Evidence map›Paper›PMID 29614117›Full record

ArticlePloS one2018

The performance of the IES-R for Latinos and non-Latinos: Assessing measurement invariance.

Jitske Tiemensma, Sarah Depaoli, Sonja D Winter, John M Felt, Holly M Rus, Amber C Arroyo

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  5. Article
  6. Psychological impact of COVID19 on community pharmacists and pharmacy technicians.Exploratory research in clinical and social pharmacy · 2022
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  7. Article
  8. Article
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  16. Psychological Effects and Associated Factors of COVID-19 in a Mexican Sample.Disaster medicine and public health preparedness · 2020
    Article
  17. Article
  18. 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

6 authors.

Jitske TiemensmaPsychological Sciences, University of California, Merced, CA, United States of America.
Sarah DepaoliPsychological Sciences, University of California, Merced, CA, United States of America.ORCID 0000-0002-1277-0462
Sonja D WinterPsychological Sciences, University of California, Merced, CA, United States of America.
John M FeltPsychological Sciences, University of California, Merced, CA, United States of America.
Holly M RusPsychological Sciences, University of California, Merced, CA, United States of America.
Amber C ArroyoPsychological Sciences, University of California, Merced, CA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Violent acts on university campuses are becoming more frequent. Enrollment rates of Latinos at universities is increasing. Research has indicated that youths are more susceptible to trauma, particularly Latinos. Thus, it is imperative to evaluate the validity of commonly used posttraumatic stress measures among Latino college students. The Impact of Event Scale-Revised (IES-R) is one of the most commonly used metrics of posttraumatic stress disorder symptomatology. However, it is largely unknown if the IES-R is measuring the same construct across different sub-samples (e.g. Latino versus non-Latino). The current study aimed to assess measurement invariance for the IES-R between Latino and non-Latino participants. A total of 545 participants completed the IES-R. One- and three-factor scoring solutions were compared using confirmatory factor analyses. Measurement invariance was then evaluated by estimating several multiple-group confirmatory factor analytic models. Four models with an increasing degree of invariance across groups were compared. A significant χ2 difference test was used to indicate a significant change in model fit between nested models within the measurement invariance testing process. The three-factor scoring solution could not be used for the measurement invariance process because the subscale correlations were too high for estimation (rs 0.92-1.00). Therefore, the one-factor model was used for the invariance testing process. Invariance was met for each level of invariance: configural, metric, scalar, and strict. All measurement invariance testing results indicated that the one-factor solution for the IES-R was equivalent for the Latino and non-Latino participants.

Indexed as

AdolescentAdultCaliforniaEthnicityHispanic or LatinoHumansPopulation SurveillancePsychometricsReproducibility of ResultsStress Disorders, Post-TraumaticStudentsUniversitiesYoung Adult

Identifiers

PMID29614117
PMCPMC5882119

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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.