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Baroni D, Caccico L, Ciandri S, Di Gesto C, Di Leonardo L, Fiesoli A, Grassi E, Lauretta F, Lebruto A, Marsigli N, Policardo GR, Rosadoni M, Chiorri C. Measurement invariance of the Liebowitz Social Anxiety Scale-Self-Report. J Clin Psychol 2023; 79:391-414. [PMID: 35809258 DOI: 10.1002/jclp.23413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 03/03/2022] [Accepted: 06/25/2022] [Indexed: 01/19/2023]
Abstract
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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Affiliation(s)
- Duccio Baroni
- Department of Education, Languages, Intercultures, Literatures and Psychology, University of Florence, Florence, Italy.,Department of Health Sciences, University of Florence, Florence, Italy.,Institute of Behavioral and Cognitive Psychology and Psychotherapy, Florence, Italy
| | - Laura Caccico
- Institute of Behavioral and Cognitive Psychology and Psychotherapy, Florence, Italy
| | - Serena Ciandri
- Institute of Behavioral and Cognitive Psychology and Psychotherapy, Florence, Italy
| | - Cristian Di Gesto
- Department of Health Sciences, University of Florence, Florence, Italy.,Institute of Behavioral and Cognitive Psychology and Psychotherapy, Florence, Italy
| | - Laura Di Leonardo
- Institute of Behavioral and Cognitive Psychology and Psychotherapy, Florence, Italy
| | - Alice Fiesoli
- Institute of Behavioral and Cognitive Psychology and Psychotherapy, Florence, Italy
| | - Elena Grassi
- Institute of Behavioral and Cognitive Psychology and Psychotherapy, Florence, Italy
| | - Francesco Lauretta
- Institute of Behavioral and Cognitive Psychology and Psychotherapy, Florence, Italy
| | - Antonella Lebruto
- Institute of Behavioral and Cognitive Psychology and Psychotherapy, Florence, Italy
| | - Nicola Marsigli
- Institute of Behavioral and Cognitive Psychology and Psychotherapy, Florence, Italy
| | - Giulia Rosa Policardo
- Department of Health Sciences, University of Florence, Florence, Italy.,Institute of Behavioral and Cognitive Psychology and Psychotherapy, Florence, Italy
| | - Martina Rosadoni
- Institute of Behavioral and Cognitive Psychology and Psychotherapy, Florence, Italy
| | - Carlo Chiorri
- Department of Educational Sciences, University of Genova, Genova, Italy
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Cardace F, Rubel J, Altmann U, Merkler M, Schwartz B, Deisenhofer AK, Paulick J, Schoenherr D, Strauß B, Lutz W. [Convergence of Scales to Measure Social Anxiety: An IRT Linking Approach]. Psychother Psychosom Med Psychol 2021; 72:59-67. [PMID: 34517422 DOI: 10.1055/a-1519-7259] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVE The Liebowitz Social Anxiety Scale (LSAS) and the Social Phobia Inventory (SPIN) are established measures in the investigation of social anxiety. Furthermore, the subscale Interpersonal Sensitivity of the Brief Symptom Inventory (BSI-53) is frequently used to screen social anxiety. All three scales claim to capture the same construct, which raises the question of the convergence of these scales. To make research findings comparable by a cross-questionnaire factor (common factor), an item response theory (IRT) linking approach is used in the present study. METHODS 64 German-speaking psychiatric patients and 295 healthy subjects completed the three questionnaires. Different IRT models, including Graded Response Models (GRM), were constructed, and their model fit compared. Regression analyses were performed based on the best-fit model. The common factor was predicted from the questionnaire total values. RESULTS The relationship between the different scales was best explained by a bifactor GRM with one common factor and three domain-specific factors (RMSEA=0.036, CFI=0.977, WRMR=1.061). Based on the results of the regression analyses, three equations were derived for the transformation of questionnaire's total values. CONCLUSION The IRT linking approach allows the derivation of a general factor of social anxiety, taking into account commonalities and differences between the instruments used. This has advantages for both research and practice. A replication of this study as well as the implementation of further instruments are recommended to verify the validity of this approach and to generalize the results.
