Cross-Cultural Validation of a New Version in Spanish of Four Items of the Preventive COVID-19 Infection Behaviors Scale (PCIBS) in Twelve Latin American Countries

Caycho‐Rodríguez, Tomás; Vilca, Lindsey W.; Valencia, Pablo D.; Carbajal-León, Carlos; Vivanco-Vidal, Andrea; Saroli-Araníbar, Daniela; Reyes-Bossio, Mario; White, Michael; Rojas-Jara, Claudio; Polanco-Carrasco, Roberto; Gallegos, Miguel; Cervigni, Mauricio; Martino, Pablo; Palacios, Diego Alejandro; Moreta-Herrera, Rodrigo; Samaniego-Pinho, Antonio; Lobos-Rivera, Marlon Elías; Ferrari, Ilka Franco; Flores-Mendoza, Carmen; Figares, Andrés Buschiazzo; Puerta-Cortés, Diana Ximena; Corrales-Reyes, Ibraín Enrique; Calderón, Raymundo; Pinto, Bismarck; Gallegos, Walter Lizandro Arias

doi:10.3389/fpsyg.2021.763993

Cited by 8 publications

(8 citation statements)

References 94 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on previous evidence, a five-factor structure is expected to present an adequate fit and show evidence of reliability ( Taylor et al, 2020e ; Abbady et al, 2021 ; Khosravani et al, 2021 ). Similarly, it would be expected that, based on IRT, a greater presence of the latent trait, namely COVID-19 stress, will be required to respond to the higher response categories, as occurs in other instruments used during the COVID-19 pandemic ( Caycho-Rodríguez et al, 2021c , d , e ). While there is no prior evidence of MI for the CSS-36, it would be expected to be invariant between different sex groups, as has happened with other scales which measure mental health indicators during the current pandemic (e.g., Caycho-Rodríguez et al, 2021b ).…”

Section: Introductionmentioning

confidence: 99%

Spanish Translation and Validation of the COVID Stress Scales in Peru

et al. 2022

Self Cite

View full text Add to dashboard Cite

The objective of the study was to translate and validate the COVID Stress Scales (CSS-36) into Spanish in Peru. Around 1,424 people, selected through a non-probabilistic sampling, participated in the study. Factor analysis confirmed an initial six-dimensional factorial structure of the CSS-36. Reliability by internal consistency was good for the dimensions of fear of danger, socioeconomic consequences, xenophobia, fear of contamination, traumatic stress, and compulsive control. In addition, the factorial structure of scale has been shown be strictly invariant for both males and females. The Spanish version of the CSS-36 has evidence of validity, reliability, and invariance to measure COVID-19 stress in a Peruvian sample.

show abstract

Section: Introductionmentioning

confidence: 99%

Spanish Translation and Validation of the COVID Stress Scales in Peru

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…This study is part of a larger project aimed at obtaining brief, cross-culturally valid measures of mental health indicators in Latin America during the COVID-19 pandemic (see, for example, Caycho-Rodríguez et al, 2021a, 2021b. The study was conducted between June 12 and September 14, 2020.…”

Section: Methodsmentioning

confidence: 99%

“…Thus, CFA-MIAL becomes an alternative which allows for automating and simplifying MI (Marsh et al, 2018). However, CFA-MIAL is still rarely applied (Asparouhov and Muthén, 2014), with only a few relevant studies before (Jang et al, 2017) and during the pandemic (Caycho-Rodríguez et al, 2021a).…”

Section: Introductionmentioning

confidence: 99%

Cross-national measurement invariance of the Purpose in Life Test in seven Latin American countries

et al. 2022

Self Cite

View full text Add to dashboard Cite

The Purpose in Life Test (PIL) is a measure of purpose in life widely used in many cultures and countries; however, cross-cultural assessments are scarce. The present study aimed to evaluate the cross-cultural measurement invariance of the PIL in the general population of seven Latin American countries (Colombia, Ecuador, El Salvador, Mexico, Paraguay, Argentina, and Uruguay). A total of 4306 people participated, selected by non-probabilistic convenience sampling, where Uruguay has the highest mean age (M = 41.8; SD = 16.6 years); while Ecuador has the lowest mean age (M = 24.6; SD = 7.8 years). Furthermore, in each country, there is a higher proportion of women (>60%) than men (<40%). Using Multi-Group Confirmatory Factor Analysis, the factorial structure does not show evidence of invariance among the included countries. However, based on the Multi-Group Factor Analysis Alignment, there is evidence that a three-dimensional structure of the PIL Frontiers in Psychology 01 frontiersin.org Caycho-Rodríguez et al. 10.3389/fpsyg.2022.974133(Meaning of existence, Freedom to make meaning in daily life and Will to find meaning in the face of future challenges) is the same in the participating countries. Results based on item response theory indicate that most PIL items can significantly differentiate responses according to the level of life purpose. In addition, people with low life purpose will tend to choose the lower response alternatives on the PIL; while people with higher life purpose will choose higher response alternatives. The findings indicate that the PIL has the potential to increase knowledge about how people conceive and experience their purpose in life in different countries.

