| 1. |
- Andersson, Gustaf, et al.
(författare)
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Generalized Linear Factor Score Regression : A Comparison of Four Methods
- 2021
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Ingår i: Educational and Psychological Measurement. - : Sage Publications. - 0013-1644 .- 1552-3888. ; 81:4, s. 617-643
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Tidskriftsartikel (refereegranskat)abstract
- Factor score regression has recently received growing interest as an alternative for structural equation modeling. However, many applications are left without guidance because of the focus on normally distributed outcomes in the literature. We perform a simulation study to examine how a selection of factor scoring methods compare when estimating regression coefficients in generalized linear factor score regression. The current study evaluates the regression method and the correlation-preserving method as well as two sum score methods in ordinary, logistic, and Poisson factor score regression. Our results show that scoring method performance can differ notably across the considered regression models. In addition, the results indicate that the choice of scoring method can substantially influence research conclusions. The regression method generally performs the best in terms of coefficient and standard error bias, accuracy, and empirical Type I error rates. Moreover, the regression method and the correlation-preserving method mostly outperform the sum score methods.
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| 2. |
- Bali Swain, Ranjula, 1968-, et al.
(författare)
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COVID-19 pandemic waves : Identification and interpretation of global data
- 2024
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Ingår i: Heliyon. - : Elsevier. - 2405-8440. ; 10:3
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Tidskriftsartikel (refereegranskat)abstract
- The mention of the COVID-19 waves is as prevalent as the pandemic itself. Identifying the beginning and end of the wave is critical to evaluating the impact of various COVID-19 variants and the different pharmaceutical and non-pharmaceutical (including economic, health and social, etc.) interventions. We demonstrate a scientifically robust method to identify COVID-19 waves and the breaking points at which they begin and end from January 2020 to June 2021. Employing the Break Least Square method, we determine the significance of COVID-19 waves for global-, regional-, and country-level data. The results show that the method works efficiently in detecting different breaking points. Identifying these breaking points is critical for evaluating the impact of the economic, health, social and other welfare interventions implemented during the pandemic crisis. Employing our method with high frequency data effectively determines the start and end points of the COVID-19 wave(s). Identifying waves at the country level is more relevant than at the global or regional levels. Our research results evidenced that the COVID-19 wave takes about 48 days on average to subside once it begins, irrespective of the circumstances.
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| 3. |
- Bali Swain, Ranjula, 1968-, et al.
(författare)
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Does Foreign Aid Improve Gender Performance In Recipient Countries?
- 2020
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Ingår i: Journal of International Development. - : Wiley. - 0954-1748 .- 1099-1328. ; 32:7, s. 1171-1193
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Tidskriftsartikel (refereegranskat)abstract
- An explicit goal of foreign aid is to promote female empowerment and gender equality in developing countries. We investigate if foreign aid achieves this intended goal by examining its impact on the gender performance of recipient countries at the country level. Employing structural equation models, our results suggest that aid alone, even when targeted to directly improve gender outcomes, is unlikely to shift systemic inequalities. Aid will need to bolster civil society efforts that challenge institutional structures and norms in order to impact gender outcomes at the country level.
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| 4. |
- Bali Swain, Ranjula, et al.
(författare)
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The impact of microfinance on factors empowering women : Differences in regional and delivery mechanisms in India’s SHG programme
- 2017
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Ingår i: Journal of Development Studies. - : Routledge. - 0022-0388 .- 1743-9140. ; 53:5, s. 684-699
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Tidskriftsartikel (refereegranskat)abstract
- We examine how the impact on women empowerment varies with respect to the location and type of group linkage of the respondent. Using household survey data from five states in India, we correct for selection bias to estimate a structural equation model. Our results reveal that in the southern states of India empowerment of women takes place through economic factors. For the other states, we find a significant correlation between women empowerment and autonomy in women’s decision-making and network, communication and political participation respectively. We do not however find any differential causal impact of different delivery methods (linkage models).
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| 5. |
- Bartusch, Cajsa, 1965-, et al.
(författare)
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Opening the black box of demand response : Exploring the cognitive processes
- 2024
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Ingår i: Renewable & sustainable energy reviews. - : Elsevier. - 1364-0321 .- 1879-0690. ; 189
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Tidskriftsartikel (refereegranskat)abstract
- Evaluations of price-based demand response programs tend to focus on users' electricity use patterns and/or their practical experiences. Less is known about the effects that price-based demand response programs have on cognitive drivers and barriers to energy-using behaviors and habits, or how well these predict timing of households' electricity use. This study seeks to address this gap by evaluating the effects of a mandatory demand-based time-of-use distribution tariff, using electricity-meter and questionnaire data in an intervention and a reference area, and a structural equation model following the theory of planned behavior. Although no effect was found of the tariff on the actual proportion of peak-hour use, there were significant effects on users’ intentions and motivations to shift electricity use to off-peak hours. The absence of effect on the proportion of peak-hour use seems explained by the facts that only a minority of consumers were aware of their tariffs, and by the (at least partially correct) beliefs that consumers used very little electricity and most of it was already used in off-peak hours. The relationships between intentions, drivers and the actual proportion of peak-hour use were stronger in the intervention area, compared to the reference area. Interestingly, this was true not only for the motivation targeted by the tariff, economic savings, but also for sustainability concerns and social norms. This suggests that effects of the tariff may partly run via other non-monetary motivators.
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| 6. |
- Hedrén, Andreas, et al.
