The psychometric properties of the self-reported SDQ – An analysis of Swedish data based on the Rasch model

Abstract Background Reliable and valid measurement is the foundation of evidence-based practice. The self-administered Foot Health Assessment Instrument (S-FHAI) was recently developed to measure patients’ evaluations of their own foot health. Evidence regarding the psychometric properties of the S-FHAI is limited. The aim of this study was to investigate those properties by using a Rasch analysis. Methods This methodological study analysed secondary data that was collected from nurses (n = 411) in 2015. The psychometric properties of the S-FHAI were evaluated using the Rasch model. Unidimensionality was analysed first, followed by item functioning, person misfit and differential item functioning (DIF). Results The S-FHAI demonstrated evidence of unidimensionality, with an acceptable item fit according to the Rasch model. Person fit and person separation were low, however, indicating restricted separation among different respondents. Item separation was high, demonstrating clear discrimination between the items. No DIF was detected in relation to gender, but significant DIF was demonstrated in relation to age for 6 of the 25 items. Conclusions The S-FHAI has potential for use in investigating self-reported foot health. The Rasch analysis revealed that the psychometric properties of the instrument were acceptable, although some issues should be addressed to improve the scale. In future, it may be beneficial to analyse the sensitivity of the items and to test the S-FHAI in more diverse patient populations.

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SCHFI 6.2 Self-Care Confidence Scale - Brazilian version: psychometric analysis using the Rasch model

Revista Latino-Americana de Enfermagem ◽

10.1590/1518-8345.3378.3313 ◽

2020 ◽

Vol 28 ◽

Author(s):

Diná de Almeida Lopes Monteiro da Cruz ◽

Ana Maria Miranda Martins Wilson ◽

Michele Nakahara Melo ◽

Ana Paula da Conceição ◽

Leidy Johanna Rueda Diaz

Keyword(s):

Heart Failure ◽

Psychometric Properties ◽

Rasch Model ◽

Self Care ◽

The Self ◽

Psychometric Analysis ◽

Brazilian Version ◽

Secondary Study ◽

The Rasch Model ◽

Confidence Scale

Objective: to evaluate the psychometric properties of the Self-Care Confidence Scale in heart failure in the Brazilian version of the Self Care Heart Failure Index, version 6.2, using the Rasch model criteria. Method: secondary study, of psychometric analysis, using the Rasch model, of the six items of the scale. The sample consisted of 409 patients with heart failure undergoing outpatient treatment [mean age 57.9 (standard deviation = 11.6) years, 54.8% male]. Results: of the total of six items, one (“De maneira geral, você está confiante sobre estar livre dos sintomas de insuficiência cardíaca?”) presented maladjustment to the model (Infit = 1.84 and Outfit = 1.99). After the exclusion of this item, the others showed a good fit, composed one dimension and explained 55% of the variance in the data; the categories of response to the items were adequate, the values of separation and reliability of person were 2.13 and 0.82, respectively, and Cronbach’s alpha was 0.87. Items of extreme difficulty were identified and there is no differential functioning of the items in relation to sex. Conclusion: with the exclusion of the first item, the Self-Care Confidence Scale showed good psychometric properties, with caution in interpreting the results of the six-item scale.

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Evaluation of Hajj Instrument (HAJI) Psychometric Properties Using Rasch Measurement

Asian Social Science ◽

10.5539/ass.v12n8p212 ◽

2016 ◽

Vol 12 (8) ◽

pp. 212

Author(s):

Muhammad Iqbal Tariq Idris ◽

Abdul Hafidz Omar ◽

Dayang Hjh Tiawa Awang Hj Hamid ◽

Fahmi Bahri Sulaiman

Keyword(s):

Physical Activity ◽

Psychometric Properties ◽

Healthy Eating ◽

Rasch Model ◽

Rasch Measurement ◽

Mental Toughness ◽

Validity And Reliability ◽

Item Fit ◽

The Rasch Model ◽

Physical Care

<p>Hajj Instrument (HAJI) was developed to determine hajj pilgrim’s wellness. This study used Rasch measurement to evaluate the psychometric properties including validity and reliability of the HAJI. The respondents involved in this study were 300 comprised of Malaysian hajj pilgrims. HAJI consists of eight constructs namely physical care, physical activity, healthy eating, knowledge, mental toughness, intrapersonal, interpersonal and relationship with Creator and natures. Validity of each construct and content was determined through dimensionality, item fit and item polarity while the reliability was achieved by administered person and item separation. The results showed that the reliability for both item and person were 0.99 and 0.96 respectively. Besides, there were no items need to be dropped based on PTMEA CORR and INFIT MNSQ results. The study revealed that the items of HAJI fit the Rasch model as well as able to measure hajj pilgrim’s wellness. </p>

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Rasch Model of the COVID-19 Symptom Checklist - Towards a Higher Quality of Self-Reported Measurement

10.21203/rs.3.rs-251823/v1 ◽

2021 ◽

Author(s):

Tanja A Stamm ◽

Valentin Ritschl ◽

Maisa Omara ◽

Margaret R Andrews ◽

Nils Mevenkamp ◽

...

