The Indonesian version of the Life Orientation Test-Revised (LOT-R): Psychometric properties based on the Rasch model

Suryadi, Bambang; Hayat, Bahrul; Putra, Muhammad Dwirifqi Kharisma

doi:10.1080/23311908.2020.1869375

Cited by 10 publications

(7 citation statements)

References 53 publications

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“…A principal component analysis of Rasch residuals (PCAR), a technique which uses the dependencies between the variables to represent it in a more tractable, lower-dimensional form, without losing too much information, was performed [ 21 ]. PCAR is one of the simplest and most robust ways of doing a dimensionality reduction for identifying the common factor that explains similarities and differences among the countries [ 21 – 24 ]. A Wright map was used to present, on the same logit scale, how likely (or how less likely) it was for the different parameters to be identified in the reviewed pandemic plans [ 24 , 25 ].…”

Section: Methodsmentioning

confidence: 99%

“…PCAR is one of the simplest and most robust ways of doing a dimensionality reduction for identifying the common factor that explains similarities and differences among the countries [ 21 – 24 ]. A Wright map was used to present, on the same logit scale, how likely (or how less likely) it was for the different parameters to be identified in the reviewed pandemic plans [ 24 , 25 ]. The statistical analysis was performed with Winsteps 3.65 [ 26 ].…”

Section: Methodsmentioning

confidence: 99%

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An analysis of how health systems integrated priority-setting in the pandemic planning in a sample of Latin America and the Caribbean countries

Vélez

Aguilera

Kapiriri

et al. 2022

Health Res Policy Sys

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Background Latin America and the Caribbean (LAC) are among those regions most affected by the COVID-19 pandemic worldwide. The COVID-19 pandemic has strained health systems in the region. In this context of severe healthcare resource constraints, there is a need for systematic priority-setting to support decision-making which ensures the best use of resources while considering the needs of the most vulnerable groups. The aim of this paper was to provide a critical description and analysis of how health systems considered priority-setting in the COVID-19 response and preparedness plans of a sample of 14 LAC countries; and to identify the associated research gaps. Methods A documentary analysis of COVID-19 preparedness and response plans was performed in a sample of 14 countries in the LAC region. We assessed the degree to which the documented priority-setting processes adhered to established quality indicators of effective priority-setting included in the Kapiriri and Martin framework. We conducted a descriptive analysis of the degree to which the reports addressed the quality parameters for each individual country, as well as a cross-country comparison to explore whether parameters varied according to independent variables. Results While all plans were led and supported by the national governments, most included only a limited number of quality indicators for effective priority-setting. There was no systematic pattern between the number of quality indicators and the country’s health system and political contexts; however, the countries that had the least number of quality indicators tended to be economically disadvantaged. Conclusion This study adds to the literature by providing the first descriptive analysis of the inclusion of priority-setting during a pandemic, using the case of COVID-19 response and preparedness plans in the LAC region. The analysis found that despite the strong evidence of political will and stakeholder participation, none of the plans presented a clear priority-setting process, or used a formal priority-setting framework, to define interventions, populations, geographical regions, healthcare setting or resources prioritized. There is need for case studies that analyse how priority-setting actually occurred during the COVID-19 pandemic and the degree to which the implementation reflected the plans and the parameters of effective priority-setting, as well as the impact of the prioritization processes on population health, with a focus on the most vulnerable groups.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

An analysis of how health systems integrated priority-setting in the pandemic planning in a sample of Latin America and the Caribbean countries

Vélez

Aguilera

Kapiriri

et al. 2022

Health Res Policy Sys

View full text Add to dashboard Cite

show abstract

“…Observations were made on the point-measure correlation value (PT-measure) to see the compatibility between the model and the data. A negative value indicates that the item is not functioning correctly (Suryadi et al, 2021). For analysis with Rasch using the Joint Maximum Likelihood (JMLE) estimator and the Winsteps application.…”

Section: Discussionmentioning

confidence: 99%

Psycometric Properties of the Authentic Happiness Scale (Ahs) Indonesian Version With Confirmatory Factor Analysis and Rasch Model

Syahputra¹,

Falah²,

Yundianto³

2023

AMJ

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This study aims to examine the psychometric properties of the Indonesian version of the authentic happiness scale (AHS), which includes an analysis of unidimensionality and item fit using the CFA and Rasch Model. Validity and reliability. This scale consists of authentic and fluctuating happiness consisting of 20 items, ten items each. The scale was administered to 112 educators as samples taken by purposive sampling. In the CFA unidimensionality test, ten items were eliminated to obtain a fit model, and ten items were re-examined and analyzed using the Rasch model. The above analysis results prove that AHS has good psychometric properties to be used in the Indonesian version

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“…The reliability of STEM application instruments in the Indonesian context employing Winsteps software for item reliability (0.94), person reliability (0.96) and Cronbach's alpha (0.97) were adequate (see Table 2). Furthermore, the separation between the item and the person, should be greater than 1.5 to be regarded as appropriate (Suryadi et al, 2021;Tennant & Conaghan, 2007). The separation for item (4.67) and person (3.81) for the STEM application instrument in the Indonesian context was good.…”

Section: Instrument Validity and Reliabilitymentioning

confidence: 98%

Rasch Validation of Instrument Measuring Gen-Z Science, Technology, Engineering, and Mathematics (STEM) Application in Teaching during the Pandemic

Qudratuddarsi

Hidayat

Shah

et al. 2022

IJLTER

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The impact of the Covid-19 pandemic has had a far-reaching effect on higher education institutions, and individual student assessments have garnered much attention during the pandemic. This study aimed to validate Science, Technology, Engineering, and Mathematics (STEM) application instruments using the Rasch analysis employing Winsteps version 3.73. A survey was conducted with 201 respondents from two provinces in Indonesia. The students were selected by convenience sampling and answered the adopted STEM application instrument. The STEM application instruments were adapted, and these were divided into seven sub-constructs derived from STEM disciplines. Rasch Modelling was employed for data analysis using Winsteps version 3.7.3 to analyse reliability, separation, item fit statistics, unidimensionality, and rating scale calibration. Each sub-construct fulfilled a minimum of 0.65 for Cronbach alpha, item, and person reliability, and most of them had more than 1.5 person and item separation. In general, each item had a good score of the mean square, Z-tolerated standard, and point measure correlation, indicating fulfilment of the Rasch measurement model. The analysis also showed unidimensionality assumption and an excellent rating scale. This study contributed to the body of STEM knowledge by using Rasch Modelling to test the validity and reliability of STEM application instruments.

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The Indonesian version of the Life Orientation Test-Revised (LOT-R): Psychometric properties based on the Rasch model

Cited by 10 publications

References 53 publications

An analysis of how health systems integrated priority-setting in the pandemic planning in a sample of Latin America and the Caribbean countries

An analysis of how health systems integrated priority-setting in the pandemic planning in a sample of Latin America and the Caribbean countries

Psycometric Properties of the Authentic Happiness Scale (Ahs) Indonesian Version With Confirmatory Factor Analysis and Rasch Model

Rasch Validation of Instrument Measuring Gen-Z Science, Technology, Engineering, and Mathematics (STEM) Application in Teaching during the Pandemic

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