Psychometric properties and item response theory analysis of the Persian version of the social pain questionnaire

Sepehrinia, Mahya; Farahani, Hojjatollah; Watson, Peter; Amini, Nasim

doi:10.3389/fpsyg.2024.1372229

Cited by 2 publications

References 61 publications

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Methods for measuring career readiness of high school students: based on multidimensional item response theory and text mining

Wang,

Zheng,

Zhang

et al. 2024

Humanit Soc Sci Commun

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In contemporary society, career readiness holds paramount significance for individual life, exerting a direct influence on initial employment, job satisfaction, and the sense of career identity. Framed within multidimensional item response theory and text mining, this study embarks on exploring assessment methodologies for high school students’ career readiness by revising the “Career Readiness Questionnaire – Adolescent Version” and employing text mining techniques. Study One collected 1261 valid data points through cluster sampling. With the aid of Bayesian multivariate item response theory parameter estimation procedures and R language, the career readiness measurement tool was revised, yielding a concise scale that aligns with psychometric requirements. The research findings indicated that the concept of “career readiness” is more suitable for the multidimensional graded response model than for the bifactor model. The dataset’s discrimination parameters fell within the range of [1.59, 3.84], the difficulty parameters fell between [−2.91, 2.24], and the peak values of the maximum information functions fell within [0.24, 2.35]. After six items with the lowest peaks were removed (Items 4, 5, 6, 31, 32, and 33), the remaining 30 items composed the Chinese concise version “Career Readiness Questionnaire – Adolescent Version,” with discrimination parameters ranging from [1.45, 3.38], difficulty parameters between [−3.31, 1.76], and maximum information function peaks within [0.50, 2.64]. Building upon the effective participants from Study One, Study Two matched questionnaire data with textual information, resulting in 1012 valid participants. Leveraging text mining, a machine learning model was constructed to predict high school students’ career readiness based on essay texts. The results of Study 2 prove that the revised lexicon was more accurate in feature extraction. Building upon this, the machine learning model for essay text demonstrated excellent performance in predicting career readiness, with random forest outperforming the other algorithms. This study provides a novel approach for schools and parents to comprehend the state of career readiness among high school students, offering a convenient and effective tool for educational activities related to students’ career development.

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Methods for measuring career readiness of high school students: based on multidimensional item response theory and text mining

Wang,

Zheng,

Zhang

et al. 2024

Humanit Soc Sci Commun

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A twelve-country population-based psychometric validation study of the Arabic version of the Social Pain Questionnaire (SPQ)

Fekih-Romdhane,

Alhuwailah,

Sakr

et al. 2024

Preprint

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Background: To our knowledge, there is currently no valid instrument available in the Arabic language to measure the social pain construct. In addition, we could find no previous studies that evaluated social pain in Arabic-speaking individuals of Arab origin. This is a clear gap, especially given the evidence that emotional responses to social rejection vary across cultures. The present study aims to examine the psychometric properties of an Arabic translation of the Social Pain Questionnaire (SPQ) in Arabic-speaking adults from the general population of different Arab countries. Methods: A cross-sectional web-based study was carried-out from February to April 2024 in 12 Arab countries: Algeria, Bahrain, Egypt, Iraq, Jordan, Kingdom of Saudi Arabia, Kuwait, Lebanon, Morocco, Oman, Palestine, Tunisia. A total of 8408 adults from the general population filled the survey, with a mean age of 24.70 ± 8.44 years and 74.5% females. Results: Our findings showed that all 10 items of the Arabic version loaded on one factor and provided a good fit to the data in the present sample. Both the Cronbach's alpha and McDonald’s Omega were greater than 0.9, indicating excellent internal reliability. Multi-level CFA showed that the Arabic version of the SPQ was invariant between adult sex-groups and across countries. Convergent and divergent validity of the scale were evidenced through significant positive correlations between social pain and measures of anxiety, depression, and psychotic experiences severity. In addition, SPQ scores negatively correlated with self-esteem levels. Conclusion: The Arabic translated version of the SPQ was found to be valid, reliable and suitable for use among Arabic-speaking adults from the general population. The Arabic validated SPQ may help shed light on social pain as an important emotional experience that can “hurt” and have serious health effects just as much as physical pain.

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Psychometric properties and item response theory analysis of the Persian version of the social pain questionnaire

Cited by 2 publications

References 61 publications

Methods for measuring career readiness of high school students: based on multidimensional item response theory and text mining

Methods for measuring career readiness of high school students: based on multidimensional item response theory and text mining

A twelve-country population-based psychometric validation study of the Arabic version of the Social Pain Questionnaire (SPQ)

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