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Correlational Research - Coggle Diagram
Correlational Research
Part 1: What is correlational research?
A type of descriptive research(describe an existing condition)
Determine whether and to what degree a relationship exists between two or more quantifiable variables
Degree of relationship-correlation coefficient
Purpose
Determine relationship to make prediction
Typically investigate variables believed to be related to major, complex variable
High correlation between 2 variables
Correlational relationships(not cause-effect)
Part 2: What are the processes involved in correlational research?
Problem Selection
Test hypotheses regarding expected relationships
Variables to be correlated
Relationship to be investigated shouldbe logical one
Participant and instrument selection
30 participants
Select or develop valid and reliable measures of the variables being studied
3.Design and Procedure
2 or more scores
One score for each variable of interest
Paired scores are the correlated
Result-expressed as a correlation coefficient
4.Data Analysis and Interpretation
Correlation coefficient-indicates the size and direction
Decimal number
Near +1.00 -a high size and a positive direction
Near .00-Variable are not related
Near -1.00 -a high size and a negative direction
Part 3:What are the two major types of correlational research?
Relationship Studies
Gain insight into variables that are related to complex variables
Suggest subsequent examination(causal-comparative and experimental studies)
Need to provide control in causal-comparative and experimental studies
1.1. Data Collection
Identify variables
Identify population
Administer instruments
Collect data within a short period of time
1.2.Data Analysis
Computing a correlation coefficient
Linear relationship
Curvilinear relationship
Prediction Studies
Can be used to predict scores on the other variable
Predictor(variable used to predict)
Criterion(Variable that is predicted)
Can use more than 1 variable to make predictions
2.1. Data collection
Generally obtain predictor variables earlier than the criterion variable
Test on at least one new group of participant once the strength of the predictor variable is established
2.2. Data analysis and interpretation
Prediction equation(single variable prediction)
Y= a+bX
Y- the predicted criterion score for an individual
X- an individual's score on the predictor variable
a- a constant calculated from the scores of all participants
b- a coefficient that indicates the contribution of the predictor variable to the criterion variable