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Yang-Wallentin, Fan
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Bali Swain, R. & Yang-Wallentin, F. (2020). Achieving sustainable development goals: predicaments and strategies. International Journal of Sustainable Development and World Ecology, 27(2), 96-106
Åpne denne publikasjonen i ny fane eller vindu >>Achieving sustainable development goals: predicaments and strategies
2020 (engelsk)Inngår i: International Journal of Sustainable Development and World Ecology, ISSN 1350-4509, E-ISSN 1745-2627, Vol. 27, nr 2, s. 96-106Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The ambitious United Nations Sustainable Development Goals (SDGs) have been criticized for being universal, broadly framed, inconsistent and difficult to quantify, implement and monitor. We contribute by quantifying and prioritising the SDGs and their impact on sustainable development. We employ structural equation models (SEM) to investigate, which of the underlying pillars of SDGs (economic, social and environment) are the most effective in achieving sustainable development. Our results reveal that the developed countries benefit most by focusing on social and environmental factors, whereas the developing countries benefit most by retaining their focus on the economic and the social factors.

Emneord
Sustainable development goals, sustainable development incompatibility, structural equation modeling, factor analysis, UN data revolution
HSV kategori
Forskningsprogram
Nationalekonomi; Statistik
Identifikatorer
urn:nbn:se:uu:diva-400028 (URN)10.1080/13504509.2019.1692316 (DOI)000499044900001 ()
Forskningsfinansiär
Swedish Research Council
Tilgjengelig fra: 2019-12-17 Laget: 2019-12-17 Sist oppdatert: 2020-04-24bibliografisk kontrollert
Rdz-Navarro, K. & Yang-Wallentin, F. (2020). Specification issues in nonlinear SEM: The moderation that wasn't. Psicothema (Oviedo), 32(1), 115-121
Åpne denne publikasjonen i ny fane eller vindu >>Specification issues in nonlinear SEM: The moderation that wasn't
2020 (engelsk)Inngår i: Psicothema (Oviedo), ISSN 0214-9915, E-ISSN 1886-144X, Vol. 32, nr 1, s. 115-121Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Background: Analysis of interaction or moderation effects between latent variables is a common requirement in the social sciences. However, when predictors are correlated, interaction and quadratic effects become more alike. making them difficult to distinguish. As a result, when data are drawn from a quadratic population model and the analysis model specifics interactions only, misleading results may be obtained.

Method: This article addresses the consequences of different types of specification error in nonlinear structural equation models using a Monte Carlo study.

Results: Results show that fitting a model with interactions when quadratic effects are present in the population will almost certainly lead to erroneous detection of moderation effects, and that the same is true in the opposite scenario. Simultaneous estimation of interactions and quadratic effects yields correct results.

Conclusions: Simultaneous estimation of interaction and quadratic effects prevents detection of spurious or misleading nonlinear effects. Results are discussed and recommendations are offered to applied researchers.

sted, utgiver, år, opplag, sider
COLEGIO OFICIAL DE PSICOLOGOS DE ASTURIAS, 2020
Emneord
Nonlinear structural equations, moderation, interaction effects, quadratic effects, model specification
HSV kategori
Identifikatorer
urn:nbn:se:uu:diva-404695 (URN)10.7334/psicothema2019.235 (DOI)000507856600015 ()31954424 (PubMedID)
Tilgjengelig fra: 2020-02-27 Laget: 2020-02-27 Sist oppdatert: 2020-02-27bibliografisk kontrollert
Hedrén, A., Yang-Wallentin, F. & Sallis, J. (2019). Managing Mandated Adoption:: Pre- Deployment Attitudes And Beliefs In The Context Of Critical Care. In: Proceedings of the 27th European Conference on Information Systems (ECIS), Stockholm & Uppsala, Sweden, June 8-14, 2019: Research Papers. Paper presented at 27th European Conference on Information Systems, 8-14 June, 2019, Stockholm and Uppsala, Sweden.
Åpne denne publikasjonen i ny fane eller vindu >>Managing Mandated Adoption:: Pre- Deployment Attitudes And Beliefs In The Context Of Critical Care
2019 (engelsk)Inngår i: Proceedings of the 27th European Conference on Information Systems (ECIS), Stockholm & Uppsala, Sweden, June 8-14, 2019: Research Papers, 2019Konferansepaper, Publicerat paper (Fagfellevurdert)
Emneord
Mandated Use, Adoption, Implementation, Pre-Deployment, Attitudes, Beliefs
HSV kategori
Forskningsprogram
Informationssystem
Identifikatorer
urn:nbn:se:uu:diva-397059 (URN)978-1-7336325-0-8 (ISBN)
Konferanse
27th European Conference on Information Systems, 8-14 June, 2019, Stockholm and Uppsala, Sweden
Tilgjengelig fra: 2019-11-14 Laget: 2019-11-14 Sist oppdatert: 2020-05-20bibliografisk kontrollert
Jin, S., Moustaki, I. & Yang-Wallentin, F. (2018). Approximated penalized maximum likelihood for exploratory factor analysis: An orthogonal case. Psychometrika, 83(3), 628-649
Åpne denne publikasjonen i ny fane eller vindu >>Approximated penalized maximum likelihood for exploratory factor analysis: An orthogonal case
2018 (engelsk)Inngår i: Psychometrika, ISSN 0033-3123, E-ISSN 1860-0980, Vol. 83, nr 3, s. 628-649Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

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.

