scholarly journals The Factor Structure and Rasch Analysis of the Fear of COVID-19 Scale (FCV-19S) Among Chinese Students

2021 ◽  
Vol 12 ◽  
Author(s):  
Wei Chen ◽  
Yuxin Liang ◽  
Xingyu Yin ◽  
Xingrong Zhou ◽  
Rongfen Gao
Keyword(s):  
Rasch Analysis ◽  
Chinese Students ◽  
Principal Component ◽  
Model Fit ◽  
Good Reliability ◽  
One Dimensional ◽  
Ego Resilience ◽  
Item Functioning ◽  
Point Measure ◽  
Unidimensional Structure

The Fear of COVID-19 Scale (FCV-19S) is a new one-dimensional scale used to measure fear of an individual about the COVID-19. Given the seriousness of the COVID-19 situation in China when our study was taking place, our aim was to translate and examine the applicability of the FCV-19S in Chinese students. The sample used for validation comprised 2,445 Chinese students. The psychometrical characteristics of the Chinese FCV-19S (FCV-19S-C) were tested using Rasch analysis. Principal component analysis (PCA) proved the unidimensional structure of the model. Both infit and outfit mean square (MNSQ) values (0.69–1.31) and point-measure correlations (0.82–0.86) indicated a good model fit. Person-item separation and reliability values indicated good reliability of the scale. The person-item map revealed an acceptable level of match between the persons and the items. Differential item functioning of the FCV-19S-C showed no differences with respect to age or gender. FCV-19S-C scores were significantly associated with anxiety, stress, depression, ego-resilience, and general health. The FCV-19S-C was proven to be effective in measuring fear of Chinese students about the COVID-19.

scholarly journals Psychometric Analysis of the Professional Identity Questionnaires in Croatian Nursing Student Context

2021 ◽  
Vol 7 ◽  
pp. 237796082110446
Author(s):  
Ivana Gusar ◽  
Andrea Tokić ◽  
Robert Lovrić
Keyword(s):  
Nursing Students ◽  
Professional Identity ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Principal Component ◽  
Model Fit ◽  
Second Phase ◽  
Two Phase ◽  
Good Reliability ◽  
Cross Sectional

Introduction: The identification of nursing students with their profession, as well as gained professional competencies, are the crucial factors of the quality of their future work activities and the level of safety of the patient they are taking care of. Therefore, it is of utter importance to estimate the nursing students’ professional identity during their education. Objectives: The purpose of this study was to translate Professional Identity Five-Factor Scale and Identity questionnaire, to test their psychometric properties in Croatian practice and to identify more suitable instrument of measuring the level of nursing students' professional identity in Croatian context. Methods: Quantitative, cross-sectional two-phase study was performed. In the first phase translated questionnaires were administered to a sample of 432 nursing students. Based on the confirmatory factor analysis (CFA), which revealed poor model fit, the principal component analysis was conducted. In the second phase, CFA was used to test the Croatian version of the instruments' factor structure on a sample of 222 students with different study orientations. Results: The CFA results, conducted in first phase, do not support the original version of the factor structures of the Professional Identity Five-Factor Scale and Identity models. The exploratory approach showed that the translated Professional Identity Five-Factor Scale had three factors with good psychometric properties explaining 49.35% of the variance. Translated Identity questionnaire had a two-factor structure (63.46% explained variance) with good reliability properties. In the second phase, on another heterogeneous sample of students, the described factor structure was found to have a good model fit obtained by CFA. Conclusions: According to the findings, Professional Identity Five-Factor is more appropriate for evaluating professional identity of nursing students, and Identity is probably better suited to measure professional identity among working professionals.

scholarly journals Validation of Persian Translation of the Intercultural Sensitivity Scale Using Rasch Model

2020 ◽  
Vol 7 (3) ◽  
pp. 63
Author(s):  
Elahe Moradi
Keyword(s):  
Intercultural Sensitivity ◽  
Principal Component ◽  
Model Fit ◽  
Standardized Residuals ◽  
Item Functioning ◽  
Improve Model ◽  
Undergraduate University Students ◽  
Negative Wording ◽  
Gender Differential ◽  
Positive Content

This study subjected the Intercultural Sensitivity scale consisting of 24 items to Rasch analysis in a sample of 200 participants. The scale was translated into Persian and administered to graduate and undergraduate university students. Analysis of data showed that there were no misfitting items. Furthermore, no item manifested gender differential item functioning (DIF). All the thresholds were ordered and respondents could distinguish well between categories of the scale. The results of principal component analysis (PCA) of standardized residuals revealed that there were two contrasts with eigenvalues above two.  Deleting positively and negatively loading items separately did not improve model fit. Thus, the content of items was investigated and it became clear that most of the positively loading items covered those items which have negative content and conversely, negatively loading items encompassed the items which have positive content. This brings about two psychometric dimensions in this scale. 1) Wording of the items revealed that the existence of items with negative wording in the scale results in statistical artifacts, and 2) The secondary dimension here could be interpreted to be an artifact of the wording. It was concluded that the scale is unidimensional and enjoys acceptable psychometric properties.

