Question:
_________ are statistical techniques that attempt to group data based on underlying similarity, and thus allow for interpretation of the data structures. No distinction is made as to which variables are dependent and which are independent.
_________ are statistical techniques that attempt to group data based on underlying similarity, and thus allow for interpretation of the data structures. No distinction is made as to which variables are dependent and which are independent.
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If there’s no DV/IV and you’re uncovering patterns or groups, think interdependence (cluster, factor, MDS).
Updated On: Aug 18, 2025
- Interdependence techniques
- Dependence techniques
- Multivariate techniques
- Univariate techniques
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The Correct Option is A
Solution and Explanation
Step 1: Identify the clue.
“Group data based on similarity” and “no DV/IV distinction” point to interdependence methods (e.g., cluster analysis, factor analysis, multidimensional scaling).
Step 2: Eliminate distractors.
(b) Dependence requires a specified dependent variable.
(c) “Multivariate” is broad and includes both dependence and interdependence; the stem is specific.
(d) Univariate uses one variable at a time.
\[ \boxed{(a)} \]
“Group data based on similarity” and “no DV/IV distinction” point to interdependence methods (e.g., cluster analysis, factor analysis, multidimensional scaling).
Step 2: Eliminate distractors.
(b) Dependence requires a specified dependent variable.
(c) “Multivariate” is broad and includes both dependence and interdependence; the stem is specific.
(d) Univariate uses one variable at a time.
\[ \boxed{(a)} \]
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