How to Answer Variables Including Frequency Questions (Complete Guide)
Students often encounter this when studying fundamental concepts.
What This Question Is About
This question relates to variables including frequency and requires a structured academic response.
How to Approach This Question
Structure your response with introduction, analysis, and conclusion.
Key Explanation
This topic involves variables including frequency. A strong answer should include explanation, application, and examples.
Original Question
Variables (including frequency tables) This is the same dataset and same topic (CHLAMYDIA) that you will be using. Remember to select the release cycle (2015-2016). If necessary, you may need to search for the variable in the NHANES database found here: Centers for Disease Control and Prevention. (2018). Search variables. https://wwwn.cdc.gov/nchs/nhanes/Search/default.aspx (List the data file name and component line) Using the data set, perform the following operations to include in your report: Select a continuous variable from the data set and provide full definition for each variable. Convert a continuous variable to a categorical variable (which may be used to answer one of your research questions). Provide an explanation of how you converted the variable. Produce frequency tables for the new variable you made. If any of the cells in your frequency table has fewer than 6 individuals in it, combine that level with other levels so there is no frequency less than 6. Attach the frequency tables Submit descriptive statistics for the new variables. Then formulate a brief introduction/problem statement on the importance of your research topic as a public health issue. This should be similar to one that you might submit for your Doctoral Study. Support your response, with a limited review of the current literature (3-5 references) Translate your research topic into research question(s). Describe the study population you selected for your project (study population is defined based on your research topic) and a rationale for the chosen population. Include a list of variables (dependent, independent, confounding, etc.) from your selected data set, that you will be using to answer your research question(s). Include a rationale for why you think those variables are enough for answering your research question. Describe the levels of measurement for each variable. Develop a statistical analysis plan (no analysis will be completed in this section), including: Descriptive methods you will be using to describe data Analytic methods you will be using to answer your research question(s). Include the following: Describe the statistical test you will be using. Why this test is appropriate to answer your research question? Why this test is appropriate for using the list of variables you selected for your research question? How will the results of this statistical test help you to answer your research question? Indicate the methods you will be using to display your findings. Select a sample from NHANES and indicate the sample size and the method for calculating the sample size, including your power calculations. Include G*Power output(s) to support your calculation(s) for sample size. Heinrich-Heine-Universität Düsseldorf. (2023). https://www.psychologie.hhu.de/arbeitsgruppen/allgemeine-psychologie-und-arbeitspsychologie/gpower Download G*Power 3.1.9.7 for Windows https://www.psychologie.hhu.de/fileadmin/redaktion/Fakultaeten/Mathematisch-Naturwissenschaftliche_Fakultaet/Psychologie/AAP/gpower/GPowerWin_3.1.9.7.zip XP, Vista, 7, 8, 10 and 11 (about 20 MB). Please make sure to choose “unpack with folders” in your unzip tool. Download G*Power 3.1.9.6 for Mac OS X https://www.psychologie.hhu.de/fileadmin/redaktion/Fakultaeten/Mathematisch-Naturwissenschaftliche_Fakultaet/Psychologie/AAP/gpower/GPowerMac_3.1.9.6.zip 7 to 13 (about 2 MB)
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