scholarly journals Rasch analysis of the Brain Injury Screening Tool (BIST) in mild traumatic brain injury

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nusratnaaz Shaikh ◽  
Alice Theadom ◽  
Richard Siegert ◽  
Natalie Hardaker ◽  
Doug King ◽  
...  
Keyword(s):  
Brain Injury ◽  
Rasch Analysis ◽  
Screening Tool ◽  
Symptom Burden ◽  
Person Separation Index ◽  
Symptom Scale ◽  
Good Reliability ◽  
Item Functioning ◽  
Injury Screening ◽  
The Brain

Abstract Objective To evaluate the psychometric properties of the Brain Injury Screening Tool (BIST) symptom scale in a sample of people with a mild Traumatic Brain Injury (mTBI) through Rasch analysis, and to obtain an interval level measurement score for potential clinical use. Materials and methods Data were obtained from 114 adults aged over 16 years, who had experienced at least one mTBI in the past 10 years. Participants were recruited via social media, concussion clinics and sports organisations over a 4-month period between May and September 2020. Participants were asked to compete the symptom scale of the BIST tool via an anonymous online questionnaire. Internal construct validity, dimensionality, person separation index, and differential item functioning of the BIST were examined with Rasch analysis. Results BIST in its original form produced a satisfactory item-trait interaction, and good reliability, but was found to be multi-dimensional. Rasch analysis of the full scale with three domains as subtests resulted in acceptable model fit (χ2(6) =3.8, p >  0.05), with good reliability (Person Separation Index = 0.84), and uni-dimensionality. Differential Item Functioning (DIF) analysis displayed no significant DIF effects for sex or age revealing that people responded consistently and similarly to the individual BIST items based on severity of symptom burden. Conclusions The 15-item symptom scale of the BIST tool is a psychometrically sound measure of symptom burden following mTBI. The findings provide support for use of both total and sub scale scores for clinical use. Ordinal to interval score conversions are recommended for use when using the scores for research purposes in mTBI.

scholarly journals A Strength-based Inventory for Assessing the Needs for Academic Advising of University Students in Hong Kong

2021 ◽  
Vol 41 (2) ◽  
pp. 53-67
Author(s):  
Andrew M. H. Siu ◽  
Chi-Wen Chien ◽  
Rhonda Y. S. Cheung ◽  
Daniel T. L. Shek
Keyword(s):  
Hong Kong ◽  
University Students ◽  
Academic Advising ◽  
Rasch Analysis ◽  
Principal Component ◽  
Academic Probation ◽  
Good Reliability ◽  
Appreciative Advising ◽  
Positive Identity ◽  
Strength Based

This study aims to develop and validate a strength-based instrument for assessing the academic advising needs of university students in Hong Kong using the Appreciative Advising Inventory (AAI) as a blueprint. We reviewed the content validity and cultural relevance of the AAI and developed a 37-item AAI Hong Kong Version (AAI-HK). We conducted Rasch analysis and principal component analysis. The AAI-HK has four stable and reliable factors (social competence and support; positive identity and participation; positive values; and commitment to learning and study), which represent key strengths of university students. Four AAI-HK subscales demonstrate good reliability. We found significant differences in AAI-HK scores between students who are under academic probation or not and between students who are local or nonlocal.

scholarly journals Psychometric Evaluation of The Romanian Version of The Irrational Procrastination Scale in a Military Student Population

2017 ◽  
Vol 23 (2) ◽  
pp. 318-323
Author(s):  
Crenguţa Mihaela Macovei
Keyword(s):  
Psychometric Evaluation ◽  
Principal Component ◽  
Global Scale ◽  
Factor H ◽  
General Measure ◽  
Good Reliability ◽  
One Dimensional ◽  
Two Factors ◽  
Opposite Behavior ◽  
Military Student

Abstract The present paper examines the psychometric properties of the Romanian version of the Irrational Procrastination Scale (IPS). The Principal Component Analysis for IPS revealed a two factors structure, but the second factor is loaded by an item that refers to postponing tasks and another item that actually expresses the opposite behavior. We therefore conclude that IPS is in fact a one-dimensional construct, as the author of the scale suggested. The IPS has good reliability. The correlation matrix indicated that the procrastination scale did correlate weakly with measures of selfefficiency and relf-regulation but it was higly correlated with factor H, factor O and global scale Q4 from Cattell’s 16 PF personality questionnaire. As a conclusion, the Romanian translation of the Irrational Procrastination Scale is a general measure of procrastination as irrational delay which can be successfully used in student populations.

