PsycEXTRA Dataset 2014
DOI: 10.1037/e529382014-059
|View full text |Cite
|
Sign up to set email alerts
|

The Association between Child Maltreatment and Adult Revictimization: The Contribution of Early Maladaptive Schemas

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2017
2017
2021
2021

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 45 publications
0
2
0
Order By: Relevance
“…This formula accounts for dependence between effect sizes when averaging scores that are correlated with one another based on the sample size and estimated correlation between constructs or subscales. To estimate the correlation between individual EMS scores and domains for the present study, the correlations between individual EMS scores and domains were extracted from all studies where they were reported (Atkins, 2017; Calvete & Orue, 2010; Calvete, Corral, & Estévez, 2007; Calvete, Fernandez‐Gonzalez, Gonzalez‐Cabrera, & Gamez‐Guadix, 2018a; Campbell, 2002; Carlucci et al, 2018; Clifton, 1994; Dunne, Gilbert, Lee, & Daffern, 2017; Estévez, Ozerinjauregi, & Herrero‐Fernández, 2016; Farr, 2010; Gay et al, 2013; Hassija, Robinson, Silva, & Lewin, 2018; Janovsky, Clark, & Rock, 2019; McKee et al, 2012; Messman‐Moore & Coates, 2007; Mojallal et al, 2015; Munroe, 2014; Shorey et al, 2015; Stiles, 2004; Yoo, Park, & Jun, 2014). Based on the extracted correlations between all available individual EMS scores and domains, the correlations were averaged to produce an estimated correlation between individual EMS scores ( r = .45) and EMS domains ( r = .60) for use in the formula.…”
Section: Resultsmentioning
confidence: 99%
“…This formula accounts for dependence between effect sizes when averaging scores that are correlated with one another based on the sample size and estimated correlation between constructs or subscales. To estimate the correlation between individual EMS scores and domains for the present study, the correlations between individual EMS scores and domains were extracted from all studies where they were reported (Atkins, 2017; Calvete & Orue, 2010; Calvete, Corral, & Estévez, 2007; Calvete, Fernandez‐Gonzalez, Gonzalez‐Cabrera, & Gamez‐Guadix, 2018a; Campbell, 2002; Carlucci et al, 2018; Clifton, 1994; Dunne, Gilbert, Lee, & Daffern, 2017; Estévez, Ozerinjauregi, & Herrero‐Fernández, 2016; Farr, 2010; Gay et al, 2013; Hassija, Robinson, Silva, & Lewin, 2018; Janovsky, Clark, & Rock, 2019; McKee et al, 2012; Messman‐Moore & Coates, 2007; Mojallal et al, 2015; Munroe, 2014; Shorey et al, 2015; Stiles, 2004; Yoo, Park, & Jun, 2014). Based on the extracted correlations between all available individual EMS scores and domains, the correlations were averaged to produce an estimated correlation between individual EMS scores ( r = .45) and EMS domains ( r = .60) for use in the formula.…”
Section: Resultsmentioning
confidence: 99%
“…Although some conceptualize this increased risk for re-victimization as attributable to behavior variables (e.g. Fargo 2009), others view the pathway as related to elements of family and social environment (Finkelhor et al 2007) or to cycles of negative beliefs and cognitions about the self (Messman and Long 1996;Munroe 2014). Further research utilizing prospective, longitudinal designs that include variables to capture these possible mechanisms and pathways could greatly improve the state of theory concerning victimization and re-victimization.…”
Section: Discussionmentioning
confidence: 99%