Participant Demographic and Data Analysis: Descriptive Analyses

Calculating Measures of Central Tendency and Variability for Participant Demographic and Data

Analyze the participant demographic and data for the variables in the questions below.Question A. Descriptive Analyses total for  reference) a)Age b)Age group c)Genderd)Transition typee)Physical readiness for transitionf)Psychological readiness for transitiong)Ability to learn self-care strategies prior to transitionh)Patient belief that s/he can look after required aspect of self-care upon transitionQuestion A ii. a)For the variable ‘total readiness for transition’ calculate, and cut and paste the excel outputs for the three measures of central tendency. All three measures of central tendency must be calculated and identified for full marks. (No partial marks) Question A iii.  For the variable ‘age’ calculate, and cut and paste the excel outputs for the three measures of central tendency All three measures of central tendency must be calculated and identified for full marks. For the variable ‘age group’ create a) a frequency distribution chart b) a bar chart The bins and the variables with counts per group have been created for you on excel data set. Each chart must include labels and/or a legend to identify clearly the variables and groups for full marks.Question A iv.  For the variable: ‘ability to learn self-care strategies prior to transition’, calculate the 3 measures of central tendency AND 3 measures of variability and cut and paste the excel outputs. You must be clear in your answer which measures are for central tendency and which are for variability to get full marksDiscuss(interpret) the central tendency and variability for this variable, including which measure of central tendency is most meaningful and why. Discuss why there are, or are not, extreme values using measures of central tendency and variability to support your

3rationale including which measure of central tendency is most meaningful and why. If there are extreme scores, identify scores that are extreme. (Interpretation = what does this data analysis tell us so far about this sample).Question A v. 0.5 marks For the variable ‘ability to learn self-care strategies prior to transition and‘patient belief that s/he can look after the required aspect of self-care upon transition’ calculate the 3 measures of central tendency AND 3 measures of variability and cut and paste the excel outputs. You must be clear in your answer which measures are for central tendency and which are for variability to get full marksDiscuss (interpret) the descriptive statistics for this variable including why there are or are not extreme values using measures of central tendency and variability to support your rationale, includingwhich measure of central tendency is most meaningful and why. If there are extreme scores, identify scores that are extreme. (Interpretation = what does this data analysis tell us so far about this sample)Question A vi.For the variables ‘patient belief that s/he can look after required aspect of self-care upon transition’ a)create frequency distribution charts and histograms. Charts must include labels and/or a legend to identify clearly the variables and groups for full marks.b)Create a column or barchart for the variables ‘transition type’ and ‘gender’ state the level of measures for each and provide the rationale with reference to support. Question B. Interpretation of AnalysesQuestion)i)Discuss (interpret) the descriptive statistics for the conceptage, as analyzed by the previous two variables(‘age’ and ‘age group’) for this sample. ii)What might be some implications with regards to the concepts‘age’ and ‘total readiness for transition’ as measured by the three (3) variablesin this assignmentanalysisfor a) research and b) nursing practice?iii)With ALL analyzed descriptive data in this assignment, describe this sample, in words. 4iv)What might be some implications regarding all variables from the data analysis of this sample of nurses for a) research and b) nursing pr