Reference no: EM133870419 , Length: 4 pages

Instruction:

Compose your data analysis. The rubric for grading for the final assignment is below so you have clear expectations on the grading for the final draft.

The expectation for the grade for this assignment is that the analysis is complete and meets the minimum length requirements (3-5 pages).

Note: If you are doing a systematic review, best practices, literature review, etc. this rubric will mostly not apply to you! Instead, this assignment becomes the actual review of your literature.

Data Analysis

This criterion is linked to a Learning Outcome Introduction
Reintroduces the purpose of the research study. Briefly describes the research methodology and/or research questions/hypotheses tested.

This criterion is linked to a Learning Outcome Description of the Sample Provides a narrative summary of the population or sample characteristics and demographics.

Quantitative Studies:
Presents the "Sample (or Population) profile," using statistics for the demographics collected from or retrieved for the actual sample or population.

If the actual sample is smaller than the a priori sample, the learner must discuss consequences (e.g., limitations, change of statistical analysis procedures, possibly even change of design).

The second section of Descriptive Data should be "Descriptive statistics for the variables of interest" (analyzed to answer the RQs). For composite continuous variables, reliability coefficients computed on the study data precede the descriptive statistics and have to be compared with coefficients reported by instrument authors and prior users. Low reliability (< 0.7) may require changes in design and analysis
(dropping variables with unreliable data). In case of changes of statistical analysis that became necessary during the computation of descriptive statistics, the learner will present and justify the new statistical procedures.

Qualitative Studies: Presents the "Sample (or Population) profile," using statistics for the demographics collected from or retrieved for the actual sample or population.

This criterion is linked to a Learning Outcome Narrative of data collected Includes a narrative summary of data collected

This criterion is linked to a Learning Outcome Visual Data Uses visual graphic organizers, such as tables, histograms, graphs, and/or bar charts, to effectively organize and display coded data and descriptive data.

For example:
Quantitative Studies: sample-level frequencies and descriptive or graphic comparisons of study-relevant groups. If the intended analysis involves parametric procedures, tests of assumptions are required to evaluate sample distribution (skewness and kurtosis data and charts) normality and homogeneity of variance. If nonparametric procedures are used, justification must be provided.

Qualitative Studies: Discuss and provide a table showing number of interviews conducted, duration of interviews, #pages transcript; # observations conducted, duration, #pages of typed-up field notes, # of occurrences of a code, model created, etc.

This criterion is linked to a Learning Outcome Data Analysis Procedures Describes in detail the data analysis procedures. Qualitative Studies: Coding procedures must be tailored to the specific analytical approach; they are not generic.

Start discussion of data analysis procedures by identifying and describing the analytical approach (e.g., thematic analysis, Phenomenological analysis). Describes coding process, description of how codes were developed, how categories were developed, how these are related to themes. Provide examples of codes and themes with corresponding quotations, demonstrating how codes were developed into themes.
Provides evidence of initial and final codes and themes in text or an Appendix.

Quantitative Studies: The preparation of the data file ought to be presented BEFORE the Descriptive Findings. If the analysis is run as planned, the learner will present the results of the statistical procedures per RQ. If the analysis had to be changed, the learner will present the results of the new procedure(s) per RQ. No analyses unrelated to the RQs are allowed. Results tables have to be included in text. For each question, the learner will comment on the relevant statistics and will draw a conclusion in terms of accepting the null or the alternative hypothesis stated for that question. It is possible that a single statistical procedure may generate the statistics needed to answer multiple RQs-in that case, the learner will present the analysis results, with appropriate table(s), and then state and answer the RQs in due order.

This criterion is linked to a Learning Outcome Reliability and Validity Provides validity and reliability of the data in statistical terms for quantitative research OR describes approaches used to ensure validity and reliability for qualitative data including expert panel review of questions, practice interviews, member checking, and triangulation of data, as appropriate.

This criterion is linked to a Learning Outcome Error and Limitations Identifies sources of error, missing data, or outliers and potential effects on the data. Discuss the limitations this places on the study results.

This criterion is linked to a Learning Outcome Alignment with Research Questions Quantitative Studies: Justifies how the analysis aligns with the research question(s) and hypothesis(es) and is appropriate for the research design. Qualitative Studies: Justifies how the analysis aligns
with the research question(s), and how data and findings were organized by chronology of phenomena, by themes and patterns, or by other approaches as deemed appropriate.