Psychometric properties of the Liebowitz Social Anxiety Scale in a large cross-cultural Spanish and Portuguese speaking sample

Caballo, Vicente E.; Salazar, Isabel Cristina; Arias, Víctor; Hofmann, Stefan G.; Curtiss, Joshua

doi:10.1590/1516-4446-2018-0006

Cited by 29 publications

(29 citation statements)

References 32 publications

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“…In fact, Social anxiety disorder has been found to have lower rates of spontaneous remission than Depression and Panic disorder (Bruce et al, 2005), which could very well account for this discrepancy in effects. The MADRS-S and the PDSS-SR are more similar to each other than either one is to the LSAS-SR in terms of score range, number of items and factor structure (the LSAS has been found to have anywhere between 2-8 factors; see Caballo, Salazar, Arias, Hofmann, & Curtiss, 2019 for a brief and up to date summary). While the LSAS-SR is widely used, and can works well for an individual clinician to get a comprehensive picture of a specific patient, it might be less suitable for the type of quantification applied in this thesis.…”

Section: Main Findingsmentioning

confidence: 91%

Predicting treatment failure in regular care Internet-Delivered Cognitive Behavior Therapy for depression and anxiety using only weekly symptom measures.

Forsell

Isacsson

Blom

et al. 2020

Journal of Consulting and Clinical Psychology

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To my family Josefin, Selma and Oskar. Not only did they put up with me during the entire PhD journey, but they also spent the last two weeks of it in quarantine with me because of the coronavirus pandemic of 2020.ABSTRACT Background: Internet-delivered Cognitive Behavior Therapy (ICBT) is efficacious for a number of psychiatric disorders and can be successfully implemented in routine psychiatric care. Still, only about half of patients experience a good enough treatment outcome. Using data from the early part of treatment to identify patients with high risk of not benefitting from it, and target them with additional resources to prevent the predicted failure is a potential way forward. We call this an Adaptive Treatment Strategy, and a very important part of it is the ability to predict the outcome for a specific patient. Aims:To establish a proof of concept for an Adaptive Treatment Strategy in ICBT, and explore outcome prediction further by evaluating the accuracy of an empirically supported classification algorithm, the time point in treatment when acceptable accuracy can be reached, and the accuracy of ICBT-therapists' own predictions. Preliminary benchmarks regarding the clinical usefulness of prediction will be established. Studies:Four studies were performed: Study I was a randomized controlled trial (RCT; n=251) where patients' risk of treatment Failure (Red=high risk of failure, Green=low risk) was predicted during week 4 out of 9 in ICBT for Insomnia. Red patients (n=102) were then randomized to either continuing with standard treatment (n=51) or having their treatment individually adapted (n=51). In Study II, the classification algorithm from Study I was evaluated in terms of classification accuracy and the contribution of the different predictors used. In Study III, data from 4310 regular care ICBT-patients having received treatment for either Depression, Social anxiety disorder or Panic disorder were analyzed in a series of multiple regression models using weekly observations of the primary symptom measure as predictors to classify risk of Failure. As a contrast, Study IV examines ICBT therapists' own predictions on both categorical and continuous treatment outcomes, as they made predictions for each of their patients (n=897) during week 4 in the same three treatments as in Study III. Results:The RCT was successful in that Red patients receiving Adapted treatment improved significantly more than Red patients receiving standard treatment, and their odds of failure were nearly cut in half. Green patients did better than Red patients, indicating that the accuracy of the classification algorithm was clinically useful. Study II showed that the balanced accuracy of the classifier was 67% and that only 11 of 21 predictors correlated significantly with Failure. Notable predictors were symptom levels as well as different markers of treatment engagement. Study III and IV showed that acceptable predictions could be made halfway through treatment using only symptom scores and basic statistics, and that ICBT-...

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Section: Main Findingsmentioning

confidence: 91%

Predicting treatment failure in regular care Internet-Delivered Cognitive Behavior Therapy for depression and anxiety using only weekly symptom measures.

Forsell

Isacsson

Blom

et al. 2020

Journal of Consulting and Clinical Psychology

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“…Se empleó el análisis factorial confirmatorio (AFC), el cual es una técnica estadística multivariada que permite determinar el ajuste entre una estructura factorial propuesta y los datos recolectados. Los modelos analizados en el estudio fueron los de dos, tres (Levin et al, 2002), cuatro y cinco factores correlacionados (Caballo et al, 2019). El método de estimación usado fue el de los mínimos cuadrados ponderados con media y varianza ajustada (WLSMV).…”

