Data from an eye-tracking based study of solution strategies in similar mathematical and physical tasks

Eye-tracking data: The .nas file "ET_data" contains the eyetracking project in software tobii studio with gaze data of all 131 participants.<br> To open this project, the software tobii studio is required. ----------------------------------------<br> Interview data: All .txt files contain transcribed interview data in German language. <br> The files are labeled by subject number (e.g., P01 for the first participant) and the item for which the interview was recorded (e.g., M8).<br> The files contain interview data of participants explaining their solution strategy for the given item. ----------------------------------------<br> Descriptive data: The file descriptive_data.csv contains the descriptive data of all participants (N=131).<br> The column labels are as follows: code: code of participant, p01-p131 <br> survey_period: survey period, summer_2021 / autumn_2020 / spring_2020<br> age: age of participant in years <br> grade: grade of participant <br> gen: gender, male (m) / female (f) / diverse (d) <br> ger_nat_speak: German native speaker, yes / no <br> repeater: Repeater of the last grade?, yes / no<br> math_course: basic course (basic) or advanced course (advanced) in mathematics<br> physics_course: basic course (basic) or advanced course (advanced) in physics<br> grade_math: last grade in mathematics, 1-6 <br> grade_phy: last grade mark in physics, 1-6 <br> grade_ger: last report mark in german, 1-6 <br> glasses: wearer of glasses?, yes / no<br> motivation: four-point lickert scale, very motivated (1) to not motivated at all (0) <br> test: physics tasks before math tasks (pm) or vice versa (mp) <br> For each test item 2 columns are created. Example Item k1:<br> ac_k1: answer correctness of item k1, not correct and/or guessed (0), correct (1). <br> cf_k1: confidence of item k1, four-point lickert scale, very confident (1) to guessed (0)