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Data Screening

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

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Data Screening

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  1. Data Screening &Descriptives

  2. Typical class…

  3. Typical class… (Theory) • Lecture

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

  5. Typical class… (Theory) (Application) (Evaluation) • 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

  6. Typical class… (Theory) (Application) (Evaluation) • 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

  7. 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.

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