First, identify which variables you will analyze for your study. Choose an outcome variable (disease or...

  

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First, identify which variables you will analyze for your study. Choose an outcome variable (disease or disorder) and at least one risk factor. Then choose other appropriate variables that are related to your outcome or exposure variables (e.g. for diabetes and obesity, also look at family history and blood glucose levels). Also, use ALL demographic variables in your analysis (gender, race, age, salary, education).Next, in SPSS, run frequency distributions for each of the variables you think you will be using in the analysis to answer your research question (e.g., all potential variables for obesity and diabetes, all relevant measures of exercise, demographic variables like gender and age group). If the variable is continuous, also run descriptive statistics including the mean, standard deviation, etc. For categorical variables, also run the appropriate graph. For variables that have very small frequencies in at least one category (e.g., less than 7 people in a category), think about combining that category with another if it makes conceptual sense (i.e., there are very few Native Americans, does it make sense to combine them with the Asian group?). See theinstructions for recoding variables. Try the recode, give the recoded variable a new name, run a frequency of the new variable (it will be on the bottom of the list of variables), and SAVE THE DATA FILE. IF YOU RECODE OR CREATE NEW VARIABLES, YOOU MUST SAVE YOUR DATA FILE TO KEEP THE NEW VARIABLES.Optional:For the daring and possibly experienced, try creating an additive scale if it makes sense for your research question. Look at the frequency distributions of each variable that will be added to make the scale. Recode as needed-try to have the same number of categories, reorder the categories so that they all go in the same conceptual direction (low to high, bad to good, infrequent to frequent, etc.). Use the COMPUTEcommand and add the variables to make a new scale. Run a frequency distribution of the scale and appropriate descriptives of the scale.Cut and paste the SPSS output to a word document. Include the frequency distributions(original and recoded if appropriate), graphs, and possibly descriptive statistics. For each distribution, graph, or statistic presented, summarize in words what the data means (i.e., the sample is predominately female with 70% women.) Summaries can be accomplished in a sentence or two, type the summary below the SPSS result. ALL NUMBERS CAN BE MADE UP, THIS IS A MOCK RESEARCH TaskPoints PointsMy research Queston are as follow: Is there an relationship between diabetes and obesity and economic income the in adults 18-91? Is your family size of 2 Is your family size of 3 - 4 Is your family size of 4-5 Is your family size of 6+ Is your income a year is between 10000 to 15000 Is your income a year is between 15000 to 25000 Is your income a year is between 25000 to 35000 Is your income a year is between 35000 to 45000 Is your income a year is between 45000 to 55000 Is your income a year is between 55000 to 65000 Is your income a year is between 6500 to 85000 Is your income a year is more than 100000 plus My selecTed Variables are as follow: obesity Physical AcitviTy (PA) Low income (Ili) BMI, DiabeTes, Gender Age the Cohort is N=200. the race and are you currently in school from the table with the mean, SD, etc. since they are categorical variables. Also for the descriptive statistics table with physical activity and sleep apnea it is the same thing-theyare categorical so can't have a mean and SD. They should just be frequency without measures of central tendency. ForDo you include Physical Activity into your dailythat shouldn't be observed/expected as you are not comparing it to a known external value. Use the Test of Independence which doesn't include observed/expected values. Cronbach's alpha is not appropriate for this - you can eliminate it. First, identify which variables you will analyze for your study. Choose an outcome variable (disease or disorder) and at least one risk factor. Then choose other appropriate variables that are related to your outcome or exposure variables (e.g. for diabetes and obesity, also look at family history and blood glucose levels). Also, use ALL demographic variables in your analysis (gender, race, age, salary, education).Next, in SPSS, run frequency distributions for each of the variables you think you will be using in the analysis to answer your research question (e.g., all potential variables for obesity and diabetes, all relevant measures of exercise, demographic variables like gender and age group). If the variable is continuous, also run descriptive statistics including the mean, standard deviation, etc. For categorical variables, also run the appropriate graph. For variables that have very small frequencies in at least one category (e.g., less than 7 people in a category), think about combining that category with another if it makes conceptual sense (i.e., there are very few Native Americans, does it make sense to combine them with the Asian group?). See theinstructions for recoding variables. Try the recode, give the recoded variable a new name, run a frequency of the new variable (it will be on the bottom of the list of variables), and SAVE THE DATA FILE. IF YOU RECODE OR CREATE NEW VARIABLES, YOOU MUST SAVE YOUR DATA FILE TO KEEP THE NEW VARIABLES.Optional:For the daring and possibly experienced, try creating an additive scale if it makes sense for your research question. Look at the frequency distributions of each variable that will be added to make the scale. Recode as needed-try to have the same number of categories, reorder the categories so that they all go in the same conceptual direction (low to high, bad to good, infrequent to frequent, etc.). Use the COMPUTEcommand and add the variables to make a new scale. Run a frequency distribution of the scale and appropriate descriptives of the scale.Cut and paste the SPSS output to a word document. Include the frequency distributions(original and recoded if appropriate), graphs, and possibly descriptive statistics. For each distribution, graph, or statistic presented, summarize in words what the data means (i.e., the sample is predominately female with 70% women.) Summaries can be accomplished in a sentence or two, type the summary below the SPSS result. ALL NUMBERS CAN BE MADE UP, THIS IS A MOCK RESEARCH TaskPoints PointsMy research Queston are as follow: Is there an relationship between diabetes and obesity and economic income the in adults 18-91? Is your family size of 2 Is your family size of 3 - 4 Is your family size of 4-5 Is your family size of 6+ Is your income a year is between 10000 to 15000 Is your income a year is between 15000 to 25000 Is your income a year is between 25000 to 35000 Is your income a year is between 35000 to 45000 Is your income a year is between 45000 to 55000 Is your income a year is between 55000 to 65000 Is your income a year is between 6500 to 85000 Is your income a year is more than 100000 plus My selecTed Variables are as follow: obesity Physical AcitviTy (PA) Low income (Ili) BMI, DiabeTes, Gender Age the Cohort is N=200. the race and are you currently in school from the table with the mean, SD, etc. since they are categorical variables. Also for the descriptive statistics table with physical activity and sleep apnea it is the same thing-theyare categorical so can't have a mean and SD. They should just be frequency without measures of central tendency. ForDo you include Physical Activity into your dailythat shouldn't be observed/expected as you are not comparing it to a known external value. Use the Test of Independence which doesn't include observed/expected values. Cronbach's alpha is not appropriate for this - you can eliminate it.

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