Effective Use Of Analytics Human Services

Effective Use Of Analytics Human Services
Model Building
Introduction
In data analytics, model building refers to assembling the needed data and analyzing it to address your identified problem. For this second course project assignment, you will complete one statistical analysis for your quantitative data and one content analysis for your qualitative data from the previous project assignment.
Statistical and Content Analyses
Work with your group on developing the following analyses based on the data from your previous project assignment. You can schedule a time to work together in real time, or work on the analyses individually and provide each other with feedback.
Statistical analysis:
Identify the specific analysis type (such as an independent samples t test, paired sample t test, or one-way ANOVA) and explain why it is appropriate.
Assume that you have a sufficient sample size for your analysis (normally, you would need to conduct a power analysis to ensure this).
Conduct the analysis in Microsoft Excel or comparable software. Note: If you use software other than Excel, make sure the files that the program generates can be read in the courseroom (PDF, JPEG, XLS, and PNG formats should be acceptable).
Present the results and explain if they are statistically significant or not.
Content analysis:
Explain the purpose of content analysis.
Identify the qualitative data that you are analyzing and present the analysis.
Identify at least one theme from your data, present quotes from the transcripts as examples, and explain the theme and how it helps you better understand the experiences of the teens.
Instructions
Once you have completed your group analyses, prepare this assignment individually.
While most of this assignment should be written in paragraph format, it is appropriate to present some information (such as the results of the analyses) in tables. You should also present exploratory analyses and descriptive data (for example, a description of the group included in your analysis by race, gender, etcetera) in visual formats such as charts, graphs, and tables.
This paper should include the following sections:
Identification of the Problem: This should just be a brief recap from the first assignment.
Quantitative Analyses:
Identify the data and variable type (continuous or categorical).
Identify the specific type of statistical analysis.
Present your results.
Present the significance testing.
Discuss possible implications of these findings.
Qualitative Analyses:
Identify the data.
Present the results of your content analysis.
Identify theme(s).
Provide illustrative quotations for the theme(s).
Discuss possible implications of these findings.
This assignment should be 3–5 pages long. It should be written in narrative format with tables, charts, graphs, and so forth included as well. Writing should be well organized, free of mechanical errors (in grammar and punctuation), and in correct APA format.
Examine the assignment scoring guide to be sure you have addressed all of the evaluation criteria.