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

2019 ◽  
Vol 35 (5) ◽  
pp. 650-657 ◽  
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.

A Rasch Analysis of the Tims, Bakker, and Derks (2012) Job Crafting Scale

2018 ◽  
Vol 27 (4) ◽  
pp. 579-593
Author(s):  
Sergio L. Peral ◽  
Madelyn Geldenhuys
Keyword(s):  
South African ◽  
Rasch Model ◽  
Rasch Analysis ◽  
Well Being ◽  
Job Crafting ◽  
Research Attention ◽  
Men And Women ◽  
Item Functioning ◽  
Validation Technique ◽  
The Rasch Model

A Rasch validation was performed on the Tims, Bakker, and Derks’s Job Crafting Scale (JCS) in the South African working context. The JCS, which has been linked to employee well-being and career-related outcomes, continues to be the most widely used measure of job crafting behavior. Data obtained from the JCS generally showed good fit to the Rasch model. Four items were flagged during the analysis for displaying misfit (1 item) or differential item functioning (3 items), warranting further research attention. The study disclosed the dimensionality of the JCS, the hierarchical ordering and fit of the items, the functionality of the response format, and the ability of the JCS to measure invariantly across men and women, yielding new and interesting insights into the psychometric properties of the scale. The study contributes to research concerning the validity of the JCS in a non-European context, particularly through the use of Rasch analysis as a validation technique.

scholarly journals KOOS-JR Demonstrates Psychometric Limitations in Measuring Knee Health in Individuals After ACL Reconstruction

2018 ◽  
Vol 11 (3) ◽  
pp. 242-246 ◽  
Author(s):  
Jennifer L. Hunnicutt ◽  
Brittany N. Hand ◽  
Chris M. Gregory ◽  
Harris S. Slone ◽  
Michelle M. McLeod ◽  
...  
Keyword(s):  
Rasch Model ◽  
Rasch Analysis ◽  
Rating Scale ◽  
Short Form ◽  
Model Fit ◽  
Measurement Properties ◽  
Factor Analysis Model ◽  
Ceiling Effects ◽  
The Mean ◽  
The Rasch Model

Background: Measurement properties of the short form of the Knee injury and Osteoarthritis Outcome Score (KOOS-JR) are not established in individuals after anterior cruciate ligament reconstruction (ACLR). The purpose of this study was to determine the extent to which the KOOS-JR measures the construct of knee health in individuals post-ACLR using Rasch analysis. Hypothesis: The KOOS-JR will fit the Rasch model, but significant ceiling effects will be present. Study Design: Cross-sectional study. Level of Evidence: Level 3. Methods: Rasch analysis of the KOOS-JR from 166 individuals 10 months post-ACLR was conducted. Unidimensionality, a key criterion of the Rasch model, was evaluated using confirmatory factor analysis. Model fit of the rating scale, items, and persons were evaluated. Mean square fit statistics ≥1.6 and standardized z-scores ≥2.0 were indicative of person or item misfit. Additionally, reliability indicators including person reliability and separation indices were examined. Results: The KOOS-JR fit the criteria of unidimensionality. All items demonstrated model fit; however, ceiling effects were noted (n = 36; 22%). Person reliability was low (0.47). Calculation of person strata revealed that the KOOS-JR did not separate participants into more than 1 stratum. The mean person measure was 3.56 logits higher than the mean item measure, indicating that this sample is skewed toward increased knee health. Conclusion: Although the KOOS-JR represented a unidimensional construct with items and persons fitting the Rasch model, several limitations were noted: ceiling effects, low person reliability, and poor person differentiation. Ceiling effects indicate that many individuals in this sample experienced better knee health than the KOOS-JR items were able to measure. Clinical Relevance: Evaluating the measurement properties of the KOOS-JR is necessary to determine its clinical value in sports medicine. In later stages after ACLR recovery, administration of the KOOS-JR may not be adequate.

scholarly journals A Rasch analysis of the self-administered Foot Health Assessment Instrument (S-FHAI)

BMC Nursing ◽  
2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Minna Stolt ◽  
Anders Kottorp ◽  
Riitta Suhonen
Keyword(s):  
Psychometric Properties ◽  
Rasch Model ◽  
Rasch Analysis ◽  
Health Assessment ◽  
Secondary Data ◽  
The Self ◽  
Assessment Instrument ◽  
Foot Health ◽  
Item Functioning ◽  
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.

scholarly journals Providing a psychological scale to measure COVID-19 phobia in the Indonesian version: a brief report on validation of C19P-S via Rasch Analysis

