Application of network analysis on self-construal scale revised version. A tutorial
Abstract
This study aimed to provide a tutorial on how to conduct network analysis using the R program, as one of the most recent psychometrics models, in addition to explain how we can use the information provided by this new model. The data was obtained by the Self Construal Scale revised version from 200 university students. The steps consisted of extracting the dimensions and obtaining the network loadings of the items and calculating the strength index as the most important centrality indices. To ensure the accuracy of the results, the correlation stability coefficient was calculated. Finally, structural consistency coefficients of each item and dimension were calculated.
References
كريش، أحمد. (مقبول للنشر). النموذج الشبكي طريقة حديثة للتحقق من صلاحية الاختبارات النفسية وفهم الاضطرابات النفسية بمنظور جديد. الاختبارات والمقاييس النفسية: البناء، التقنين، التكييف.
كريش، أحمد. (مقبول للنشر). تقدير النموذج الشبكي لقائمة الرهاب الاجتماعي SPIN واختبار ثبات بنية الشبكة بين الذكور والإناث. مجلة دراسات إنسانية واجتماعية.
Christensen, A. P., & Golino, H. (2021). Estimating the stability of psychological dimensions via Bootstrap Exploratory Graph Analysis: A Monte Carlo simulation and tutorial. Psych, 3(3), 479-500
Costantini, G., Richetin, J., Preti, E., Casini, E., Epskamp, S., & Perugini, M. (2019). Stability and variability of personality networks. A tutorial on recent developments in network psychometrics. Personality and Individual Differences, 136, 68–78.
Cramer, A. O. J., Waldorp, L. J., van der Maas, H. L. J., & Borsboom, D. (2010). Comorbidity: A network perspective. Behavioral and Brain Sciences, 33, 137–150.
Epskamp, S., Borsboom, D., & Fried, E. I. (2018). Estimating psychological networks and their stability: A tutorial paper. Behav. Res. Method. 50 (1), 195-212
Epskamp, S., Maris, G., Waldrop, L. J., & Borsboom, D. (2018). Network psychometrics. In P. Irwing, D. Hughes, & T. Booth (Eds.), The Wiley handbook of psychometric testing, 2 volume set: A multidisciplinary reference on survey, scale and test development. New York, NY: Wiley.
Golino, H.F, Epskamp, S. (2016). Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research. PLoS ONE, 12(6): e0174035.
Hallquist, M. N., Wright, A. G. C., & Molenaar, P. C. M. (2019). Problems with centrality measures in psychopathology symptom networks: Why network psychometrics cannot escape psychometric theory. Multivariate Behavioral Research, 1–25.
Rozgonjuk, D., Sindermann, C., Elhai, J.D., Christensen, A.P., & Montag, C. (2020). Associations between symptoms of problematic smartphone, Facebook, WhatsApp, and Instagram use: An item-level exploratory graph analysis perspective. J Behav Addict, 9(3), 686-697.
Schmittmann, V. D., Cramer, A. O. J., Waldorp, L. J., Epskamp, S., Kievit, R. A., & Borsboom, D. (2013). Deconstructing the construct: A network perspective on psychological phenomena. New Ideas in Psychology, 31, 43–53.
Singelis, T. M. (1994). The measurement of independent and interdependent self-construals. Personality and Social Psychology Bulletin, 20, 580–591.
Copyright (c) 2023 Social Sciences journal
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.