Development and validation of the Maugeri Sleep Quality and Distress Inventory (MaSQuDI–17)

Morrone, Elisa; Sguazzin, Cinzia; Bertolotti, Giorgio; Giordano, Andrea; Giorgi, Inés

doi:10.1183/1393003.congress-2017.pa332

Cited by 4 publications

(13 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The detailed participant demographic information is presented in Table 1. A sample size of 150 is acceptable for most purposes (99% confidence interval for estimated item difficulty calibrations remaining stable within the absolute value of 0.5 logit) (Linacre, 1994; Morrone et al., 2017).…”

Section: Methodsmentioning

confidence: 99%

“…Finally, reliability is evaluated in terms of separation defined as the ratio of the person (or item) true standard deviation to the error standard deviation (Bond & Fox, 2015). Item separation is used to verify the item hierarchy and reflects the number of strata of measures that are statistically discernible (Fisher, 1992; Morrone et al., 2017).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Reliability and validity of the Japanese version of the ADL-focused Occupation-based Neurobehavioural Evaluation (A-ONE J): Applying Rasch analysis methods

Higashi

Takabatake

Matsubara

et al. 2019

Hong Kong Journal of Occupational Therapy

View full text Add to dashboard Cite

Background/objective The ADL-focused Occupation-based Neurobehavioral Evaluation (A-ONE) can be used to evaluate both performances of activities of daily living (ADL) tasks and neurobehavioural problems that interfere with ADL task performance among clients with neurological disorders. Research studies have demonstrated acceptable psychometric properties of the original version of the A-ONE as well as the Rasch analysed version. The aim of this study was to examine the reliability and validity of the Japanese version of the A-ONE (A-ONE J). Methods Rasch analysis was performed on data obtained from eight different hospitals in Japan on performances of 150 individuals diagnosed with a stroke based on the functional independence (FI) scale items. The rating scale structure was investigated and internal validity and reliability were examined. Unidimensionality of the items was examined by mean square infit values and principal component analysis of residuals. The targeting between person ability and item difficulty was explored, as well as the separation reliability. Finally, psychometric values and item difficulty hierarchies obtained in this study were compared to the original Rasch analysis of the A-ONE. Results The rating scale structure might be improved by collapsing two categories twice (from five categories to three categories). Unidimensionality of the items was obtained for 20 items. Targeting was acceptable, and separation reliability for item calibrations was high and acceptable for people. Conclusion/limitations: This study provides important information regarding the possibilities for revising the ordinal A-ONE J FI Scale, converting it into a unidimensional scale. Further study with increased and more diverse sample is needed.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reliability and validity of the Japanese version of the ADL-focused Occupation-based Neurobehavioural Evaluation (A-ONE J): Applying Rasch analysis methods

Higashi

Takabatake

Matsubara

et al. 2019

Hong Kong Journal of Occupational Therapy

View full text Add to dashboard Cite

show abstract

“…We found three such datasets: the Sleep Quality and Distress Inventory dataset (Morrone et al ., 2017), the Trypophobia Questionnaire dataset (Imaizumi & Tanno, 2018) and the Coping Health Inventory for Parents instrument dataset (Gothwal, Bharani, & Reddy, 2015). .…”

Section: Experimental Studymentioning

confidence: 99%

“…The Sleep Quality and Distress Inventory is an instrument that was developed to measure the effect of sleep impairment on emotional distress in patients with various sleep disorders (Morrone et al ., 2017). The original survey consists of responses from 457 subjects to 36 polytomous questions with four response categories: `never', `sometimes', `often' and `always', coded 1 to 4, respectively (Morrone et al ., 2017). Since the subjects rarely choose categories 3 (`often') and 4 (`always'), these categories were then combined into a new category 3, `frequently' (Morrone et al ., 2017).…”

Section: Experimental Studymentioning

confidence: 99%

Semi‐automated Rasch analysis using in‐plus‐out‐of‐questionnaire log likelihood

Wijayanto

Mul

Groot

et al. 2020

Brit J Math & Statis

View full text Add to dashboard Cite

Rasch analysis is a popular statistical tool for developing and validating instruments that aim to measure human performance, attitudes and perceptions. Despite the availability of various software packages, constructing a good instrument based on Rasch analysis is still considered to be a complex, labour-intensive task, requiring human expertise and rather subjective judgements along the way. In this paper we propose a semi-automated method for Rasch analysis based on first principles that reduces the need for human input. To this end, we introduce a novel criterion, called in-plus-out-of-questionnaire log likelihood (IPOQ-LL). On artificial data sets, we confirm that optimization of IPOQ-LL leads to the desired behaviour in the case of multi-dimensional and inhomogeneous surveys. On three publicly available real-world data sets, our method leads to instruments that are, for all practical purposes, indistinguishable from those obtained by Rasch analysis experts through a manual procedure. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

show abstract

“…Three instruments, the FOSQ, 74,28 Occupational Impact of Sleep Questionnaire (OISQ), 50 and the Sleep Functional Impact Scale (SFIS), 31 evaluate the effects of insomnia on overall functioning. Conversely, the Sleep Disturbance Questionnaire (SDQ) 51 evaluates factors which contribute to poor sleep, and the Maugeri Sleep Quality and Distress Inventory (MaSQuDI-17) 52 measures the emotional burden of insomnia.…”

Section: Itemsmentioning

confidence: 99%

<p>A Systematic Review of Instruments for the Assessment of Insomnia in Adults</p>

Ali

Zolezzi

Awaisu

2020

NSS

View full text Add to dashboard Cite

Introduction: Self-reported sleep instruments remain the most practical methods for the assessment of insomnia in clinical practice. This systematic review aims to identify, describe and summarize the psychometric properties of questionnaires available for the assessment of insomnia in the adult population. In addition, the review also aimed to identify sleep instruments available in the Arabic language. Methods: A systematic literature search was conducted using the following electronic databases: PubMed, EMBASE, ProQuest Central, SCOPUS, and Google Scholar. The quality assessment of the instruments was conducted using two established international criteria. Results: One hundred and seven articles were selected for inclusion, from which 31 instruments were identified and categorized based on the constructs they assess as: (1) screening for insomnia (n=14); (2) measuring the consequences of insomnia (n=8); (3) assessing the cognitive aspects of insomnia (n= 5); and (4) assessing sleep hygiene (n= 4). The review of the psychometric properties showed that the Insomnia Severity Index and the Functional Outcomes of Sleep Questionnaire were the most extensively evaluated instrument. Criterion validity and reliability measures were the most commonly reported properties. Only four of the identified instruments were available in Arabic. Discussion: Overall, the findings of this study indicate ample availability of sleep instruments. However, psychometric testing for several of the available sleep instruments remains incomplete, particularly responsiveness and interpretability. Our findings suggest that future studies should focus on reporting more psychometric measures to ensure the trustworthiness of these instruments.

show abstract

Development and validation of the Maugeri Sleep Quality and Distress Inventory (MaSQuDI–17)

Cited by 4 publications

References 31 publications

Reliability and validity of the Japanese version of the ADL-focused Occupation-based Neurobehavioural Evaluation (A-ONE J): Applying Rasch analysis methods

Reliability and validity of the Japanese version of the ADL-focused Occupation-based Neurobehavioural Evaluation (A-ONE J): Applying Rasch analysis methods

Semi‐automated Rasch analysis using in‐plus‐out‐of‐questionnaire log likelihood

<p>A Systematic Review of Instruments for the Assessment of Insomnia in Adults</p>

Contact Info

Product

Resources

About