Do I need to code the reverse questions ?
In my research, I tested child-centered practices and teacher-centered practices. For example, in child-centered practices, the item is "Teacher has clear but somewhat flexible classroom rules and rountines" but in teacher-centered practices the item is "Teacher has clearly communicated expectations and classroom rules that are rigidly adhere to". So I think according to the question and concept nature, if the respondent used the child-centered, his rating will be high in child-centered but in low in teacher/centered, in this situation, to analyze the data, do I need to code the reverse the teacher-centered practices?
I appreciate all of your recommendations .
Thanks in advance.
Please give me suggestions .
Hi @Than Than Aye
I think you can use a fuzzy multi-criteria / multi-objective decision-making method to analyze the variables and parameters of your problem.
Good luck
Majid Jangizehi Thank you Sir.
I am confusing. When I analyze the reliability of the instrument, the value is minus. Does it make sense? How can I show the reliability coefficient? As my research question, I use separately teacher-centered and child-centered.
I think yes because questionnaire items can be worded 'backward'. For example, both these questions might be used to measure the same underlying construct or hidden cause. However, if we used the same response scale for each participants' responses would cancel out.
Isam Alkhalifawi Thank you . I appreciate your comment. Please can I analyze separately without canceling out? I mean I will have two models for teacher-centered practices and child-centered practices.
Dear Dr Than Than Aye. You can analyze each group separately, however this does not necessarily means exactly reversing your questions. The objectives and scopes may be different.
I would like to say a big YES : see e.g., https://www.oecd.org/berlin/43541655.pdfConference Paper Transformation: From Teacher-Centered to Student-Centered En...
Salman Ajlan Thanks a million for your suggestions. It makes my research.
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