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.

Construction and Psychometric Properties of a Short Form of the Personal Experiences Checklist

2019 ◽  
pp. 088626051987555
Author(s):  
Karoline Prinz ◽  
Daniel Costa ◽  
Elizabeth Chervonsky ◽  
Caroline Hunt
Keyword(s):  
Short Form ◽  
Theory Analysis ◽  
School Students ◽  
Discriminative Ability ◽  
General Index ◽  
Item Response Theory Analysis ◽  
Confirmatory Factor ◽  
Personal Experiences ◽  
Good Internal Consistency ◽  
Potential Alternative

Peer victimization is a significant problem concerning young people. However, there are few brief measures that cover the key domains of victimization, including cyber victimization. Therefore, the objective of the present study was to construct and validate a short form version of the Personal Experiences Checklist (PECK) to be able to measure victimization efficiently and effectively. The PECK was originally developed to measure a young person’s experience of victimization and provides scores for four subscales (relational-verbal, cyber, physical, and victimization in relation to culture) as well as a total score. A sample of N = 1,040 school students from Grades 4 to 9 (mean age = 12.2 years) derived from two studies was used to construct and cross-validate the structure of a Personal Experiences Checklist Short Form (PECK-SF) using confirmatory factor analysis and item response theory analysis. Based on discriminative ability and consideration of item content, 14 items were selected to form the PECK-SF, which demonstrated good internal consistency (Cronbach’s α = .83). Given the small number of items, the use of subscales is not advised. However the PECK-SF total scale represents a potential alternative to the long form of the PECK and provides a brief and general index of victimization.

scholarly journals Development and validation of a scale evaluating pregnant women's breastfeeding competency in third trimester: Breastfeeding Competency Scale(BCS)

2020 ◽  
Author(s):  
Yu Wu ◽  
Ying Wang ◽  
Jiazhen Hu ◽  
Yan Dang ◽  
Yuanyuan Zhang ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Pregnant Women ◽  
Exploratory Factor Analysis ◽  
Model Matching ◽  
Validity And Reliability ◽  
Third Trimester ◽  
Factor Analytic Model ◽  
Item Statistics ◽  
New Instrument ◽  
Confirmatory Factor

Abstract Background: Breastfeeding plays an important role in the early stages of humans and throughout the development process. Breastfeeding competency is a self-assessment of pregnant women's overall competency to breastfeeding which could predict behaviors of pregnant women’ breastfeeding. However, a valid and reliable scale to assess the breastfeeding competency has not yet been developed and validated. This study was designed to develop and validate an assessment scale designed to assess the pregnant women's breastfeeding competency in third trimester: Breastfeeding Competency Scale(BCS).Methods: The BCS was developed and validated over three phases between September 2018–September 2019 which include item statistics, exploratory factor analysis(EFA), content validation, internal consistency assessment, split-half reliability and confirmatory factor analysis.Results: Item statistics and exploratory factor analysis resulted in 38 items, 4 factors that explained 66.489% of total variance. The Cronbach’s α coefficient in total scale and 4 factors were 0.970, 0.960, 0.940, 0.822, 0.931 respectively. The split-half reliability of BCS was 0.894, 0.890. Confirmatory factor analytic model showed the 4-factor model matching the data well.Conclusions: The BCS was a new instrument with certain validity and reliability for assessing the breastfeeding competency of pregnant women in third trimester.

scholarly journals A CONFIRMATORY FACTOR ANALYSIS OF THE NEW MALAYSIAN INDEX OF ELDERLY WELL-BEING: A PRELIMINARY FINDINGS

2020 ◽  
Vol 8 (2) ◽  
pp. 13-24
Author(s):  
RAHIMAH IBRAHIM ◽  
◽  
HAZWAN MAT DIN ◽  
SITI FARRA ZILLAH ABDULLAH ◽  
TENGKU AIZAN HAMID
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Discriminant Validity ◽  
Estimation Method ◽  
Well Being ◽  
Community Dwelling ◽  
Validity And Reliability ◽  
Five Factors ◽  
New Instrument ◽  
Confirmatory Factor

Malaysia is experiencing rapid ageing. With such rapid demographic changes, the need for understanding elderly well-being become a necessity. This study aims to validate a new developed Malaysian index of elderly well-being (MIEW) among the Malaysian community-dwelling elderly. A cross-sectional study was conducted among the elderly in Negeri Sembilan, Malaysia. The preliminary MIEW contained 40 items and is composed of five factors; economic, health, social, psycho-spiritual and environmental well-being. Confirmatory factor analysis using maximum likelihood estimation method was conducted to assess the validity and reliability of the instrument. A total of 629 respondents participated in this study, with an average age of 70.36 years old. Confirmatory factor analysis yielded 18 items with five factors. The model fitted the data well, showing strong construct validity and reliability of the instrument. The findings from this study suggested an acceptable level of validity and reliability for the new instrument. However, MIEW should be used with caution as the discriminant validity of social and environmental well-being was unsatisfactory. Further research in this section is recommended.

scholarly journals Inclusion at universities: Psychometric properties of an inclusive management scale as perceived by students

PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0262011
Author(s):  
María José Solis-Grant ◽  
Camila Espinoza-Parçet ◽  
Cristóbal Sepúlveda-Carrasco ◽  
Cristhian Pérez-Villalobos ◽  
Iván Rodríguez-Núñez ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Quantitative Research ◽  
Online Survey ◽  
Tertiary Education ◽  
Validity And Reliability ◽  
New Instrument ◽  
Confirmatory Factor ◽  
The One

Introduction During the last century, the inclusion of all kinds of diversity became a social imperative in all social spaces but above all in some institutions such as the educational ones. Among these, inclusion has been least studied in the tertiary education organizations. This communication proposes and evaluates the psychometric properties of a new instrument, named Inclusive Management in Tertiary Institutions Scale (IMTIS), to assess inclusive management in universities. Method The researchers used a quantitative research model through survey. We based on the Index for Inclusion to design the IMTIS. We first submitted it to the assessment of experts. Then we applied the resulting version in an online survey including a sample of 1557 students from two universities and 121 different undergraduate careers. A panel of experts judged the content validity of the instrument. Participants answered the IMTIS after informed consent. We used confirmatory factor analysis to assess the construct validity of the instrument. We also evaluated the reliability of the measurements. Results From a kit of 33 originally proposed items, we obtained a version of 22 items with CVR between 0.60 and 1.00, and a IVC = 0.78. The confirmatory factor analysis showed that the six-factor solution had a better adjustment than the one and three factors solutions (RMSEA = 0.059; CFI = 0.947; TLI = 0.937). The McDonald ω coefficients were between 0.864 and 0.922. Conclusion The results deliver evidence that supports the validity and reliability of the IMTIS measurements to carry out research and diagnosis of inclusive management in higher education institutions.

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 Exploratory and Confirmatory Factor Analysis of the Social Skills Scale for Young Immigrants

2020 ◽  
Vol 12 (17) ◽  
pp. 6897
Author(s):  
María Tomé-Fernández ◽  
Christian Fernández-Leyva ◽  
Eva María Olmedo-Moreno
Keyword(s):  
Factor Analysis ◽  
Social Skills ◽  
Confirmatory Factor Analysis ◽  
Structural Equations ◽  
Sociocultural Factors ◽  
Validity And Reliability ◽  
The Social ◽  
New Instrument ◽  
Confirmatory Factor ◽  
Young Immigrants

