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The Coronavirus Anxiety Scale: Cross-national measurement invariance and convergent validity evidence.
Psychological Assessment ( IF 3.3 ) Pub Date : 2023-11-27 , DOI: 10.1037/pas0001270 Veljko Jovanović 1 , Maksim Rudnev 2 , Mohamed Abdelrahman 3 , Nor Ba'yah Abdul Kadir 4 , Damilola Fisayo Adebayo 5 , Plamen Akaliyski 6 , Rana Alaseel 7 , Yousuf Abdulqader Alkamali 8 , Luz Marina Alonso Palacio 9 , Azzam Amin 3 , Andrii Andres 10 , Alireza Ansari-Moghaddam 11 , John Jamir Benzon Aruta 12 , Hrant M Avanesyan 13 , Norzihan Ayub 14 , Maria Bacikova-Sleskova 15 , Raushan Baikanova 16 , Batoul Bakkar 7 , Sunčica Bartoluci 17 , David Benitez 18 , Ivanna Bodnar 19 , Aidos Bolatov 16 , Judyta Borchet 20 , Ksenija Bosnar 17 , Yunier Broche-Pérez 21 , Carmen Buzea 22 , Rosalinda Cassibba 23 , Maria Del Pilar Grazioso 24 , Sandesh Dhakal 25 , Radosveta Dimitrova 26 , Alejandra Dominguez 27 , Cong Doanh Duong 28 , Luciana Dutra Thome 29 , Arune Joao Estavela 30 , Emmanuel Abiodun Fayankinnu 31 , Nelli Ferenczi 32 , Regina Fernández-Morales 33 , Maria-Therese Friehs 34 , Jorge Gaete 35 , Wassim Gharz Edine 7 , Shahar Gindi 36 , Rubia Carla Formighieri Giordani 37 , Biljana Gjoneska 38 , Juan Carlos Godoy 39 , Camellia Doncheva Hancheva 40 , Given Hapunda 41 , Shogo Hihara 42 , Md Saiful Islam 43 , Anna Janovská 15 , Nino Javakhishvili 44 , Russell Sarwar Kabir 42 , Amir Kabunga 45 , Arzu Karakulak 46 , Johannes Alfons Karl 47 , Darko Katović 17 , Zhumaly Kauyzbay 48 , Maria Kaźmierczak 20 , Richa Khanna 49 , Meetu Khosla 50 , Peter Kisaakye 51 , Martina Klicperova-Baker 52 , Richman Kokera 53 , Ana Kozina 54 , Steven E Krauss 55 , Rodrigo Landabur 56 , Katharina Lefringhausen 57 , Aleksandra Lewandowska-Walter 20 , Yun-Hsia Liang 58 , Danny Lizarzaburu-Aguinaga 59 , Lorena Cecilia López Steinmetz 39 , Ana Makashvili 44 , Sadia Malik 60 , Denisse Manrique-Millones 61 , Marta Martín-Carbonell 62 , Maria Angela Mattar Yunes 63 , Breeda McGrath 64 , Enkeleint A Mechili 65 , Marinés Mejía Alvarez 24 , Samson Mhizha 53 , Justyna Michałek-Kwiecień 20 , Sushanta Kumar Mishra 66 , Mahdi Mohammadi 11 , Fatema Mohsen 7 , Rodrigo Moreta-Herrera 67 , Maria D Muradyan 13 , Pasquale Musso 23 , Andrej Naterer 68 , Arash Nemat 69 , Félix Neto 70 , Joana Neto 71 , Hassan Okati-Aliabad 11 , Carlos Iván Orellana 72 , Ligia Orellana 73 , Joonha Park 74 , Iuliia Pavlova 19 , Eddy Alfonso Peralta 75 , Petro Petrytsa 76 , Rasa Pilkauskaite Valickiene 77 , Et Al
