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To have your data analyzed, fill in the required details as indicated below. You will particularly need your data collection instruments including you questionnaires, interview schedules and Focus Group Discussion points. In case you have the interviews and FGDs in audio format, you will need them to be transcribed.
Kindly note te following:
i) When generating your data analysis, many tables will be generated. The best way to edit and present the tables is to first copy and paste them in Excel, and then fashion them according to your liking, before transferring them to your research document.
Step 1
Do Data Analysis - Response Rate
After generating the content, copy and paste it to your desired destination, and edit it to be exactly as you want it.
Step 2
Do Data Analysis - Questionnaire Responses
After generating the content, copy and paste it to your desired destination, and edit it to be exactly as you want it.
Step 3
Do Data Analysis - Interview Responses
After generating the content, copy and paste it to your desired destination, and edit it to be exactly as you want it.
Step 4
Do Data Analysis - Focus Group Discussion (FGD) Responses
After generating the content, copy and paste it to your desired destination, and edit it to be exactly as you want it.
Step 5
With all your data analyzed, the next step is to compile all the analyzed data and have it in a single document. With this compiled document, then you can now create your chapter 4 in the project/thesis/dissertation document through the link below.
Step 6 (for Quantitative and Mixed Studies only)
Creation and Presentation of Data Sets
Sometimes at masters and doctorate degree level, the student will be required to present the data sets from the research study. Data sets are the specific packets of findings that informed the analysis of your data. Here, you are required to present a summary, in table form, of the various means, standard deviations, composite means and regression coefficients, found from conducting the study. This step requires quantitative data and therefore, only quantitative and mixed studies will apply. The Data Sets you will generate will be presented in the Appendix section of your document under the title, 'Data Sets'.
Fill in the following and generate your data sets for presentation:
Data Set i: Demographics
The data on demographics represents the findings with relation to aspects described in the questionnaire that entail Age, Gender and similar prescribed attributes of the respondent. This data set is supposed to show the reader or supervisor that your study included the intended respondents. Remember, the generated results are to be presented in the Appendix section of your document.
Data Analysis - Demographic Data Sets
After generating the content, copy and paste it to your desired destination, and edit it to be exactly as you want it.
Data Set ii: Data Sets for each Variable
Under each variable, these data sets are supposed to demonstrate how each construct under each variable affects the overall variable. Therefore the data sets will show how a change in one construct influences a change in another construct, and in the overall variable. The data sets can also rank the constructs in order of strength of influence.
Data Analysis - Data Sets for Each Variable
After generating the content, copy and paste it to your desired destination, and edit it to be exactly as you want it.
*Do the above step for all other variables
Data Set iii: Correlation Matrix
Correlation matrix is a visual representation of how variables relate with each other and their individual strengths in the overall spectrum. This allows researchers to detect patterns, and multi-collinearity which measures the similarity of behavior between two or more variables hence enabling the researcher to decide whether variables are relevant in the study or not.
Data Analysis - Data Sets for Correlation of Variables
Data Set iv: Regression Coefficient
Regression coefficient measures the relationship between the independent variable(s) and the dependent variable. With this measure, the researcher will be able to demonstrate how a change in one independent variable causes a change in the dependent variable as the other independent variables remain constant. The researcher will also demonstrate the combined relationship of all the independent variables and the dependent variable.
Data Analysis - Data Sets for Regression Coefficient
After generating the content, copy and paste it to your desired destination, and edit it to be exactly as you want it.
Data Set v: Composite Mean
To demonstrate the composite mean, the researcher outlines all the respondents' responses and gives a cumulative mean and standard deviation in order to give a more rounded view of the respondents' sentiments. Therefore, if there are four hundred and twenty respondents, the composite mean will demonstrate four hundred and twenty responses for each independent variable and the dependent variable, giving a cumulative mean and standard deviation reading and resultant interpretation.
Data Analysis - Data Sets for Composite Mean and Standard Deviation
After generating the content, copy and paste it to your desired destination, and edit it to be exactly as you want it.