Keyword(s):

Rasch Model ◽

Pollen Allergy ◽

Educational Status ◽

Measurement Model ◽

Measurement Precision ◽

The Self ◽

Symptom Checklist ◽

Personal Factors ◽

Lay Persons ◽

The Rasch Model

Abstract Background: Inaccurate measurement of self-reported instruments including questionnaires and symptom checklists jeopardizes the comparability of the results. We therefore used advanced psychometric modelling to determine if the fundamental principles of measurement of an online self-reported COVID-19 symptom checklist were met or whether adaptations were necessary to increase measurement precision.Methods: Fit to the Rasch model was examined in a sample of 1638 Austrian citizens who completed an online COVID-19 symptom checklist on up to 20 days during a period of restrictive country-wide COVID-19 measures.Results: The longitudinal application of the self-reported COVID-19 symptom checklist increased the fit to the Rasch model. The items ‘fatigue’, ‘headache’ and ‘sneezing’ had the highest likelihood to be affirmed. The item ‘cough’ showed a significant misfit to the fundamental measurement model and an additional dependency to ’dry cough/no sputum production’. Several personal factors, such as gender, age group, educational status, COVID-19 test status, comorbidities, immunosuppressive medication, pregnancy and pollen allergy led to systematic differences in the patterns of how symptoms were affirmed. Adjustments ranged from ±0.25 to ±0.01 on the metric scales (0 to 10) to which the raw scores were transformed.Conclusion: Except for some basic adaptations, the present analysis supports the combination of items. More accurate item wordings co-created with lay persons and adjustments for personal factors would increase measurement precision of the self-reported COVID-19 symptom checklist.

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Assessing the Psychometric Properties of the Comprehensive Inventory of Mindfulness Experiences (CHIME) Using Rasch Analysis

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000453 ◽

2019 ◽

Vol 35 (5) ◽

pp. 650-657 ◽

Cited By ~ 1

Author(s):

Oleg N. Medvedev ◽

Claudia Bergomi ◽

Philipp Röthlin ◽

Christian U. Krägeloh

Keyword(s):

Psychometric Properties ◽

Rasch Model ◽

Rasch Analysis ◽

Well Being ◽

Theoretical Work ◽

Model Fit ◽

Scale Scores ◽

Internal Construct Validity ◽

The Rasch Model ◽

Best Fit

Abstract. Mindfulness-based interventions are found beneficial to improving well-being and alleviating symptoms of psychological distress, although accurate measurement of the psychological construct of mindfulness remains a challenge. Theoretical work has highlighted characteristics of mindfulness, which can be assessed comprehensively by the recently developed eight-factor Comprehensive Inventory of Mindfulness Experiences (CHIME). While the instrument has demonstrated acceptable psychometric properties, its ability to discriminate precisely across individual mindfulness levels has not been rigorously investigated. The current study subjected responses of 443 participants to Rasch analysis to investigate and enhance the psychometric properties of the CHIME. The best fit to the Rasch model was achieved for every individual subscale with only minor modifications that involved combining some locally dependent items into a testlet. The total scale was then fitted to the Rasch model with individual subscales treated as testlets, and the best model fit was attained after two correlated subscales were treated as a single testlet, χ2(63) = 70.76, p = .23. Therefore, it was possible to generate ordinal-to-interval conversion tables for individual subscales and the total scale scores, which increase the instrument’s precision. The results support internal construct validity and enhance psychometric properties of the CHIME.

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Measurement of anhedonia

European Psychiatry ◽

10.1016/s0924-9338(97)81056-5 ◽

1996 ◽

Vol 11 (7) ◽

pp. 335-343 ◽

Cited By ~ 21

Author(s):

H D'haenen

Keyword(s):

Conceptual Framework ◽

Psychometric Properties ◽

Rasch Model ◽

Social Anhedonia ◽

Dutch Translation ◽

State Dependent ◽

Original Scale ◽

The Rasch Model

SummaryInstruments developed to measure anhedonia are reviewed and their psychometric properties and conceptual framework discussed. Most instruments were designed considering anhedonia to be a symptom either of schizophrenia or of depression. Only the Physical and Social Anhedonia Scales of Chapman et al, designed to measure a lifelong pleasure deficiency, considered to be related to schizophrenia, and, to a lesser extent, the Pleasure Scale of Fawcett et al, designed to evaluate a state dependent deficit, considered to identify a subtype of depression, have been psychometrically extensively investigated. Since we were interested in studying anhedonia in depression, we made a Dutch translation of the Fawcett-Clark Pleasure Scale and report here on the psychometric properties of this translated version. Using the Rasch model for testing the homogeneity and transferability of the scale, we demonstrated that the original scale did not fit the model. A subscale of 14 items was constructed which did.

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