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CORRELATIONAL RESEARCH - Coggle Diagram
CORRELATIONAL RESEARCH
PART 1 - What is correlational research?
Identify the relationship exists between two or more
What degree the relationship(How strong)
Correlation coefficient
Type of descriptive research
e.g - There is relationship between intelligence and academic achievement (high score on intelligence tests - high CGPA)
What is it purpose
?
Typically investigate variable believed to be related to a major complex variable
High correlation between 2 variable does not imply one causes the other
Help us determine relationships between variable or to make predictions
CR not cause - effect but all about student prediction
PART 3 - What are the two major types of correlational research?
Relationship study (cannot look causal connection)
1.1 Data Collection
Identify population - select a sample
administer instruments
Identify variable
collect data within a short period time
1.2 Data Analysis
linear relationship
Curvilinear relationship
Computing a correlation coefficient
Related to complex variables
suggest subsequent examination
need to provide control in causal - comparative & experimental studies
Prediction studies
2.1 Data Collection
Generally obtain predictor variables earlier than the criterion variable
strength - of the predictor variable is established
2.2 Data Analysis
Prediction equation
Y = a + bx
Can be used to predict scores on the other variable
Criterion (variable that is predicted)
can use more than 1 variable
Predictor (variable use to predict)
PART 2 - What are the processes involved in the correlational research?
Participant and instrument selection
30 participant
Develop valid and reliable measures
Design and Procedure
Obtained from each member sample
Paired scores are the related
2 more score
Problem selection
Variable to be related (must rationale)
logic one by theory or derived from experience
Data analysis and Interpretation
Decimal number
near .00 - variable not related
near -1.00 - high size and (-)(direction)
near +1.00 - high size and (+)(direction)
one way to Interpret correlation coefficients
below plus or minus .35 (low or not related)
between plus or minus (.35 and (.65) - moderately related
higher than plus or minus (.65) - highly related
prediction
(below plus or minus (.50) - generally useless
Reliability
(.90s - high, .80s - moderate, .70s - low
Correlation coefficient (Indicates the size and direction of relationship