Psychological Assessment ( IF 3.3 ) Pub Date : 2023-11-27 , DOI: 10.1037/pas0001270 Veljko Jovanović 1 , Maksim Rudnev 2 , Mohamed Abdelrahman 3 , Nor Ba'yah Abdul Kadir 4 , Damilola Fisayo Adebayo 5 , Plamen Akaliyski 6 , Rana Alaseel 7 , Yousuf Abdulqader Alkamali 8 , Luz Marina Alonso Palacio 9 , Azzam Amin 3 , Andrii Andres 10 , Alireza Ansari-Moghaddam 11 , John Jamir Benzon Aruta 12 , Hrant M Avanesyan 13 , Norzihan Ayub 14 , Maria Bacikova-Sleskova 15 , Raushan Baikanova 16 , Batoul Bakkar 7 , Sunčica Bartoluci 17 , David Benitez 18 , Ivanna Bodnar 19 , Aidos Bolatov 16 , Judyta Borchet 20 , Ksenija Bosnar 17 , Yunier Broche-Pérez 21 , Carmen Buzea 22 , Rosalinda Cassibba 23 , Maria Del Pilar Grazioso 24 , Sandesh Dhakal 25 , Radosveta Dimitrova 26 , Alejandra Dominguez 27 , Cong Doanh Duong 28 , Luciana Dutra Thome 29 , Arune Joao Estavela 30 , Emmanuel Abiodun Fayankinnu 31 , Nelli Ferenczi 32 , Regina Fernández-Morales 33 , Maria-Therese Friehs 34 , Jorge Gaete 35 , Wassim Gharz Edine 7 , Shahar Gindi 36 , Rubia Carla Formighieri Giordani 37 , Biljana Gjoneska 38 , Juan Carlos Godoy 39 , Camellia Doncheva Hancheva 40 , Given Hapunda 41 , Shogo Hihara 42 , Md Saiful Islam 43 , Anna Janovská 15 , Nino Javakhishvili 44 , Russell Sarwar Kabir 42 , Amir Kabunga 45 , Arzu Karakulak 46 , Johannes Alfons Karl 47 , Darko Katović 17 , Zhumaly Kauyzbay 48 , Maria Kaźmierczak 20 , Richa Khanna 49 , Meetu Khosla 50 , Peter Kisaakye 51 , Martina Klicperova-Baker 52 , Richman Kokera 53 , Ana Kozina 54 , Steven E Krauss 55 , Rodrigo Landabur 56 , Katharina Lefringhausen 57 , Aleksandra Lewandowska-Walter 20 , Yun-Hsia Liang 58 , Danny Lizarzaburu-Aguinaga 59 , Lorena Cecilia López Steinmetz 39 , Ana Makashvili 44 , Sadia Malik 60 , Denisse Manrique-Millones 61 , Marta Martín-Carbonell 62 , Maria Angela Mattar Yunes 63 , Breeda McGrath 64 , Enkeleint A Mechili 65 , Marinés Mejía Alvarez 24 , Samson Mhizha 53 , Justyna Michałek-Kwiecień 20 , Sushanta Kumar Mishra 66 , Mahdi Mohammadi 11 , Fatema Mohsen 7 , Rodrigo Moreta-Herrera 67 , Maria D Muradyan 13 , Pasquale Musso 23 , Andrej Naterer 68 , Arash Nemat 69 , Félix Neto 70 , Joana Neto 71 , Hassan Okati-Aliabad 11 , Carlos Iván Orellana 72 , Ligia Orellana 73 , Joonha Park 74 , Iuliia Pavlova 19 , Eddy Alfonso Peralta 75 , Petro Petrytsa 76 , Rasa Pilkauskaite Valickiene 77 , Et Al
Affiliation
