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14 Cards in this Set
- Front
- Back
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4 Types of Relationships between Variables |
1. General Relationship 2. Directional Relationship 3. Linear Relationship 4. Curve-linear Relationship |
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Which of the 4 relationships is seen by analyzing crosstabs? |
General Relationship - 2 non metric variables |
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Which of the 4 relationships is seen by analyzing correlation? |
Linear Relationship - 2 metric variables |
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3 Characteristics to Evaluate Relationships on |
1. Presence 2. Direction 3. Strength |
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What do crosstabs do? |
Analysis to determine if two non metric variables are associated. |
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2 Components of Crosstabs |
1. Independent (column) variable 2. Dependent (row) variable |
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How do you evaluate presence in crosstabs? |
Test of significance Ex. Sig ≤ 0.05 |
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How do you evaluate direction in crosstabs? |
-It is a general relationship -There is no measurement for direction |
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How do you evaluate strength in crosstabs? |
-Look at the trends |
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3 Steps to interpreting crosstabs with two or more column variable categories |
1. Look for trends across rows 2. No trends? Look for large differences in the whole table 3. Look for patterns by highlighting largest percents in each row |
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How to evaluate correlations using presence? |
-Scatter diagram to visually inspect -Test significance Ex. Sig ≤ 0.05 |
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How to evaluate correlations using direction? |
The + or - sign of the coefficient "r" indicates direction. |
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How to evaluate correlations using strength? |
How close is the correlation coefficient "r" to ±1? Closer means stronger. |
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What does a stronger correlation mean? |
It means it's more important - therefore higher satisfaction should be a priority |
