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Yang-Wallentin, Fan
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Publications (10 of 24) Show all publications
Rdz-Navarro, K. & Yang-Wallentin, F. (2020). Specification issues in nonlinear SEM: The moderation that wasn't. Psicothema (Oviedo), 32(1), 115-121
Open this publication in new window or tab >>Specification issues in nonlinear SEM: The moderation that wasn't
2020 (English)In: Psicothema (Oviedo), ISSN 0214-9915, E-ISSN 1886-144X, Vol. 32, no 1, p. 115-121Article in journal (Refereed) 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.

Place, publisher, year, edition, pages
COLEGIO OFICIAL DE PSICOLOGOS DE ASTURIAS, 2020
Keywords
Nonlinear structural equations, moderation, interaction effects, quadratic effects, model specification
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:uu:diva-404695 (URN)10.7334/psicothema2019.235 (DOI)000507856600015 ()31954424 (PubMedID)
Available from: 2020-02-27 Created: 2020-02-27 Last updated: 2020-02-27Bibliographically approved
Jin, S., Moustaki, I. & Yang-Wallentin, F. (2018). Approximated penalized maximum likelihood for exploratory factor analysis: An orthogonal case. Psychometrika, 83(3), 628-649
Open this publication in new window or tab >>Approximated penalized maximum likelihood for exploratory factor analysis: An orthogonal case
2018 (English)In: Psychometrika, ISSN 0033-3123, E-ISSN 1860-0980, Vol. 83, no 3, p. 628-649Article in journal (Refereed) 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.

National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:uu:diva-360038 (URN)10.1007/s11336-018-9623-z (DOI)000452377900006 ()
Funder
Swedish Research Council, 2017-01175
Available from: 2018-09-10 Created: 2018-09-10 Last updated: 2019-01-21Bibliographically approved
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
Open this publication in new window or tab >>Psychometric Validation of the PerceivedPerioperative Competence Scale-Revised inthe Swedish Context
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2018 (English)In: Journal of Perianesthesia Nursing, ISSN 1089-9472, E-ISSN 1532-8473, Vol. 3, no 4, p. 499-511Article in journal (Refereed) 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.

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
instrument development, nursing competence, advanced practice nursing, confirmatory factor analysi
National Category
Nursing
Identifiers
urn:nbn:se:uu:diva-338259 (URN)10.1016/j.jopan.2016.09.012 (DOI)000440398700104 ()30077294 (PubMedID)
Available from: 2018-01-08 Created: 2018-01-08 Last updated: 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
Open this publication in new window or tab >>The Swedish Safety Attitudes Questionnaire—Operating Room Version: Psychometric Properties in the Surgical Team
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2018 (English)In: Journal of Perianesthesia Nursing, ISSN 1089-9472, E-ISSN 1532-8473, Vol. 33, no 6, p. 935-945Article in journal (Refereed) 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.

Keywords
Safety Attitudes Questionnaire, safety climate, operating room, patient safety, psychometrics, surgical team
National Category
Nursing Anesthesiology and Intensive Care
Identifiers
urn:nbn:se:uu:diva-338252 (URN)10.1016/j.jopan.2017.09.009 (DOI)000450368000017 ()30449442 (PubMedID)
Available from: 2018-01-08 Created: 2018-01-08 Last updated: 2019-01-22Bibliographically approved
Jin, S. & Yang-Wallentin, F. (2017). Asymptotic Robustness Study Of The Polychoric Correlation Estimation. Psychometrika, 82(1), 67-85
Open this publication in new window or tab >>Asymptotic Robustness Study Of The Polychoric Correlation Estimation
2017 (English)In: Psychometrika, ISSN 0033-3123, E-ISSN 1860-0980, Vol. 82, no 1, p. 67-85Article in journal (Refereed) 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.

Keywords
underlying distribution, asymptotic covariance matrix, non-normality, pseudo-maximum likelihood.
National Category
Mathematics Psychology
Research subject
Statistics
Identifiers
urn:nbn:se:uu:diva-316599 (URN)10.1007/s11336-016-9512-2 (DOI)000394985400004 ()27660261 (PubMedID)
Funder
Swedish Research Council, 421-2011-1727
Available from: 2017-03-04 Created: 2017-03-04 Last updated: 2017-04-20Bibliographically approved
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
Open this publication in new window or tab >>Psychometric analysis of the Swedish version of the General Medical Council's multi source feedback questionnaires
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2017 (English)In: International Journal of Medical Education, ISSN 2042-6372, E-ISSN 2042-6372, Vol. 8, p. 252-261Article in journal (Refereed) 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.

Keywords
Multi source feedback questionnaires, physi-cians, assessment, factor analysis, validation
National Category
General Practice Educational Sciences
Identifiers
urn:nbn:se:uu:diva-338240 (URN)10.5116/ijme.5948.0bb6 (DOI)000406167000001 ()28704204 (PubMedID)
Available from: 2018-01-08 Created: 2018-01-08 Last updated: 2018-09-21Bibliographically approved
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
Open this publication in new window or tab >>The Impact of Microfinance on Factors Empowering Women: Differences in Regional and Delivery Mechanisms in India’s SHG Programme
2017 (English)In: Journal of Development Studies, ISSN 0022-0388, E-ISSN 1743-9140, Vol. 53, no 5, p. 684-699Article in journal (Refereed) 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).

