Savaş Karataş

Savaş Karataş
Martin-Luther-University Halle-Wittenberg · Educational Psychology – Socialization and Culture

PhD

About

16
Publications
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Citations
Introduction
Savaş Karataş is a postdoctoral research fellow at the Department of Education and Pedagogy, Educational Psychology – Socialisation and Culture Research Group at Martin Luther University Halle-Wittenberg in Germany. His primary research interests include acculturation processes and cultural diversity climate in schools.

Publications

Publications (16)
Article
Full-text available
This study investigated the associations between cultural diversity approaches endorsed by teachers and adolescents' positive and negative intergroup contact in schools. Participants were 984 adolescents (Mage = 14.66; 62.7% female; 24.8% ethnic minority) involved in a three-wave longitudinal study between 2019 and 2020. Results highlighted that pe...
Article
Full-text available
Given that adolescents from migrant families live within at least two cultural contexts (i.e., the heritage and the destination cultures), they generally must negotiate and construct ethnic and national identities. Accordingly, the present three-wave longitudinal study was designed to identify distinct developmental trajectories of ethnic and natio...
Article
Full-text available
This study aims to tackle positive and negative intergroup contact in school and out-of-school contexts to test whether a spillover effect (i.e., the extent to which experiences that individuals have in one context spill over into another) applies to intergroup contact. Participants were 984 adolescents (Mage = 14.66; 62.7% female; 24.8% ethnic min...
Article
Full-text available
Personal identity and social identification processes can be challenging for adolescents belonging to an ethnic minority, who have to cope with the acculturation task of navigating several (and often conflictual) alternatives put forth by their cultural heritage community and destination society. Because identity and acculturation tasks are embedde...
Article
Full-text available
In the present contribution, we aimed to test the psychometric properties of the Intergroup Contact Interactions Scale (ICIS). The ICIS is a tool that can easily be administered to assess ethnic minority and majority adolescents’ positive and negative intergroup contact in both school and out-of-school contexts. Study I included 169 adolescents in...
Book
Full-text available
An international group of university scholars has developed this book, as a response to the “post-truth” world, where youth increasingly rely on information from unverified and often undocumented sources coming from different social media outlets. Disadvantaged and marginalized groups, like immigrants, ethnic minorities, people with low socioeconom...
Article
The Utrecht-Management of Identity Commitments Scale (U-MICS) is a widely applied identity measure. It is used to assess the identity processes encompassed in the three-factor identity model (commitment, in-depth exploration, and reconsideration of commitment). The purpose of this study was to validate the Serbian version of the U-MICS in an adult...
Article
Full-text available
Friendships have important implications for adolescents’ psychological and social adjustment. However, there is still limited evidence on how different same‐ethnic and cross‐ethnic friendships are formed and regarding their role in refugee adjustment. Therefore, the present study was designed to examine the interplay of parents’ and adolescents’ sa...
Article
Full-text available
Recent developments in the acculturation literature have emphasized the importance of adopting inter-group perspectives that provide a valuable background for investigating how acculturation orientations (i.e., maintenance of the culture of origin and the adoption of the destination culture) of adolescents from migrant families are embedded in thei...
Article
Full-text available
The first aim of the present study was to test the construct validity of the Turkish version of the Individuation Test for Emerging Adults – Short Form (ITEA-S) in relation to mother and father. Furthermore, we investigated the associations of gender, age, and perceived individuation in relation to mother and father with attachment dimensions in Tu...
Article
Full-text available
The aim of the present study is to test the factor structure and reliability of the Experience of Close Relationships-Relationship Structures Scale (ECR-RS) mother, father, romantic partner, close friend forms among Turkish adolescents. In order to test the structure validity of the ECR-RS, exploratory factor analysis is performed on a sample of 21...
Chapter
Full-text available
The purpose of the present study is twofold: The first to understand the relative associations of gender, age and romantic relationship status on the five individuation scales in relation to mother and father separately. The first sample consisted of 560 emerging adults. The participants were university students aged from 18 to 29 years. Participan...
Article
Full-text available
ABSTRACT: The aim of the current study is to examine the experiences and thoughts of adolescents’ about their relationships with parents. In accordance with the purpose of the study, six focus group discussions were conducted in six high schools in Istanbul. The participants were 22 girls and 25 boys, totally 47 adolescents. The participants’ ages...
Thesis
Full-text available
ATTACHMENT AND IDENTITY STATUS AMONG ADOLESCENTS: EXAMINING THE MEDIATING ROLE OF THE BASIC PSYCHOLOGICAL NEEDS The aim of the present study is twofold: The first purpose is to test the psychometric properties of the Experience of Close Relationships-Relationship Structures scale (ECR-RS) mother, father, romantic partner, best friend forms among Tu...

