Abstract
This study draws on the understanding that when the correlation between variables is not known yet the non-linear expectation in the correlation between the variables is present, non-linear measurement tools can be used. In education, possibility measurement tools can be used for non-linear measurement. Multiple-choice possibility measurement tools (MCPMT) can be prepared similarly to conventional multiple-choice measurement tools (CMCMT) utilized in quantitative measurements. In comparison with CMCMT, both more qualified measurements and more qualified evaluations can be carried out via possibility measurement tools; therefore, the preparation techniques of MCPMT, which is one possibility measurement tool, which can be used in information-centered and learner-centered measurements, are set forth in this study. MCPMT can resolve the problem of CMCMT in terms of the measurement of different variables with multiple options in one item. Additionally, the correlation between the variables can be determined by evaluating data obtained via MCPMT by means of two different new methods. Key word: Multiple-choice measurement tool (MCMT), multiple-choice possibility measurement tool (MCPMT), item techniques (IT), option technique (OT).  
Highlights
The measurement tool to be prepared via this technique will be termed as the sole internal variable option technique multiple-choice possibility measurement tool OTMCPMT
Internal variable OT: The measurement tool preparation technique which is performed by using the preparation principles for internal variable option Multiple-choice possibility measurement tools (MCPMT) in the simultaneous measurement of the multiple internal variables’ or singular internal variable’s effect to each other will be termed as the internal variable OT
By means of MCPMT with the item techniques (IT), the measurement of an external variable can be carried out, and the correlation between the variables can be determined by measuring the different external variables simultaneously
Summary
Science Education, Faculty of Education, Sakarya University, Turkey. This study draws on the understanding that when the correlation between variables is not known yet the non-linear expectation in the correlation between the variables is present, non-linear measurement tools can be used. Possibility measurement tools can be used for non-linear measurement. Multiple-choice possibility measurement tools (MCPMT) can be prepared to conventional multiple-choice measurement tools (CMCMT) utilized in quantitative measurements. In comparison with CMCMT, both more qualified measurements and more qualified evaluations can be carried out via possibility measurement tools; the preparation techniques of MCPMT, which is one possibility measurement tool, which can be used in information-centered and learner-centered measurements, are set forth in this study. MCPMT can resolve the problem of CMCMT in terms of the measurement of different variables with multiple options in one item. The correlation between the variables can be determined by evaluating data obtained via MCPMT by means of two different new methods. Key word: Multiple-choice measurement tool (MCMT), multiple-choice possibility measurement tool (MCPMT), item techniques (IT), option technique (OT)
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