2021 ◽  
Vol 4 (3) ◽  
pp. 471-481
Author(s):  
Anastasia Dewi Anggraeni ◽  
Helda Jolanda Pentury ◽  
Itsar Bolo Rangka
Keyword(s):  
Psychometric Properties ◽  
Rasch Model ◽  
Rasch Analysis ◽  
Psychological Measurement ◽  
Sample Group ◽  
Psychological Scale ◽  
Measurement Tools ◽  
Specific Phobias ◽  
The Rasch Model

Specific phobias such as COVID-19 are new and are believed to have developed rapidly since the beginning of the Pandemic established by the WHO in March 2020. Unfortunately, the development of psychological measurement tools related to COVID-19 Phobia is still inadequate in Indonesia. This study aims to validate the Indonesian version of the Phobia scale against COVID-19 (C19P-S). It was recorded that 220 respondents from various groups were involved in this study. The data collected were analyzed by means of the Rasch Model to determine the accuracy of the validated psychometric properties of the scale. The study findings show that the Indonesian version of C19P-S has sufficient psychometric properties and can measure phobia against COVID-19 in the sample group tested. Of the 20 items of the C19P-S, we recommend 18 items that are suitable for use by users of this scale.

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

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>

Rasch Modeling and Confirmatory Factor Analysis of the Systemizing Quotient-Revised (SQ-R) Scale

2015 ◽  
Vol 18 ◽  
Author(s):  
Carrie Allison ◽  
Simon Baron-Cohen ◽  
Mark H Stone ◽  
Steven J Muncer
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Rasch Model ◽  
Rating Scale ◽  
Autism Spectrum ◽  
Rasch Modeling ◽  
Confirmatory Factor ◽  
Scale Scores ◽  
Spectrum Condition ◽  
The Rasch Model

AbstractThis study assessed the dimensionality of the Systemizing Quotient-Revised (SQ-R), a measure of how strong a person's interest is in systems, using two statistical approaches: Rasch modeling and Confirmatory Factor Analysis (CFA). Participants included N = 675 with an autism spectrum condition (ASC), N = 1369 family members of people with ASC, and N = 2014 typical controls. Data were applied to the Rasch model (Rating Scale) using WINSTEPS. The data fit the Rasch model quite well lending support to the idea that systemizing could be seen as unidimensional. Reliability estimates were .99 for items and .92 for persons. A CFA parceling approach confirmed that a unidimensional model fit the data. There was, however, differential functioning by sex in some of these items. An abbreviated 44-item version of the scale, consisting of items without differential item functioning by sex was developed. This shorter scale also was tested from a Rasch perspective and confirmed through CFA. All measures showed differences on total scale scores between those participants with and without ASC (d = 0.71, p < .005), and between sexes (d = 0.53, p < .005). We conclude that the SQ-R is an appropriate measure of systemizing which can be measured along a single dimension.

scholarly journals A Rasch-Validated Version of the Upper Extremity Functional Index for Interval-Level Measurement of Upper Extremity Function

2013 ◽  
Vol 93 (11) ◽  
pp. 1507-1519 ◽  
Author(s):  
Clayon B. Hamilton ◽  
Bert M. Chesworth
Keyword(s):  
Differential Item Functioning ◽  
Upper Extremity ◽  
Rasch Model ◽  
Rasch Analysis ◽  
Measurement Properties ◽  
Functional Index ◽  
Extremity Function ◽  
Item Functioning ◽  
Upper Extremity Function ◽  
The Rasch Model

Background The original 20-item Upper Extremity Functional Index (UEFI) has not undergone Rasch validation. Objective The purpose of this study was to determine whether Rasch analysis supports the UEFI as a measure of a single construct (ie, upper extremity function) and whether a Rasch-validated UEFI has adequate reproducibility for individual-level patient evaluation. Design This was a secondary analysis of data from a repeated-measures study designed to evaluate the measurement properties of the UEFI over a 3-week period. Methods Patients (n=239) with musculoskeletal upper extremity disorders were recruited from 17 physical therapy clinics across 4 Canadian provinces. Rasch analysis of the UEFI measurement properties was performed. If the UEFI did not fit the Rasch model, misfitting patients were deleted, items with poor response structure were corrected, and misfitting items and redundant items were deleted. The impact of differential item functioning on the ability estimate of patients was investigated. Results A 15-item modified UEFI was derived to achieve fit to the Rasch model where the total score was supported as a measure of upper extremity function only. The resultant UEFI-15 interval-level scale (0–100, worst to best state) demonstrated excellent internal consistency (person separation index=0.94) and test-retest reliability (intraclass correlation coefficient [2,1]=.95). The minimal detectable change at the 90% confidence interval was 8.1. Limitations Patients who were ambidextrous or bilaterally affected were excluded to allow for the analysis of differential item functioning due to limb involvement and arm dominance. Conclusion Rasch analysis did not support the validity of the 20-item UEFI. However, the UEFI-15 was a valid and reliable interval-level measure of a single dimension: upper extremity function. Rasch analysis supports using the UEFI-15 in physical therapist practice to quantify upper extremity function in patients with musculoskeletal disorders of the upper extremity.

