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### DNP 830 Data Collection and Level of Measurement.docx

1. DNP 830 Data Collection and Level of Measurement DNP 830 Data Collection and Level of MeasurementDNP 830 Data Collection and Level of MeasurementThe DNP must have a basic understanding of statistical measurements and how they apply within the parameters of data management and analytics. In this assignment, you will demonstrate understanding of basic statistical tests and how to perform the appropriate test for the project using SPSS or other statistical programs.Project Topic: For immediate postpartum mothers 19 years and older, will the implementation ofeducation and immediate support provider-driven mother-newborn uninterrupted skin- to-skin contact within the first 24 hours after birth compared to current practice, facilitate breastfeeding initiation rates?General Requirements:Use the following information to ensure successful completion of the assignment:Refer to “Setting Up My SPSS,” “SPSS Database,” and “Comparison Table of the Variable’s Level of MeasurementDoctoral learners are required to use APA style for their writing assignments.This assignment uses a rubric. Review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.Directions:Set up your IBM SPSS account and run several statistical outputs based on the “SPSS Database” Use “Setting Up My SPSS” to set up your SPSS program on your computer or device. You may also use programs such as Laerd Statistics or Intellectus, if you subscribe to them.The patient outcome or dependent variables and the level of measurement must be displayed in a comparison table which you will provide as an Appendix to the paper. Refer to the “Comparison Table of the Variable’s Level of Measurement.”Submit a 2,000-2,250 word data analysis paper outlining the procedures used to analyze the parametric and non-parametric variables in the mock data, the statistics reported, and a conclusion of the results.Provide a conclusive result of the data analyses based on the guidelines below for statistical significance.ORDER NOW FOR CUSTOMIZED, PLAGIARISM-FREE PAPERSPAIRED SAMPLE T-TEST: Identify the variables Baseline Weight and Intervention Weight. Using the Analysis menu in SPSS, go to Compare Means, Go to the Paired Sample t-test. Add the Baseline Weight and Intervention Weight in the Pair 1 fields. Click OK. Report the mean weights, standard deviations, t-statistic, degrees of freedom, and p level. Report as t(df)=value, p = value. Report the p level out three digits.INDEPENDENT SAMPLE T-TEST: Identify the variables Intervention Groups and Patient Weight. Go to the Analysis Menu, go to Compare Means, Go to Independent Samples tT-test. Add Intervention Groups to the Grouping Factor. Define the groups according to codings in the variable view (1=Intervention, 2 =Baseline). Add Patient Weight to the test variable field. Click OK. Report the mean weights, standard deviations, t-