Evidence map›Paper›PMID 36925527›Full record

ArticleHeliyon2023

"Psychometric properties of the Arabic version of the post-traumatic growth inventory with university students in Jordan.

Mais Al-Nasa'h, Kimberly Asner-Self, Hassan Al Omari, Amani Qashmer, Mohammad Alkhawaldeh

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Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Mais Al-Nasa'hDepartment of Counseling and Special Education, School of Educational Sciences, The University of Jordan, Jordan.
Kimberly Asner-SelfClinical Mental Health Program, The School of Health Sciences, Touro University, USA.
Hassan Al OmariDepartment of Educational Psychology, School of Educational Sciences, The University of Jordan, Jordan.
Amani QashmerDepartment of Educational Psychology, School of Educational Sciences, The University of Jordan, Jordan.
Mohammad AlkhawaldehDepartment of Counseling and Special Education, School of Educational Sciences, The University of Jordan, Jordan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-traumatic Growth plays a key role to cope with traumatic incidents. The scale for Post-Traumatic Growth Inventory (PTGI) has been used by several researchers in different languages. This study aims to evaluate the Arabic-translated version of the PTGI scale by focusing on its validity in different languages and contexts. This study introduces an Arabic version of the PTGI-M normed with 417 undergraduate students at a large university in Jordan. The internal consistency (Cronbach's alpha) and test-retest reliability of the instrument were 0.97 and 0.82, respectively. Bivariate correlation was used to approximate the concurrent validity (CV). Significant correlations were found between the PTGI-M and the beck depression inventory (BDI), perceived stress scale (PSS), Taylor's manifest anxiety (TMAS), satisfaction with life (SWL), and the Rosenberg self-esteem scale (RSES). Confirmatory factor analysis (CFA) to assess the convergent and discriminant validity of the translated scale. Convergent and discriminant validity was established for the Arabic version of the PTGI-M by conducting a confirmatory factor analysis (CFA). In conclusion, this study proposes that future investigations should consider analysing the total PTGI-M subtotal scores to comprehend the complexity of the post-traumatic growth experience.

Indexed as

Arabic translationGrowth inventoryPost-traumatic growthPsychometric propertiesScale validation

Identifiers

PMID36925527
PMCPMC10010994

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measurements read23
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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.