community Dwelling ◽  
Health Examination ◽  
Linear Modeling ◽  
Function Design ◽  
Over Time

Background: Cognitive function can substantially decline over a long period, and understanding the trajectory of cognitive function is important. However, little is known about the linkage between nutritional biomarkers and long-term cognitive change. Objectives: We analyzed 13-year longitudinal data for older Japanese to examine the associations of serum albumin and hemoglobin levels with the trajectory of cognitive function. Design: Longitudinal study. Setting: Community-based. Participants: A total of 1,744 community-dwelling adults aged 65 years or older who participated in annual health examinations in Kusatsu town, Gunma Prefecture, Japan, from 2002–2014. Measurements: Cognitive function was assessed annually by the Mini-Mental State Examination (MMSE). Albumin and hemoglobin levels at baseline (the year when a respondent first participated in the health examination) were divided into quartiles. Hierarchical linear modeling was used to analyze intrapersonal and interpersonal differences in cognitive function. Results: Participants’ MMSE scores decreased at an accelerated rate over the 13-year period. Participants with the lowest baseline albumin level (below the first quartile line) showed a greater accelerated decline in MMSE scores over time, compared with those with the highest level (above the third quartile line). Moreover, MMSE scores in participants with a lower hemoglobin level and lower MMSE score at baseline tended to decline faster over time at an accelerated rate. Conclusions: These findings yield new insights about the complex and diverse roles of these nutritional biomarkers on the trajectory of cognitive function in old age.

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