Coronavirus Anxiety Scale (CAS) is a widely used measure that captures somatic symptoms of coronavirus-related anxiety. In a large-scale collaboration spanning 60 countries (Ntotal = 21,513), we examined the CAS's measurement invariance and assessed the convergent validity of CAS scores in relation to the fear of COVID-19 (FCV-19S) and the satisfaction with life (SWLS-3) scales. We utilized both conventional exact invariance tests and alignment procedures, with results revealing that the single-factor model fit the data well in almost all countries. Partial scalar invariance was supported in a subset of 56 countries. To ensure the robustness of results, given the unbalanced samples, we employed resampling techniques both with and without replacement and found the results were more stable in larger samples. The alignment procedure demonstrated a high degree of measurement invariance with 9% of the parameters exhibiting noninvariance. We also conducted simulations of alignment using the parameters estimated in the current model. Findings demonstrated reliability of the means but indicated challenges in estimating the latent variances. Strong positive correlations between CAS and FCV-19S estimated with all three different approaches were found in most countries. Correlations of CAS and SWLS-3 were weak and negative but significantly differed from zero in several countries. Overall, the study provided support for the measurement invariance of the CAS and offered evidence of its convergent validity while also highlighting issues with variance estimation. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
中文翻译:
冠状病毒焦虑量表:跨国测量不变性和收敛有效性证据。
冠状病毒焦虑量表(CAS)是一种广泛使用的测量方法,可捕捉与冠状病毒相关的焦虑的躯体症状。在跨越 60 个国家/地区的大规模合作中(Ntotal = 21,513),我们检查了 CAS 的测量不变性,并评估了 CAS 评分与对 COVID-19 的恐惧 (FCV-19S) 和生活满意度 (SWLS) 相关的收敛有效性。 -3)秤。我们利用了传统的精确不变性检验和对齐程序,结果表明单因素模型与几乎所有国家的数据拟合良好。部分标量不变性在 56 个国家/地区的子集中得到支持。为了确保结果的稳健性,考虑到样本不平衡,我们采用了有放回和无放回的重采样技术,发现较大样本的结果更稳定。对齐过程证明了高度的测量不变性,9% 的参数表现出非不变性。我们还使用当前模型中估计的参数进行了对齐模拟。研究结果证明了方法的可靠性,但也表明了估计潜在方差的挑战。在大多数国家,使用所有三种不同方法估计的 CAS 和 FCV-19S 之间都存在很强的正相关性。 CAS 和 SWLS-3 的相关性较弱且呈负相关,但在一些国家中与零存在显着差异。总体而言,该研究为 CAS 的测量不变性提供了支持,并提供了其收敛有效性的证据,同时也强调了方差估计的问题。 (PsycInfo 数据库记录 (c) 2024 APA,保留所有权利)。
更新日期:2023-11-27
中文翻译:
冠状病毒焦虑量表:跨国测量不变性和收敛有效性证据。
冠状病毒焦虑量表(CAS)是一种广泛使用的测量方法,可捕捉与冠状病毒相关的焦虑的躯体症状。在跨越 60 个国家/地区的大规模合作中(Ntotal = 21,513),我们检查了 CAS 的测量不变性,并评估了 CAS 评分与对 COVID-19 的恐惧 (FCV-19S) 和生活满意度 (SWLS) 相关的收敛有效性。 -3)秤。我们利用了传统的精确不变性检验和对齐程序,结果表明单因素模型与几乎所有国家的数据拟合良好。部分标量不变性在 56 个国家/地区的子集中得到支持。为了确保结果的稳健性,考虑到样本不平衡,我们采用了有放回和无放回的重采样技术,发现较大样本的结果更稳定。对齐过程证明了高度的测量不变性,9% 的参数表现出非不变性。我们还使用当前模型中估计的参数进行了对齐模拟。研究结果证明了方法的可靠性,但也表明了估计潜在方差的挑战。在大多数国家,使用所有三种不同方法估计的 CAS 和 FCV-19S 之间都存在很强的正相关性。 CAS 和 SWLS-3 的相关性较弱且呈负相关,但在一些国家中与零存在显着差异。总体而言,该研究为 CAS 的测量不变性提供了支持,并提供了其收敛有效性的证据,同时也强调了方差估计的问题。 (PsycInfo 数据库记录 (c) 2024 APA,保留所有权利)。