Pathological Worry in Portugal: The Portuguese Version of the Penn State Worry Questionnaire (PSWQ)

2019 ◽  
Vol 22 ◽  
Author(s):  
Antonia María Jiménez-Ros ◽  
José Carmona-Márquez ◽  
Luís Miguel Pascual
Keyword(s):  
Normative Data ◽  
Psychometric Characteristics ◽  
Penn State Worry Questionnaire ◽  
Confirmatory Factor ◽  
Daily Events ◽  
Penn State ◽  
Future Events ◽  
Pathological Worry ◽  
State Worry ◽  
Methodological Considerations

Abstract Worry is a common phenomenon with people who anticipate and want to be prepared for future events. Pathological worry, however, is not limited to anticipating potentially dangerous events, but it is applied to small daily events, too. This kind of worry is perceived as uncontrollable, and it is strongly associated with catastrophism. The Penn State Worry Questionnaire (PSWQ) was developed to assess pathological worry. Despite its excellent psychometric characteristics, its internal structure is still controversial. The combination of regular and reversed items and certain methodological considerations may account for the discrepancies in the results of previous investigations. With the aim to analyze worry in Portugal and the psychometric properties of the PSWQ, for the present study, methodological options were considered in order to minimize previous problems. A sample of 558 Portuguese community participants took part in this study. Exploratory and Confirmatory Factor Analysis were performed with two independent random subsamples. The results showed the unidimensionality of PSWQ and the psychometric adequacy of both the full, 16-item version and a reduced, 11-item version (without reversed scored items). Normative data are presented, the suitability of both versions is discussed, and the authors conclude by encouraging the use of the reduced, 11-item version of the PSWQ in applied settings.

scholarly journals Normative data for the Dutch version of the Penn State Worry Questionnaire

2009 ◽  
Vol 65 (2) ◽  
pp. 69-75 ◽  
Author(s):  
Colin van der Heiden ◽  
Peter Muris ◽  
Arjan E. R. Bos ◽  
Henk van der Molen ◽  
Martijn Oostra
Keyword(s):  
Normative Data ◽  
Dutch Version ◽  
Penn State Worry Questionnaire ◽  
Penn State ◽  
State Worry

Penn State Worry Questionnaire in emotional disorders: validation and normative data for Portuguese population

2021 ◽  
pp. 1-11
Author(s):  
João Tiago Oliveira ◽  
Divo Faustino ◽  
Fátima Freitas ◽  
Miguel M. Gonçalves ◽  
Eugénia Ribeiro ◽  
...  
Keyword(s):  
Emotional Disorders ◽  
Normative Data ◽  
Portuguese Population ◽  
Penn State Worry Questionnaire ◽  
Penn State ◽  
State Worry

Confirmatory factor analysis of the Penn State Worry Questionnaire

2002 ◽  
Vol 40 (3) ◽  
pp. 313-323 ◽  
Author(s):  
David M Fresco ◽  
Richard G Heimberg ◽  
Douglas S Mennin ◽  
Cynthia L Turk
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Penn State Worry Questionnaire ◽  
Confirmatory Factor ◽  
Penn State ◽  
State Worry

Psychometric Characteristics of the Penn State Worry Questionnaire in an Argentinean Sample: A Cross-Cultural Contribution

2011 ◽  
Vol 14 (1) ◽  
pp. 452-463 ◽  
Author(s):  
Ricardo Rodríguez-Biglieri ◽  
Giselle Lorena Vetere
Keyword(s):  
Anxiety Disorders ◽  
Discriminant Validity ◽  
Reliability And Validity ◽  
Cross Cultural ◽  
Factorial Structure ◽  
Psychometric Characteristics ◽  
Characteristic Analysis ◽  
Penn State Worry Questionnaire ◽  
Penn State ◽  
State Worry

Although studies in several populations have provided support for Penn State Worry Questionnaire (PSQW) reliability and validity, factor analysis studies carried out on different populations show divergent results. The aim of this article is to contribute with the cross-cultural literature on PSWQ. This report describes two studies examining the psychometric characteristics of a revised Argentinean version of the PSWQ. In the first study, items of original PSWQ were translated into Spanish and then back-translated into English. Then, in order to examine its reliability and factorial structure, the instrument was completed by 400 community participants. The second study included two groups of participants as follows: patients with generalized anxiety disorder (GAD), and patients with other anxiety disorders (AC). Results revealed appropriated test-retest reliability over a four-week period, high internal consistency, and good convergent and discriminant validity for PSWQ. In concordance with some results reported in previous studies, a single factorial structure was confirmed for the Argentinean version of PSWQ. By the other hand, a receiver operating characteristic analysis was made to evaluate the ability of PSWQ to discriminate GAD from individuals with others anxiety disorders. A total score of 63 simultaneously optimized sensitivity and specificity in discriminating GAD patients from patients with others anxiety disorders.

scholarly journals The Penn State Worry Questionnaire Is Invariant Across Age Groups

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 372-372
Author(s):  
Robert Intrieri ◽  
Paige Goodwin
Keyword(s):  
Factor Model ◽  
Weighted Least Squares ◽  
Age Groups ◽  
Self Report ◽  
Confirmatory Factor Analyses ◽  
Penn State Worry Questionnaire ◽  
Confirmatory Factor ◽  
Penn State ◽  
State Worry ◽  
Additional Support

Abstract Prevalence of GAD is between 3 to 5% with onset in the early to mid-twenties (Kessler et al. 2009). The Penn State Worry Questionnaire (PSWQ) is a 16-item self-report instrument assessing generalized anxiety symptoms (Meyers, et al., 1990; Molina & Borkovec, 1994). Brown (2003) and Olatunji et al. (2007) conducted Confirmatory Factor Analyses identifying a two factor model of Worry Engagement and Absence of Worry. No published studies have examined the factor structure of the PSWQ across age groups. The current study presents data from 612 people across three groups: 221 young adults (Mage = 19.31, SD = 1.21), 283 middle-age adults (Mage = 48.27, SD = 5.13), and 108 older adults (Mage = 72.95, SD = 7.19). An ordinal confirmatory factor analysis (CFA) using robust weighted least squares (WLSMV) tested for invariance across groups. Results showed CFI/TLI values of .983/.981, 984/.983, and .981/.984 for Configural (CI), Metric (MI), and Scalar (SI) models. The RMSEA for CI, MI, and SI models was .064, .061, and .059. Based upon Cheung and Rensvold (2002), Sass (2011), and Chen (2007), a cutoff of ΔCFI ≥ 0.01 was established as evidence of invariance. The ΔCFI between CI and MI models was < .01 so analysis continued with the SI test. The ΔCFI between MI and SI models was < 0.01 and did not justify rejection of the null hypothesis. These analyses suggest PSWQ scores are valid across age groups and provide additional support for the multidimensional nature of the PSWQ.

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