scholarly journals Rasch analysis for development and reduction of Symptom Questionnaire for Visual Dysfunctions (SQVD)

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mario Cantó-Cerdán ◽  
Pilar Cacho-Martínez ◽  
Francisco Lara-Lacárcel ◽  
Ángel García-Muñoz
Keyword(s):  
Rasch Model ◽  
Rasch Analysis ◽  
Rating Scale ◽  
Scale Model ◽  
Local Dependency ◽  
Visual Symptoms ◽  
Symptom Questionnaire ◽  
Item Functioning ◽  
Conversion Table ◽  
Valid Instrument

AbstractTo develop the Symptom Questionnaire for Visual Dysfunctions (SQVD) and to perform a psychometric analysis using Rasch method to obtain an instrument which allows to detect the presence and frequency of visual symptoms related to any visual dysfunction. A pilot version of 33 items was carried out on a sample of 125 patients from an optometric clinic. Rasch model (using Andrich Rating Scale Model) was applied to investigate the category probability curves and Andrich thresholds, infit and outfit mean square, local dependency using Yen’s Q3 statistic, Differential item functioning (DIF) for gender and presbyopia, person and item reliability, unidimensionality, targeting and ordinal to interval conversion table. Category probability curves suggested to collapse a response category. Rasch analysis reduced the questionnaire from 33 to 14 items. The final SQVD showed that 14 items fit to the model without local dependency and no significant DIF for gender and presbyopia. Person reliability was satisfactory (0.81). The first contrast of the residual was 1.908 eigenvalue, showing unidimensionality and targeting was − 1.59 logits. In general, the SQVD is a well-structured tool which shows that data adequately fit the Rasch model, with adequate psychometric properties, making it a reliable and valid instrument to measure visual symptoms.

An IRT Investigation of the Validity of Non-Patient Analogue Research Using the Beck Depression Inventory

1995 ◽  
Vol 11 (1) ◽  
pp. 14-20 ◽  
Author(s):  
Sean M. Hammond
Keyword(s):  
Differential Item Functioning ◽  
Beck Depression Inventory ◽  
Rating Scale ◽  
Latent Trait ◽  
Scale Model ◽  
Item Functioning ◽  
Two Samples ◽  
Patient Groups ◽  
Analogue Research ◽  
Rating Scale Model

This paper presents an IRT analysis of the Beck Depression Inventory which was carried out to assess the assumption of an underlying latent trait common to non-clinical and patient samples. A one parameter rating scale model was fitted to data drawn from a patient and non-patient sample. Findings suggest that while the BDI fits the model reasonably well for the two samples separately there is sufficient differential item functioning to raise serious duobts of the viability of using it analogously with patient and non-patient groups.

scholarly journals Validation of the Social Provision Scale with Indonesian Student Sample: A Rasch Model Approach

2020 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Tina Deviana ◽  
Bahrul Hayat ◽  
Bambang Suryadi
Keyword(s):  
Social Support ◽  
Rasch Model ◽  
Rating Scale ◽  
Scale Model ◽  
Future Research ◽  
Student Sample ◽  
Social Provision ◽  
The Social ◽  
Social Provision Scale ◽  
The Rasch Model

The condition of Indonesia is currently being faced by the corona virus (COVID-19) pandemic 2019. The importance of solutions related to the existence of the role of teachers or educators to provide references such as social support to students in learning and teaching activities from home, this study conducted to provide research tools or instruments that can be used by educators or researchers by testing the validity of a social support construct (Social Provision Scale) measuring instrument using the Rasch Model. Although much has been done to test the validity of the Social Provision Scale, no one has examined it by involving social support in the context of Education. Likewise, the majority of research on social support uses confirmatory factor analysis, and no one has used the Rasch Model in validating the Social Provision Scale instrument, especially in Indonesia. The data used are secondary data from Putra of 326 people in SMA Negeri 29 South Jakarta using cluster sampling. The results of the application of the Rasch Rating Scale model show that the psychometric characteristics of the Social Provision Scale are very good and precise, as well as the compatibility of the items to the model. Implications and suggestions for future research are also discussed.

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.

scholarly journals Validation of the Spanish adaptation of the School Atitude Assessment Survey-Revised using multidimensional Rasch analysis

2016 ◽  
Vol 33 (1) ◽  
pp. 74 ◽  
Author(s):  
Alejandro Veas ◽  
Juan Luis Castejón ◽  
Raquel Gilar ◽  
Pablo Miñano
Keyword(s):  
Rasch Model ◽  
Rasch Analysis ◽  
Rating Scale ◽  
Item Difficulty ◽  
Classical Test Theory ◽  
Latent Trait ◽  
Principal Component ◽  
Analysis Data ◽  
Test Theory ◽  
Assessment Survey

<p>The School Attitude Assessment Survey-Revised (SAAS-R) was developed by McCoach &amp; Siegle (2003b) and validated in Spain by Author (2014) using Classical Test Theory. The objective of the current research is to validate SAAS-R using multidimensional Rasch analysis. Data were collected from 1398 students attending different high schools. Principal Component Analysis supported the multidimensional SAAS-R. The item difficulty and person ability were calibrated along the same latent trait scale. 10 items were removed from the scale due to misfit with the Rasch model. Differential Item Functioning revealed no significant differences across gender for the remaining 25 items. The 7-category rating scale structure did not function well, and the subscale goal valuation obtained low reliability values. The multidimensional Rasch model supported 25 item-scale SAAS-R measures from five latent factors. Therefore, the advantages of multidimensional Rasch analysis are demonstrated in this study.</p>

