Data Screening & Descriptives

Typical class…

Lecture (Theory)

Typical class… Lecture Watch 1. SPSS steps 2. Get output 3. Interpret output 4. Write up results 5. Evaluate results (Theory) (Application) (Evaluation)

Typical class… Lecture Watch 1. SPSS steps 2. Get output 3. Interpret output 4. Write up results 5. Evaluate results Handout 1. SPSS steps 2. Get output 3. Interpret output 4. Write up results 5. Evaluate results (Theory) (Application) (Evaluation)

Typical class… Lecture Watch 1. SPSS steps 2. Get output 3. Interpret output 4. Write up results 5. Evaluate results Handout 1. SPSS steps 2. Get output 3. Interpret output 4. Write up results 5. Evaluate results Your Data (Theory) (Application) (Evaluation)

Data screening & Descriptives Both are unique in that no lecture and no write-up Data Screening check if data entered correctly check for missing values check for outliers check for normality Descriptives How to describe continuous and categorical variables Then other relevant skills..  Creating composites (averaging items together)  Reverse coding items (so all items in same direction)  Using items with different scale ranges (e.g., 1-11, 0-100, etc)  Using syntax  Transforming continuous variables into categorical  Creating new variables based upon the combo of two or more other variables.