National Category
Economics and Business Economics
Research subject
Economics; Statistics
Identifiers
urn:nbn:se:uu:diva-303155 (URN)10.1080/00220388.2016.1205732 (DOI)000396821800004 ()
Available from: 2016-09-15 Created: 2016-09-15 Last updated: 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
Open this publication in new window or tab >>Asymptotic Efficiency of the Pseudo-Maximum Likelihood Estimator in Multi-Group Factor Models with Pooled Data
2016 (English)In: British Journal of Mathematical & Statistical Psychology, ISSN 0007-1102, E-ISSN 2044-8317, Vol. 69, no 1, p. 20-42Article in journal (Refereed) 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.

Keywords
sandwich estimator; robustness; normal theory; measurement invariance
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:uu:diva-247289 (URN)10.1111/bmsp.12056 (DOI)000368697000002 ()
Funder
Swedish Research Council, 421-2011-1712
Available from: 2015-03-17 Created: 2015-03-17 Last updated: 2017-12-04Bibliographically approved
Kreiberg, D., Söderström, T. & Yang-Wallentin, F. (2016). Errors-in-variables system identification using structural equation modeling. Automatica, 66, 218-230
Open this publication in new window or tab >>Errors-in-variables system identification using structural equation modeling
2016 (English)In: Automatica, ISSN 0005-1098, E-ISSN 1873-2836, Vol. 66, p. 218-230Article in journal (Refereed) Published
Abstract [en]

Errors-in-variables (EIV) identification refers to the problem of consistently estimating linear dynamic systems whose output and input variables are affected by additive noise. Various solutions have been presented for identifying such systems. In this study, EIV identification using Structural Equation Modeling (SEM) is considered. Two schemes for how EIV Single-Input Single-Output (SISO) systems can be formulated as SEMs are presented. The proposed formulations allow for quick implementation using standard SEM software. By simulation examples, it is shown that compared to existing procedures, here represented by the covariance matching (CM) approach, SEM-based estimation provide parameter estimates of similar quality.

Keywords
System identification; Errors-in-variables models; Linear systems; Structural equation models
National Category
Control Engineering
Research subject
Statistics
Identifiers
urn:nbn:se:uu:diva-277383 (URN)10.1016/j.automatica.2015.12.007 (DOI)000371099300025 ()
Funder
Swedish Research Council, 421-2011-1727
Available from: 2016-01-25 Created: 2016-02-19 Last updated: 2017-11-30Bibliographically approved
Lundgren, B. A. & Yang-Wallentin, F. (2016). Measuring unobservable factors in residential developments: a structural equation approach. Journal of European Real Estate Research, 9(3), 250-272
Open this publication in new window or tab >>Measuring unobservable factors in residential developments: a structural equation approach
2016 (English)In: Journal of European Real Estate Research, ISSN 1753-9269, E-ISSN 1753-9277, Vol. 9, no 3, p. 250-272Article in journal (Refereed) Published
Abstract [en]

Purpose – The purpose of this paper is to investigate how to measure the effect of unobservable factors on residential choice behavior in an attempt to advance the understanding of how to perform advanced market analysis. This research is important to residential developers, as the diversity of preferences is increasingly driven by lifestyle-based households and affluent households.

Design/methodology/approach – Information about the pros and cons of renting an apartment in

an ongoing residential development project in Stockholm came from interviews using the laddering technique. Qualitative data were subsequently analyzed using exploratory and confirmatory factor analysis to confirm which factors had the highest effect on an overall assessment of living in the development and a value-for-money conclusion.

Findings – Among the potentially important factors identified, respondents who became residents perceived the development to be more noise-free than those who did not when stating the overall value of living in the development and making a value-for-money conclusion. The perception of noise differed between the two groups, meaning that those who did not become residents believed the development to be more exposed to noise. The standard of the apartment was the second most influential factor when stating the overall value of living in the development and making a value-for-money conclusion. The belief of being able to relax in the home environment had no significant effect on overall value for either group.

Originality/value – The results show that confirmatory factor analysis can be used in measuring the effect of unobservable factors in residential choice behavior. The methodology presented may advise developers, architects or planners in evaluating those attributes that create value-for-money to improve, for example, overall design solutions in urban development projects.

Place, publisher, year, edition, pages
Bingley, West Yorkshire: , 2016
Keywords
Market analysis, Structural equation modelling, Laddering technique
National Category
Business Administration
Research subject
Business Studies; Statistics
Identifiers
urn:nbn:se:uu:diva-306934 (URN)10.1108/JERER-12-2015-0046 (DOI)000394388000004 ()
Funder
Swedish Research Council Formas
Available from: 2016-11-06 Created: 2016-11-06 Last updated: 2017-11-29Bibliographically approved
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