naa a22 4500 510776744 CHVBK 20180411083233.0 cr unu---uuuuu 180411e20130901xx s 000 0 eng 10.3758/s13428-012-0295-9 doi (NATIONALLICENCE)springer-10.3758/s13428-012-0295-9 SCA with rotation to distinguish common and distinctive information in linked data [Elektronische Daten] [Martijn Schouteden, Katrijn Van Deun, Sven Pattyn, Iven Van Mechelen] Often data are collected that consist of different blocks that all contain information about the same entities (e.g., items, persons, or situations). In order to unveil both information that is common to all data blocks and information that is distinctive for one or a few of them, an integrated analysis of the whole of all data blocks may be most useful. Interesting classes of methods for such an approach are simultaneous-component and multigroup factor analysis methods. These methods yield dimensions underlying the data at hand. Unfortunately, however, in the results from such analyses, common and distinctive types of information are mixed up. This article proposes a novel method to disentangle the two kinds of information, by making use of the rotational freedom of component and factor models. We illustrate this method with data from a cross-cultural study of emotions. Psychonomic Society, Inc., 2013 Simultaneous component analysis nationallicence Multigroup factor analysis nationallicence Rotation nationallicence Common information nationallicence Distinctive information nationallicence Schouteden Martijn Research Group for Quantitative Psychology and Individual Differences, KU Leuven, Leuven, Belgium aut Van Deun Katrijn Research Group for Quantitative Psychology and Individual Differences, KU Leuven, Leuven, Belgium aut Pattyn Sven Department of Developmental, Personality and Social Psychology, Universiteit Gent, Ghent, Belgium aut Van Mechelen Iven Research Group for Quantitative Psychology and Individual Differences, KU Leuven, Leuven, Belgium aut Behavior Research Methods Springer US; http://www.springer-ny.com 45/3(2013-09-01), 822-833 45:3<822 2013 45 13428 https://doi.org/10.3758/s13428-012-0295-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.3758/s13428-012-0295-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Schouteden Martijn Research Group for Quantitative Psychology and Individual Differences, KU Leuven, Leuven, Belgium aut NATIONALLICENCE 700 1- Van Deun Katrijn Research Group for Quantitative Psychology and Individual Differences, KU Leuven, Leuven, Belgium aut NATIONALLICENCE 700 1- Pattyn Sven Department of Developmental, Personality and Social Psychology, Universiteit Gent, Ghent, Belgium aut NATIONALLICENCE 700 1- Van Mechelen Iven Research Group for Quantitative Psychology and Individual Differences, KU Leuven, Leuven, Belgium aut NATIONALLICENCE 773 0- Behavior Research Methods Springer US; http://www.springer-ny.com 45/3(2013-09-01), 822-833 45:3<822 2013 45 13428 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer