scholarly journals Sibling Bullying in Turkish Adolescents: Translation and Cross-Cultural Validation of the Sibling Bullying Questionnaire

2021 ◽  
Author(s):  
Emre Deniz ◽  
Pelin Derinalp ◽  
Ilayda Gulkanat ◽  
Cagla Kaz ◽  
Neslihan Özhan ◽  
...  

Purpose: The primary aim of this study was to translate the Sibling Bullying Questionnaire (SBQ) into Turkish and validate it. A secondary aim was to estimate the prevalence of sibling bullying in Turkish adolescents. Methods: The SBQ was forward and backwards translated by a team of English-Turkish bilinguals. Following this, self-report data were collected from Turkish adolescents (N=301) aged 10 to 18 years old (mean age=14.25 years, SD=2.46). Confirmatory factor analysis (CFA) was used to confirm the factor structure of the newly translated Turkish SBQ (T-SBQ). Descriptive analyses were then conducted to report the characteristics of the sample and the prevalence of sibling bullying. Results: CFA confirmed the original two-factor structure of the T-SBQ indicating that a first-order correlated two-factor (victimisation and perpetration) model show the best model fit: x2=160.33 (p <.001), df=61, RMSEA=.07, CFI=.95 and TLI=.93. The T-SBQ also showed satisfactory levels of internal consistency in victimisation (α=.84) and perpetration (α=.83) subscales with excellent reliability for the overall test scale (α=.90). The convergent validity of the scale was also high as demonstrated by the inter-scale correlation coefficients between the T-SBQ and Revised Sibling Bullying Questionnaire (α=.79). In terms of sibling bullying prevalence, approximately half of the adolescents (51%) reported having been involved in some form of sibling bullying in the preceding six months, either as pure-victim (18%), pure-bully (3%) or bully-victim (30%).Conclusions: The T-SBQ is valid and reliable in measure sibling bullying in Turkish adolescents and sibling bullying is prevalent in the lives of Turkish adolescents.Keywords. Sibling bullying, prevalence Turkish questionnaire, translation, validation

Author(s):  
Emre Deniz ◽  
Pelin Derinalp ◽  
Ilayda Gulkanat ◽  
Cagla Kaz ◽  
Neslihan Ozhan ◽  
...  

AbstractThe primary aim of this study was to translate the Sibling Bullying Questionnaire (SBQ) into Turkish and validate it. A secondary aim was to estimate the prevalence of sibling bullying in Turkish adolescents. The SBQ was translated by a team of English-Turkish bilinguals. Self-report data were collected from Turkish adolescents (N = 301) aged 10 to 18 years old (mean age = 14.25 years, SD = 2.46). Confirmatory factor analysis (CFA) was used to confirm the factor structure of the newly translated Turkish SBQ (T-SBQ). Descriptive analyses were then conducted to report the characteristics of the sample and the prevalence of sibling bullying. CFA confirmed the original two-factor structure of the T-SBQ indicating that a first-order correlated two-factor model shows the best fit: x2=160.33 (p < 0.001), df = 61, RMSEA = 0.07, CFI = 0.95 and TLI = 0.93. The T-SBQ showed satisfactory levels of internal consistency in victimisation (α = 0.84) and perpetration (α = 0.83) subscales, excellent reliability in the overall test scale (α = 0.90), and a high level of convergent validity when compared with the Revised Sibling Bullying Questionnaire (α = 0.79). In terms of sibling bullying prevalence, approximately half of the adolescents (51%) reported having been involved in some form of sibling bullying in the preceding six months, either as pure-victim (18%), pure-bully (3%) or bully-victim (30%). This result aligns with the findings from other countries such as the United States (41%), Israel (51%), and the United Kingdom (49%). The T-SBQ is valid and reliable in measuring sibling bullying in Turkish adolescents and sibling bullying is prevalent in the lives of Turkish adolescents.


2021 ◽  
pp. 027623662110656
Author(s):  
Joshua Wilt ◽  
Nick Stauner ◽  
Ross W. May ◽  
Frank D. Fincham ◽  
Kenneth I Pargament ◽  
...  

We tested preregistered hypotheses (a) examining the structure of supernatural beliefs and perceived experiences and (b) predicting supernatural engagement from the Big Five and cognitive styles. Exploratory and confirmatory factor analysis (CFA) of self-report data in the U.S. undergraduates (Study 1: n = 1,401; Study 2: n = 1,939) showed that beliefs and perceived experiences were characterized by two factors. Positive and Negative Agents factors related strongly to religious belief salience and were defined by God, the devil, angels, demons, and ghosts/spirits, whereas Forces and Spirits factors were unrelated to religious belief salience and were defined by fate/destiny, karma, and ghosts/spirits. Extraversion, conscientiousness, experiential processing, schizotypy, and dissociative tendencies related positively to supernatural engagement. With some nuances, agreeableness, neuroticism, and need for closure were positive predictors, whereas skepticism and analytical-rational processing were negative predictors. Openness and intellectual humility did not relate positively to supernatural engagement, contradicting expectations. Because the literature on individual differences predictors of supernatural engagement is not well integrated, these results may contribute to a more comprehensive understanding of this topic.


2011 ◽  
Vol 109 (3) ◽  
pp. 990-1000 ◽  
Author(s):  
Dong-Gwi Lee ◽  
Hanna Suh ◽  
Hee-Kyung Lee

This study explored the factor structure of the Korean version of the Perfectionistic Self-Presentation Scale, originally developed by Hewitt and colleagues in 2003 with three factors (Perfectionistic Self-promotion, Non-display of Imperfection, and Non-disclosure of Imperfection). In Study 1, a confirmatory factor analysis was performed on the Korean version with 27 items for 151 Korean college students, but the model fit was poor. Subsequently, an exploratory factor analysis was conducted, and the results yielded three factors as found in Hewitt, et al., yet with 20 items rather than the original 27 items. This new version had good internal consistency (Cronbach's alpha = .88); convergent validity estimate was established with a measure of self-presentation motivation. In Study 2, to support the structural validity of the Korean version, another confirmatory factor analysis was conducted with 203 Korean college students. The model fit was good, but a few amendments were made.


2020 ◽  
Vol 11 ◽  
Author(s):  
Jacqueline R. Anderson ◽  
Michael Killian ◽  
Jennifer L. Hughes ◽  
A. John Rush ◽  
Madhukar H. Trivedi

IntroductionResilience is a factor in how youth respond to adversity. The 88-item Adolescent Resilience Questionnaire is a comprehensive, multi-dimensional self-report measure of resilience developed with Australian youth.MethodsUsing a cross-sectional adolescent population (n = 3,222), confirmatory factor analysis was conducted to replicate the original factor structure. Over half of the adolescents were non-white and 9th graders with a mean age of 15.5.ResultsOur exploratory factor analysis shortened the measure for which we conducted the psychometric analyses. The original factor structure was not replicated. The exploratory factor analysis provided a 49-item measure. Internal consistency reliability for all 12 factors ranged from acceptable (α&gt; 0.70–0.80). The revised factor total scores were highly and significantly correlated with item–total correlation coefficients (r &gt; 0.63, p &lt; 0.001).ConclusionThis revised shorter 49-item version of the Adolescent Resilience Questionnaire could be deployed and has acceptable psychometric properties.


Author(s):  
Italo Testa ◽  
Giovanni Costanzo ◽  
Alessio Parlati ◽  
Francesca Tricò

In this study, we present a new questionnaire, the Science Activities Evaluation Engagement (SAEE) instrument, for the evaluation of the students’ engagement in STEM oriented extra-curricular activities. The questionnaire was administered to about 1000 secondary school students who participated in the activities of the Piano Nazionale Lauree Scientifiche in Biology, Chemistry and Physics. Through an exploratory and confirmatory factor analysis, it was possible to validate a four-factor structure of the instrument: Satisfaction with the followed activities; Utility of the activities; Difficulties in following the activities; Involvement of close people. The obtained factor structure shows a good model fit, with each of the obtained scales showing an excellent reliability. Criterion validity was established through the academic motivation scale. The proposed instrument shows also an adequate convergent validity and a sufficient discriminant validity. Implications of the study for the evaluation of Third Mission activities of the Italian universities are also briefly discussed.


Author(s):  
Johan Berg ◽  
Lars-Gunnar Lundh ◽  
Fredrik Falkenström

Questionnaires need testing of reliability and factor structure before clinical use or research in new languages or cultures. The aim of this study was to evaluate the Therapist Response Questionnaire (TRQ) in Sweden compared to corresponding factor analyses in USA and Italy. A national sample of psychotherapists (N=242) registered their countertransference with a single client using TRQ. The data were analyzed with confirmatory factor analysis (CFA) to test factor structures from previous studies, and exploratory factor analysis (EFA). The CFA did not verify the factor structure from the previous studies. The EFA extracted seven factors as the best solution: Helpless/Inadequate, Overwhelmed/Disorganized, Hostile/Angry, Parental/Protective, Disengaged, Special/Overinvolved, Sexualized. Analysis of convergent validity indicated that five of these could be considered equivalent to factors in the previous studies, and the remaining two were conceptually related to corresponding factors. Even though the factor structure was not confirmed by the CFA, the concordance was large, indicating a reliable self-report instrument with promising validity for measurement of complex aspects of countertransference. Common countertransference themes can inform psychotherapy supervision and education, give feedback to the therapist, and lay ground for a taxonomy for therapist reactions and feelings.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Evan M. Kleiman ◽  
Kate H. Bentley ◽  
Joseph S. Maimone ◽  
Hye-In Sarah Lee ◽  
Erin N. Kilbury ◽  
...  

AbstractThere has been growing interest in using wearable physiological monitors to passively detect the signals of distress (i.e., increases in autonomic arousal measured through increased electrodermal activity [EDA]) that may be imminently associated with suicidal thoughts. Before using these monitors in advanced applications such as creating suicide risk detection algorithms or just-in-time interventions, several preliminary questions must be answered. Specifically, we lack information about whether: (1) EDA concurrently and prospectively predicts suicidal thinking and (2) data on EDA adds to the ability to predict the presence and severity of suicidal thinking over and above self-reports of emotional distress. Participants were suicidal psychiatric inpatients (n = 25, 56% female, M age = 33.48 years) who completed six daily assessments of negative affect and suicidal thinking duration of their psychiatric inpatient stay and 28 days post-discharge, and wore on their wrist a physiological monitor (Empatica Embrace) that passively detects autonomic activity. We found that physiological data alone both concurrently and prospectively predicted periods of suicidal thinking, but models with physiological data alone had the poorest fit. Adding physiological data to self-report models improved fit when the outcome variable was severity of suicidal thinking, but worsened model fit when the outcome was presence of suicidal thinking. When predicting severity of suicidal thinking, physiological data improved model fit more for models with non-overlapping self-report data (i.e., low arousal negative affect) than for overlapping self-report data (i.e., high arousal negative affect). These findings suggest that physiological data, under certain contexts (e.g., when combined with self-report data), may be useful in better predicting—and ultimately, preventing—acute increases in suicide risk. However, some cautious optimism is warranted since physiological data do not always improve our ability to predict suicidal thinking.


2021 ◽  
Author(s):  
Evan Kleiman ◽  
Kate Bentley ◽  
Joseph Maimone ◽  
Sarah Lee ◽  
Erin Kilbury ◽  
...  

Abstract There has been growing interest in using wearable physiological monitors to passively detect the signals of distress (i.e., increases in autonomic arousal measured through increased electrodermal activity [EDA]) that may be imminently associated with suicidal thoughts. Before using these monitors in advanced applications such as creating suicide risk detection algorithms or just-in-time interventions, several preliminary questions must be answered. Specifically, we lack information about whether: (1) EDA concurrently and prospectively predicts suicidal thinking and (2) data on EDA adds to the ability to predict the presence and severity of suicidal thinking over and above self-reports of emotional distress. Participants (n=25, 56% female, M age= 33.48 years) completed six daily assessments of negative affect and suicidal thinking duration of their psychiatric inpatient stay and 28 days post-discharge, and wore on their wrist a physiological monitor (Empatica Embrace) that passively detects autonomic activity. We found that physiological data alone both concurrently and prospectively predicted periods of suicidal thinking, but models with physiological data alone had the poorest fit. Adding physiological data to self-report models improved fit when the outcome variable was severity of suicidal thinking, but worsened model fit when the outcome was presence of suicidal thinking. When predicting severity of suicidal thinking, physiological data improved model fit more for models with non-overlapping self-report data (i.e., low arousal negative affect) than for overlapping self-report data (i.e., high arousal negative affect).These findings suggest that physiological data, under certain contexts, may be useful in better predicting -- and ultimately, preventing -- acute increases in suicide risk. However, some cautious optimism is warranted since physiological data do not always improve our ability to predict suicidal thinking


2020 ◽  
Author(s):  
David John Hallford ◽  
David W. Austin

The Temporal Experience of Pleasure Scale (TEPS) is a multidimensional self-report measure that has been used to improve understanding of anticipation (“wanting”) and consummation (“liking”) of reward. The TEPS has been used to assess anhedonia in clinical depression, but its factor structure has not yet been confirmed in this population. This seems important given mixed findings on the model fit and factor structure of the TEPS in clinical and community samples. To remedy this, the current study used confirmatory factor analysis to test models of the TEPS items across three studies: 1) in adults with major depression (N = 334), 2) in youth with major depression (N = 305), and 3) in a community sample (N = 320). In summary, the model fit of the two-factor TEPS scales was adequate in depressed and community Australian samples. Nevertheless, some items may require removal or revision based on cultural preferences for pleasurable experiences. On comparing the clinical and community groups, deficits in the experience of pleasure in depression were replicated, and were more pronounced in anticipatory pleasure/wanting (d = 1.33) relative to consummatory pleasure/liking (d = 0.64).


2020 ◽  
Vol 7 (2) ◽  
pp. 173-184
Author(s):  
Syeda Shahida Batool ◽  
Hira Jahangier

The current study aimed to translate Trust in Close Relationship Scale in Urdu for married couples in Pakistan and to establish its psychometric properties. The forward and backward translation method was used for the translation of the scale followed by the try-out phase.  After determining the cross language validation, in order to confirm the factor structure of the scale, a confirmatory factor analysis (CFA) was run.  The sample comprised of 250 participants of different age groups (M = 39.7, SD = 10.1). The results of CFA supported the original three-factor structure of the scale (viz., Avoidance, Benevolence and Retaliation) by providing a good model fit to the data with values of X2 = 229.61 (df = 110, p < .001), CFI =.91, GFI = .91, and RMSEA = .06. Cronbach’s alpha reliability coefficient of the scale was α= .87. The convergent validity of the scale was determined on a sample of 100 participants by finding its correlation with Trust Scale (r = .72, p < .001). The results support that the scale has promising.    


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