Toward a hierarchical model of criminal thinking: Evidence from item response theory and confirmatory factor analysis.

2011 ◽  
Vol 23 (4) ◽  
pp. 925-936 ◽  
Author(s):  
Glenn D. Walters ◽  
Brett T. Hagman ◽  
Amy M. Cohn
Keyword(s):  
Factor Analysis ◽  
Item Response Theory ◽  
Confirmatory Factor Analysis ◽  
Item Response ◽  
Hierarchical Model ◽  
Criminal Thinking ◽  
Response Theory ◽  
Confirmatory Factor

scholarly journals An item response theory/confirmatory factor analysis of the Autobiographical Memory Test

Memory ◽  
2009 ◽  
Vol 17 (6) ◽  
pp. 609-623 ◽  
Author(s):  
James W. Griffith ◽  
Jennifer A. Sumner ◽  
Elise Debeer ◽  
Filip Raes ◽  
Dirk Hermans ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Item Response Theory ◽  
Confirmatory Factor Analysis ◽  
Autobiographical Memory ◽  
Item Response ◽  
Memory Test ◽  
Response Theory ◽  
Confirmatory Factor

scholarly journals PSYCHOMETRIC EVALUATION OF FLOOD DISASTER MANAGEMENT QUESTIONNAIRE: CONFIRMATORY FACTOR ANALYSIS AND ITEM RESPONSE THEORY ANALYSIS

2021 ◽  
Vol 21 (2) ◽  
pp. 133-140
Author(s):  
Mohamad Masykurin Mafauzy ◽  
Tuan Hairulnizam Tuan Kamauzaman ◽  
Wan Nor Arifin ◽  
Hadi Fadhil Mat Said ◽  
Fatimah Ismail ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Item Response Theory ◽  
Confirmatory Factor Analysis ◽  
Item Response ◽  
Estimation Method ◽  
Flood Disaster ◽  
Model Fit ◽  
Response Theory ◽  
Attitude And Practice ◽  
Confirmatory Factor

Flood disaster is the commonest natural disaster with huge impact on healthcare services in Malaysia. The FloodDMQ-BM© questionnaire was developed as a tool to assess the knowledge, attitude, and practice of healthcare providers regarding patient management during a flood disaster. We aim to further validate the FloodDMQ-BM© questionnaire by using Confirmatory Factor Analysis (CFA) and Item Response Theory (IRT).This cross-sectional study involved doctors, nurses and paramedics working in the Emergency Department of Hospital Universiti Sains Malaysia, Hospital Raja Perempuan Zainab II and Hospital Kuala Krai. Respondents were required to complete the FloodDMQ-BM© questionnaire. The responses were analysed by using CFA and IRT to establish its validity and reliability. A total of 215 respondents participated in this study. CFA analysis with Maximum Likelihood Robust as the estimation method, on the attitude and practice components resulted in good factor loadings (>0.5) in nearly all items and excellent model fit indices values (CFI = 0.96-0.98, TLI = 0.95-0.96, SRMR = 0.04-0.05, RMSEA = 0.07). Meanwhile, IRT analysis on the knowledge section showed a good two-way marginal fit based on S-X2, and a good model fit with RMSEA of 0.08. Based on the 2PL model by using the IRT assessment of the knowledge section, one item in the knowledge section (K3) was removed (chi-squared residual >4) resulting in improved model fit. The included items had well-standardized loadings (>0.3) and marginal reliability of 0. 651.Our results confirmed that the FloodDMQ-BM© questionnaire displayed valid and reliable psychometric properties.

Complications with Assessing Disability in Care of the Aged

GeroPsych ◽  
2010 ◽  
Vol 23 (3) ◽  
pp. 155-159 ◽  
Author(s):  
Edward Helmes ◽  
Alistair Campbell
Keyword(s):  
Factor Analysis ◽  
Item Response Theory ◽  
Confirmatory Factor Analysis ◽  
Item Response ◽  
Severe Disability ◽  
Elderly Subjects ◽  
Normative Sample ◽  
Response Theory ◽  
Observation Scale ◽  
Confirmatory Factor

Cases of severe disability present both practical and psychometric problems when the disability limits function in domains other than the primary one. A re-analysis of the normative sample for the Multidimensional Observation Scale for Elderly Subjects (MOSES; Helmes, Csapo, & Short, 1987 ) contrasted different approaches to dealing with its 18 items that include a “does not apply” option. Confirmatory factor analysis was used to compare scoring options for such items. Items were also analyzed using item response theory, which revealed several distinct options for the 18 items in question. Several MOSES items do not need the use of the “does not apply” scoring option. A revision of MOSES to incorporate the revised scoring for those 10 items is in order.

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