STEM Education- Bridging the Gap. SPSS Part II Descriptive Statistics

Now that the mock dataset is coded and cleaned, you are now ready to run descriptive statistics. According to Portney and Watkins (2015), “Descriptive statistics are used to characterize the shape, central tendency, and variability within a set of data, often with the intent to describe a population” (p. 385). In this assignment, you will have the opportunity to use SPSS to calculate descriptive statistics on a mock dataset. Regardless of your ARP study design, you will run at least some descriptive statistics on your ARP data. Files provided for you to complete this assignment: 1. Preventive Care & HbA1c Descriptive Statistics Worksheet (Preventive_Care_HbA1c_Worksheet_A2.docx) 2. Instructions for SPSS Part IIDescriptive Statistics (SPSS_Part_II_Instructions.pdf) STEP 1: Open the dataset you coded and cleaned in M4 SPSS Part I Purchase, Installation, and Dataset Preparation. STEP 2: Make any corrections based on facilitator feedback. STEP 3: Run Frequencies (Analyze > Descriptive Statistics > Frequencies) for the following nominal variables: Sex, Educ, Race_a through Race_f, TypeII STEP 4: Conduct normality testing via the Shapiro- Wilk for the following continuous variables: Age, PCTotal, HbA1c, Height, Weight, SBP, DBP. Tip: Be certain to view the screencast in Learning Activity 3 for a demonstration on how to run and interpret this test. STEP 5: Run Descriptives (mean, median, standard deviation, minimum, maximum) for the following continuous variables: Age, PCTotal, HbA1c, Height, Weight, SBP, and DBP. Depending upon the results of the normality testing, report the appropriate measures of central tendency and dispersion. STEP 6: Run Crosstabs using Acc_Prev as the row and TypeII as the column. STEP 7: Submit the completed worksheet (Preventive_Care_HbA1c_Worksheet_) AND the output file with your first initial, last name, and A2 as the title (., SOkpala_), demonstrating completion of Steps 1-6. As with your dataset, SPSS will automatically add the extension “.spv” to your output file. Grading Criteria The data are clean All missing data have been replaced with the missing data code, -99 All fields in the worksheet are complete and accurate Output file was saved using the appropriate SPSS file extension and naming convention (., SOkpala _) Rounded to two places to the right of the decimal Hints: PLEASE REMEMBER THE FEEDBACKS PROVIDED BY THE PROFESSOR IN SPSS PART I. Please see attached the professor’s latest feedback. It is important to note that the workshop should be filled out completely and accurately. Please follow the instructions critically to enable the student pass this course. She did not do well in SPSS Part I but following the revisions and feedbacks from you and the professor, she is confident you can do a greater job in this SPSS Part II.