Questions

Questions (3)
Question
I have run the model with manifest indicators in Mplus. The model is saturated, but the Chi-square is .001. Would it be possible to have Chi-square = .001 in the saturated model? If so, what it means?
p.s. the sample size is quite large, including nearly 600.000 participants.
Question
Dear all,
I am eager to conduct power analysis by employing the Monte Carlo simulation available in Mplus. I have run a Multivariate Latent Growth Curve model (MLGCM) with my three-wave longitudinal data in my study, and thus, I have followed the guideline presented by Muthen & Muthen (2002; ). However, I guess, I am a systematic mistake (see, the attached output of monte carlo simulation for % sig. coefficient for mean score for SNAT = .134) but, unfortunately, I cannot find out what the problem/mistake is. Is there anyone who might help out to find the mistake(s)?
The out of the Monte Carlo simulation is attached. Besides, you can see the output of my MLGCM below. Thanks in advance for any kind of help!
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
INAT |
ID_T1 1.000 0.000 999.000 999.000
ID_T2 1.000 0.000 999.000 999.000
ID_T3 1.000 0.000 999.000 999.000
SNAT |
ID_T1 0.000 0.000 999.000 999.000
ID_T2 1.000 0.000 999.000 999.000
ID_T3 2.000 0.000 999.000 999.000
IET |
ID_G1 1.000 0.000 999.000 999.000
ID_G2 1.000 0.000 999.000 999.000
ID_G3 1.000 0.000 999.000 999.000
SET |
ID_G1 0.000 0.000 999.000 999.000
ID_G2 1.000 0.000 999.000 999.000
ID_G3 2.000 0.000 999.000 999.000
SNAT WITH
INAT -0.083 0.041 -2.037 0.042
IET WITH
INAT -0.208 0.080 -2.582 0.010
SNAT 0.019 0.034 0.556 0.578
SET WITH
INAT 0.063 0.037 1.732 0.083
SNAT 0.017 0.014 1.178 0.239
IET -0.205 0.087 -2.361 0.018
Means
INAT 3.497 0.061 57.275 0.000
SNAT -0.027 0.026 -1.018 0.309
IET 3.479 0.078 44.763 0.000
SET -0.129 0.035 -3.713 0.000
Intercepts
ID_T1 0.000 0.000 999.000 999.000
ID_T2 0.000 0.000 999.000 999.000
ID_T3 0.000 0.000 999.000 999.000
ID_G1 0.000 0.000 999.000 999.000
ID_G2 0.000 0.000 999.000 999.000
ID_G3 0.000 0.000 999.000 999.000
Variances
INAT 0.706 0.092 7.662 0.000
SNAT 0.079 0.031 2.568 0.010
IET 1.141 0.156 7.316 0.000
SET 0.148 0.069 2.135 0.033
Residual Variances
ID_T1 0.131 0.068 1.929 0.054
ID_T2 0.244 0.040 6.055 0.000
ID_T3 0.057 0.063 0.901 0.368
ID_G1 0.115 0.116 0.998 0.318
ID_G2 0.338 0.059 5.696 0.000
ID_G3 0.139 0.105 1.324 0.186
Question
Dear all,
I wonder how can I test the reliability of a single-item measure that I have used in my paper. I have found equation 9 of Heise (1969; https://www.jstor.org/stable/pdf/2092790.pdf); however, I could not reach a cut-off for such free of temporal changes test-retest correlations. If you have any sources regarding these estimates, you are very welcome to share them here.
Thanks

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