Standardized scores including factor scores are insufficient indicators of individuals' positions on personality traits when mean scores deviate considerably from the scale origin. Anchored scores, that is, raw scores expressed as deviations from the scale midpoint and divided by the standard deviation, retain this discrepancy. We argue in favour of reporting in terms of anchored scores in addition to standard scores, and present a solution to the specific problem of finding anchored factor (i.e., principal-component) scores. Such scores are obtained through dividing factor weights by the standard deviation of the variable in question, and applying the corrected weights to the matrix of raw scores, expressed as deviations from the scale mid...
<p>Factor score coefficients resulting from principal component analysis of the shape ratings provid...
Factor analysis (FA) is the most widely used modeling approach for developing and assessing psychome...
The main purpose of this article is: given a score matrix called S, find out the joint proportional ...
Standardized scores including factor scores are insufficient indicators of individuals' positions on...
The standard practice in scoring questionnaires consists of adding item scores and standardizing the...
A profile is a vector of scores for one examinee. The mean score in the vector can be interpreted as...
Hofstee and Ten Berge (2004/this issue) present procedures based on an absolute conception of scales...
Hofstee and Ten Berge (2004/this issue) present procedures based on an absolute conception of scales...
Standard procedures for processing and interpreting data in personality assessment run the risk of l...
Trait structures resulting from personality assessments on Likert scales are affected by the additiv...
Trait structures resulting from personality assessments on Likert scales are affected by the additiv...
Standard procedures for processing and interpreting data in personality assessment run the risk of l...
Ipsatizing variables prior to component analysis, by subtracting the mean score of each individual f...
Konstabel, Aavik, and Allik (2006) have found that controlling for social desirability in self- and ...
<p>Factor score coefficients resulting from principal component analysis of the shape ratings provid...
Factor analysis (FA) is the most widely used modeling approach for developing and assessing psychome...
The main purpose of this article is: given a score matrix called S, find out the joint proportional ...
Standardized scores including factor scores are insufficient indicators of individuals' positions on...
The standard practice in scoring questionnaires consists of adding item scores and standardizing the...
A profile is a vector of scores for one examinee. The mean score in the vector can be interpreted as...
Hofstee and Ten Berge (2004/this issue) present procedures based on an absolute conception of scales...
Hofstee and Ten Berge (2004/this issue) present procedures based on an absolute conception of scales...
Standard procedures for processing and interpreting data in personality assessment run the risk of l...
Trait structures resulting from personality assessments on Likert scales are affected by the additiv...
Trait structures resulting from personality assessments on Likert scales are affected by the additiv...
Standard procedures for processing and interpreting data in personality assessment run the risk of l...
Ipsatizing variables prior to component analysis, by subtracting the mean score of each individual f...
Konstabel, Aavik, and Allik (2006) have found that controlling for social desirability in self- and ...
<p>Factor score coefficients resulting from principal component analysis of the shape ratings provid...
Factor analysis (FA) is the most widely used modeling approach for developing and assessing psychome...
The main purpose of this article is: given a score matrix called S, find out the joint proportional ...