## CHAPTER THREE: RESEARCH DESIGN (CONT.)

## Data Analysis

Once the data were collected, they were
analyzed using __Microsoft Excel__, a computer software
spreadsheet. Quantitative descriptive statistics were employed to
analyze data from the researcher's database for the grading
criteria of the students' projects and were displayed in tabular
form (see Table 1).

After each of the responses to the
prompts in the students' journals were coded as being a generally
positive, negative or neutral statement, a value of 1 was given
to each of these in order to determine the total number of
positive, negative and neutral statements. The total positive,
negative and neutral statements was entered into the __Microsoft
Excel__ spreadsheet and plotted in a “radar” graph.
This analysis gauged how the respondents--as a whole--felt about
each activity. The radar graph is similar to scatter plot except
there are three variables (positive, negative and neutral), (see
Figure 1).

Data from the first questionnaire were
also analyzed using __Microsoft Excel__. Histograms were used
to analyze the numbers of students who used their free time in
the computer lab, gave or received help and who liked or disliked
specific activities. Radar graphs were again used to gauge how
students felt about using email, being local experts and their
own understanding of science.

Finally, data from the two Likert scale
questions on the second questionnaire were tabulated and analyzed
for the percentages of students who agreed that the profiles
accurately reflected their feelings and attitudes. The
percentages were graphed in the form of a “pie chart”
using __Microsoft Excel__ (see Figure 11).

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