Introduction of topic area, statement of research question(s) to be addressed (including any sub-questions with controls); Statement of the independent and dependent variables to be investigated, statement of control variables (if applicable).
statistics
Description
Research Problem: Introduction of topic area, statement of research question(s) to be addressed (including any sub-questions with controls); Statement of the independent and dependent variables to be investigated, statement of control variables (if applicable). For each variable: the question asked in the survey, the response categories and the value labels for each response category, level of measurement (i.e.: nominal, ordinal, I/R) and type of variable (i.e.: string, categorical, discrete or continuous) with explanation and justification for responses with respect to criteria for the level of measurement and type of variable.
Method: Secondary data analysis explained (i.e.: what is secondary data and why is it being used ex: existing data collected by
someone else and they are used for convenience and low cost), statement of data set that will be used to investigate the
hypotheses, why the data set was chosen (ex: because it included the specific variables related to my research topic/research
question).
Data Modification(s), if any: Explanation of need to recode/scale any of the variables (ex: why recoding was necessary, how new
variable and categories were created from old variable, and value labels assigned to new categories, level of measurement and
type of variable for all recoded variables). This should be done as a table.
Results: Results of statistical analysis are DISCUSSED AND INTERPRETED. Both technical (i.e.: numerical) results are reported and
substantive messages (i.e.: interpretation in words of what the numbers imply/mean/represent) are articulated
