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Although national monitoring has been designed primarily to present an overall national picture of student achievement, there is some provision for reporting on performance differences among subgroups of the sample. Nine demographic variables are available for creating subgroups, with students divided into two or three subgroups on each variable, as detailed in About NEMP. The analyses of the relative performance of subgroups used an overall score for each task, created by adding scores for the most important components of the task. Where only two subgroups were compared, differences in task performance between the two subgroups were checked for statistical significance using t-tests. Where three subgroups were compared, one way analysis of variance was used to check for statistically significant differences among the three subgroups. Because the number of students included in each analysis was quite large (approximately 450), the statistical tests were quite sensitive to small differences. To reduce the likelihood of attention being drawn to unimportant differences, the critical level for statistical significance was set at p = .01 (so that differences this large or larger among the subgroups would not be expected by chance in more than one percent of cases). The critical level was adjusted to p = .05 for the ten tasks where differences in team performance among 120 teams were being examined. For the first three of the nine demographic variables, few statistically significant differences among the subgroups were found. For the remaining six variables, statistically significant differences were found on substantial numbers of tasks. Details are presented below. Community
Size For year 4 students, there were no statistically significant differences among the three subgroups on the nineteen tasks, or on questions of the Social Studies Survey. For year 8 students, there were statistically significant differences among the three subgroups on three of the twenty-six tasks. Students from main centres scored highest on Refugees, Knowing the World, and Link Task 10. Students from rural areas scored lowest on Refugees and Knowing the World. There was also a statistically significant difference on one question of the Social Studies Survey : Students from provincial towns scored lowest in enthusiasm for learning or doing more social studies as they got older (question 1). School
Size School
Type Zone For year 4 students, there was a statistically significant difference among the three subgroups on only one of the nineteen tasks. Students from Auckland scored lowest and students from the South Island scored highest on The Map. There were no statistically significant differences on questions of the Social Studies Survey. For year 8 students, there were statistically significant differences among the three subgroups on six of the twenty-six tasks. Students from the South Island scored highest on all of these tasks, which featured a substantial focus on factual knowledge: Parliament, Link Task 6, The Map, Knowing the World, Link Task 8, and Link Task 12 . There was also a statistically significant difference on one question of the Social Studies Survey : Students from the South Island were lowest, and students from Auckland highest, in enthusiasm for learning or doing more social studies as they got older (question 1). Gender For year 4 students, there were statistically significant differences between boys and girls on two of the fourteen tasks. Boys scored higher than girls on The Map and Where in the World, two tasks involving maps. There were no statistically significant differences between boys and girls on questions of the Social Studies Survey. For year 8 students, there were statistically significant differences between boys and girls on nine of the nineteen tasks. Girls scored higher than boys in three tasks: Drinking Fountain, New Zealand's Flag, and Link Task 7. On the other hand, boys scored higher than girls on six tasks from Chapter 6 (Knowledge): The Map, Charting the Journey, Where in the World, Landscapes, Link Task 8, and Link Task 12. There were no statistically significant differences between boys and girls on questions of the Social Studies Survey. Socio-Economic
Index For year 4 students, there were statistically significant differences among the three subgroups on ten of the nineteen tasks. Because of the number of tasks involved, the specific tasks will not be listed here. They included tasks in all content areas. In all except one case performance was lowest for students in the low SES group (the exception was Link Task 2, on which students from medium SES schools scored lowest). Students in the high SES group generally performed better than students in the medium SES group, but in most cases these differences were small. There were also statistically significant difference on two questions of the Social Studies Survey, with students from low SES schools reporting greater enjoyment of social studies at school (question 2) and greater enthusiasm for learning or doing more social studies as they got older (question 1). For year 8 students, there were statistically significant differences among the three subgroups on nineteen of the twenty-six tasks. Because of the number of tasks involved, the specific tasks will not be listed here. In each case, performance was lowest for students in the low SES group. In most cases, students in the high SES group also performed better than students in the medium SES group. On the Social Studies Survey, there was a statistically significant difference on one question: students from low SES schools felt that they learned more social studies at school (question 3). This contrasts with the lower actual performance on tasks. Student
Ethnicity For year 8 students, there were statistically significant differences in the performance of Mäori and non-Mäori students on fourteen of the nineteen tasks. On thirteen of these tasks, non-Mäori students scored higher than Mäori students. Because of the number of tasks involved, those specific tasks will not be listed here. The notable exception was that Mäori students scored higher than non-Mäori students on Marae. There were no statistically significant differences between Mäori and non-Mäori students on questions of the Social Studies Survey. Proportion
of Mäori Students in Schools For year 4 students, statistically significant differences in performance between the three subgroups were found on six of the nineteen tasks. In each case, students attending schools with less than ten percent Mäori students scored highest and students attending schools with more than thirty percent of Mäori students scored lowest. Because of the number of tasks involved, and their spread across four chapters, the specific tasks will not be listed here. There were also statistically significant differences on three questions of the Social Studies Survey. Students in schools with higher proportions of Mäori students reported greater enjoyment of studying social studies at school (question 2), greater frequencies of their class doing really good things in social studies (question 5), and greater enthusiasm for learning or doing more social studies as they got older (question 1). For year 8 students, statistically significant differences in performance between the three subgroups were found on seventeen of the twenty-six tasks. On sixteen tasks, students attending schools with less than ten percent Mäori students scored highest, and students attending schools with more than thirty percent of Mäori students scored lowest. Because of the number of tasks involved, those specific tasks will not be listed here. The notable exception to the trend was that students attending schools with more than 30 percent Mäori students scored highest on Marae. There were no statistically significant differences on questions of the Social Studies Survey. Proportion
of Pacific Island Students in Schools Summary |
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