Evidence map›Paper›PMID 37840784›Full record

ArticleFrontiers in psychiatry2023

The cognitive adaptability and resiliency employment screener (CARES): tool development and testing.

Wilfredo Manuel R Torralba, Marlyn Thomas Savio, Xieyining Huang, Priyanka Manchanda, Miriah Steiger, Timir Bharucha, María Martín López, Keanan J Joyner, Rachel Lutz Guevara

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

9 authors.

Wilfredo Manuel R TorralbaTaskUs Inc., New Braunfels, TX, United States.
Marlyn Thomas SavioTaskUs Inc., New Braunfels, TX, United States.
Xieyining HuangTaskUs Inc., New Braunfels, TX, United States.
Priyanka ManchandaTaskUs Inc., New Braunfels, TX, United States.
Miriah SteigerTaskUs Inc., New Braunfels, TX, United States.
Timir BharuchaTaskUs Inc., New Braunfels, TX, United States.
María Martín LópezDepartment of Psychology, University of California, Berkeley, Berkeley, CA, United States.
Keanan J JoynerDepartment of Psychology, University of California, Berkeley, Berkeley, CA, United States.
Rachel Lutz GuevaraTaskUs Inc., New Braunfels, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: To decrease psychological risk for content moderators, the study initiated the first steps of developing a robust employment screening tool, namely, the Cognitive Adaptability and Resiliency Employment Screener. Method: The study consisted of three phases with 4,839 total participants. Results: In Phase 1, a set of 76 items were developed and tested via exploratory factor analysis, yielding three factors (i.e., Psychological Perseverance & Agility, Rumination & Emotional Lingering, and Expressiveness & Sociability) and also reducing the scale to 68 items. In Phase 2 through confirmatory factor analysis, the three-factor structure showed good fit (CFI = 0.92, RMSEA = 0.05) and demonstrated sufficient overall reliability. In Phase 3, the convergent validity and divergent validity of the tool were established relative to constructs such as resilience, cognitive control and flexibility, emotion regulation, and optimism. Discussion: Altogether, the findings revealed that the scale demonstrated good psychometric properties that, pending future studies, may serve as a promising employment screener for content moderators.

Indexed as

content moderatorfactor analysispsychometricsrecruitmentresilience

Identifiers

PMID37840784
PMCPMC10570752

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.