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Exploratory Factor Analysis |
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Generally executed to explain the relationships among a large number of variables in terms of a much smaller number of constructs |
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The vector following the accepted trial vector; to find, multiply by root of eigenvalue instead of eigenvalue |
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Multiply each column by its sum divided by the RootSS of the matrix |
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First principal component |
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Measures variance accounted for by an individual component; RootSS |
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Sum of the squared loadings for an item; measures the amount of variance in that item accounted for by all the extracted factors |
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That which all the items hold in common |
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Vector obtained from multiplying a converged characteristic vector by the square root of the eigenvalue |
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Adjusting axes to fit variable vectors |
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Orthogonal vs. Oblique Factors |
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Perpendicular and uncorrelated vs. non-perpendicular and correlated |
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Perpendicular & uncorrelated vs. non-perpendicular & correlated |
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Replicable, interpretive parsimony |
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Eigenvalue vs. Component Number |
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Lower-Order vs. Higher-Order Factors |
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Unambiguous quantification of an attribute |
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In the order of the amount of information that they provide, the scale types are Nominal, Ordinal, Interval, and Ratio |
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Ceiling vs. Floor of Scale |
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Maximum score vs. minumum score of scale is too easily reached |
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A significant zero for the scale vs. a significant interval of change |
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Criterion-Referenced vs. Norm-Referenced measures |
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Raw score vs. relative score |
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Linear vs. Non-Linear Transformation |
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Ordinal and relative retained vs. only ordinal retained |
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A specific level of an attribute is identified by only one level in measurement; it does not map onto multiple, different levels of measurement |
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Scale-to-Attribute Correspondence (Clear vs. Fuzzy) |
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Numeric and attribute map uniquely onto each other vs. only numeric maps uniquely onto attribute |
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Equal to correlation under ideal measurement assumptions |
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How consistently the test will yield the same results |
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The degree to which some component of the score does not change between administrations of the measure |
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Alternate Forms Reliability |
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All of the items are different but about the same thing |
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Parallel Forms vs. Alternate Forms |
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Content-Parallel Test Construction |
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Questions are paired, imitative, and randomly assigned |
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Content-Equivalent Test Construction |
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Questions drawn independently from domain and identified as homogeneous |
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Coefficient of Equivalence |
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How much two tests have in common regarding the types of questions included |
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Standard Error of Measurement/Estimate |
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