Dataset Information

Test equating sleep scales: applying the Leunbach's model.

ABSTRACT:

Background

In most cases, the total scores from different instruments assessing the same construct are not directly comparable, but must be equated. In this study we aimed to illustrate a novel test equating methodology applied to sleep functions, a domain in which few score comparability studies exist.

Methods

Eight scales from two cross-sectional self-report studies were considered, and one scale was common to both studies. The International Classification of Functioning, Disability and Health (ICF) was used to establish content comparability. Direct (common persons) and indirect (common item) equating was assessed by means of Leunbach's model, which equates the scores of two scales depending on the same person parameter, taking into account several tests of fit and the Standard Error of Equating (SEE).

Results

All items were linked to the body functions category b134 of the ICF, which corresponds to 'Sleep functions'. The scales were classified into three sleep aspects: four scales were assessing mainly sleep disturbance, one quality of sleep, and three impact of sleep on daily life. Of 16 direct equated pairs, 15 could be equated according to Leunbach's model, and of 12 indirect equated pairs, 8 could be equated. Raw score conversion tables between each of these 23 equated pairs are provided. The SEE was higher for indirect than for direct equating. Pairs measuring the same sleep aspect did not show better fit indices than pairs from different aspects. The instruments mapped to a higher order concept of sleep functions.

Conclusion

Leunbach's equating model has been successfully applied to a functioning domain little explored in test equating. This novel methodology, together with the ICF, enables comparison of clinical outcomes and research results, and facilitates communication among clinicians.

SUBMITTER: Adroher ND

PROVIDER: S-EPMC6613254 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Test equating sleep scales: applying the Leunbach's model.

Adroher Núria Duran ND Kreiner Svend S Young Carolyn C Mills Roger R Tennant Alan A

BMC medical research methodology 20190708 1

<h4>Background</h4>In most cases, the total scores from different instruments assessing the same construct are not directly comparable, but must be equated. In this study we aimed to illustrate a novel test equating methodology applied to sleep functions, a domain in which few score comparability studies exist.<h4>Methods</h4>Eight scales from two cross-sectional self-report studies were considered, and one scale was common to both studies. The International Classification of Functioning, Disabi ...[more]

PMID: 31286889

Similar Datasets

Project description:BackgroundDisturbed sleep is commonly reported in fibromyalgia (FM). Both the Sleep Quality Numeric Rating Scale (NRS) and the Medical Outcomes Study Sleep Scale (MOS-Sleep) have demonstrated positive psychometric properties in patients with FM. However, these assessments were developed prior to the current recommendation to include patient input during the concept elicitation or item generation phases. Therefore, the objective of this study was to evaluate the impact of FM on participants, including their sleep, and to test the content validity of these two sleep measures in FM patients.MethodsQualitative interviews were conducted in Raleigh, North Carolina and Detroit, Michigan with 20 adults who reported a physician diagnosis of FM. Sixteen participants were female, 13 were white, and the average age was 50 years. Two researchers conducted all interviews using a structured guide.ResultsParticipants consistently reported that FM had a debilitating impact on their lives and their sleep, particularly getting to sleep and staying asleep. Participants responded positively to the Sleep Quality NRS as an assessment of their sleep. The majority of participants stated that they would not change the response numbering or wording of the item's anchors. Participants also responded positively to the 24-hour recall period of the Sleep Quality NRS. Participants found the 12-item MOS-Sleep to be appropriate and relevant; 19 participants indicated the measure captured all of their sleep-related symptoms. However, areas for potential modification were identified, such as the need to separate the item regarding awakening short of breath and awakening with a headache into two separate questions. Participants also questioned the relevance of the snoring and awakening short of breath items to FM. Half of participants expressed a preference for a daily rather than a weekly recall period.ConclusionThis study demonstrates the significant impact that FM has on patients' lives, particularly sleep. While patients with FM were not part of the development of the generic sleep assessments that were evaluated, this study provides evidence of their content validity, supporting their use in FM studies. Modifications to the MOS-Sleep may improve the psychometric properties and relevance to patients with FM.

Dataset Information

Test equating sleep scales: applying the Leunbach's model.

Background

Methods

Results

Conclusion

Publications

Test equating sleep scales: applying the Leunbach's model.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets