scholarly journals Non-iterative Conditional Pairwise Estimation for the Rating Scale Model

2021 ◽  
pp. 001316442110462
Author(s):  
Mark Elliott ◽  
Paula Buttery
Keyword(s):  
Rating Scale ◽  
Estimation Procedure ◽  
Scale Model ◽  
Threshold Estimation ◽  
Computationally Efficient ◽  
Large Effect Size ◽  
Iterative Estimation ◽  
Biased Estimates ◽  
Theoretical Issues ◽  
Rating Scale Model

We investigate two non-iterative estimation procedures for Rasch models, the pair-wise estimation procedure (PAIR) and the Eigenvector method (EVM), and identify theoretical issues with EVM for rating scale model (RSM) threshold estimation. We develop a new procedure to resolve these issues—the conditional pairwise adjacent thresholds procedure (CPAT)—and test the methods using a large number of simulated datasets to compare the estimates against known generating parameters. We find support for our hypotheses, in particular that EVM threshold estimates suffer from theoretical issues which lead to biased estimates and that CPAT represents a means of resolving these issues. These findings are both statistically significant ( p < .001) and of a large effect size. We conclude that CPAT deserves serious consideration as a conditional, computationally efficient approach to Rasch parameter estimation for the RSM. CPAT has particular potential for use in contexts where computational load may be an issue, such as systems with multiple online algorithms and large test banks with sparse data designs.

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.

The Random-Effect Generalized Rating Scale Model

2011 ◽  
Vol 48 (4) ◽  
pp. 441-456 ◽  
Author(s):  
Wen-Chung Wang ◽  
Shiu-Lien Wu
Keyword(s):  
Rating Scale ◽  
Random Effect ◽  
Scale Model ◽  
Rating Scale Model

scholarly journals Questionário de Fusão Cognitiva (CFQ): novas evidências de validade e invariância transcultural

Psico ◽  
2019 ◽  
Vol 50 (1) ◽  
pp. 27851
Author(s):  
Evandro Morais Peixoto ◽  
Giovana Corte Honda ◽  
Joel Gagnon ◽  
Tatiana De Cássia Nakano ◽  
Glaucia Mitsuko Ataka da Rocha ◽  
...  
Keyword(s):  
Rating Scale ◽  
Scale Model ◽  
Rating Scale Model

A fusão cognitiva é um conceito chave na Terapia de Aceitação e Compromisso, mecanismo em que a pessoa se funde com seus pensamentos e os toma como se fossem fatos reais. Os objetivos desta pesquisa foram de estimar novas evidências de validade do Questionário de Fusão Cognitiva (CFQ) e de testar a invariância dos itens entre amostra brasileira e franco-canadense. Participaram desta pesquisa 578 adultos brasileiros e 676 adultos franco-canadenses. A Análise Fatorial Exploratória revelou adequação da estrutura unidimensional, conforme hipótese teórica. O Rating Scale Model demostrou índices de dificuldade entre -0,42 e 0,69 e índices ajustes adequados (Infit/Outfit) entre 0,79 e 1,45 para os itens de ambas as versões e descrição sumarizada dos níveis de theta dos participantes. A Análise de DIF apontou dois itens que não suportavam invariância no parâmetro dificuldade em função das diferenças culturais. Contudo, observou-se invariância destes parâmetros quando avaliados em função do gênero dos participantes de cada amostra.

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.

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