Can the results of ordinal data (data obtained from Likert scales) be processed using PROCESS analysis, especially the mediation moderation model in model 7?
That depends on the variable. In PROCESS there is an option for multicategorical data for the IV and the MOD, not for MED and DV, if you have a single Likert item that you treat as ordinal (a Likert scale made up of a couple of Likert items can be seen as on an interval scale, so that is not problematic).
@@RegorzStatistik Thank you for your response. The research variables I am using are childhood trauma (X), malevolent creativity behavior (Y), aggressive behavior (M), and resilience (W). All instruments use a Likert scale. There is a question from another statistician about whether the PROCESS model, which uses a moderation-mediation (multiple regression) approach, requires interval data for analysis, while the data generated from the Likert scale is ordinal and cannot be further processed.
@@RegorzStatistik Thank you for your attention and response. I truly appreciate it. I am still quite new to research, especially at the master’s level, where more complex analytical techniques are involved. I have also read various journals and other literature regarding differing opinions on analyzing ordinal versus interval data. It seems that some statisticians are against using regression or multiple regression approaches to analyze ordinal data obtained from Likert scales, even when assumption tests (independence, linearity, homoscedasticity, multicollinearity, and normality) have been conducted. I would also like to hear your opinion regarding other studies I have encountered, which suggest an additional process of transforming ordinal data into interval data using approaches like MSI or Z-scores to enable analysis using Hayes’ PROCESS model, which is based on regression and multiple regression. What are your thoughts on this approach? To be honest, the differences and debates around data transformation and the analysis of ordinal versus interval data using Hayes’ PROCESS model have left me quite confused. Thank you so much for taking the time to share your thoughts and insights.
@@bagusadi1277 You can find my thoughts about this topic here: ruclips.net/video/rFvSQIQ0Yis/видео.html In general, I would look at your are of research and the published papers there. How do they treat Likert items or Likert scales?
Thank you so much!!!
Can the results of ordinal data (data obtained from Likert scales) be processed using PROCESS analysis, especially the mediation moderation model in model 7?
That depends on the variable. In PROCESS there is an option for multicategorical data for the IV and the MOD, not for MED and DV, if you have a single Likert item that you treat as ordinal (a Likert scale made up of a couple of Likert items can be seen as on an interval scale, so that is not problematic).
@@RegorzStatistik Thank you for your response. The research variables I am using are childhood trauma (X), malevolent creativity behavior (Y), aggressive behavior (M), and resilience (W). All instruments use a Likert scale. There is a question from another statistician about whether the PROCESS model, which uses a moderation-mediation (multiple regression) approach, requires interval data for analysis, while the data generated from the Likert scale is ordinal and cannot be further processed.
@@bagusadi1277 PROCESS is based on regressions and has the same requirements as multiple regression.
@@RegorzStatistik Thank you for your attention and response. I truly appreciate it.
I am still quite new to research, especially at the master’s level, where more complex analytical techniques are involved. I have also read various journals and other literature regarding differing opinions on analyzing ordinal versus interval data. It seems that some statisticians are against using regression or multiple regression approaches to analyze ordinal data obtained from Likert scales, even when assumption tests (independence, linearity, homoscedasticity, multicollinearity, and normality) have been conducted.
I would also like to hear your opinion regarding other studies I have encountered, which suggest an additional process of transforming ordinal data into interval data using approaches like MSI or Z-scores to enable analysis using Hayes’ PROCESS model, which is based on regression and multiple regression. What are your thoughts on this approach?
To be honest, the differences and debates around data transformation and the analysis of ordinal versus interval data using Hayes’ PROCESS model have left me quite confused.
Thank you so much for taking the time to share your thoughts and insights.
@@bagusadi1277 You can find my thoughts about this topic here:
ruclips.net/video/rFvSQIQ0Yis/видео.html
In general, I would look at your are of research and the published papers there. How do they treat Likert items or Likert scales?