NMST539 | Lab Test No.2LS 2017 | Tuesday 23/05/2017Data descriptionThe data file contains results on a geography questionaire in primary schools in the Czech Republic and Slovakia taking place in 2015. The questionaire was designed to test the geographical knowledge of students and their skill to read in geographical maps. To be more specific, the test compares the skill of students from three different grades (formally 11 years old students denoted as grade11, 15 years students denoted as grade15, and 18 years old students denoted as grade18). Each student was asked to answer 21 geographical questions while each question was a multiple type question with set of multiple answers which were provided in the test. Each student was supposed to select the right answer(s) (it was possible that more than just one answer was correct). The questions in the test were carefully designed as follows: the first seven questions in the test should be easily answered by all grade students (in general, the knowledge of the 11 “years” old students was required). The next set of questions, questions 8-14, where more difficult, and they were assumed to be correctly answered by the 15 “years” old (grade) students (but they should be also able to correctly answer the easier set of questions). Finaly, the last set of questions, questions 15-21, were meant test the skills of the oldest students - the 18 “years” old (grade) students. However, each student had to answer all 21 questions (the first grade students were just assumed to have enought knowledge to correctly answer questions 1-7, the second grade students were assumed to have enough knowledge to be able to answer questions 1-14, and finaly, the third grade students should be educated enough to answer all 21 questions properly). In the given dataset there is only some partial information on each student’s performance provided: the overal percentual gain from the first set of questions (covariate The dataset contains 2048 observations (individual students) and 14 different covariates. A detailed description of all covariates is provided below.
The corresponding data file can be loaded into the R working environment by running the following command:
Questions and task for the individual work
End of the individual workTechnical details and final instructions
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