The integration of young immigrants in the societies that host them highlights the need for the intervention of social workers to facilitate their adaptation and inclusion from an individualized diagnosis of their needs. The development of social skills in the immigrants is one of the main ways to make that integration happen, and therefore its diagnosis is fundamental. However, at present, there are no valid and reliable instruments that take into account the sociocultural factors that surround young immigrants for the evaluation of their social skills. It is for this reason that the purpose of this study was to adapt and validate a current and useful instrument for the diagnosis of such social skills to young immigrants welcomed in Spain. To do this, it was started on the choice and adaptation of The Social Skills Scale (Escala de Habilidades Sociales). Subsequently, the questionnaire was submitted to concurrent, predictive, and nomological validation processes. The construct validity was carried out by factor analysis first and second order to confirm the hierarchical structure of the scale. After validation with Exploratory Factor Analysis (n = 330), the structure was checked, and the model was later adjusted with Confirmatory Factor Analysis (n = 568) by means of structural equations. The reliability and internal consistency of the instrument was also tested with values in all dimensions above 0.8. It is concluded that this new instrument has 29 items and 6 dimensions, has acceptable validity and reliability, and can be used for the diagnosis of Social Skills in Young Immigrants.

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.

Factorial Structure of the Therapist Adherence Measure-Revised (TAM-R) Within Multisystemic Therapy

2020 ◽  
Vol 36 (2) ◽  
pp. 427-431
Author(s):  
Aurelie M. C. Lange ◽  
Marc J. M. H. Delsing ◽  
Ron H. J. Scholte ◽  
Rachel E. A. van der Rijken
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Multisystemic Therapy ◽  
Model Fit ◽  
Validity And Reliability ◽  
Adherence Measure ◽  
Therapist Adherence ◽  
Confirmatory Factor ◽  
The Us

Abstract. The Therapist Adherence Measure (TAM-R) is a central assessment within the quality-assurance system of Multisystemic Therapy (MST). Studies into the validity and reliability of the TAM in the US have found varying numbers of latent factors. The current study aimed to reexamine its factor structure using two independent samples of families participating in MST in the Netherlands. The factor structure was explored using an Exploratory Factor Analysis (EFA) in Sample 1 ( N = 580). This resulted in a two-factor solution. The factors were labeled “therapist adherence” and “client–therapist alliance.” Four cross-loading items were dropped. Reliability of the resulting factors was good. This two-factor model showed good model fit in a subsequent Confirmatory Factor Analysis (CFA) in Sample 2 ( N = 723). The current finding of an alliance component corroborates previous studies and fits with the focus of the MST treatment model on creating engagement.

Further Insights Into the German Version of the Multidimensional Assessment of Interoceptive Awareness (MAIA)

2019 ◽  
Vol 35 (3) ◽  
pp. 317-325 ◽  
Author(s):  
Dorota Reis
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Interoceptive Awareness ◽  
Multidimensional Assessment ◽  
New Instrument ◽  
Confirmatory Factor ◽  
Complex Models ◽  
Approximate Zero ◽  
Bayesian Structural Equation Modeling

Abstract. Interoception is defined as an iterative process that refers to receiving, accessing, appraising, and responding to body sensations. Recently, following an extensive process of development, Mehling and colleagues (2012) proposed a new instrument, the Multidimensional Assessment of Interoceptive Awareness (MAIA), which captures these different aspects of interoception with eight subscales. The aim of this study was to reexamine the dimensionality of the MAIA by applying maximum likelihood confirmatory factor analysis (ML-CFA), exploratory structural equation modeling (ESEM), and Bayesian structural equation modeling (BSEM). ML-CFA, ESEM, and BSEM were examined in a sample of 320 German adults. ML-CFA showed a poor fit to the data. ESEM yielded a better fit and contained numerous significant cross-loadings, of which one was substantial (≥ .30). The BSEM model with approximate zero informative priors yielded an excellent fit and confirmed the substantial cross-loading found in ESEM. The study demonstrates that ESEM and BSEM are flexible techniques that can be used to improve our understanding of multidimensional constructs. In addition, BSEM can be seen as less exploratory than ESEM and it might also be used to overcome potential limitations of ESEM with regard to more complex models relative to the sample size.

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