scholarly journals An extension of the mixed‐effects growth model that considers between‐person differences in the within‐subject variance and the autocorrelation

2021 ◽  
Author(s):  
Steffen Nestler
Keyword(s):  
Growth Model ◽  
Mixed Effects

Identity Loss and Psychological Crisis in Widowhood: A Re-Evaluation

1988 ◽  
Vol 26 (3) ◽  
pp. 225-239 ◽  
Author(s):  
L. Eugene Thomas ◽  
Robert C. Digiulio ◽  
Nancy W. Sheehan
Keyword(s):  
Growth Model ◽  
Psychological Functioning ◽  
Self Esteem ◽  
Ego Identity ◽  
Mixed Effects ◽  
Developmental Theory ◽  
Central Issue ◽  
Crisis Resolution ◽  
Negative Change ◽  
National Norms

This study seeks to clarify the effect of widowhood on ego identity and psychological functioning. The sample consisted of eighty-three widows, ranging in age from twenty-two to seventy-four, who had been widowed an average of 4.9 years. A majority were found to be Identity Achievers on the Marcia instrument, and the group scored significantly higher on a structured measure of self-esteem (TSCS) in comparison to national norms. A quarter of the sample reported positive change after widowhood, 39 percent reported mixed effects, and only 30 percent reported only negative change. The results are discussed in terms of Erikson's developmental theory, suggesting that intimacy may be a more central issue of widowhood than ego identity. Further, little support is given the pathological sheen often attributed to widowhood. Rather, the data better fit a developmental or growth model of crisis resolution.

Fitting and calibrating a three-level mixed effects cork growth model

2021 ◽  
Vol 497 ◽  
pp. 119510
Author(s):  
Mariola Sánchez-González ◽  
María Felisa Sánchez ◽  
Cristina Prades
Keyword(s):  
Growth Model ◽  
Mixed Effects ◽  
Cork Growth

Implications of fault array evolution for synrift depocentre development: insights from a numerical fault growth model

2000 ◽  
Vol 12 (3-4) ◽  
pp. 241-261 ◽  
Author(s):  
P. A. Cowie ◽  
S. Gupta ◽  
N. H. Dawers
Keyword(s):  
Growth Model ◽  
Fault Growth

Modeling Intraindividual Variability in Three-Level Multilevel Models

Methodology ◽  
2018 ◽  
Vol 14 (3) ◽  
pp. 95-108 ◽  
Author(s):  
Steffen Nestler ◽  
Katharina Geukes ◽  
Mitja D. Back
Keyword(s):  
Multilevel Model ◽  
Multilevel Models ◽  
Mixed Effects ◽  
Repeated Measurements ◽  
Scale Model ◽  
Suggested Approach ◽  
Psychological Study ◽  
Level Data ◽  
Ecological Momentary ◽  
Momentary Assessment

Abstract. The mixed-effects location scale model is an extension of a multilevel model for longitudinal data. It allows covariates to affect both the within-subject variance and the between-subject variance (i.e., the intercept variance) beyond their influence on the means. Typically, the model is applied to two-level data (e.g., the repeated measurements of persons), although researchers are often faced with three-level data (e.g., the repeated measurements of persons within specific situations). Here, we describe an extension of the two-level mixed-effects location scale model to such three-level data. Furthermore, we show how the suggested model can be estimated with Bayesian software, and we present the results of a small simulation study that was conducted to investigate the statistical properties of the suggested approach. Finally, we illustrate the approach by presenting an example from a psychological study that employed ecological momentary assessment.

Extremism Leads to Ostracism

2020 ◽  
Vol 51 (3) ◽  
pp. 149-156
Author(s):  
Andrew H. Hales ◽  
Kipling D. Williams
Keyword(s):  
Mixed Effects ◽  
Social Connection ◽  
Mixed Effects Modeling ◽  
Activist Groups

Abstract. Ostracism has been shown to increase openness to extreme ideologies and groups. We investigated the consequences of this openness-to-extremity from the perspective of potential ostracizers. Does openness-to-extremity increase one’s prospects of being ostracized by others who are not affiliated with the extreme group? Participants rated willingness to ostracize 40 targets who belong to activist groups that vary in the type of goals/cause they support (prosocial vs. antisocial), and the extremity of their actions (moderate vs. extreme). Mixed-effects modeling showed that people are more willing to ostracize targets whose group engages in extreme actions. This effect was unexpectedly stronger for groups pursuing prosocial causes. It appears openness-to-extremity entails interpersonal cost, and could increase reliance on the extreme group for social connection.

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