show abstract

“…For unobserved factors with multiple observed indicators, measurement invariance can be tested using multiple-group CFA. Measurement invariance involves four different levels: configural invariance, weak measurement invariance (also called metric invariance), strong measurement invariance (also called scalar invariance), and strict measurement invariance (Meredith, 1993;Widaman and Reise, 1997;Millsap, 2012;Caycho-Rodríguez et al, 2021). Configural measurement invariance is when there are the same number of factors and the same patterns of free and fixed factor loadings across groups without equality restrictions on any other model parameters.…”

Section: Introductionmentioning

confidence: 99%

“…Strong measurement invariance, also called scalar invariance, is defined as invariance of both factor loadings and item intercepts across groups. In general, when strong measurement invariance holds, the factor means across groups can be compared directly (Millsap, 2012;Caycho-Rodríguez et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Investigating the Applicability of Alignment—A Monte Carlo Simulation Study

Wen

Feng

2022

Front. Psychol.

View full text Add to dashboard Cite

Traditional multiple-group confirmatory factor analysis (multiple-group CFA) is usually criticized for having too restrictive model assumption, namely the scalar measurement invariance. The new multiple-group analysis methodology, alignment, has become an effective alternative. The alignment evaluates measurement invariance and more importantly, permits factor mean comparisons without requiring scalar invariance which is usually required in traditional multiple-group CFA. Some simulation studies and empirical studies have investigated the applicability of alignment under different conditions, but some areas remain unexplored. Based on the simulation studies of Asparouhov and Muthén and of Flake and McCoach, this current simulation study is broken into two sections. The first study investigates the minimal group sizes required for alignment in three-factor models. The second study compares the performance of multiple-group CFA, multiple-group exploratory structural equation model (multiple-group ESEM), and alignment by including different proportions and magnitudes of cross-loadings in the models. Study 1 shows that when the model has no noninvariant parameters, the alignment requires relatively lower group sizes. Explicitly, the minimal group size required for alignment was 250 when the amount of groups was three, the minimal group size was 150 when the amount of groups was nine, and 200 when the amount of groups was 15. When there are noninvariant parameters in the model and the amount of groups is low, a group size of 350 is a safe rule of thumb. When there are noninvariant parameters in the model and the amount of groups is high, a group size of 250 is required for trustworthy results. The magnitude of noninvariance and the noninvariance rate do not affect the minimal group size required for alignment. Study 2 shows that multiple-group CFA provides accurate factor mean estimates when each factor had 20% factor loading (1 factor loading) with small-sized cross-loading. Multiple-group ESEM provides accurate factor mean estimates when the magnitude of cross-loading is small or when each factor had 20% factor loading (1 factor loading) with medium-sized cross-loading. Alignment provides accurate factor mean estimates when there are only small-sized cross-loadings in the model. The parameter estimates, coverage rates and ratios of average standard error to standard deviation for each methodology are not influenced by the amount of groups. Recommendations are concluded for using multiple-group CFA, multiple-group ESEM, traditional alignment and aligned ESEM (AESEM) based on the results. Multiple-group CFA is more suitable for use when scalar invariance is established. Multiple-group ESEM works best when there are small-sized or only a few medium-sized cross-loadings in the model. Traditional alignment allows for small-sized cross-loadings and a few noninvariant parameters in the model. AESEM integrates the advantages of alignment and ESEM, can provide accurate estimates when noninvariant parameters and cross-loadings both exist in the model. Compared to multiple-group CFA, multiple-group ESEM, the alignment methodology performs well in more situations.

show abstract

Cross-Cultural Validation of a New Version in Spanish of Four Items of the Preventive COVID-19 Infection Behaviors Scale (PCIBS) in Twelve Latin American Countries

Cited by 8 publications

References 94 publications

Spanish Translation and Validation of the COVID Stress Scales in Peru

Spanish Translation and Validation of the COVID Stress Scales in Peru

Cross-national measurement invariance of the Purpose in Life Test in seven Latin American countries

Investigating the Applicability of Alignment—A Monte Carlo Simulation Study

Contact Info

Product

Resources

About