scholarly journals Construct Validity and Psychometric Properties of the Hebrew Version of the City Birth Trauma Scale

2018 ◽  
Vol 9 ◽  
Author(s):  
Jonathan E. Handelzalts ◽  
Ilana S. Hairston ◽  
Adi Matatyahu
2021 ◽  
Vol 12 ◽  
Author(s):  
Tobias Weigl ◽  
Franziska Marie Lea Beck-Hiestermann ◽  
Nikola Maria Stenzel ◽  
Sven Benson ◽  
Manfred Schedlowski ◽  
...  

Background: About 3–4% of women in community samples suffer from childbirth-related posttraumatic stress disorder (PTSD). Surprisingly, the recently developed City Birth Trauma Scale (City BiTS) was the first diagnostic tool for childbirth-related PTSD covering DSM-5 criteria for PTSD. Since no questionnaire on childbirth-related PTSD is available in German, we aimed to validate a German translation of the City BiTS and to provide information on its psychometric properties.Methods: A community sample of 1,072 mothers completed an online survey, which included questions on sociodemographic and obstetric characteristics, the German version of the City BiTS, the Impact of Event Scale-Revised (IES-R), the PTSD Checklist for DSM-5 (PCL-5), Edinburgh Postnatal Depression Scale (EPDS), and the anxiety subscale of the Depression, Anxiety, and Stress Scale (DASS-Anxiety).Results: Exploratory factor analysis (EFA) on a random split-half sample confirmed the previously reported two-factorial structure of the City BiTS. The factors “Childbirth-related symptoms” and “General symptoms” explained about 53%, 52% of variance. Internal consistency was good to excellent for the subscales and the total scale (Cronbach's Alpha = 0.89−0.92). In a confirmatory factor analysis (CFA) in the holdout sample the two-factorial solution reached the best model fit out of three models. Correlation analyses showed convergent validity of the City BiTS (total scale and subscales) with the IES-R and PCL-5 and divergent validity with the EPDS and the DASS-Anxiety.Limitations: Data were acquired in a community sample and prevalence rates might not be representative for mothers of high-risk groups, e.g., after preterm birth.Conclusions: The German version of the City BiTS is the first German questionnaire which allows to assess symptoms of childbirth-related PTSD according to DSM-5 criteria. Besides an improvement in clinical routine it will help to make data on prevalence of childbirth-related PTSD internationally comparable. In addition, this work provides a basis to assess childbirth-related PTSD in studies conducted with a longitudinal study design or in high-risk samples.


Author(s):  
André Beauducel ◽  
Burkhard Brocke ◽  
Alexander Strobel ◽  
Anja Strobel

Abstract: Zuckerman postulated a biopsychological multilevel theory of Sensation Seeking, which is part of a more complex multi-trait theory, the Alternative Five. The Sensation Seeking Scale Form V (SSS V) was developed for the measurement of Sensation Seeking. The process of validation of Sensation Seeking as part of a multilevel theory includes analyses of relations within and between several levels of measurement. The present study investigates validity and basic psychometric properties of a German version of the SSS V in a broader context of psychometric traits. - The 120 participants were mainly students. They completed the SSS V, the Venturesomeness- and Impulsiveness-Scales of the IVE, the BIS/BAS-Scales, the ZKPQ and the NEO-FFI. - The results reveal acceptable psychometric properties for the SSS V but with limitations with regard to factor structure. Indications for criterion validity were obtained by prediction of substance use by the subscales Dis and BS. The results of a MTMM analysis, especially the convergent validities of the SSS V were quite satisfying. On the whole, the results yielded sufficient support for the validity of the Sensation Seeking construct or the instrument respectively. They also point to desirable modifications.


Crisis ◽  
2013 ◽  
Vol 34 (1) ◽  
pp. 13-21 ◽  
Author(s):  
Philip J. Batterham ◽  
Alison L. Calear ◽  
Helen Christensen

Background: There are presently no validated scales to adequately measure the stigma of suicide in the community. The Stigma of Suicide Scale (SOSS) is a new scale containing 58 descriptors of a “typical” person who completes suicide. Aims: To validate the SOSS as a tool for assessing stigma toward suicide, to examine the scale’s factor structure, and to assess correlates of stigmatizing attitudes. Method: In March 2010, 676 staff and students at the Australian National University completed the scale in an online survey. The construct validity of the SOSS was assessed by comparing its factors with factors extracted from the Suicide Opinion Questionnaire (SOQ). Results: Three factors were identified: stigma, isolation/depression, and glorification/normalization. Each factor had high internal consistency and strong concurrent validity with the Suicide Opinion Questionnaire. More than 25% of respondents agreed that people who suicided were “weak,” “reckless,” or “selfish.” Respondents who were female, who had a psychology degree, or who spoke only English at home were less stigmatizing. A 16-item version of the scale also demonstrated robust psychometric properties. Conclusions: The SOSS is the first attitudes scale designed to directly measure the stigma of suicide in the community. Results suggest that psychoeducation may successfully reduce stigma.


1996 ◽  
Vol 12 (1) ◽  
pp. 33-42 ◽  
Author(s):  
Marco Perugini ◽  
Luigi Leone

The aim of this contribution is to present a new short adjective-based measure of the Five Factor Model (FFM) of personality, the Short Adjectives Checklist of BIg Five (SACBIF). We present the various steps of the construction and the validation of this instrument. First, 50 adjectives were selected with a selection procedure, the “Lining Up Technique” (LUT), specifically used to identify the best factorial markers of the FFM. Then, the factorial structure and the psychometric properties of the SACBIF were investigated. Finally, the SACBIF factorial structure was correlated with some main measures of the FFM to establish its construct validity and with some other personality dimensions to investigate how well these dimensions could be represented in the SACBIF factorial space.


