The Development of Chinese Version of Transcultural Nursing Self-Efficiency Scale: Using Rasch Model Analysis

2020 ◽  
Vol 32 (1) ◽  
pp. 30-40
Author(s):  
Yi Tian ◽  
Li Wang ◽  
Yan Xu ◽  
Zhuang He
Keyword(s):  
Nursing Student ◽  
Rating Scale ◽  
Item Analysis ◽  
Classical Test Theory ◽  
Analytical Framework ◽  
Chinese Version ◽  
Test Theory ◽  
Scale Model ◽  
Transcultural Nursing ◽  
Rating Scale Model

Introduction: With the huge advances of globalization and urbanization, the nursing services in China are meeting the challenge of varied culture-specific needs in practices. Tools to measure transcultural sensitivity thus has great value in promoting transcultural nursing practices. Method: The Chinese version of Transcultural Nursing Self-Efficacy Scale (TSET-CV) was translated and validated with a sample of 2,346 nurses in China. Utilizing the analytical framework of the rating scale model, each item of the three subscales, namely the cognitive, practical, and effect subscale, was analyzed in terms of item analysis, item fitting, difficulty, reliability, item function, and validity. Results: The analysis suggested that 5-point Likert-type scale was more suitable than the 10-point Likert-type scale originally used. Item 27 and Item 79 showed deficient properties, which was deleted in the TSET-CV. The most accurate ranges measured by the TSET-CV matched the range of the distribution of the subjects’ ability. Discussion: Unlike the classical test theory, the rating scale model based on the Rasch’s model can provide sample-independent psychometric properties of items. The revised TSET-CV has great potential in diagnosing deficiency among nursing student in transcultural self-efficiency, which can promote the development of corresponding education strategies.

scholarly journals Defining statistical measurement levels of Intuitive Eating with the Rasch Rating Scale Model

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Hanis Gani ◽  
Peter Ho ◽  
Caroline Orfila
Keyword(s):  
Factor Analysis ◽  
Rating Scale ◽  
Test Theory ◽  
Composite Score ◽  
Scale Model ◽  
Intuitive Eating ◽  
Rasch Rating Scale Model ◽  
Significant Difference ◽  
The Relationship ◽  
Rating Scale Model

AbstractIntuitive eating is an intrinsic ability to moderate the amount and type of food, promoting a healthy diet and self-regulation of one's own weight. Different instruments (IES-H, IES-T, IES-2) have been developed to assess intuitive eating between different population groups from different countries. The construct validity and invariance of the 23-item Intuitive Eating Scale-2 (IES-2) has been widely validated by Confirmatory Factor Analysis and Exploratory Factor Analysis. However, these Classical Test Theory (CTT) methods have not always confirmed the same 4-factor structure.Rasch analysis, a Modern Test Theory method (MTT), has been used as an alternative approach to examine the psychometric properties of various health and medical instrument (HADS, KIDSCREEN-52, LANSS, MHRM). One significant difference between CTT and MT is the method of calculating a composite score. A CTT total sore is based on the summation of raw categorical scores, whereas these raw categorical scores are converted to interval-scaled measures into a Rasch composite score.Data was collected from 625 respondents was fitted to the Rasch Rating Scale Model. The data fitted the model adequately, as less than 5% and 1% of absolute standardised residuals were found to be ≥ 2 and ≥ 3, respectively. A Principle Component Analysis of Rasch residuals (PCAR) was used to determine the unidimensionality of the IES-2 and its subscales, after checking and adjusting for lack of item fit and proper rating scale functioning. PCAR indicated that all 23 items could not function as a single total unidimensional Rasch measure. However, the same item structure for the 4 subscales, originally proposed by Tylka and Kroon Van Diest, was confirmed by PCAR. The relationship between the respondents and the IES-2 items in each subscale could be explained using a Wright map, allowing both to be represented on the same logit scale.Statistical different levels of intuitive eating were determined for each subscale from a table representing the relationship between the lowest and highest possible raw scores and their Rasch measures. Wright maps showed the position of respondents between cut-off lines indicating different statistical levels along each unidimensional subscale of intuitive eating. The majority of respondents were classified into 2 out of 4 levels in the subscale Unconditional Permission to Eat, 3 out of 5 levels in Eating for Physical Rather Than Emotional Reasons, 3 out of 5 levels in Reliance on Internal Hunger and Satiety Cues and 2 out of 4 levels in Body-Food Choice Congruence.

