Evidence map›Paper›PMID 37051412›Full record

ArticlePeerJ2023

Evaluating the psychometric properties of the Chronic Time Pressure Inventory using Rasch analysis.

Andrew Denovan, Neil Dagnall, Kenneth Drinkwater, Álex Escolà-Gascón

Abstract read
In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

4 authors.

Andrew DenovanPeople and Performance, The Manchester Metropolitan University, Manchester, United Kingdom.ORCID 0000-0002-9082-7225
Neil DagnallPsychology, The Manchester Metropolitan University, Manchester, United Kingdom.ORCID 0000-0003-0657-7604
Kenneth DrinkwaterPsychology, The Manchester Metropolitan University, Manchester, United Kingdom.ORCID 0000-0002-4015-0578
Álex Escolà-GascónApplied Mathematics, Ramon Llull University, Barcelona, Spain.ORCID 0000-0002-3086-4024

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic time pressure is a common source of everyday stress and anxiety. Noting this, the Chronic Time Pressure Inventory (CTPI) was designed to measure the construct within general samples. The CTPI was validated using procedures informed by classical test theory. This identified a bifactor solution, comprising a general factor encompassing two overlapping factors: Cognitive Awareness of Time Shortage and Feeling Harried. Furthermore, the CTPI demonstrated good psychometric integrity. Explicitly, internal consistency, satisfactory convergent validity with the Perceived Stress Scale, and measurement invariance. While these outcomes indicated that the CTPI was an effective measure of chronic time pressure, the scale was not subjected to analysis of item-person functioning ( Methods: This study accordingly examined the psychometric properties of the CTPI using Rasch analysis. A general sample of 748 (595 females, 153 males) participants completed the measure online. Results: Initial findings recommended modification of the response scale. Subsequent analyses revealed unidimensionality, adequate item/person reliability, and gender invariance. Overall, findings confirmed that the CTPI was a valid instrument for assessing perceptions of chronic time pressure within general population samples. Noting the lack of items aligning with higher ability levels, future work should develop the CTPI by adding more complex positively keyed items.

Indexed as

AnxietyAnxiety DisordersFemaleHumansMalePsychometricsReproducibility of ResultsSurveys and QuestionnairesChronic time pressureChronic Time Pressure InventoryDimensionalityPsychometric propertiesRasch analysis

Identifiers

PMID37051412
PMCPMC10084821

What OpenQuestion holds

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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.