Komplexität modellieren - Faktorenanalyse am Scheideweg | ISBN, Verlag und Beschreibung

Komplexität modellieren - Faktorenanalyse am Scheideweg - Details zu Inhalt, Autor und Veröffentlichung

Wer nach einem Buch von Suitbert Ertel aus dem Themenfeld Sachbuch sucht, findet mit Komplexität modellieren - Faktorenanalyse am Scheideweg eine Ausgabe mit präziser inhaltlicher Positionierung. Inhaltlich lässt sich Komplexität modellieren - Faktorenanalyse am Scheideweg folgendermaßen zusammenfassen: 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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Verlagsname und Verlagsort - Universitätsverlag Göttingen und xx - helfen dabei, die Ausgabe eindeutig zu identifizieren. Gerade wer nach Werken von Suitbert Ertel sucht, sollte Komplexität modellieren - Faktorenanalyse am Scheideweg näher betrachten. Innerhalb von Sachbuch bietet Komplexität modellieren - Faktorenanalyse am Scheideweg eine klar erkennbare thematische Zuordnung. Die Ausgabe ist in Deutsch verfügbar und damit gezielt für Leserinnen und Leser mit entsprechender Sprachpräferenz interessant.

Thematische Einordnung von Komplexität modellieren - Faktorenanalyse am Scheideweg

Komplexität modellieren - Faktorenanalyse am Scheideweg lässt sich inhaltlich innerhalb von Sachbuch verorten und wird in der Beschreibung wie folgt umrissen: 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 Über die Schlagwörter Psychology, Epidemiology & medical statistics, Research methods: general, Psychological theory & schools of thought lässt sich Komplexität modellieren - Faktorenanalyse am Scheideweg auch in größeren Beständen gezielt auffinden.

Ausgabe, Identifikatoren und Referenzen

Für weiterführende bibliografische Verknüpfungen sind die Kennungen OL20932267W und OL28359275M besonders hilfreich.

Bibliografische Eckdaten dieser Ausgabe

1. Kurzbeschreibung: 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
2. Verfasst von: Suitbert Ertel
3. Titel: Komplexität modellieren - Faktorenanalyse am Scheideweg
4. Primäre Kategorie: Sachbuch
5. Verfügbare Sprache dieser Ausgabe: Deutsch
6. Internationale Standardbuchnummer (ISBN-13): 9783863950132
7. Open-Library-Editions-IDs: OL28359275M
8. Externe Work-Referenz: OL20932267W
9. Ort der Veröffentlichung: xx
10. Publiziert bei: Universitätsverlag Göttingen
11. Thematische Tags: Psychology, Epidemiology & medical statistics, Research methods: general, Psychological theory & schools of thought

Relevanz für Suche und Einordnung

Komplexität modellieren - Faktorenanalyse am Scheideweg profitiert für die Auffindbarkeit besonders von der Verbindung zwischen Suitbert Ertel, Sachbuch und den Tags Psychology, Epidemiology & medical statistics, Research methods: general, Psychological theory & schools of thought, weil dadurch eine starke semantische Einordnung entsteht.

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