Die faktorielle Struktur des Partnerschaftsfragebogens

Zusammenfassung. Theoretischer Hintergrund: Der Partnerschaftsfragebogen (PFB) wird im deutschen Sprachraum zur Erfassung der Partnerschafts- und Ehequalität bevorzugt eingesetzt. Fragestellung: Neben der Überprüfung der Eindimensionalität der PFB-Subskalen (Streitverhalten, Zärtlichkeit, Gemeinsamkeit/Kommunikation) wird in der vorliegenden Arbeit überprüft, ob das Zusammenfassen der PFB-Subskalen zu einem Generalfaktor „Partnerschaftsqualität” angemessen ist. Methoden: Es wurden Daten einer Bevölkerungsstichprobe für die Bundesrepublik Deutschland genutzt (N = 1.289). Aufgrund der Abweichung von einer multivariaten Normalverteilung wurden konfirmatorische Faktorenanalysen mittels Maximum-Likelihood-Methode mit robusten Standardfehlern und einem mittelwertsadjustierten Chi2-Wert (Satorra-Bentler-scaled-χ2) durchgeführt. Ergebnisse: Es ergaben sich sowohl für die Eindimensionalität der PFB-Subskalen als auch für die Second-Order-Faktorenanalyse sehr gute Modellanapassungen. Schlussfolgerungen: Die Subsumierung der PFB-Items zu Skalenwerten sowie der PFB-Subskalen zu einem Gesamtwert kann als angemessen eingestuft werden.

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Second-order biases of maximum likelihood estimates in overdispersed generalized linear models

Statistics & Probability Letters ◽

10.1016/s0167-7152(01)00150-x ◽

2001 ◽

Vol 55 (3) ◽

pp. 269-280 ◽

Cited By ~ 7

Author(s):

Gauss M. Cordeiro ◽

Denise A. Botter

Keyword(s):

Maximum Likelihood ◽

Generalized Linear Models ◽

Linear Models ◽

Second Order ◽

Maximum Likelihood Estimates

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Maximum likelihood detection of a mimo system using second order cone programming approach

IEEE 5th Workshop on Signal Processing Advances in Wireless Communications, 2004. ◽

10.1109/spawc.2004.1439256 ◽

2005 ◽

Author(s):

E. Khan

Keyword(s):

Maximum Likelihood ◽

Mimo System ◽

Second Order ◽

Programming Approach ◽

Cone Programming ◽

Second Order Cone Programming ◽

Maximum Likelihood Detection ◽

Second Order Cone

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Maximum likelihood estimation and the local asymptotic mixed normality in a second order branching process with continuous state space

Stat ◽

10.1002/sta4.430 ◽

2021 ◽

Author(s):

Mukund Ramtirthkar ◽

Mohan Kale

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

State Space ◽

Branching Process ◽

Likelihood Estimation ◽

Second Order ◽

Continuous State Space ◽

Continuous State ◽

Asymptotic Mixed Normality

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Second-order semi-blind adaptive interference cancellation: maximum likelihood solution

IEEE 5th Workshop on Signal Processing Advances in Wireless Communications, 2004. ◽

10.1109/spawc.2004.1439231 ◽

2005 ◽

Cited By ~ 2

Author(s):

Y.I. Abramovich ◽

A.M. Kuzminskiy

Keyword(s):

Maximum Likelihood ◽

Interference Cancellation ◽

Second Order ◽

Blind Adaptive

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Interval-Based Maximum Likelihood Benchmark for Adaptive Second-Order Asynchronous CCI Cancellation

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 ◽

10.1109/icassp.2007.366373 ◽

2007 ◽

Cited By ~ 1

Author(s):

Alexandr M. Kuzminskiy ◽

Yuri I. Abramovich

Keyword(s):

Maximum Likelihood ◽

Second Order

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On the second order local comparison between perturbed maximum likelihood estimators and Rao's statistic as test statistics

Journal of Multivariate Analysis ◽

10.1016/0047-259x(88)90048-6 ◽

1988 ◽

Vol 25 (2) ◽

pp. 201-222 ◽

Cited By ~ 6

Author(s):

Tapas K Chandra ◽

Tapas Samanta

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimators ◽

Second Order ◽

Test Statistics ◽

Local Comparison

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Full maximum likelihood estimation of second- order autoregressive error models

Journal of Econometrics ◽

10.1016/0304-4076(78)90068-4 ◽

1978 ◽

Vol 7 (2) ◽

pp. 187-198 ◽

Cited By ~ 11

Author(s):

Charles M. Beach ◽

James G. MacKinnon

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Likelihood Estimation ◽

Second Order ◽

Error Models

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Validity of Higher-Order Ability Constructs in Structure-of-Intellect Tests All Involving Semantic Content and Operations of Cognition or Evaluation: A Confirmatory Maximum Likelihood Factor Analysis

Educational and Psychological Measurement ◽

10.1177/001316448504500220 ◽

1985 ◽

Vol 45 (2) ◽

pp. 353-359 ◽

Cited By ~ 8

Author(s):

David E. Mace ◽

William B. Michael ◽

Dennis Hocevar

Keyword(s):

Factor Analysis ◽

Maximum Likelihood ◽

Semantic Content ◽

Higher Order ◽

Second Order ◽

Third Order ◽

Maximum Likelihood Factor Analysis ◽

Practical Standpoint ◽

Order Factor ◽

Structure Of Intellect

Through use of confirmatory maximum likelihood factor analysis in conjunction with the LISREL V computer program devised by Jöreskog and Sörbom, an evaluation was made of the validity of higher-order ability constructs in structure-of-intellect tests all containing semantic content and operations of cognition or evaluation. The hypothesized first-, second-, and third-order factors were all reproducible with every one of the estimated factor loadings being significant beyond the .01 level. Although the first- and second-order factors were shown to be reproducible and statistically separable, the high intercorrelations among the six first-order product factors and the two second-order operations factors would suggest from a practical standpoint that the single third-order factor of semantic content would constitute a plausible alternative for accounting for much of the covariance among the test variables.

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