Evidence map›Paper›PMID 36943556›Full record

ArticleJournal of religion and health2023

Developing a Jordanian Measure of Reverence in Muslim Praying ('Khushoo'): Content Validity, Factor Structure and Reliability.

Basim Aldahadha

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In one paragraph

Article in Journal of religion and health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
8.6field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Basim AldahadhaDepartment of Counseling and Special Education, Mutah University, Mutah, Al-Karak, 61710, Jordan. basimal@mutah.edu.jo.ORCID http://orcid.org/0000-0001-6630-4718
Mutah University · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many Muslims complain of straying while praying because of life's problems and psychological pressures (i.e., reflecting on topics other than prayer). To assess this problem, it was necessary to develop a measure of reverence in Muslim praying (MRMP). The study aimed to collect items from the theoretical literature and investigate these to determine the validity of the content by consultation with a group of experts (n = 17), after which the number of items was reduced to 39. The study focused on two random and completely different samples. The first sample (n = 396) was used to verify the validity of exploratory factor analysis (EFA). The results showed that the following four factors explain 67.27% of the variance in the total scale: groveling, focused attention, contemplation, and praying behavior control. The second sample (n = 362) was used to verify the confirmatory factor analysis (CFA) as well as the convergent validity and reliability of the data. Additionally, the four factors were confirmed using bifactor confirmatory factor analysis (B-CFA) and met the criteria for fitness. Likewise, all correlation values between the MRMP and mental health, mindfulness, happiness, and well-being were significant. In addition, the Cronbach's alpha coefficients of the four factors ranged between 0.85 and 0.77 and the total score was 0.92. Finally, the correlations between the MRMP and the four factors were significant. The study concluded that the MRMP is appropriate for assessing reverence in Muslim praying, can be used to promote psychological health in the context of prayers, and can serve as a foundation for future research.

Indexed as

IslamMental HealthFactor Analysis, StatisticalHumansJordanPsychometricsReproducibility of ResultsSurveys and QuestionnairesContent validityFactor analysisPrayersReliabilityReverence

Identifiers

PMID36943556
OpenAlexW4328048145

What OpenQuestion holds

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.