Research Methods-Correlations Flashcards
Define Positive Correlation
As one variable increases, the other also increases
Define Negative Correlation
As one variable increases, the other decreases.
Define No Correlation
No relationship between the two variables
Define Correlational Analysis
Measures the strength of relationship between variables that are thought to co-vary.
Useful in research where variables cannot be manipulated for either practical or ethical reasons.
Plays a major role in establishing the reliability and validity of psychological measuring instruments.
DOES NOT INFER CAUSATION
List one strength of correlational analysi
Identifies possible relationships that could lead to further avenues of study. Correlation could lead to practical applications that could benefit society.
List one weakness of correlational analysis
Only examine the strength of a relationship, not cause and effect between variables. Can lead to inaccurate conclusions being drawn regarding the causes of behaviour lowering validity.
Define Correlational Hypotheses
Predicts relationship between variables. Can be one tailed or two tailed.
Give example of one tailed correlational hypotheses
There will be a significant positive relationship between people’s heights and their confidence.
Give example of two tailed correlational hypotheses
There will be a significant relationship between people’s height and their confidence.
Give example of null correlational hypotheses
There will be no significant relationship between people’s heights and their confidence.
Define Scatter graph
Show correlation between two sets of data by plotting dots to represent each pair of scores.
Define Correlation Coefficient
Measures strength of correlation. Statistic that has a value on a scale between +1 (perfect positive correlation) and -1 (perfect negative correlation)
List correlation values and strengths of their relationships
1.0 Perfect .80 Strong .50 Moderate .30 Weak .10 Very Weak