2013 ◽  
Vol 34 (1) ◽  
pp. 32-40 ◽  
Author(s):  
Matthias Ziegler ◽  
Christoph Kemper ◽  
Beatrice Rammstedt

The present research aimed at constructing a questionnaire measuring overclaiming tendencies (VOC-T-bias) as an indicator of self-enhancement. An approach was used which also allows estimation of a score for vocabulary knowledge, the accuracy index (VOC-T-accuracy), using signal detection theory. For construction purposes, an online study was conducted with N = 1,176 participants. The resulting questionnaire, named Vocabulary and Overclaiming – Test (VOC-T) was investigated with regard to its psychometric properties in two further studies. Study 2 used data from a population representative sample (N = 527), and Study 3 was another online survey (N = 933). Results show that reliability estimates were satisfactory for the VOC-T-bias index and the VOC-T-accuracy index. Overclaiming did not correlate with knowledge, but it was sensitive to self-enhancement supporting the construct validity of the test scores. The VOC-T-accuracy index in turn covaried with general knowledge and even more so with verbal knowledge, which also supports construct validity. Moreover, the VOC-T-accuracy index had a meaningful correlation with age in both validation studies. All in all, the psychometric properties can be regarded as sufficient to recommend the VOC-T for research purposes.


2008 ◽  
Author(s):  
Ayala Daie-Gabai ◽  
Idan Aderka ◽  
Edna Foa ◽  
Naama Shafran ◽  
Eva Gilboa-Schechtman

2019 ◽  
Author(s):  
Ashita S. Gurnani ◽  
Shayne S.-H. Lin ◽  
Brandon E Gavett

Objective: The Colorado Cognitive Assessment (CoCA) was designed to improve upon existing screening tests in a number of ways, including enhanced psychometric properties and minimization of bias across diverse groups. This paper describes the initial validation study of the CoCA, which seeks to describe the test; demonstrate its construct validity; measurement invariance to age, education, sex, and mood symptoms; and compare it to the Montreal Cognitive Assessment (MoCA). Method: Participants included 151 older adults (MAge = 71.21, SD = 8.05) who were administered the CoCA, MoCA, Judgment test from the Neuropsychological Assessment Battery (NAB), 15-item version of the Geriatric Depression Scale (GDS-15), and 10-item version of the Geriatric Anxiety Scale (GAS-10). Results: A single factor confirmatory factor analysis model of the CoCA fit the data well, CFI = 0.955; RMSEA = 0.033. The CoCA’s internal consistency reliability was .84, compared to .74 for the MoCA. The CoCA had stronger disattenuated correlations with the MoCA (r = .79) and NAB Judgment (r = .47) and weaker correlations with the GDS-15 (r = -.36) and GAS-10 (r = -.15), supporting its construct validity. Finally, when analyzed using multiple indicators, multiple causes (MIMIC) modeling, the CoCA showed no evidence of measurement non-invariance, unlike the MoCA. Conclusions: These results provide initial evidence to suggest that the CoCA is a valid cognitive screening tool that offers numerous advantages over the MoCA, including superior psychometric properties and measurement non-invariance. Additional validation and normative studies are warranted.


Author(s):  
Marco Fabbri ◽  
Alessia Beracci ◽  
Monica Martoni ◽  
Debora Meneo ◽  
Lorenzo Tonetti ◽  
...  

Sleep quality is an important clinical construct since it is increasingly common for people to complain about poor sleep quality and its impact on daytime functioning. Moreover, poor sleep quality can be an important symptom of many sleep and medical disorders. However, objective measures of sleep quality, such as polysomnography, are not readily available to most clinicians in their daily routine, and are expensive, time-consuming, and impractical for epidemiological and research studies., Several self-report questionnaires have, however, been developed. The present review aims to address their psychometric properties, construct validity, and factorial structure while presenting, comparing, and discussing the measurement properties of these sleep quality questionnaires. A systematic literature search, from 2008 to 2020, was performed using the electronic databases PubMed and Scopus, with predefined search terms. In total, 49 articles were analyzed from the 5734 articles found. The psychometric properties and factor structure of the following are reported: Pittsburgh Sleep Quality Index (PSQI), Athens Insomnia Scale (AIS), Insomnia Severity Index (ISI), Mini-Sleep Questionnaire (MSQ), Jenkins Sleep Scale (JSS), Leeds Sleep Evaluation Questionnaire (LSEQ), SLEEP-50 Questionnaire, and Epworth Sleepiness Scale (ESS). As the most frequently used subjective measurement of sleep quality, the PSQI reported good internal reliability and validity; however, different factorial structures were found in a variety of samples, casting doubt on the usefulness of total score in detecting poor and good sleepers. The sleep disorder scales (AIS, ISI, MSQ, JSS, LSEQ and SLEEP-50) reported good psychometric properties; nevertheless, AIS and ISI reported a variety of factorial models whereas LSEQ and SLEEP-50 appeared to be less useful for epidemiological and research settings due to the length of the questionnaires and their scoring. The MSQ and JSS seemed to be inexpensive and easy to administer, complete, and score, but further validation studies are needed. Finally, the ESS had good internal consistency and construct validity, while the main challenges were in its factorial structure, known-group difference and estimation of reliable cut-offs. Overall, the self-report questionnaires assessing sleep quality from different perspectives have good psychometric properties, with high internal consistency and test-retest reliability, as well as convergent/divergent validity with sleep, psychological, and socio-demographic variables. However, a clear definition of the factor model underlying the tools is recommended and reliable cut-off values should be indicated in order for clinicians to discriminate poor and good sleepers.


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