This section outlines how the data
is to be analyzed to answer each specific research question. The explanation
should be parallel to each research question.
For research questions to be addressed by quantitative data, the scoring scheme and the statistical treatment to be used are presented. Verbal interpretations of the ranges of findings must also be indicated. For example:
To answer research question number 1, frequency and percentage will be used.
To answer research question number 2, weighted mean will be used. Below is the verbal interpretation of the scores:
3.26– 4.00: Very high extent
2.51 – 3.25: High extent
1.76 – 2.50: Low extent
1.00 – 1.75: Very low extent
To answer research question number 3, the depression scale scores will be computed, then the mean of the score will be generated and interpreted accordingly:
50 and above: Severe depression
35 to 49: Moderate depression
20 to 34: Mild depression
0 to 19: No depression
To answer research question number 4, oneway analysis of variance (ANOVA) will be used, and Tukey’s test will be used as post-hoc. If the p-value is lower than 0.05, the null hypothesis will be rejected.
For research questions to be addressed by qualitative data, a thorough explanation of specific qualitative data technique/s to be utilized in order to derive findings from the data. Make sure to cite the authors. Also, make sure that you contextualize the technical steps to the concepts/phenomenon, locale and participants of your study.
For studies with multiple phases, mixed methods and/or triangulation, explain also how the data from each method/phase will be integrated.
For studies with outputs, explain which findings will inform the output, and how they will be used in the creation of the output. Include the procedure of validating and assuring the quality of the outputs produced by the study.
For some qualitative studies, this section may be named, "analysis of information."
..
No comments:
Post a Comment