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  1. Mohd Khatib NA, Roseliza-Murni A, Mohd Hoesni S, Manap J
    Int J Environ Res Public Health, 2022 Sep 26;19(19).
    PMID: 36231492 DOI: 10.3390/ijerph191912189
    Measuring the factors that underlie adolescent connectedness has become a prominent focused issue in past studies across many disciplines. Thus far, the Hemingway: Measure of Adolescent Connectedness (HMAC) is the first research-based measure of adolescent's relationship and sense of belonging with other people and their surroundings. The current study aimed to examine the measurement model of the Hemingway: Measure of Adolescent Connectedness which has been translated into Bahasa Melayu (HMAC-BM) in order to check for its feasibility among Malaysian adolescents. A total of 377 adolescents aged 16 years old were recruited from the Federal Territory of Kuala Lumpur. Three factors, namely connectedness to family, school, and neighbors with seven sub-factors of the HMAC-BM, were analyzed by Confirmatory Factor Analysis (CFA) using the IBM SPSS Amos 23.0 (23.0, IBM Technology, Armonk, NY, USA). Results of the CFA supported the second-order factor of the HMAC-BM structures. The overall HMAC-BM scale and its subscales have higher factor loadings ranging from 0.60 to 0.79. Cronbach's alpha coefficients ranged from 0.78 to 0.95 for the three subscales and 0.84 for the total scale. Results also revealed seven sub-factors with forty-one factors-solution that accounted for 0.89% of total variance explained for adolescent connectedness. Findings provide empirical support for the feasibility of HMAC-BM in explaining Malaysian adolescents' social connectedness. Hence, the HMAC-BM is a promising measure that can be used on Malaysian adolescents. The findings have important implications which provide a clear picture of HMAC-BM as an accurate instrument to measure adolescent's social connectedness toward enhancing prosocial attitudes and well-being.
  2. Atarhim MA, Manap J, Mastor KA, Mokhtar MK, Yusof A, Zabidi AFM
    J Nurs Meas, 2023 Jun 01;31(2):202-218.
    PMID: 37277156 DOI: 10.1891/JNM-2021-0012
    Background & Purpose: This study aims to consolidate expert views and validated 371 items for developing spiritual intelligence instrument for Muslim nurses guided by the Spiritual Intelligence Model for Human Excellence (SIMHE). Methods: A Fuzzy Delphi Method (FDM) was used to validate these items and analyzed with Triangular Fuzzy Numbers and Defuzzification process. Views from 20 experts from three different backgrounds, namely, theology/Sufism, psychology and Islamic counseling, and evaluation and measurement, were also included in the validation process. Results: All items fulfilled the prerequisite of a threshold level of (d) ≤ 0.2, which obtained more than 75% of expert consensus and α-cut value ≥ of 0.5. Conclusion: The FDM analysis results indicated that all items could further validate the instrument using Rasch measurement analysis.
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