Types of Variables

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Across
  1. 7. Created by combining multiple variables
  2. 8. Not directly observed and example include psychological constructs like intelligence or socio economic status.Created by combinig multiple variables.Helps in longitudinal studies to determine causality or sequence of events.
  3. 9. Can cause a false association between the independent and dependent variables leading to incorrect conclusions.
  4. 10. Outcomes or effects that reearchers aim to explore and understand in their study.
Down
  1. 1. Central to understanding the effects of predictor variables
  2. 2. Factors or conditions tha researchers manipulate or vary to observe their effects
  3. 3. Variables come before other variables in time or sequence.
  4. 4. Used to forecast or predict the outcomes of other variables
  5. 5. Includes nominal variables like country of origin and ordinal variables such as educational level.
  6. 6. Allows for detailed analysis and a high degree of accuracy in research findings.
  7. 11. Can only take on specific values like number of cars in a parking lot.