Section: Resultsunclassified

“…En la tabla 1, se observa la matriz de correlaciones policóricas del instrumento, donde el ítem 13, "orinar en servicios públicos", presenta correlaciones menores a .30 con los demás ítems de la LSAS, incluidos aquellos con quienes suele compartir el mismo factor en distintos modelos, tales como el ítem 22, el ítem 24 (Baker et al, 2002;Caballo et al, 2019;Stein et al, 2004) y el ítem 1 (Baker et al, 2002;Safren et al, 1999). La tabla 2 muestra el resultado del AFC en la escala de ansiedad evidenciándose un ajuste adecuado en todos los modelos, aunque destaca la estructura de cinco factores de Caballo et al (2019), χ²(160, N = 549) = 319.43, p < .001, CFI = .991, RMSEA = .043, TLI = .990, SRMR = .051.…”

Section: Resultsunclassified

“…Por otro lado, se muestra en la tabla 4 que las correlaciones entre los cinco factores propuestos por Caballo et al (2019) Se utilizó el coeficiente omega (McDonald, 1999) con el objetivo de evaluar la consistencia interna del instrumento. En relación con los cinco factores propuestos por Caballo et al (2019), los valores fueron moderados, pues se obtuvieron coeficientes de entre .81 a .62.…”

Section: Elaboración Propiaunclassified

“…No obstante, uno de los puntos más controvertidos en los estudios psicométricos del instrumento es lo que respecta a su estructura factorial. Distintas investigaciones han encontrado una cantidad diferente de factores: tres (Levin, Marom, Gur, Wechter y Hermesh, 2002), cuatro (Bobes et al, 1999;Safren et al, 1999;Sugawara et al, 2012), cinco (Caballo, Salazar, Arias, Hofmann y Curtiss, 2019;Baker et al, 2002;Terra et al, 2006) e incluso seis (Stein, Kasper, Andersen, Nil y Lader, 2004). Estos resultados contradictorios pueden deberse a las diferencias culturales de las muestras empleadas, ya que los síntomas del TAS pueden verse influenciados por el contexto cultural (Hofmann, Asnaani y Hinton, 2010).…”

Section: Introductionunclassified

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Propiedades psicométricas de la Escala de Ansiedad Social de Liebowitz en estudiantes universitarios peruanos

Franco-Jimenez

2020

Persona

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El objetivo del estudio fue analizar las propiedades psicométricas de la Escala de Ansiedad Social de Liebowitz (LSAS), por lo que se evaluó su estructura factorial y su consistencia interna. El estudio estuvo conformado por una muestra de 549 estudiantes de una universidad pública peruana. En el análisis factorial confirmatorio se comparó soluciones de dos, tres, cuatro, cinco y seis factores, evidenciando un mejor ajuste en el modelo de cinco dimensiones propuesto por Caballo, Salazar, Arias, Hofmann & Curtis (2019), χ² = 319.43, CFI = .991, RMSEA = .043, TLI = .990, SRMR = .051. Asimismo, se analizó la consistencia interna de los cinco factores empleando el coeficiente omega encontrando valores entre .81 a .62. En conclusión, la LSAS mostró adecuadas propiedades psicométricas en cuanto a los procedimientos evaluados y los resultados se encuentran a favor de una estructura de 5 factores.

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Measurement invariance of the Liebowitz Social Anxiety Scale‐Self‐Report

Baroni

Caccico²,

Ciandri³

et al. 2022

J Clin Psychol

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Objective The Liebowitz Social Anxiety Scale‐Self Report (LSAS‐SR) is a self‐report measure of social anxiety (SA), which has shown adequate psychometric properties across cultures. However, no study has systematically evaluated its measurement invariance (MI) between (a) individuals with and without a diagnosis of social anxiety disorder (SAD) and (b) males and females. The current study addresses this issue. Methods We collected data on 257 (158 females) Italian individuals diagnosed with SAD and 356 (232 females) community‐dwelling adults. Results We initially found support for the unidimensionality of the Italian LSAS‐SR measurement model in all samples. Using the Graded Response Model, we obtained evidence of partial MI and differential item functioning between community‐dwelling and SAD‐diagnosed individuals and evidence of strong MI between male and female participants. Conclusions The results of this study suggest that the Italian LSAS‐SR measures the same trait in the same way across the symptom continuum and sexes, making it a psychometrically sound tool for assessment, screening, and research purposes.

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Psychometric properties of the Liebowitz Social Anxiety Scale in a large cross-cultural Spanish and Portuguese speaking sample

Cited by 29 publications

References 32 publications

Predicting treatment failure in regular care Internet-Delivered Cognitive Behavior Therapy for depression and anxiety using only weekly symptom measures.

Predicting treatment failure in regular care Internet-Delivered Cognitive Behavior Therapy for depression and anxiety using only weekly symptom measures.

Propiedades psicométricas de la Escala de Ansiedad Social de Liebowitz en estudiantes universitarios peruanos

Measurement invariance of the Liebowitz Social Anxiety Scale‐Self‐Report

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