A Validation of Servant Leadership Scale on Multinational Sample

2020 ◽  
pp. 003329412095724 ◽  
Author(s):  
Ahmet Gocen ◽  
Sedat Sen
Keyword(s):  
Public Schools ◽  
Servant Leadership ◽  
Rating Scale ◽  
Scale Model ◽  
Business Organizations ◽  
Related Data ◽  
Item Fit ◽  
Item Functioning ◽  
The One ◽  
Item Item

Servant leadership has been gaining attention from all types of organizations, whether it be business organizations or public schools. With the increase of studies on the servanthood characteristics of organizational leaders, various scales of servant leadership were used to examine servant leadership behaviors, perceptions, and attitudes in different organizations. In line with the increasing interest on servant leadership, the purpose of the study was aimed at characterizing the Servant Leadership (SL) scale psychometrically through Confirmatory Factor Analysis (CFA) and Rasch analysis. The related data were collected from 461 teachers across several countries. The one-factor structure of the SL was confirmed in CFA along with the Rasch Rating Scale model, with the analyses of rating scale diagnosis, item fit assessment, reliability, unidimensionality, local independence, and differential item functioning (DIF). High person separation and reliability statistics supported the consistency of the SL scores. Only one item (Item 7) did not fit the Rasch model, and another item (Item 1) showed DIF to be in favor of females. Overall CFA and the Rasch models provided enough evidence for the seven-item SL scale.

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 Differential Item Functioning in Students Rating of Teaching Effectiveness Surveys in Higher Education According to Academic Disciplines: Data from a Saudi University

2017 ◽  
Vol 11 (4) ◽  
pp. 770
Author(s):  
Mahmoud AlQuraan ◽  
Ahmed AL Kuwaiti
Keyword(s):  
Higher Education ◽  
Differential Item Functioning ◽  
Teaching Effectiveness ◽  
Rating Scale ◽  
Academic Discipline ◽  
Teaching Quality ◽  
Academic Disciplines ◽  
Scale Model ◽  
Item Functioning ◽  
Teaching In Higher Education

This study explored academic discipline as a source of differential item functioning(DIF) in students’ rating of teaching quality and effectiveness at higher education institutions. Data utilized in this study was collected by Imam Abudalruman Bin Faisal University - KSA. The total number of surveys analyzed for the purpose of this study is 36459 from three colleges: Education, Health, and Engineering. Using Extended Rasch model (Rating Scale Model), the results show that the instrument contains four DIF items. The content of these four items confirm the possibility of considering discipline as a source of DIF items in students evaluation of teaching in higher education. Moreover, the results of the current study show that removing DIF items from the instrument increases construct validity.

scholarly journals The Rasch-rating scale model to identify learning difficulties of physics students based on self-regulation skills

2019 ◽  
Vol 8 (4) ◽  
pp. 659
Author(s):  
Habibi Habibi ◽  
Jumadi Jumadi ◽  
Mundilarto Mundilarto
Keyword(s):  
Rasch Model ◽  
Teacher Candidates ◽  
Rating Scales ◽  
Rating Scale ◽  
Learning Strategy ◽  
Self Regulation ◽  
Learning Difficulties ◽  
Scale Model ◽  
Physics Students ◽  
Physics Teacher

<span>This study applies the unidimensional Rasch Model assumptions in identifying physics learning difficulties based on students' self-regulation abilities. A total of 126 physics teacher candidates have been observed for one semester. Self-project as a learning strategy has been used. Data were collected using 20 items in rating scales and then analyzed quantitatively to get feasibility in measuring self-regulation skills. The results have shown that the profile items analyzed by the Rasch Model are feasible to measure self-regulation skills through a self-sustaining project strategy. Most physics teacher candidates have a medium ability of 51% in the process of self-regulation, high = 33%, and low = 16%. The implications of applying self-projects to the processes of self-regulation are discussed in this article.</span>

scholarly journals Investigating Psychometric Properties of the Arm Activity Measure – Thai Version (ArmA-TH) Sub-Scales Using the Rasch Model

2020 ◽  
Author(s):  
Montana Buntragulpoontawee ◽  
Jeeranan Khunachiva ◽  
Patreeya Euawongyarti ◽  
Nahathai Wongpakaran ◽  
Tinakon Wongpakaran ◽  
...  
Keyword(s):  
Rasch Model ◽  
Rasch Analysis ◽  
Measurement Properties ◽  
Brain Disorders ◽  
Local Independence ◽  
Fit Statistics ◽  
Active Function ◽  
Item Functioning ◽  
The Rasch Model ◽  
Activity Measure

Abstract Background: This study investigated the ArmA-TH measurement properties based on item response theory, using the Rasch model. Methods: Patients with upper limb hemiplegia resulting from cerebrovascular and other brain disorders were asked to completed the ArmA-TH questionnaire. Rasch analysis was performed to test how well the ArmA-TH passive and active function sub-scales fit the Rasch model by investigating unidimensionality, response category functioning, reliability of the person and item, and differential item functioning (DIF) for age, sex and education. Results: Participants had stroke or other acquired brain injury (n=185) and the majority were men 126(68.1%), with a mean age of 55(SD 22). Most patients 91(49.2%) graduated elementary/primary school. For the ArmA-TH passive function scale, all items had acceptable fit statistics. The scale’s unidimensionality, and local independence were supported. The reliability was acceptable. Disordered threshold was found in five items, none was DIF. For the ArmA-TH active function scale, one item was misfitting and three were locally dependent. The reliability was good. DIF was not found. All items had disordered thresholds, and data fitted the Rasch model better after rescoring.Conclusions: Both sub-scales of ArmA-TH fitted the Rasch model, and are valid and reliable. The disordered thresholds should be further investigated.

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