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