HSV kategori
Identifikatorer
urn:nbn:se:uu:diva-360038 (URN)10.1007/s11336-018-9623-z (DOI)000452377900006 ()
Forskningsfinansiär
Swedish Research Council, 2017-01175
Tilgjengelig fra: 2018-09-10 Laget: 2018-09-10 Sist oppdatert: 2019-01-21bibliografisk kontrollert
Jaensson, M., Falk-Brynhildsen, K., Gillespie, B., Yang Wallentin, F. & Nilsson, U. (2018). Psychometric Validation of the PerceivedPerioperative Competence Scale-Revised inthe Swedish Context. Journal of Perianesthesia Nursing, 3(4), 499-511
Åpne denne publikasjonen i ny fane eller vindu >>Psychometric Validation of the PerceivedPerioperative Competence Scale-Revised inthe Swedish Context
Vise andre…
2018 (engelsk)Inngår i: Journal of Perianesthesia Nursing, ISSN 1089-9472, E-ISSN 1532-8473, Vol. 3, nr 4, s. 499-511Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

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.

sted, utgiver, år, opplag, sider
Elsevier, 2018
Emneord
instrument development, nursing competence, advanced practice nursing, confirmatory factor analysi
HSV kategori
Identifikatorer
urn:nbn:se:uu:diva-338259 (URN)10.1016/j.jopan.2016.09.012 (DOI)000440398700104 ()30077294 (PubMedID)
Tilgjengelig fra: 2018-01-08 Laget: 2018-01-08 Sist oppdatert: 2019-01-03
Nilsson, U., Göras, C., Yang-Wallentin, F., Ehrenberg, A. & Unbeck, M. (2018). The Swedish Safety Attitudes Questionnaire—Operating Room Version: Psychometric Properties in the Surgical Team. Journal of Perianesthesia Nursing, 33(6), 935-945
Åpne denne publikasjonen i ny fane eller vindu >>The Swedish Safety Attitudes Questionnaire—Operating Room Version: Psychometric Properties in the Surgical Team
Vise andre…
2018 (engelsk)Inngår i: Journal of Perianesthesia Nursing, ISSN 1089-9472, E-ISSN 1532-8473, Vol. 33, nr 6, s. 935-945Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Purpose

To validate the Swedish Safety Attitudes Questionnaire–operating room (SAQ-OR) version by re-evaluating its psychometric properties for the surgical team.

Design

Cross-sectional questionnaire study.

Methods

541 surgical team members including perioperative nurses, physicians, and licensed practical nurses at three Swedish hospitals were included.

Findings

For the total sample, the Cronbach’s α for the six factors ranged from 0.51 to 0.76. Goodness-of-fit analyses indicated that the six-factor model was acceptable and the factor loadings were statistically significant. The test of the hypothesized relationships among the factors showed a correlation from 0.936 to 0.042.

Conclusions

The refined Swedish version of the SAQ-OR is a reasonably reliable and acceptably valid instrument for the measurement of patient safety climate in the surgical team. However, the results related to the different analyses varied among the different professionals and further research, using larger samples, is needed to explore these differences, especially among the physicians.

Emneord
Safety Attitudes Questionnaire, safety climate, operating room, patient safety, psychometrics, surgical team
HSV kategori
Identifikatorer
urn:nbn:se:uu:diva-338252 (URN)10.1016/j.jopan.2017.09.009 (DOI)000450368000017 ()30449442 (PubMedID)
Tilgjengelig fra: 2018-01-08 Laget: 2018-01-08 Sist oppdatert: 2019-01-22bibliografisk kontrollert
Jin, S. & Yang-Wallentin, F. (2017). Asymptotic Robustness Study Of The Polychoric Correlation Estimation. Psychometrika, 82(1), 67-85
Åpne denne publikasjonen i ny fane eller vindu >>Asymptotic Robustness Study Of The Polychoric Correlation Estimation
2017 (engelsk)Inngår i: Psychometrika, ISSN 0033-3123, E-ISSN 1860-0980, Vol. 82, nr 1, s. 67-85Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

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.

Emneord
underlying distribution, asymptotic covariance matrix, non-normality, pseudo-maximum likelihood.
HSV kategori
Forskningsprogram
Statistik
Identifikatorer
urn:nbn:se:uu:diva-316599 (URN)10.1007/s11336-016-9512-2 (DOI)000394985400004 ()27660261 (PubMedID)
Forskningsfinansiär
Swedish Research Council, 421-2011-1727
Tilgjengelig fra: 2017-03-04 Laget: 2017-03-04 Sist oppdatert: 2017-04-20bibliografisk kontrollert
Olsson, J.-E., Yang-Wallentin, F., Toth-Pal, E., Ekblad, S. & Bertilson, B. (2017). Psychometric analysis of the Swedish version of the General Medical Council's multi source feedback questionnaires. International Journal of Medical Education, 8, 252-261
Åpne denne publikasjonen i ny fane eller vindu >>Psychometric analysis of the Swedish version of the General Medical Council's multi source feedback questionnaires
Vise andre…
2017 (engelsk)Inngår i: International Journal of Medical Education, ISSN 2042-6372, E-ISSN 2042-6372, Vol. 8, s. 252-261Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Objectives: To determine the internal consistency and the underlying components of our translated and adapted Swedish version of the General Medical Council's multisource feedback questionnaires (GMC questionnaires) for physicians and to confirm which aspects of good medical practice the latent variable structure reflected.

