scholarly journals An IRT–Multiple Indicators Multiple Causes (MIMIC) Approach as a Method of Examining Item Response Latency

2018 ◽  
Vol 9 ◽  
Author(s):  
Ioannis Tsaousis ◽  
Georgios D. Sideridis ◽  
Abdullah Al-Sadaawi
Keyword(s):  
Item Response ◽  
Response Latency ◽  
Multiple Indicators ◽  
Mimic Approach ◽  
Multiple Causes

The size of the informal economy in Nigeria: a structural equation approach

2020 ◽  
Vol 47 (8) ◽  
pp. 1063-1078
Author(s):  
Roberto Dell'Anno ◽  
Omobola Adu
Keyword(s):  
Informal Economy ◽  
Structural Equation ◽  
Design Methodology ◽  
Total Population ◽  
National Bureau ◽  
Equation Approach ◽  
Content Type ◽  
Multiple Indicators ◽  
Mimic Approach ◽  
Official Estimate

PurposeThis paper contributes to the literature concerning the Nigerian informal economy (IE) by estimating its size from 1991 to 2017 and identifying the major causes.Design/methodology/approachA structural equation approach in the form of the multiple indicators multiple causes (MIMIC) method is used to estimate the size of the Nigerian IE.FindingsThe results indicate that vulnerable employment and urban population as a percentage of the total population are the main drivers of the IE in Nigeria. The IE in Nigeria ranges from 38.83% to 57.55% of gross domestic product (GDP).Research limitations/implicationsAs a result of the empirical challenges in the estimation of the IE, the estimates of Nigeria's IE are considered to be rough estimates.Originality/valueThe authors calibrated the MIMIC model with the official estimate of the informal sector published by the Nigerian National Bureau of Statistics (NBS). This was an attempt to combine the national accounting approach, to estimate the size of IE, with the MIMIC approach, and to estimate the trend of informality.

Validation of a theory-based instrument measuring patient-reported psychosocial care by physicians using a multiple indicators and multiple causes model

2010 ◽  
Vol 80 (1) ◽  
pp. 100-106 ◽  
Author(s):  
Oliver Ommen ◽  
Markus Wirtz ◽  
Christian Janssen ◽  
Melanie Neumann ◽  
Nicole Ernstmann ◽  
...  
Keyword(s):  
Psychosocial Care ◽  
Multiple Indicators ◽  
Patient Reported ◽  
Instrument Measuring ◽  
Multiple Causes

scholarly journals Multiple indicators, multiple causes measurement error models

2014 ◽  
Vol 33 (25) ◽  
pp. 4469-4481 ◽  
Author(s):  
Carmen D. Tekwe ◽  
Randy L. Carter ◽  
Harry M. Cullings ◽  
Raymond J. Carroll
Keyword(s):  
Measurement Error ◽  
Error Models ◽  
Multiple Indicators ◽  
Measurement Error Models ◽  
Multiple Causes

scholarly journals Impact of COVID-19 Pandemic on the Psychological Outcomes: Multiple Indicators and Multiple Causes (MIMIC) Modeling

2021 ◽  
Author(s):  
Musheer A. Aljaberi ◽  
Naser A. Alareqe ◽  
Mousa A. Qasem ◽  
Abdulsamad Alsalahi ◽  
Sarah Noman ◽  
...  
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Psychological Impact ◽  
Psychological Outcomes ◽  
Post Traumatic Stress ◽  
Latent Factors ◽  
Event Scale ◽  
Multiple Indicators ◽  
The Impact ◽  
Multiple Causes

Abstract Background: Due to the limited research examining the psychological impact of coronavirus disease 2019 (COVID-19), our study aims to investigate the effect of the COVID-19 pandemic on psychological outcomes and assess the differences between participants with and without post-traumatic stress disorder (PTSD) on the psychological outcomes as latent factors and items. Methods: An online survey was conducted on 999 participants. The Impact of Event Scale-Revised (IES-R) assessed the psychological impact, while outcomes were measured by Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder (GAD-7), and Insomnia Severity Index (ISI). A series of Confirmatory Factor Analysis (CFA), structural equation model (SEM), Multiple Indicators and Multiple Causes (MIMIC), and Differential Item Functioning (DIF) were conducted. Results: The IES-R has significant effects on the psychological outcomes. Participants with PTSD have a higher impact on latent factors (depression, anxiety, and insomnia) than those without PTSD. Among participants, 36.5% experienced moderate to severe symptoms of depression, and 32.6% had mild depressive symptoms. For anxiety, 23.7% of respondents experienced moderate to severe anxiety symptoms, and 33.1% had mild symptoms of anxiety. For the ISI, 51.5% of participants experienced symptoms of insomnia. Conclusion: the IES-R for COVID-19 has a significant impact on depression, anxiety, and insomnia at the level of latent constructs and observed variables.

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