Validation of the Internet Addiction Test in Students at a Pakistani Medical and Dental School

Despite growing concerns over pathological internet usage, studies based on validated psychometric instruments are still lacking in Pakistan. This study aimed to examine the psychometric properties of the Internet Addiction Test (IAT) in a sample of Pakistani students. A total of 522 students of medicine and dentistry completed the questionnaire, which consisted of four sections: (a) demographics, (b) number of hours spent on the Internet per day, (c) English version of the IAT, and (d) the Defense Style Questionnaire-40. Maximum likelihood analysis and principal axis factoring were used to validate the factor structure of the IAT. Convergent and criterion validity were assessed by correlating IAT scores with number of hours spent online and defense styles. Exploratory and confirmatory factor analysis reflected the goodness of fit of a unidimensional structure of the IAT, with a high alpha coefficient. The IAT had good face and convergent validity and no floor and ceiling effects, and was judged easy to read by participants

Risky business: factor analysis of survey data – assessing the probability of incorrect dimensionalisation

This paper undertakes a systematic assessment of the extent to which factor analysis the correct number of latent dimensions (factors) when applied to ordered categorical survey items (so-called Likert items). We simulate 2400 data sets of uni-dimensional Likert items that vary systematically over a range of conditions such as the underlying population distribution, the number of items, the level of random error, and characteristics of items and item-sets. Each of these datasets is factor analysed in a variety of ways that are frequently used in the extant literature, or that are recommended in current methodological texts. These include exploratory factor retention heuristics such as Kaiser’s criterion, Parallel Analysis and a non-graphical scree test, and (for exploratory and confirmatory analyses) evaluations of model fit. These analyses are conducted on the basis of Pearson and polychoric correlations.We find that, irrespective of the particular mode of analysis, factor analysis applied to ordered-categorical survey data very often leads to over-dimensionalisation. The magnitude of this risk depends on the specific way in which factor analysis is conducted, the number of items, the properties of the set of items, and the underlying population distribution. The paper concludes with a discussion of the consequences of overdimensionalisation, and a brief mention of alternative modes of analysis that are much less prone to such problems

Re-assessing the validity of the Moral Sensitivity Questionnaire (MSQ):Two new scales for moral deliberation and paternalism

RATIONALE, AIMS, AND OBJECTIVES: The current study and previous research have called the six-component model of Lützen's 30-item Moral Sensitivity Questionnaire (MSQ) into question. For this reason, we re-examined the construct validity of this instrument. METHODS: In this cross-sectional study, which was based on a convenience sample of Dutch nurse practitioners (NPs) and physician assistants (PAs), we tested the validity of MSQ items using exploratory and confirmatory factor analyses (EFA and CFA, respectively). RESULTS: The EFA revealed a two-component model, which was then tested as a target model with CFA and was found to have good model fit. Some items were correlated with two uncorrelated latent constructs, which we labelled as "paternalistic" and "deliberate" attitudes towards patients. CONCLUSIONS: As in previous studies, the analyses in the current study, which was conducted among PAs and NPs, did not reveal six dimensions for the 30 items. Two new latent dimensions of moral sensitivity were psychometrically tested and confirmed. These two components relate to studies investigating ethical behaviour, and they can be used to describe the moral climate in healthcare organizations. The scales are indicators of the extent to which health professionals behave in a deliberate (sensitive) or paternalistic (insensitive) manner towards the opinions of patients within the context of medical decision-making

A cultural validation of the Chinese version of the Multidimensional Depression Assessment Scale (MDAS) in clinically depressed patients in Inner Mongolia

Introduction: Depression symptoms and assessment in China are influenced by unique cultural values of collectivism and by social-political factors specific to China. This study validated the Chinese version of the 52-item Multidimensional Depression Assessment Scale (MDAS) with clinically depressed patients in Inner Mongolia. The study sought to examine the psychometric properties of the MDAS and understand the construct of depression in a specific collectivistic cultural context using a scale with comprehensive dimensions of depressive symptoms in the emotional, cognitive, somatic and interpersonal domains. Method: A total of 171 clinically depressed participants in Inner Mongolia completed the Chinese versions of the MDAS and the Beck Depressive Inventory (BDI). The reliability and validity of the MDAS were tested, and an exploratory factor analysis (EFA) was conducted on the MDAS to examine the underlying structure of the measure. The MDAS and BDI were compared in terms of sensitivity and reactivity on the basis of the cut-off value of BDI. Results: The Chinese-MDAS was found to have good psychometric properties, including high Cronbach’s alphas for the total scale and for each subscale (0.90–0.97), indicating good reliability, as well as a high and significant correlation with the BDI (r = 0.72; p <.001), suggesting good validity. The factor analysis indicated the emergence of a salient factor of interpersonal symptoms in Chinese depressed patients, suggesting the importance of interpersonal symptoms in Chinese depressed individuals. A cut-off value of 118.5 with high sensitivity and specificity was found on the MDAS based on the cut-off value of the BDI. Conclusion: The Chinese-MDAS demonstrated good psychometric properties among depressed individuals in Inner Mongolia. This study paves the way for the measure’s further development and cultural adaptation in a Chinese depressed population. 

Avaliação psicométrica do Questionário de Mudança Corporal para adolescentes

Resumo O estudo objetivou analisar a validade de construto, consistência interna e reprodutibilidade do Questionário de Mudança Corporal (QMC). Foram avaliados 439 meninas e meninos (13 a 22 anos). A validade de construto foi avaliada por meio da análise fatorial exploratória e correlações entre os escores do QMC, Body Shape Questionnaire (BSQ) e Escala de Silhuetas (ES). A confiabilidade foi acessada usando-se a consistência interna, e a reprodutibilidade pelo teste-reteste e pela correlação intraclasse. A escala apresentou estrutura fatorial composta por seis fatores, os quais representaram quase em sua totalidade as subescalas do instrumento. As correlações para a amostra total entre o QMC e as outras escalas variaram de 0,37 a 0,46. A consistência interna apresentou valores entre 0,78 e 0,96 para cada um dos fatores, e a correlação intraclasse foi condizente com uma boa reprodutibilidade. Os escores do teste-reteste não apresentaram diferenças significantes para a amostra total e entre os sexos. Conclui-se que o QMC apresenta boas qualidades psicométricas para os adolescentes brasileiros

A protocol for analyzing repeated measures of online group behavior

In this article, we feature a novel protocol that enables the analysis of repeated measures of online group behavior. The protocol accounts for (1) the nested hierarchy of the data with weeks nested in persons, and persons nested in weeks, and (2) the temporal nature of the behavior at the early, mid, and late periods of each week. To manage and analyze such data in a general way, we first give an illustration of the data structure. Thereafter, we propose a five-step Courtney-Fanguy-Costley protocol that (1) considers the data structure, (2) defines the levels of data, (3) considers variable variation, timing, and necessary aggregation, (4) ensures necessary variation, and (5) specifies null and mixed-effects models. We also provide exemplary R code for readers to replicate our approach.•A general five-step protocol for analyzing repeated measures of online group behavior is offered.•A description of the complex nested data structure is offered.•Users can simulate data in R to run through the protocol