Quantitative research Flashcards
Correlation
Measure of linear relationship between two variables
Factors for testing correlation
a) Effect size
b) Statistical significance
Effect size
Absolute value of the correlation coefficient (1 | -1) Cohen
Statistical significance
Shows the likelihood that a correlation has been obtained by chance
Reliability and correlation
a) Not a product of random chance
b) Reflection of the relationship between two variables
Conventional cut-off points for statistical significance
a) Less than 5%
b) Replicated in at least 95 out of 100 independent samples drawn from the target population.
Ideal correlation
a) Statistically significant
b) Large effect size
Limitations of correlations
a) Not interpreted in terms of causation
b) Confounding variables
c) Non-linear relationships
d) Spurious correlations (Possibility of chance)
Sampling strategies in correlational studies
a) Identification of target population
b) Sample is drawn from the population using random sampling
c) Representativity depends on sampling method.
Credibility and bias in correlational studies
a) Variable measurement
b) Interpretation of findings.
Positive correlation
As x increases, y increases
Negative correlation
As x increases, y decreases