Non-Experimental Methods

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Across
  1. 4. Predicts an outcome variable based on one or more predictor variables.
  2. 5. In this relationship higher scores on one variable are associated with higher scores on another.
  3. 7. When awareness of observation changes behavior.
  4. 9. In this relationship higher scores on one variable are associated with lower scores on another.
  5. 10. Compare two or more pre-existing groups (e.g., different ages) at one time point.
  6. 11. This type of correlation occurs because of a third variable, not a direct connection.
Down
  1. 1. Measures two variables and assesses the statistical relationship between them without manipulating variables.
  2. 2. Collects and analyzes non-numerical data (e.g., interviews, notes) using non-statistical methods.
  3. 3. Follow the same group of people over time to observe change.
  4. 6. This is the variable being predicted in regression.
  5. 8. With this problem, correlation cannot determine which variable causes which.
  6. 12. This is the variable used to predict an outcome.