Exploring the Multidimensional Facets of Authoritarianism: Authoritarian Aggression and Social Dominance Orientation

2008 ◽  
Vol 67 (1) ◽  
pp. 51-60 ◽  
Author(s):  
Stefano Passini
Keyword(s):  
Social Dominance ◽  
Factor Model ◽  
Three Dimensional ◽  
Social Dominance Orientation ◽  
Model Fit ◽  
Regression Analyses ◽  
One Dimensional ◽  
Confirmatory Factor ◽  
The One ◽  
Better Than

The relation between authoritarianism and social dominance orientation was analyzed, with authoritarianism measured using a three-dimensional scale. The implicit multidimensional structure (authoritarian submission, conventionalism, authoritarian aggression) of Altemeyer’s (1981, 1988) conceptualization of authoritarianism is inconsistent with its one-dimensional methodological operationalization. The dimensionality of authoritarianism was investigated using confirmatory factor analysis in a sample of 713 university students. As hypothesized, the three-factor model fit the data significantly better than the one-factor model. Regression analyses revealed that only authoritarian aggression was related to social dominance orientation. That is, only intolerance of deviance was related to high social dominance, whereas submissiveness was not.

Is That Measure Really One-Dimensional?

Methodology ◽  
2018 ◽  
Vol 14 (4) ◽  
pp. 188-196 ◽  
Author(s):  
Esther T. Beierl ◽  
Markus Bühner ◽  
Moritz Heene
Keyword(s):  
Model Fit ◽  
Nuisance Parameters ◽  
Factorial Validity ◽  
Fit Indices ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
One Dimensional ◽  
Confirmatory Factor Analysis Model ◽  
Cutoff Values ◽  
Confirmatory Factor

Abstract. Factorial validity is often assessed using confirmatory factor analysis. Model fit is commonly evaluated using the cutoff values for the fit indices proposed by Hu and Bentler (1999) . There is a body of research showing that those cutoff values cannot be generalized. Model fit does not only depend on the severity of misspecification, but also on nuisance parameters, which are independent of the misspecification. Using a simulation study, we demonstrate their influence on measures of model fit. We specified a severe misspecification, omitting a second factor, which signifies factorial invalidity. Measures of model fit showed only small misfit because nuisance parameters, magnitude of factor loadings and a balanced/imbalanced number of indicators per factor, also influenced the degree of misfit. Drawing from our results, we discuss challenges in the assessment of factorial validity.

scholarly journals The client satisfaction with device: a Rasch validation of the Arabic version in patients with upper and lower limb amputation

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Hadeel R. Bakhsh ◽  
Nilüfer Kablan ◽  
Walaa Alammar ◽  
Yaşar Tatar ◽  
Giorgio Ferriero
Keyword(s):  
Client Satisfaction ◽  
Item Difficulty ◽  
Principal Component ◽  
Limb Amputation ◽  
Convenience Sample ◽  
Reliability Indices ◽  
Arabic Speakers ◽  
Item Fit ◽  
Item Functioning ◽  
Local Item Dependency

Abstract Background The Client Satisfaction with Devices (CSD) module of the Orthotics and Prosthetics Users’ Survey is an extensively used questionnaire that measures patients’ satisfaction with orthosis and prosthesis. However, the validated version for Arabic speakers (CSD-Ar) is only applicable for orthosis users. Objectives The aim of this study was to evaluate the psychometric proprieties of the CSD-Ar for prosthetics users. Methods The study used a convenience sample of prosthesis users from Saudi Arabia and Turkey (N = 183), who completed the CSD-Ar. The collected data were analysed using Rasch analysis to evaluate item fit, reliability indices, item difficulty, local item dependency, and differential item functioning (DIF) using WINSTEPS version 4.6.1. Results Based on the analysis, the four-response Likert-scale was acceptable, as shown by the category functioning test, All eight items did achieve a fit to the Rasch Model [(infit) and (outfit) mean-square 0.75 to 1.3]. Person separation reliability was 0.76, and item separation reliability was 0.94. A principal component analysis (PCA) showed satisfactory unidimensionality and no local item dependency. The DIF analysis showed no notable dependency among items on participant characteristics in terms of age, gender, duration of use, country, and level of amputation. Conclusion This study contributes to the confidence of using CSD-Ar to evaluate users’ satisfaction with different prostheses, affirming the need for further refinement of the quality of the outcome measure.

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.

scholarly journals Development and Validation of the Yonsei Lifestyle Profile-Satisfaction (YLP-S) Using the Rasch Measurement Model

2021 ◽  
Vol 58 ◽  
pp. 004695802110176
Author(s):  
Kang-Hyun Park ◽  
Ickpyo Hong ◽  
Ji-Hyuk Park
Keyword(s):  
Older Adults ◽  
Rasch Analysis ◽  
Age Groups ◽  
Internal Validity ◽  
Measurement Model ◽  
Limited Evidence ◽  
Fit Statistics ◽  
Item Functioning ◽  
Development And Validation ◽  
The Rasch Model

Lifestyle plays an important role in determining health and vitality among older adults. However, there is limited evidence regarding lifestyle assessment. This study examined the psychometric properties of the Yonsei Lifestyle Profile-Satisfaction (YLP-S). The participants in the study included 156 older adults. Rasch analysis was used to test unidimensionality, fit statistics, and the precision of the YLP-S. The YLP-S demonstrated a unidimensional measurement construct, and 18 items fit the Rasch model. The YLP-S illustrated reasonable precision (person strata = 5.37). Only 4 items showed differential item functioning by sex or age groups. The findings indicate that the YLP-S demonstrated sound internal validity and can be used by health professionals to measure the multifaceted lifestyle of older adults.

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