SPSS - Health Study Research Project Topic: Link Between The Low Carbohydrate Diet and Cardiovascular Disease

Intro to SPSS

General tips and hints about using SPSS and opening up files into SPSS

https://www.youtube.com/watch?v=ADDR3_Ng5CA

SPSS Tutorial on Frequencies

Descriptive statistics for continuous variables (age, income, BMI)

https://www.youtube.com/watch?v=zI8tE81IeSk&list=UUXLbK1bH-w1oklGm4dLYrHw

SPSS Tutorial on Descriptive Statistics

Descriptive statistics for other variables like dichotomous and categorical variables (education, gender, marital status, race, etc.)

https://www.youtube.com/watch?v=c4mGKguUnvc&list=UUXLbK1bH-w1oklGm4dLYrHw

One-Sample t-Test

Comparing one continuous variable with a population mean (etc. is the study population’s BMI different than the population BMI; is the study populations mean age different than the mean age of the general population, etc.)

https://www.youtube.com/watch?v=jTJdj7ZYmmU&list=UUXLbK1bH-w1oklGm4dLYrHw

Paired-Sample t-Tests

Comparing one continuous variable in either two matched samples (blood pressure of participants on new drug versus placebo, matched on age, gender, and race), or in the same sample at two time points (e.g. SAT scores before and after an SAT prep class; BMI before and after a weight-loss intervention, blood pressure before and after meditation)

https://www.youtube.com/watch?v=eanXmHlW5qE&list=UUXLbK1bH-w1oklGm4dLYrHw

Two Independent Sample t-Tests

Comparing a continuous variable in two different populations, not matched on any variables: mean age of breast cancer diagnosis in Hispanic versus African-American population; # colds in a year in prechool aged children versus school-aged children; height of children on steroids versus those never had steroids

https://www.youtube.com/watch?v=qOH46VVm1Uo&list=UUXLbK1bH-w1oklGm4dLYrHw

Correlations

How do two continuous variables relate to one another? As one variable increases, does the other variable decrease, stay the same, or increase? E.g correlation of age and income is generally relatively high and linear – as one gets older, one increases in income

https://www.youtube.com/watch?v=cNrnSEWKJgg&list=UUXLbK1bH-w1oklGm4dLYrHw

Chi-Square

Comparison of a dichotomous or categorical outcome across two or more independent groups: e.g. are there more women with cervical cancer among Caucasian, African-American, Hispanic, Asian-American, Native American, or other racial groups? Comparison of cancer status across racial groups, or across education groups, or across income levels; comparison of BMI across different job types or levels of employment (salaried, hourly, contractor, commission-based, etc.) or different shifts (day-shift, night-shift, varied).

https://www.youtube.com/watch?v=Ahs8jS5mJKk

Analysis of Variance (ANOVA) and F-Test

Comparison of a continuous outcome across more than two groups: e.g. BMI comparison of low fat, low calories, low carb, and control groups; blood pressure comparison across those on clinical trial drug A, clinical trial drug B, and a control group.

https://www.youtube.com/watch?v=C3-a5jrCjhk

Linear Regression

Continuous variable outcome with any number of risk factors in a regression model; using risk factors, can we model a prediction of the continuous variable

E.g. knowing the risk factors of age, gender, race, income, education, BMI, family history, and other health history, can we predict fasting blood glucose levels?

Fasting blood glucose level here is the continuous outcome.

https://www.youtube.com/watch?v=JVwEdhEiGJg

Logistic Regression

Dichotomous variable outcome with any number of risk factors in a regression model; using risk factors, can we model a prediction of the continuous variable

E..g. knowing the risk factors of age, gender, race, income, education, BMI, family history, and other health history, can we predict diabetes status?

Diabetes status here is the dichotomous variable (diabetes or no diabetes)

https://www.youtube.com/watch?v=ODyRncSMMo4

Logistic Regression, Part II

https://www.youtube.com/watch?v=ILEdg0UTTXQ&list=UU3j4fRCt2VGsttiPs9DXWMQ