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Sozialperspektivität - theoretische Bezüge, Forschungsmethodik und wirtschaftliche Praktikabilität eines beziehungsdiagnostischen Konstrukts

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ISBN: 9783930457632 Year: DOI: 10.17875/gup2004-462 Language: German
Publisher: Universitätsverlag Göttingen
Subject: Psychology --- Social Sciences
Added to DOAB on : 2011-11-04 00:00:00
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Social perspective defines the human skill of changing between the point of view of oneself and the other. It takes meta-perspectives and applies them to the different (suspected) point of views. If one knows how the interaction-partner sees the world, one can assume the partner´s willingness to act and consider it for one´s own plan of action.

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psychology --- prejudice --- behaviour

Factor analysis - Healing an ailing model

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ISBN: 9783863951337 Year: Pages: 160 DOI: 10.17875/gup2013-466 Language: English
Publisher: Universitätsverlag Göttingen
Subject: Psychology
Added to DOAB on : 2013-11-23 08:54:16
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Exploratory factor analysis (EFA) is a statistical tool for digging out hidden factors which give rise to the diversity of manifest objectives in psychology, medicine and other sciences. EFA had its heyday as psychologist Leon Thurstone (1935 and 1948) based EFA on what he called the “principle of simple structure” (SS). This principle, however, was erroneous from the beginning what remained unrecognized despite subsequent inventions of more sophisticated statistical tools such as confirmatory analysis and structural equation modeling. These methods are highly recommended today as tolerable routes to model complexities of observation. But they did not remove the harmful errors that SS had left behind. Five chapters in this book demonstrate and explain the trouble. In chapter 2 the ailment of SS is healed by introducing an unconventional factor rotation, called Varimin. Varimin gives variables of an analysis an optimal opportunity to manifest functional interrelations underlying correlational observations. Ten applications of Varimin (in chapter 2) show that its results are superior to results obtained by the conventional Varimax procedure. Further applications are presented for sports achievements (chapter 3), intelligence (chapter 4), and personality (chapter 5). If Varimin keeps on standing the tests new theoretical building blocks will arise together with conceptual networks promoting a better understanding of the domains under study. Readers may check this prognosis by themselves using the statistical tool (Varimin) which is provided by open access in the internet.

Basiskomponenten der Persönlichkeit

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ISBN: 9783863950392 Year: Pages: 165 DOI: 10.17875/gup2011-465 Language: German
Publisher: Universitätsverlag Göttingen
Subject: Psychology --- Science (General)
Added to DOAB on : 2012-04-11 21:20:13
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Thurstone's principle of simple structure is rejected and replaced by its converse, the principle of complex structure. Varimax, the popular simple structure rotation of factors, is replaced by varimin, a novel procedure taking account of the complexity of investigated variables (s. Ertel, 2011). An exploratory factor analysis of a similarity matrix of 16 kinship terms showed that expected semantic features (sex, generation, nuclear family, lineality) manifest themselves by varimin rotation,while distorted clusters of kinship terms are obtained by varimax rotation. Varimin rotation was also applied to five PCA-factors obtained from 30 facet variables of NEO-PI-R (Ostendorf & Angleitner, 2004). As expected, variminrotated factors do not replicate the Big-Five factors neuroticism, extraversion, etc., they rather reveal basic componential features (usually called „dimensions‟): activation level (high-low), activation slope (ascending-descending), source of regulation (endodynamic- exodynamic), phenomenal quality (endomodal-exomodal), and functionality (eufunctional vs. dysfunctional). The well-known Big-Five factors represent clusters of those features rather than simple dimensions. Sensation seeking, internalexternal control, i. e. further constructs of simple structure- oriented research, are likewise conceivable as patterns of functioning based on those five componential features. The validity of the five features obtained by varimin has largely been confirmed by rankings of the 30 NEO-PI-R facets using the features as judgmental criteria. Replacing Thurstonian simple structure by procedures aiming at complex structure might help to generate a systemic architecture in the personality and individual differences domains. More psychological functioning might be made transparent by modelling patterns of basic features.

Komplexität modellieren - Faktorenanalyse am Scheideweg

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ISBN: 9783863950132 Year: Pages: 184 DOI: 10.17875/gup2011-464 Language: German
Publisher: Universitätsverlag Göttingen
Subject: Internal medicine --- Psychology --- Science (General)
Added to DOAB on : 2011-11-04 00:00:00
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The present study aims at disclosing a methodological prejudice which has misled factor analysis since its beginning. Simple structure, the guiding principle for factor rotation (Thurstone, 1935/1947), is regarded as a questionable dogma. The Thurstone principle impedes the discovery of latent sources of variance on which manifest empirical variables are based. This criticism is elucidated by theoretical considerations and by verbatim quotations of critical authors. The present calamity of factorial research is deemed to be due to general flaws of methodical reasoning. One-sided mathematical formalization in the discipline has lost its objectives by ignoring ordinary sources of knowledge and linguistic processing. The problem of simple structure cannot be solved by circumplex- and structural equation procedures which suffer from the same flaws as simple structure modelling. A paradigm change is overdue. An alternative factor transformation modeling complex structures is demanded, it will be delineated in chapter 2. This chapter is a sequel of chapter 1 (Ertel, 2009) in which varimax, the procedure of factor rotation commonly used to generate simple structure, is replaced with varimin. Varimin aims at manifesting interacting aspects of latent structural components. The model of complexity which is outlined by initial factor extractions is optimized. The new method raises a number of issues of which five are discussed at length. Are varimin factors interpretable Can latent sources of covariance, being complex already by initial solutions, be rendered more complex? Have simple structure solutions in common practice not been tolerable, to say the least? Varimin factor loadings are often bipolar. How to interpret the bipolarity of varimin factors? Does varimin reveal contributions of variance originating from methodical sources? Ten empirical applications of varimin transformation serve as examples. Particular features of transformation to complex structure, revealing latent sources of covariance (by varimin), are compared with pertinent results obtained from transformations to simple structure (by varimax). Varimax will remain useful merely for clustering objectives. Attention is also drawn to limitations of the methodical innovation. Eighteen matrices with intercorrelations of eight subtest variables of the intelligence test I-S-T, widely used in Germany, were subjected to principal component analysis, the resulting factors were rotated by varimin towards optimal complex structure. The 18 varimin solutions were aggregated, two factors resulted: Varimin-F1 represented a general factor g (‘general or basic intelligence’), varimin-F2 represented an achievement-modifying factor, obviously dependent on preceding educational training and learning (‘learning assets’, l). The validity of varimin-F1, general intelligence, was ascertained by high correlations between g and test scores of general intelligence, operationalized by culture-free tests CFT und FRT. The interpretation of varimin-F2 found support by significant correlations with learning-dependent school grades and scores in orthography and arithmetic. The 18 PCA-factors were also transformed by varimax to simple structure. This transformation caused a splitting up of initial g into two seemingly separate factors, called ‘fluid’ and ‘crystallized’ intelligence by convention. In addition, differences between varimax F1 (fluid) and F2 (crystallized) regarding correlations with external criteria (general intelligence vs. school grades, training scores in orthography and arithmetic) which should have emerged were missing. The aggregate of varimax results yielded an unexpected third factor with considerable weight which, however, turned out to be an artifact of simple structure. Apparently, simple structure modelling of intelligence test data blends general intelligence with learning effects. Rotation of intelligence data to simple structure does not reveal, as it should, independent c

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