The Experts below are selected from a list of 38127 Experts worldwide ranked by ideXlab platform
Wim Noortgate - One of the best experts on this subject based on the ideXlab platform.
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MultiSCED: A tool for (meta-)analyzing single-case experimental data with Multilevel Modeling
Behavior Research Methods, 2019Co-Authors: Lies Declercq, Wilfried Cools, Mariola Moeyaert, S. Natasha Beretvas, John M Ferron, Wim NoortgateAbstract:The MultiSCED web application has been developed to assist applied researchers in behavioral sciences to apply Multilevel Modeling to quantitatively summarize single-case experimental design (SCED) studies through a user-friendly point-and-click interface embedded within R. In this paper, we offer a brief introduction to the application, explaining how to define and estimate the relevant Multilevel models and how to interpret the results numerically and graphically. The use of the application is illustrated through a re-analysis of an existing meta-analytic dataset. By guiding applied researchers through MultiSCED, we aim to make use of the Multilevel Modeling technique for combining SCED data across cases and across studies more comprehensible and accessible.
Lies Declercq - One of the best experts on this subject based on the ideXlab platform.
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MultiSCED: A tool for (meta-)analyzing single-case experimental data with Multilevel Modeling
Behavior Research Methods, 2019Co-Authors: Lies Declercq, Wilfried Cools, Mariola Moeyaert, S. Natasha Beretvas, John M Ferron, Wim NoortgateAbstract:The MultiSCED web application has been developed to assist applied researchers in behavioral sciences to apply Multilevel Modeling to quantitatively summarize single-case experimental design (SCED) studies through a user-friendly point-and-click interface embedded within R. In this paper, we offer a brief introduction to the application, explaining how to define and estimate the relevant Multilevel models and how to interpret the results numerically and graphically. The use of the application is illustrated through a re-analysis of an existing meta-analytic dataset. By guiding applied researchers through MultiSCED, we aim to make use of the Multilevel Modeling technique for combining SCED data across cases and across studies more comprehensible and accessible.
Mariola Moeyaert - One of the best experts on this subject based on the ideXlab platform.
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MultiSCED: A tool for (meta-)analyzing single-case experimental data with Multilevel Modeling
Behavior Research Methods, 2019Co-Authors: Lies Declercq, Wilfried Cools, Mariola Moeyaert, S. Natasha Beretvas, John M Ferron, Wim NoortgateAbstract:The MultiSCED web application has been developed to assist applied researchers in behavioral sciences to apply Multilevel Modeling to quantitatively summarize single-case experimental design (SCED) studies through a user-friendly point-and-click interface embedded within R. In this paper, we offer a brief introduction to the application, explaining how to define and estimate the relevant Multilevel models and how to interpret the results numerically and graphically. The use of the application is illustrated through a re-analysis of an existing meta-analytic dataset. By guiding applied researchers through MultiSCED, we aim to make use of the Multilevel Modeling technique for combining SCED data across cases and across studies more comprehensible and accessible.
Wilfried Cools - One of the best experts on this subject based on the ideXlab platform.
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MultiSCED: A tool for (meta-)analyzing single-case experimental data with Multilevel Modeling
Behavior Research Methods, 2019Co-Authors: Lies Declercq, Wilfried Cools, Mariola Moeyaert, S. Natasha Beretvas, John M Ferron, Wim NoortgateAbstract:The MultiSCED web application has been developed to assist applied researchers in behavioral sciences to apply Multilevel Modeling to quantitatively summarize single-case experimental design (SCED) studies through a user-friendly point-and-click interface embedded within R. In this paper, we offer a brief introduction to the application, explaining how to define and estimate the relevant Multilevel models and how to interpret the results numerically and graphically. The use of the application is illustrated through a re-analysis of an existing meta-analytic dataset. By guiding applied researchers through MultiSCED, we aim to make use of the Multilevel Modeling technique for combining SCED data across cases and across studies more comprehensible and accessible.
S. Natasha Beretvas - One of the best experts on this subject based on the ideXlab platform.
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MultiSCED: A tool for (meta-)analyzing single-case experimental data with Multilevel Modeling
Behavior Research Methods, 2019Co-Authors: Lies Declercq, Wilfried Cools, Mariola Moeyaert, S. Natasha Beretvas, John M Ferron, Wim NoortgateAbstract:The MultiSCED web application has been developed to assist applied researchers in behavioral sciences to apply Multilevel Modeling to quantitatively summarize single-case experimental design (SCED) studies through a user-friendly point-and-click interface embedded within R. In this paper, we offer a brief introduction to the application, explaining how to define and estimate the relevant Multilevel models and how to interpret the results numerically and graphically. The use of the application is illustrated through a re-analysis of an existing meta-analytic dataset. By guiding applied researchers through MultiSCED, we aim to make use of the Multilevel Modeling technique for combining SCED data across cases and across studies more comprehensible and accessible.