Evaluation Properties of the Chinese Version of the Caring Factor Survey-Caring of Manager According to Classical Test Theory and Item Response Theory

2019 ◽  
Vol 23 (4) ◽  
pp. 275-283
Author(s):  
Ling Wang ◽  
John W. Nelson
Keyword(s):  
Item Response Theory ◽  
Psychometric Properties ◽  
Item Response ◽  
Rating Scale ◽  
Item Difficulty ◽  
Classical Test Theory ◽  
Chinese Version ◽  
Test Theory ◽  
Response Theory ◽  
Classical Test

The aim of the study is to evaluate psychometric properties of the Chinese version of Caring Factor Survey-Caring of Manager (CFS-CM), which evaluated by using with classical test theory (CTT) and item response theory (IRT). CTT analyses evaluate include internal consistence reliability, test–retest reliability and construct validity. IRT analyses were conducted to test the unidimensionality, item fit, item difficulty, the reliability, and rating scale analysis. CTT showed good psychometric properties of the CFS-CM. However, IRT revealed some problems of category level. Taking the above issue into consideration, it could be beneficial to perfect the CFS-CM in the future.

scholarly journals Development of the Paranormal and Supernatural Beliefs Scale using classical and modern test theory

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Charlotte E. Dean ◽  
Shazia Akhtar ◽  
Tim M. Gale ◽  
Karen Irvine ◽  
Richard Wiseman ◽  
...  
Keyword(s):  
Rating Scale ◽  
Classical Test Theory ◽  
Test Theory ◽  
Scale Model ◽  
Internal Reliability ◽  
Classical Test ◽  
Classic Test Theory ◽  
Differential Item Functioning Analysis ◽  
Supernatural Beliefs ◽  
Test Retest Reliability

Abstract Background This study describes the construction and validation of a new scale for measuring belief in paranormal phenomena. The work aims to address psychometric and conceptual shortcomings associated with existing measures of paranormal belief. The study also compares the use of classic test theory and modern test theory as methods for scale development. Method We combined novel items and amended items taken from existing scales, to produce an initial corpus of 29 items. Two hundred and thirty-one adult participants rated their level of agreement with each item using a seven-point Likert scale. Results Classical test theory methods (including exploratory factor analysis and principal components analysis) reduced the scale to 14 items and one overarching factor: Supernatural Beliefs. The factor demonstrated high internal reliability, with an excellent test–retest reliability for the total scale. Modern test theory methods (Rasch analysis using a rating scale model) reduced the scale to 13 items with a four-point response format. The Rasch scale was found to be most effective at differentiating between individuals with moderate-high levels of paranormal beliefs, and differential item functioning analysis indicated that the Rasch scale represents a valid measure of belief in paranormal phenomena. Conclusions The scale developed using modern test theory is identified as the final scale as this model allowed for in-depth analyses and refinement of the scale that was not possible using classical test theory. Results support the psychometric reliability of this new scale for assessing belief in paranormal phenomena, particularly when differentiating between individuals with higher levels of belief.

Rasch Analysis of the Proactive Personality Scale

2021 ◽  
pp. 003329412110281
Author(s):  
Enoch Teye-Kwadjo ◽  
Gideon P. de Bruin
Keyword(s):  
Psychometric Properties ◽  
Rasch Analysis ◽  
Rating Scale ◽  
Classical Test Theory ◽  
Internal Consistency Reliability ◽  
Proactive Personality ◽  
Test Theory ◽  
Scale Model ◽  
Personality Scale ◽  
Good Internal Consistency

The Proactive Personality Scale (PPS) is used widely to measure proactive personality. Previous research has evaluated the psychometric properties of the 6-item PPS (hereafter called PPS-6) using classical test theory. There is a need to provide further validity evidence for the PPS-6 using modern test theory. This study evaluated the psychometric properties of the PPS-6 using Rasch analysis. A total of 429 participants completed the PPS-6. Rasch rating scale model (RSM) was used to analyse the data. RSM showed that the PPS-6 fitted the Rasch model well. RSM demonstrated that the PPS-6 functioned as a unidimensional measure with good internal consistency reliability. Items on the PPS-6 did not show any noticeable differential item functioning across gender. RSM showed that the response rating scale of the PPS-6 is suitable. Results suggest that the PPS-6 is a reliable measure for the assessment of proactive personality.

