Accounting for complexity in critical realist trials: the promise of PLS-SEM
Authors: Singleton, H., Porter, S., Beavis, J., Falconer, L., Hernandez, J.P. and Holley, D.
Journal: Journal of Critical Realism
Volume: 22
Issue: 3
Pages: 384-403
eISSN: 1572-5138
ISSN: 1476-7430
DOI: 10.1080/14767430.2023.2217652
Abstract:Background: Randomized controlled trials have been criticized for their inability to identify and differentiate the causal mechanisms that generate the outcomes they measure. One solution is the development of realist trials that combine the empirical precision of trials' outcome data with realism's theoretical capacity to identify the powers that generate outcomes. Main Body: We review arguments for and against this position and conclude that critical realist trials are viable. Using the example of an evaluation of the educational effectiveness of virtual reality simulation, we explore whether Partial Least Squares Structural Equation Modelling can move statistical analysis beyond correlational analysis to support realist identification of the mechanisms that generate correlations. Conclusion: We tentatively conclude that PLS-SEM, with its ability to identify ‘points of action’, has the potential to provide direction for researchers and practitioners in terms of how, for whom, when, where and in what circumstances an intervention has worked.
https://eprints.bournemouth.ac.uk/38566/
Source: Scopus
Accounting for complexity in critical realist trials: the promise of PLS-SEM
Authors: Singleton, H., Porter, S., Beavis, J., Falconer, L., Hernandez, J.P. and Holley, D.
Journal: JOURNAL OF CRITICAL REALISM
Volume: 22
Issue: 3
Pages: 384-403
eISSN: 1572-5138
ISSN: 1476-7430
DOI: 10.1080/14767430.2023.2217652
https://eprints.bournemouth.ac.uk/38566/
Source: Web of Science (Lite)
Accounting for complexity in critical realist trials: the promise of PLS-SEM
Authors: Singleton, H., Porter, S., Beavis, J., Falconer, E., Priego Hernandez, J. and Holley, D.
Journal: Journal of Critical Realism (Brill)
Publisher: Taylor & Francis
ISSN: 1476-7430
Abstract:Background : Randomized controlled trials have been criticized for their inability to identify and differentiate the causal mechanisms that generate the outcomes they measure. One posited solution is the development of realist trials that combine the empirical precision of trials’ outcome data with realism’s theoretical capacity to identify the powers that generate outcomes.
Main Body : We review realist arguments for and against this position and conclude that critical realist trials are viable. Using the example of an evaluation of the educational effectiveness of virtual reality simulation, we explore whether Partial Least Squares Structural Equation Modelling can move statistical analysis beyond correlational analysis to support realist identification of the mechanisms that generate correlations.
Conclusion: We tentatively conclude that PLS-SEM, with its ability to identify ‘points of action’, has the potential to provide direction for researchers and practitioners in terms of how, for whom, when, where and in what circumstances an intervention has worked.
https://eprints.bournemouth.ac.uk/38566/
Source: Manual
Accounting for complexity in critical realist trials: the promise of PLS-SEM
Authors: Singleton, H., Porter, S., Beavis, J., Falconer, E., Priego Hernandez, J. and Holley, D.
Journal: Journal of Critical Realism
Volume: 22
Issue: 3
Pages: 384-403
Publisher: Taylor & Francis
ISSN: 1476-7430
Abstract:Background : Randomized controlled trials have been criticized for their inability to identify and differentiate the causal mechanisms that generate the outcomes they measure. One posited solution is the development of realist trials that combine the empirical precision of trials’ outcome data with realism’s theoretical capacity to identify the powers that generate outcomes.
Main Body : We review realist arguments for and against this position and conclude that critical realist trials are viable. Using the example of an evaluation of the educational effectiveness of virtual reality simulation, we explore whether Partial Least Squares Structural Equation Modelling can move statistical analysis beyond correlational analysis to support realist identification of the mechanisms that generate correlations.
Conclusion: We tentatively conclude that PLS-SEM, with its ability to identify ‘points of action’, has the potential to provide direction for researchers and practitioners in terms of how, for whom, when, where and in what circumstances an intervention has worked.
https://eprints.bournemouth.ac.uk/38566/
Source: BURO EPrints