Creating and Interpreting a Demographic Table

‘Create a baseline demographic table and a 2-to-3 page narrative summary. Statistics is the art and science of data collection and interpretation. It is an art because it requires a combination of creativity an eye for what makes sense and personal judgment about how to use the end result. It is a science because it requires a systematic way of organizing transforming analyzing describing and interpreting data. Even if you dislike math you can still enjoy statistics because it is not just about doing calculations or performing mathematical gymnastics. Most of the mathematics that makes learners uncomfortable is hidden inside statistical technological tools that we can use with relative ease in health care to make important discoveries. So relax—we are going to let technology do most of the work! In this assessment we focus on the cornerstone of quantitative research: the variable. One of the many things that makes the health care field so fascinating (and challenging) is the variation we find from one human to the next. Age gender eye color heart rate ethnicity emotional response and food preferences are some of the differences we find in our communities around the globe. In the language of statistics each of these characteristics is called a variable. Some characteristics like gender have little variation while other characteristics like age can have a much larger amount of variation. Throughout this course you will see that variables have special names based on their functional roles in the experiment. For example when a variable is associated with the intervention (such as treatment where we design the experiment to allow for only two options: practicing yoga versus not) it is referred to as an independent variable. And when a variable is associated with an outcome in the experiment (for example stress—which we decide arbitrarily will have only three possible levels: high medium and low) that is used to measure the direct consequences of the experimental treatment we refer to this as a dependent variable. The sneaky thing about statistics is that depending on the circumstances the independent variable is often referred to in other terms such as the controlled explanatory or predictor variable. If you consider this briefly the names make sense because you are controlling who gets which treatment where the treatment really is the key factor in explaining (or predicting) any outcome. The dependent variable may also be referred to as response outcome output or experimental variable. In this course we will try to be fairly consistent using the terms independent and dependent. The baseline demographic table plays an important role in reporting study results. It summarizes key characteristics of participants numerically (such as age gender and ethnicity) at the beginning of a study before any intervention takes place. Baseline demographic tables are often among the first tables found in the results section of capstone papers dissertations and peer-reviewed publications as well. For this assessment you will create a baseline demographic table and narrative summary using the linked Resources. By successfully completing this assessment you will address the following scoring guide criteria which align to the indicated course competencies. The following statistical analysis software is required to complete your assessments in this course: You have access to the more robust IBM SPSS Statistics Premium GradPack. Please refer to the Statistical Software page on Campus for general information on SPSS software including the most recent version made available to Capella learners. Please review the scoring guide before submitting your assessment. The requirements outlined above correspond to the grading criteria in the scoring guide so be sure to address each point. In addition you may choose to review the performance-level descriptions for each criterion to see how your work will be assessed. Requirements: .doc file Competency 1: Describe underlying concepts and reasoning related to the collection and evaluation of quantitative data in health care research.Write a summary narrative about statistical results. Write a summary narrative about statistical results. Competency 2: Apply appropriate statistical methods using common software tools in the collection and evaluation of health care data.Perform descriptive statistics for selected variables in a data set.Create a demographic table populated with descriptive data for specific treatment groups.Use appropriate statistics for a given data measurement level. Perform descriptive statistics for selected variables in a data set. Create a demographic table populated with descriptive data for specific treatment groups. Use appropriate statistics for a given data measurement level. Competency 3: Interpret the results and practical significance of statistical health care data analyses.Explain the clinical significance of a demographic table. Explain the clinical significance of a demographic table. Competency 5: Address assignment purpose in a well-organized text incorporating appropriate evidence and tone in grammatically sound sentences.Articulate meaning relevant to the main topic scope and purpose of the prompt.Apply APA formatting to in-text citations and references. Articulate meaning relevant to the main topic scope and purpose of the prompt. Apply APA formatting to in-text citations and references. IBM SPSS Statistics Standard or Premium GradPack version 22 or higher for PC or Mac. Use the Yoga Stress (PSS) Study Data Set [XLSX] for this assessment. Follow the steps described in this assessment to use SPSS for performing a descriptive statistical analysis for the following selected variables from the Yoga and Stress Study data set: Age Gender Race Military Status Pre-intervention Psychological Stress Score. Using How to Create a Demographic Table [PPTX] create a demographic table and populate the table with the results of descriptive analysis.Use the type of descriptive statistics most appropriate for the particular kind of data measurement level of each variable being reported.Include appropriate univariate statistics for the variables for each treatment group: Age Gender Ethnicity Education and current Military Status.Use appropriate statistics for a given data measurement level. Use the type of descriptive statistics most appropriate for the particular kind of data measurement level of each variable being reported. Include appropriate univariate statistics for the variables for each treatment group: Age Gender Ethnicity Education and current Military Status. Use appropriate statistics for a given data measurement level. Write a summary narrative about statistical results. Prepare a properly formatted demographic table that includes appropriate univariate statistics for the variables for each treatment group.Explain the practical significance of a demographic table. Explain the practical significance of a demographic table. Use the unit readings media resources and collaborative insights from the discussions for general guidance in reporting a demographic table. Length: 2–3 typed double-spaced pages of content plus title and reference pages. Font: Times New Roman 12 points. APA Format: Your title and reference pages must conform to APA format and style guidelines. See the APA Module for more information. The body of your paper does not need to conform to APA guidelines. Do make sure that it is clear persuasive organized and well written without grammatical punctuation or spelling errors. You also must cite your sources according to APA guidelines. Use the Yoga Stress (PSS) Study Data Set [XLSX] for this assessment.Follow the steps described in this assessment to use SPSS for performing a descriptive statistical analysis for the following selected variables from the Yoga and Stress Study data set: Age Gender Race Military Status Pre-intervention Psychological Stress Score.Using How to Create a Demographic Table [PPTX] create a demographic table and populate the table with the results of descriptive analysis.Use the type of descriptive statistics most appropriate for the particular kind of data measurement level of each variable being reported.Include appropriate univariate statistics for the variables for each treatment group: Age Gender Ethnicity Education and current Military Status.Use appropriate statistics for a given data measurement level. Write a summary narrative about statistical results.Prepare a properly formatted demographic table that includes appropriate univariate statistics for the variables for each treatment group.Explain the practical significance of a demographic table.Use the unit readings media resources and collaborative insights from the discussions for general guidance in reporting a demographic table. ‘

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