Open AccessAn analysis of students’ mathematical reasoning ability in statistic problem solving based on structure of the observed learning outcome taxonomy
Author(s) -
Ratnah Lestary,
Subanji Subanji,
Rustanto Rahardi
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1320/1/012055
Subject(s) - taxonomy (biology) , statistic , mathematics education , test (biology) , descriptive statistics , outcome (game theory) , psychology , qualitative research , statistics , computer science , management science , mathematics , engineering , biology , social science , sociology , mathematical economics , paleontology , botany
This research was done to describe students’ ability toward mathematical reasoning in solving statistics test within mean material based on structure of the observed learning outcome (SOLO) taxonomy. There were two participants in this research who have the highest score and the average score. This research was used descriptive qualitative. The collecting data in this research were got from students’ answer sheets and interview. Each question in the test was made based on the indicator in stages of SOLO taxonomy. The interview guidelines used in this test was adapted from the list of questions in Newman analysis procedure. The collected data were analyzed by using qualitative analysis technique, particularly the model of interactive analysis technique. The result shows that the high achiever student stands in the extended abstract stage in SOLO taxonomy when solving the statistics test within mean material, meanwhile the other student belongs to the multi-structural stage of SOLO taxonomy when solving the question about mean.