(författare)
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Managing Mandated Adoption : Pre-deployment Attitudes And Beliefs In The Context Of Critical Care
- 2019
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Ingår i: Proceedings of the 27th European Conference on Information Systems (ECIS), Stockholm & Uppsala, Sweden, June 8-14, 2019. - : Association for Information Systems (AIS). - 9781733632508
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Konferensbidrag (refereegranskat)abstract
- This research develops and tests a theoretical model on the impact of antecedents on technology adoption developing valuable insight into influencing levels of attitudes and expectations prior to deployment of a mandated to use system. Two stages during the pre-deployment phase of a mission-critical, mandated system are studied. Results are reported from a two cross-sections field study of 263 and 185 users (physicians, nurses and nurse affiliates) at Critical Care departments of two hospitals implementing a Patient Data Management System. The results indicate that prior to deployment, Trust is the most important predictor of attitudes and expectations. The proposed model explains a relatively large amount of the variance, (64% and 69%) in attitude and (57% and 47%) in expectations before and after training in system use, respectively.
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| 7. |
- Jaensson, Maria, 1967-, et al.
(författare)
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Psychometric Validation of the Perceived Perioperative Competence Scale-Revised in the Swedish Context
- 2018
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Ingår i: Journal of Perianesthesia Nursing. - : Elsevier. - 1089-9472 .- 1532-8473. ; 33:4, s. 499-511
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: To psychometrically test the Perceived Perioperative Competence Scale-Revised (PPCS-R) in the Swedish context.Design: Cross-sectional survey.Methods: The 40-item PPCS-R was translated into Swedish using a forward-translation approach. A census of 2,902 registered nurse anesthetists (RNAs) and operating room (OR) nurses was drawn from a database of a national association in Sweden.Finding: The response rate was 39% (n = 1,033; 528 RNAs and 505 OR nurses). Cronbach alpha for each factor was 0.78 to 0.89 among OR nurses and 0.79 to 0.88 among RNAs. Confirmatory factor analysis showed good model fit in the six-factor model.Conclusions: Psychometric testing of the Swedish translation of the PPCS-R suggests a good construct validity, and the construct and its six factors are conceptually relevant among the Swedish OR nurses and RNAs.
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| 8. |
- Jin, Shaobo, 1987-, et al.
(författare)
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A unified model-implied instrumental variable approach for structural equation modeling with mixed variables
- 2021
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Ingår i: Psychometrika. - : Springer Nature. - 0033-3123 .- 1860-0980. ; 86:2, s. 564-594
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Tidskriftsartikel (refereegranskat)abstract
- The model-implied instrumental variable (MIIV) estimator is an equation-by-equation estimator of structural equation models that is more robust to structural misspecifications than full information estimators. Previous studies have concentrated on endogenous variables that are all continuous (MIIV-2SLS) or all ordinal . We develop a unified MIIV approach that applies to a mixture of binary, ordinal, censored, or continuous endogenous observed variables. We include estimates of factor loadings, regression coefficients, variances, and covariances along with their asymptotic standard errors. In addition, we create new goodness of fit tests of the model and overidentification tests of single equations. Our simulation study shows that the proposed MIIV approach is more robust to structural misspecifications than diagonally weighted least squares (DWLS) and that both the goodness of fit model tests and the overidentification equations tests can detect structural misspecifications. We also find that the bias in asymptotic standard errors for the MIIV estimators of factor loadings and regression coefficients are often lower than the DWLS ones, though the differences are small in large samples. Our analysis shows that scaling indicators with low reliability can adversely affect the MIIV estimators. Also, using a small subset of MIIVs reduces small sample bias of coefficient estimates, but can lower the power of overidentification tests of equations.
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| 9. |
- Jin, Shaobo, 1987-, et al.
(författare)
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Approximated penalized maximum likelihood for exploratory factor analysis : An orthogonal case
- 2018
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Ingår i: Psychometrika. - : Springer Science and Business Media LLC. - 0033-3123 .- 1860-0980. ; 83:3, s. 628-649
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Tidskriftsartikel (refereegranskat)abstract
- The problem of penalized maximum likelihood (PML) for an exploratory factor analysis (EFA) model is studied in this paper. An EFA model is typically estimated using maximum likelihood and then the estimated loading matrix is rotated to obtain a sparse representation. Penalized maximum likelihood simultaneously fits the EFA model and produces a sparse loading matrix. To overcome some of the computational drawbacks of PML, an approximation to PML is proposed in this paper. It is further applied to an empirical dataset for illustration. A simulation study shows that the approximation naturally produces a sparse loading matrix and more accurately estimates the factor loadings and the covariance matrix, in the sense of having a lower mean squared error than factor rotations, under various conditions.
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| 10. |
- Jin, Shaobo, 1987-, et al.
(författare)
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Asymptotic Robustness Study Of The Polychoric Correlation Estimation
- 2017
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Ingår i: Psychometrika. - : Springer Science and Business Media LLC. - 0033-3123 .- 1860-0980. ; 82:1, s. 67-85
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Tidskriftsartikel (refereegranskat)abstract
- Asymptotic robustness against misspecification of the underlying distribution for the polychoric correlation estimation is studied. The asymptotic normality of the pseudo-maximum likelihood estimator is derived using the two-step estimation procedure. The t distribution assumption and the skew-normal distribution assumption are used as alternatives to the normal distribution assumption in a numerical study. The numerical results show that the underlying normal distribution can be substantially biased, even though skewness and kurtosis are not large. The skew-normal assumption generally produces a lower bias than the normal assumption. Thus, it is worth using a non-normal distributional assumption if the normal assumption is dubious.
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