Psychometric properties of the Motivation for Solitude Scale–Short Form in a sample of South African adolescents

2017 ◽  
Vol 49 (1) ◽  
pp. 14-26
Author(s):  
Esmarilda S Dankaert ◽  
Tharina Guse ◽  
Casper JJ van Zyl
Keyword(s):  
Psychometric Properties ◽  
South African ◽  
Internal Consistency ◽  
Discriminant Validity ◽  
Short Form ◽  
Well Being ◽  
Convergent And Discriminant Validity ◽  
Confirmatory Factor ◽  
Best Fit

With expanding interest in the role of solitude in healthy psychological development during adolescence, there is a need for psychometrically sound solitude measures. The aim of this study was to examine the psychometric properties of the Motivation for Solitude Scale–Short Form by evaluating its internal consistency, factor structure, and convergent and discriminant validity using a group of South African adolescents ( n = 818). Results revealed satisfactory internal consistency for each of the two subscales, as well as good convergent and discriminant validity. Confirmatory factor analysis supported a two-factor higher order model as providing the best fit. The Motivation for Solitude Scale–Short Form seems to be a valid measure of motivation for solitude among South African adolescents and provides an avenue for further research on the role of solitude in adolescent well-being.

scholarly journals The Extended Barthel Index (EBI) can Be Reported as a Unidimensional Interval-Scaled Metric – A Psychometric Study

2019 ◽  
Vol 29 (04) ◽  
pp. 224-232 ◽  
Author(s):  
Roxanne Maritz ◽  
Alan Tennant ◽  
Carolina Saskia Fellinghauer ◽  
Gerold Stucki ◽  
Birgit Prodinger ◽  
...  
Keyword(s):  
Rasch Model ◽  
Barthel Index ◽  
Rasch Analysis ◽  
Scale Transformation ◽  
Interval Scale ◽  
Psychometric Study ◽  
Calibration Sample ◽  
Sum Score ◽  
The Rasch Model ◽  
Musculoskeletal Rehabilitation

Abstract Background The Extended Barthel Index (EBI), consisting of the original Barthel Index plus 6 cognitive items, provides a tool to monitor patients’ outcomes in rehabilitation. Whether the EBI provides a unidimensional metric, thus can be reported as a valid sum-score, remains to be examined. Objective To examine whether the EBI can be reported as unidimensional interval-scaled metric for neurological and musculoskeletal rehabilitation. Methods Rasch analysis of a calibration sample of 800 cases from neurological or musculoskeletal rehabilitation in 2016 in Switzerland. Results In the baseline analysis no fit to the Rasch Model was achieved. When accommodating local dependencies with a testlet approach satisfactory fit to the Rasch Model was achieved, and an interval scale transformation table was created. Conclusion The results support the reporting of adapted EBI total scores for both rehabilitation groups by applying the interval scaled transformation table presented in this study.

Examination of the Psychometric Properties of the Revised Children’s Manifest Anxiety Scale–Second Edition Scores Among Chinese Secondary School Students

2017 ◽  
Vol 36 (7) ◽  
pp. 725-735
Author(s):  
Qingqing Zhu ◽  
Patricia A. Lowe
Keyword(s):  
Psychometric Properties ◽  
Factor Model ◽  
Anxiety Scale ◽  
Model Fit ◽  
School Students ◽  
Confirmatory Factor Analyses ◽  
Adequate Model ◽  
Confirmatory Factor ◽  
Scale Scores ◽  
Manifest Anxiety

The purpose of this study was to adapt the Revised Children’s Manifest Anxiety Scale–Second Edition (RCMAS-2) into Mandarin and to examine its psychometric properties among Chinese adolescents. The participants included 436 Chinese students in Grades 7 to 12 who were administered the Chinese version of the Revised Children’s Manifest Anxiety Scale (RCMAS-2-C). Confirmatory factor analyses (CFAs) were performed to examine the factor structure of the RCMAS-2-C. Results indicated a modified four-factor model (Worry and Social Anxiety factors combined, Physiological Anxiety, Defensiveness I, and Defensiveness II factors) provided an adequate model fit to the data. Categorical omegas were computed and ranged from .68 to .90 for the RCMAS-2 scale scores. Convergent evidence of validity for the RCMAS-2-C anxiety scores was also found. Implications of the findings of the study for clinicians and researchers are discussed.

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