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Affiliation(s)
- Fabio Cardace
- Klinische Psychologie und Psychotherapie, Universität Trier,Trier, Deutschland
| | - Julian Rubel
- Abteilung für Psychotherapieforschung, Justus Liebig Universitat Giessen, Giessen, Deutschland
| | - Uwe Altmann
- Institut für Psychosoziale Medizin, Psychotherapie und Psychoonkologie (IPMPP), Universitätsklinikum Jena, Jena, Deutschland
| | - Martin Merkler
- Klinische Psychologie und Psychotherapie, Universität Trier,Trier, Deutschland
| | - Brian Schwartz
- Klinische Psychologie und Psychotherapie, Universität Trier,Trier, Deutschland
| | | | - Jane Paulick
- Klinische Psychologie und Psychotherapie, Universität Trier,Trier, Deutschland
| | - Desiree Schoenherr
- Institut für Psychosoziale Medizin, Psychotherapie und Psychoonkologie (IPMPP), Universitätsklinikum Jena, Jena, Deutschland
| | - Bernhard Strauß
- Institut für Psychosoziale Medizin, Psychotherapie und Psychoonkologie (IPMPP), Universitätsklinikum Jena, Jena, Deutschland
| | - Wolfgang Lutz
- FB I - Psychologie, Klinische Psychologie und Psychotherapie, Universität Trier, Trier, Deutschland
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Chen X, Wen H, Wang J, Yi Y, Wu J, Liao X. Conversion between Mini-Mental State Examination and Montreal Cognitive Assessment scores in older adults undergoing selective surgery using Rasch analysis. J Adv Nurs 2020; 77:729-741. [PMID: 33249626 DOI: 10.1111/jan.14638] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 08/31/2020] [Accepted: 10/28/2020] [Indexed: 12/29/2022]
Abstract
AIMS To develop and validate a conversion table between the MMSE and the MoCA using Rasch analysis in older adults undergoing selective surgery and examine its diagnostic accuracy in detecting cognitive impairment. DESIGN Cross-sectional study. METHODS Older patients [N = 129; age 66.0 (4.6) years, education 7.7 (3.5) years] undergoing elective surgery were recruited from December 2017 to June 2018. All participants completed the MMSE and MoCA and 113 of them completed a battery of neuropsychological tests. Common person linking based on Rasch analysis was performed to develop the conversion table. The conversions were validated by calculating the intraclass correlation coefficient (ICC), score differences between actual and converted scores, and root mean squared error of the difference (RMSE). The diagnostic accuracy of the conversions for detecting cognitive impairment was also tested. RESULTS The MoCA [person measure: 1.3 (1.1) logits] was better targeted to the patients than the MMSE [person measure: 3.2 (1.3) logits]. Conversion from MoCA to MMSE scores (ICC 0.84, 95% CI 0.77-0.88; RMSE 1.36) was more precise than conversion from MMSE to MoCA (ICC 0.82, 95% CI 0.75-0.87; RMSE 2.56). Conversion from MoCA to MMSE demonstrated better diagnostic accuracy in detecting cognitive impairment than the actual MMSE, whereas conversion from MMSE to MoCA exhibited the opposite pattern. CONCLUSION Conversion from MoCA to MMSE was more precise and had better diagnostic accuracy in detecting pre-operative cognitive impairment in older patients undergoing selective surgery than conversion from MMSE into MoCA. IMPACT The finding is useful for interpreting, comparing, and integrating cognitive measurements in surgical settings and clinical research. Statistically sound conversion between MoCA and MMSE based on Rasch analysis is now possible for surgical setting and clinical research.
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Affiliation(s)
- Xiaoying Chen
- Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China.,School of Nursing, Southern Medical University, Guangzhou, China
| | - Huangliang Wen
- Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China.,School of Nursing, Southern Medical University, Guangzhou, China
| | - Jinni Wang
- Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China.,School of Nursing, Southern Medical University, Guangzhou, China
| | - Yayan Yi
- Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China.,School of Nursing, Southern Medical University, Guangzhou, China
| | - Jialan Wu
- Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China.,School of Nursing, Southern Medical University, Guangzhou, China
| | - Xiaoyan Liao
- Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China
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Sunderland M, Afzali MH, Batterham PJ, Calear AL, Carragher N, Hobbs M, Mahoney A, Peters L, Slade T. Comparing Scores From Full Length, Short Form, and Adaptive Tests of the Social Interaction Anxiety and Social Phobia Scales. Assessment 2019; 27:518-532. [PMID: 30873852 DOI: 10.1177/1073191119832657] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
The current study developed and examined the performance of a computerized adaptive version of the Social Interaction Anxiety and Social Phobia Scales (SIAS/SPS) and compared results with a previously developed static short form (SIAS-6/SPS-6) in terms of measurement precision, concordance with the full forms, and sensitivity to treatment. Among an online sample of Australian adults, there were relatively minor differences in the performance of the adaptive tests and static short forms when compared with the full scales. Moreover, both adaptive and static short forms generated similar effect sizes across treatment in a clinical sample. This provides further evidence for the use of static or adaptive short forms of the SIAS/SPS rather than the lengthier 20-item versions. However, at the individual level, the adaptive tests were able to maintain an acceptable level of precision, using few items as possible, across the severity continua in contrast to the static short forms.
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Affiliation(s)
| | | | - Philip J Batterham
- Australian National University, Canberra, Australian Capital Territory, Australia
| | - Alison L Calear
- Australian National University, Canberra, Australian Capital Territory, Australia
| | | | - Megan Hobbs
- UNSW Sydney, Sydney, New South Wales, Australia
| | | | - Lorna Peters
- Macquarie University, Sydney, New South Wales, Australia
| | - Tim Slade
- UNSW Sydney, Sydney, New South Wales, Australia
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