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.
Seven demographic variables are available for creating subgroups, with
students divided into two or three subgroups on each variable, as detailed
in Key Features, page 4.
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). For
team tasks, the critical level was raised to p = .05, because of the smaller
sample size (120 teams, rather than about 450 students).
For the first three of the seven demographic variables, statistically
significant differences among the subgroups were found for less than 10
percent of the tasks at both year 4 and year 8. For the remaining four
variables, statistically significant differences were found on more than
10 percent of the tasks at one or both levels. In the report below, all
differences mentioned are statistically significant (to save
space, the words statistically significant are omitted).
School Size
Results were compared from students in larger, medium size, and small
schools (exact definitions are given in Key
Features).
For year 4 students, there were no differences among the three subgroups
on any of the twenty-one tasks, or on questions of the Information
Skills Survey.
For year 8 students, likewise, there were no differences among the three
subgroups on any of the twenty-eight tasks, or on questions of the Information
Skills Survey.
School Type
Results were compared for year 8 students attending full primary schools
and year 8 students attending intermediate schools. A difference among
the three subgroups was found on just one of the twenty-eight tasks. Students
from intermediate schools scored higher than did students from full primary
schools on Bird Mat. Intermediate
school students also gave more positive responses to two questions of
the Information Skills Survey: how often
they had to find information for a study [research topic/project] (question
1), and how often they had a really interesting study for which they
had to find information (question 2).
Community Size
Results were compared for students living in communities containing over
100,000 people (main centres), communities containing 10,000 to 100,000
people (provincial cities), and communities containing less than 10,000
people (rural areas).
For year 4 students, there were no differences among the three subgroups
on the twenty-one tasks. There was a difference on one question of the
Information Skills Survey: students
from provincial cities were most positive and students from main centres
least positive about how much they liked sharing with others the information
they found (question 6).
For year 8 students, there were differences among the three subgroups
on two of the twenty-eight tasks. Students from provincial cities scored
lowest on Disasters and
Link Task 8. There were no differences on questions of the Information
Skills Survey.
Zone
Results achieved by students from Auckland, the rest of the North Island,
and the South Island were compared.
For year 4 students, there was a difference among the three subgroups
on one of the twenty-one tasks. Students from the South Island scored
highest and students from Auckland scored lowest on Link
Task 5. There were no differences on questions of the Information
Skills Survey.
For year 8 students, there were differences among the three subgroups
on four of the twenty-eight tasks. Students from Auckland scored lowest
on Bird Mat and New
Zealand Encyclopedia, while students from the rest of the North Island
scored highest on Kiwi and Kingston
the two tasks that simulated searching the world wide web. There
were no differences on questions of the Information
Skills Survey.
Gender
Results achieved by male and female students were compared.
For year 4 students, there were no differences between boys and girls
on any of the nineteen tasks. However, boys and girls differed in their
ratings for two questions of the Information
Skills Survey. Girls expressed greater enjoyment of hunting for information
(question 4) and writing down what they
found out (question 7).
For year 8 students, there were differences between boys and girls on
seven of the twenty-five tasks. Girls scored higher than boys in all cases.
The tasks involved were: Clown Show,
Bird Mat, Link
Task 6, Link Task 8,
Chimps and Orang-utans, Worm
Farm and Link Task 9.
Boys and girls also differed in their ratings for two questions of the
Information Skills Survey. Like year
4 girls, year 8 girls expressed greater enjoyment of hunting for information
(question 4) and writing down what they
found out (question 7).
Student Ethnicity
Results achieved by Mäori and non-Mäori students were compared.
For year 4 students, there were differences in performance on six of the
nineteen tasks. In each case, non-Mäori students scored higher than
Mäori students. The tasks for which differences were found were:
Clown Show, NZs
Forest World, Whereabouts?,
Which Book (Y4)?, Link
Task 5 and Link Task 9.
There were no differences on questions of the Information
Skills Survey.
For year 8 students, there were differences of performance between Mäori
and non-Mäori students on fourteen of the twenty-five tasks. In each
case, non-Mäori students scored higher than Mäori students.
Because of the number of tasks involved, the specific tasks will not be
listed here, but it should be noted that no tasks in Chapter 3 showed
differences. There were no differences between Mäori and non-Mäori
students on questions of the Information
Skills Survey.
Socio-Economic Index
Schools are categorised by the Ministry of Education based on census data
for the census mesh blocks where children attending the schools live.
The SES index takes into account household income levels, categories of
employment, and the ethnic mix in the census mesh blocks. The SES index
uses ten subdivisions, each containing ten percent of schools (deciles
1 to 10). For our purposes, the bottom three deciles (13) formed
the low SES group, the middle four deciles (47) formed the medium
SES group, and the top three deciles (810) formed the high SES group.
Results were compared for students attending schools in each of these
three SES groups.
For year 4 students, there were differences among the three subgroups
on nine of the twenty-one tasks: seven in Chapter 4 and just one each
in Chapters 3 and 5. This pattern suggests that most differences relate
to know-ledge about books and how to search for information, rather than
the ability to think about and use information. Because of the number
of tasks showing differences, the specific tasks will not be listed here.
In each case, performance was lowest for students in the low SES group.
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 was also a difference on one question of the
Information Skills Survey, with
students from low SES schools reporting greater enjoyment of hunting for
information (question 4).
For year 8 students, there were differences among the three subgroups
on twenty of the twenty-eight tasks, spread fairly evenly across Chapters
3, 4 and 5. 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 Information
Skills Survey, there was a difference on one question. Students from
low SES schools reported less experience of using a computer catalogue
in a library (question 9)
57 percent of low decile students reported this experience, compared to
79 percent of medium and high decile students.
Summary
Statistically significant differences of task performance among the subgroups
based on school size, school type or community size occurred for very
few tasks (in all cases less than 10 percent of the tasks). There were
differences among the three geographic zone subgroups on four tasks (19
percent) for year 4 students, but only one task (3 percent) for year 8
students. There were no differences in task performance for year 4 girls
and boys, but girls performed better than boys on 28 percent of the year
8 tasks. Compared to boys, girls at both levels indicated greater enjoyment
of searching for information and also for writing down what they find
out. Non-Mäori students performed better than Mäori students
on 31 percent of the year 4 tasks, increasing to 56 percent for the year
8 tasks. The SES index based on school deciles showed the strongest pattern
of differences, with differences on 43 percent of tasks for year 4 students
and 71 percent of tasks for year 8 students.
Compared to the previous assessments four years earlier (1997), there
are some noteworthy differences. The 1997 year 4 students showed differences
in task performance between boys and girls on 30 percent of the tasks
and between Mäori and non-Mäori students on 55 percent
of the tasks. These differences are maintained for the same cohort four
years later, now at year 8 level, and are also similar to the year 8 results
from 1997. The 2001 year 4 students, in contrast, show no differences
in task performance for boys and girls, and differences between Mäori
and non-Mäori students on only 31 percent of the tasks. These are
substantial reductions in disparities between boys and girls and between
Mäori and non-Mäori students.
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