Analysing multisource feedback with multilevel structural equation models: Pitfalls and recommendations from a simulation study

2019 ◽  
Vol 72 (2) ◽  
pp. 294-315
Author(s):  
Jana Mahlke ◽  
Martin Schultze ◽  
Michael Eid
Keyword(s):  
Simulation Study ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Multisource Feedback ◽  
Multilevel Structural Equation

A Between- and Within-Person Analysis of Parenting and Time Spent in Criminogenic Settings During Adolescence: The Role of Self-Control and Delinquent Attitudes

2016 ◽  
Vol 50 (2) ◽  
pp. 229-254 ◽  
Author(s):  
Heleen J. Janssen ◽  
Gerben J. N. Bruinsma ◽  
Maja Deković ◽  
Veroni I. Eichelsheim
Keyword(s):  
Panel Data ◽  
Indirect Effects ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Physical Characteristics ◽  
Self Control ◽  
Adolescent Delinquency ◽  
Multilevel Structural Equation

Although spending time in criminogenic settings is increasingly recognized as an explanation for adolescent delinquency, little is known about its determinants. The current study aims to examine the extent to which (change in) self-control and (change in) delinquent attitudes relate to (change in) time spent in criminogenic settings, and the extent to which they mediate the effects of (change in) parenting. Time spent in criminogenic settings was measured comprehensively, by including social and physical characteristics of micro settings (200 × 200 meters). Multilevel structural equation models on two waves of panel data on 603 adolescents (aged 12-19) showed that self-control and delinquent attitudes contributed to between-person differences in time spent in criminogenic settings. Within-person increases in time spent in such settings were predicted by increased delinquent attitudes. For indirect effects, self-control partially mediated between-person effects of parenting, whereas delinquent attitudes partially mediated both between- and within-person effects.

scholarly journals The Impact of Intraclass Correlation on the Effectiveness of Level-Specific Fit Indices in Multilevel Structural Equation Modeling

2016 ◽  
Vol 77 (1) ◽  
pp. 5-31 ◽  
Author(s):  
Hsien-Yuan Hsu ◽  
Jr-Hung Lin ◽  
Oi-Man Kwok ◽  
Sandra Acosta ◽  
Victor Willson
Keyword(s):  
Structural Equation ◽  
Structural Equation Models ◽  
Intraclass Correlation ◽  
Monte Carlo Study ◽  
Multilevel Structural Equation Modeling ◽  
Equation Modeling ◽  
Saturated Model ◽  
Fit Indices ◽  
The Impact ◽  
Multilevel Structural Equation

Several researchers have recommended that level-specific fit indices should be applied to detect the lack of model fit at any level in multilevel structural equation models. Although we concur with their view, we note that these studies did not sufficiently consider the impact of intraclass correlation (ICC) on the performance of level-specific fit indices. Our study proposed to fill this gap in the methodological literature. A Monte Carlo study was conducted to investigate the performance of (a) level-specific fit indices derived by a partially saturated model method (e.g., [Formula: see text] and [Formula: see text]) and (b) [Formula: see text] and [Formula: see text] in terms of their performance in multilevel structural equation models across varying ICCs. The design factors included intraclass correlation (ICC: ICC1 = 0.091 to ICC6 = 0.500), numbers of groups in between-level models (NG: 50, 100, 200, and 1,000), group size (GS: 30, 50, and 100), and type of misspecification (no misspecification, between-level misspecification, and within-level misspecification). Our simulation findings raise a concern regarding the performance of between-level-specific partial saturated fit indices in low ICC conditions: the performances of both [Formula: see text] and [Formula: see text] were more influenced by ICC compared with [Formula: see text] and SRMRB. However, when traditional cutoff values ( RMSEA≤ 0.06; CFI, TLI≥ 0.95; SRMR≤ 0.08) were applied, [Formula: see text] and [Formula: see text] were still able to detect misspecified between-level models even when ICC was as low as 0.091 (ICC1). On the other hand, both [Formula: see text] and [Formula: see text] were not recommended under low ICC conditions.

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