corrolation

Cards (18)

  • What is the focus of correlation analysis?
    Analysis of the relationship between co-variables
  • How do correlations differ from experiments?
    Correlations do not manipulate variables
  • Why do we use correlational designs?
    To test relationships between two variables
  • When is it unethical to manipulate variables in experiments?
    When studying harmful behaviors like smoking
  • What is a correlational hypothesis?
    It states the expected association between co-variables
  • What is the range of the correlation coefficient?
    -1 to +1
  • What does a larger correlation coefficient indicate?
    A stronger correlation between variables
  • What is the purpose of a table of significance?
    To determine if results are significant
  • What is the first step in using correlations?
    Decide what co-variables to measure
  • What should you do after measuring co-variables?
    Plot the values on a scatter graph
  • What does Spearman’s Rank test determine?
    If the relationship is significant or due to chance
  • What characterizes a positive correlation?
    Both variables increase together
  • What characterizes a negative correlation?
    One variable increases while the other decreases
  • What indicates no correlation?
    Values close to 0
  • What is a key principle to remember about correlation?
    Correlation does not mean causation
  • What are the types of correlations and their characteristics?
    • Positive correlation: Both variables increase together
    • Negative correlation: One variable increases, the other decreases
    • Zero correlation: No relationship between the variables
  • What are the steps to conduct a correlational study?
    1. Decide on co-variables to measure
    2. Operationalise the variables
    3. Measure each participant on both co-variables
    4. Plot values on a scatter graph
    5. Conduct a statistical test (Spearman’s Rank)
  • What are the implications of correlation in research?
    • Correlation indicates a relationship, not causation
    • Useful for unethical or impractical experiments
    • Helps in hypothesis generation for further studies