Using the Rating Scale Model to Examine the Psychometric Properties of the Self-Efficacy Scale for Driver Competence

2011 ◽  
Vol 27 (3) ◽  
pp. 164-170 ◽  
Author(s):  
Anna Sundström
Keyword(s):  
Psychometric Properties ◽  
Self Efficacy ◽  
Rating Scale ◽  
Measurement Precision ◽  
The Self ◽  
Test Theory ◽  
Self Report ◽  
Scale Model ◽  
Validity And Reliability ◽  
Two Samples

This study evaluated the psychometric properties of a self-report scale for assessing perceived driver competence, labeled the Self-Efficacy Scale for Driver Competence (SSDC), using item response theory analyses. Two samples of Swedish driving-license examinees (n = 795; n = 714) completed two versions of the SSDC that were parallel in content. Prior work, using classical test theory analyses, has provided support for the validity and reliability of scores from the SSDC. This study investigated the measurement precision, item hierarchy, and differential functioning for males and females of the items in the SSDC as well as how the rating scale functions. The results confirmed the previous findings; that the SSDC demonstrates sound psychometric properties. In addition, the findings showed that measurement precision could be increased by adding items that tap higher self-efficacy levels. Moreover, the rating scale can be improved by reducing the number of categories or by providing each category with a label.

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 Cross-cultural adaptation and psychometric properties of the Kessler Distress Scale (K10): an application of the rating scale model

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Evandro Morais Peixoto ◽  
Daniela Sacramento Zanini ◽  
Josemberg Moura de Andrade
Keyword(s):  
Psychological Distress ◽  
Psychometric Properties ◽  
Rating Scale ◽  
Self Report ◽  
Clinical Population ◽  
Scale Model ◽  
General Factor ◽  
Measurement Models ◽  
Distress Scale ◽  
Rating Scale Model

Abstract Background The Kessler Distress Scale (K10) is a self-report scale for the assessment of non-specific psychological distress in the general and clinical population. Because of its ease of application and good psychometric properties, the K10 has been adapted to several cultures. The present study seeks to adapt the K10 to Brazilian Portuguese and estimate its validity evidence and reliability. Methods A total of 1914 individuals from the general population participated in the study (age = 34.88, SD = 13.61, 77.7% female). The adjustment indices were compared among three different measurement models proposed for the K10 through confirmatory factor analysis (CFA). The items’ properties were analyzed by Andrich’s Rating Scale Model (RSM). Furthermore, evidence based on relations to other variables (depression, stress, anxiety, positive and negative affects, and satisfaction with life) was estimated. Results CFA indicated the adequacy of the bifactor model (CFI= 0.985; TLI= 0.973; SMR= 0.019; RMSEA= 0.050), composed of two specific factors (depression and anxiety) and one general factor (psychological distress), corresponding to the theoretical hypothesis. Additionally, it was observed multiple-group invariance by gender and age range. The RSM provided an understanding of the organization of the continuum represented by the psychological distress construct (items difficulty), which varied from −0.89 to 1.00; good adjustment indexes; infit between 0.67 and 1.32; outfit between 0.68 and 1.34; and desirable reliability, α= 0.87. Lastly, theoretically coherent associations with the external variables were observed. Conclusions It is concluded that the Brazilian version of the K10 is a suitable measure of psychological distress for the Brazilian population.

scholarly journals An item analysis according to the Rasch model of the German 12-item WHO Disability Assessment Schedule (WHODAS 2.0)

2021 ◽  
Author(s):  
Lusine Vaganian ◽  
Sonja Bussmann ◽  
Maren Boecker ◽  
Michael Kusch ◽  
Hildegard Labouvie ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Rasch Model ◽  
Item Analysis ◽  
Classical Test Theory ◽  
Health Condition ◽  
Test Theory ◽  
World Health ◽  
Good Reliability ◽  
Whodas 2.0 ◽  
The Rasch Model

Abstract Purpose The World Health Organization Disability Assessent Schedule 2.0 (WHODAS 2.0) assesses disability in individuals irrespective of their health condition. Previous studies validated the usefulness of the WHODAS 2.0 using classical test theory. This study is the first investigating the psychometric properties of the 12-items WHODAS 2.0 in patients with cancer using item analysis according to the Rasch model. Methods In total, 350 cancer patients participated in the study. Rasch analysis of the 12-items version of the WHODAS 2.0 was conducted and included testing unidimensionality, local independence, and testing for differential item functioning (DIF) with regard to age, gender, type of cancer, presence of metastases, psycho-oncological support, and duration of disease. Results After accounting for local dependence, which was mainly found across items of the same WHODAS domain, satisfactory overall fit to the Rasch model was established (χ2 = 36.14, p = 0.07) with good reliability (PSI = 0.82) and unidimensionality of the scale. DIF was found for gender (testlet ‘Life activities’) and age (testlet ‘Getting around/Self-care’), but the size of DIF was not substantial. Conclusion Overall, the analysis results according to the Rasch model support the use of the WHODAS 2.0 12-item version as a measure of disability in cancer patients.

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