Methods: From October 2015 to March 2016, residents in family medicine in Sweden were invited to participate in the study and to use the Swedish version to perform self-evaluations and acquire feedback from both their patients and colleagues. The validation focused on internal consistency and construct validity. Main outcome measures were Cronbach’s alpha coefficients, Principal Component Analysis, and Confirmatory Factor Analysis indices.

Results: A total of 752 completed questionnaires from patients, colleagues, and residents were analysed. Of these, 213 comprised resident self-evaluations, 336 were feedback from residents’ patients, and 203 were feedback from residents’ colleagues. Cronbach’s alpha coefficients of the scores were 0.88 from patients, 0.93 from colleagues, and 0.84 in the self-evaluations. The Confirmatory Factor Analysis validated two models that fit the data reasonably well and reflected important aspects of good medical practice. The first model had two latent factors for patient-related items concerning empathy and consultation management, and the second model had five latent factors for colleague-related items, including knowledge and skills, attitude and approach, reflection and development, teaching, and trust.

Conclusions: The current Swedish version seems to be a reliable and valid tool for formative assessment for resident physicians and their supervisors. This needs to be verified in larger samples.

Emneord
Multi source feedback questionnaires, physi-cians, assessment, factor analysis, validation
HSV kategori
Identifikatorer
urn:nbn:se:uu:diva-338240 (URN)10.5116/ijme.5948.0bb6 (DOI)000406167000001 ()28704204 (PubMedID)
Tilgjengelig fra: 2018-01-08 Laget: 2018-01-08 Sist oppdatert: 2018-09-21bibliografisk kontrollert
Bali Swain, R. & Wallentin, F. Y. (2017). The Impact of Microfinance on Factors Empowering Women: Differences in Regional and Delivery Mechanisms in India’s SHG Programme. Journal of Development Studies, 53(5), 684-699
Åpne denne publikasjonen i ny fane eller vindu >>The Impact of Microfinance on Factors Empowering Women: Differences in Regional and Delivery Mechanisms in India’s SHG Programme
2017 (engelsk)Inngår i: Journal of Development Studies, ISSN 0022-0388, E-ISSN 1743-9140, Vol. 53, nr 5, s. 684-699Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

We examine how the impact on women’s 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’s 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).

HSV kategori
Forskningsprogram
Nationalekonomi; Statistik
Identifikatorer
urn:nbn:se:uu:diva-303155 (URN)10.1080/00220388.2016.1205732 (DOI)000396821800004 ()
Tilgjengelig fra: 2016-09-15 Laget: 2016-09-15 Sist oppdatert: 2017-11-21
Jin, S., Yang-Wallentin, F. & Christoffersson, A. (2016). Asymptotic Efficiency of the Pseudo-Maximum Likelihood Estimator in Multi-Group Factor Models with Pooled Data. British Journal of Mathematical & Statistical Psychology, 69(1), 20-42
Åpne denne publikasjonen i ny fane eller vindu >>Asymptotic Efficiency of the Pseudo-Maximum Likelihood Estimator in Multi-Group Factor Models with Pooled Data
2016 (engelsk)Inngår i: British Journal of Mathematical & Statistical Psychology, ISSN 0007-1102, E-ISSN 2044-8317, Vol. 69, nr 1, s. 20-42Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

A multi-group factor model is suitable for data originating from different strata. However, it often requires a relatively large sample size to avoid numerical issues such as non-convergence and non-positive definite covariance matrices. An alternative is to pool data from different groups in which a single-group factor model is fitted to the pooled data using maximum likelihood. In this paper, properties of pseudo-maximum likelihood (PML) estimators for pooled data are studied. The pooled data are assumed to be normally distributed from a single group. The resulting asymptotic efficiency of the PML estimators of factor loadings is compared with that of the multi-group maximum likelihood estimators. The effect of pooling is investigated through a two-group factor model. The variances of factor loadings for the pooled data are underestimated under the normal theory when error variances in the smaller group are larger. Underestimation is due to dependence between the pooled factors and pooled error terms. Small-sample properties of the PML estimators are also investigated using a Monte Carlo study.

Emneord
sandwich estimator; robustness; normal theory; measurement invariance
HSV kategori
Identifikatorer
urn:nbn:se:uu:diva-247289 (URN)10.1111/bmsp.12056 (DOI)000368697000002 ()
Forskningsfinansiär
Swedish Research Council, 421-2011-1712
Tilgjengelig fra: 2015-03-17 Laget: 2015-03-17 Sist oppdatert: 2017-12-04bibliografisk kontrollert
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