Cognitive Screening Scale for Schizophrenia (CSSS): The Development and the Structure of the Scale

2017 ◽  
Vol 41 (S1) ◽  
pp. S99-S100
Author(s):  
A. Szulc ◽  
J. Gierus ◽  
T. Koweszko ◽  
A. Mosiolek
Keyword(s):  
Item Response ◽  
Internal Consistency ◽  
Cognitive Deficits ◽  
Healthy Subjects ◽  
Cognitive Screening ◽  
Theory Analysis ◽  
Item Response Theory Analysis ◽  
Confirmatory Factor ◽  
Competing Interest ◽  
Screening Scale

ObjectivesThe study presents the construction of CSSS: a short screening scale intended for diagnosis of cognitive deficits among people with schizophrenia. The final version of the scale consist of 6 subscales which measure basic cognitive functions.MethodsA total of 160 persons (124 with schizophrenia and 36 healthy controls) were tested using the initial version of the CSSS scale consisting of 11 subscales. Correlation analysis between the subscale results was carried out, as well as confirmatory factor analysis, internal consistency analysis of the scale, IRT (item response theory) analysis of the item's difficulty, and analysis of the scale's accuracy as a classifier.ResultsOne factor explains 37% of the variance of the subscales’ results. The scale has satisfactory internal consistency (0,83). Subjects with schizophrenia achieved significantly lower scores than healthy subjects. The area under the ROC curve (AUC) for discriminating between subjects with schizophrenia and healthy subjects was 0.83. Cut point of 16 raw points is 86% sensitive and has 70% specificity.ConclusionsThe form of the tool that has been achieved as a result of presented analyses suggests that this scale has a potential to fulfill the assumed goals, which will be tested during continuing validation studies.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals Development of primary care assessment tool–adult version in Tibet: implication for low- and middle-income countries

2019 ◽  
Vol 20 ◽  
Author(s):  
Wenhua Wang ◽  
Jeannie Haggerty
Keyword(s):  
Primary Care ◽  
Item Response ◽  
Assessment Tool ◽  
Theory Analysis ◽  
Response Options ◽  
Care Experience ◽  
Item Response Theory Analysis ◽  
Care Assessment ◽  
Confirmatory Factor ◽  
Primary Care Assessment Tool

Abstract Aim: To conduct advanced psychometric analysis of Primary Care Assessment Tool (PCAT) in Tibet and identify avenues for metric performance improvement. Background: Measuring progress toward high-performing primary health care can contribute to the achievement of sustainable development goals. The adult version of PCAT is an instrument for measuring patient experience, with key elements of primary care. It has been extensively used and validated internationally. However, only little information is available regarding its psychometric properties obtained based on advanced analysis. Methods: We used data collected from 1386 primary care users in two prefectures in Tibet. First, iterative confirmatory factor analysis examined the fit of the primary care construct in the original tool. Then item response theory analysis evaluated how well the questions and individual response options perform at different levels of patient experience. Finally, multiple logistic regression modeling examined the predicative validity of primary care domains against patient satisfaction. Findings: A best final structure for the PCAT-Tibetan includes 7 domains and 27 items. Confirmatory factor analysis suggests good fit for a unidimensional model for items within each domain but doesn’t support a unidimensional model for the entire instrument with all domains. Non-parametric and parametric item response theory analysis models show that for most items, the favorable response option (4 = definitely) is overwhelmingly endorsed, the discriminability parameter is over 1, and the difficulty parameters are all negative, suggesting that the items are most sensitive and specific for patients with poor primary care experience. Ongoing care is the strongest predictor of patient satisfaction. These findings suggest the need for some principles in adapting the tool to different health system contexts, more items measuring excellent primary care experience, and update of the four-point response options.

scholarly journals Evidence of validity and reliability of the adaptive functioning scale for intellectual disability (EFA-DI)

2020 ◽  
Vol 33 (1) ◽  
Author(s):  
Thais Selau ◽  
Mônia Aparecida da Silva ◽  
Euclides José de Mendonça Filho ◽  
Denise Ruschel Bandeira
Keyword(s):  
Intellectual Disability ◽  
Adaptive Functioning ◽  
Validity And Reliability ◽  
Theory Analysis ◽  
International Context ◽  
Systematic Assessment ◽  
Diagnostic And Statistical Manual ◽  
Item Response Theory Analysis ◽  
New Instrument ◽  
Confirmatory Factor

Abstract Intellectual disability (ID) is a developmental disorder characterized by deficits in intellectual functioning and adaptive behavior. The fifth edition of the Diagnostic and statistical manual of mental disorders (DSM-5) defines adaptive functioning as a severity measure of ID. The availability of tests in the international context to assess this construct has increased in recent years. In Brazil, however, non-systematic assessment of adaptive functioning, such as through observation and interviews, still predominates. The Escala de Funcionamento Adaptativo para Deficiência Intelectual EFA-DI [Adaptive Functioning Scale for Intellectual Disabilities] is a new instrument developed in Brazil to assess the adaptive functioning of 7- to 15-year-old children and support the diagnosis of ID. This study’s objectives were to investigate evidence of validity related to the EFA-DI’s internal structure, criterion validity, and reliability. The psychometric analyses involved two statistical modeling types, confirmatory factor analysis (CFA) and item response theory analysis (IRT). These results highlight the EFA-DI scale’s strong psychometric properties and support its use as a parental report measure of young children’s adaptive functioning. Future studies will be conducted to develop norms of interpretation for the EFA-DI. This study is expected to contribute to the fields of psychological assessment and child development in Brazil.

Introduction to bifactor polytomous item response theory analysis

2017 ◽  
Vol 60 ◽  
pp. 41-63 ◽  
Author(s):  
Michael D. Toland ◽  
Isabella Sulis ◽  
Francesca Giambona ◽  
Mariano Porcu ◽  
Jonathan M. Campbell
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Response Theory ◽  
Theory Analysis ◽  
Polytomous Item ◽  
Item Response Theory Analysis ◽  
Polytomous Item Response Theory ◽  
Polytomous Item Response
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