Error in Variables – Analysis of Covariance Structure

2009 ◽  
pp. 253-293 ◽  
Author(s):  
Hubert Gatignon
Keyword(s):  
Covariance Structure ◽  
Analysis Of Covariance ◽  
Error In Variables

scholarly journals The genetical analysis of covariance structure

Heredity ◽  
1977 ◽  
Vol 38 (1) ◽  
pp. 79-95 ◽  
Author(s):  
N G Martin ◽  
L J Eaves
Keyword(s):  
Covariance Structure ◽  
Analysis Of Covariance ◽  
Genetical Analysis

scholarly journals Measuring Perceived Service Quality and Its Impact on Golf Courses Performance According to Types of Facilities and User Profile

2020 ◽  
Vol 12 (14) ◽  
pp. 5746
Author(s):  
Virginia Serrano-Gómez ◽  
Óscar García-García ◽  
Vicente Gambau i Pinasa ◽  
Mercedes Fernández-Liporace ◽  
Antonio Hernández-Mendo ◽  
...  
Keyword(s):  
User Satisfaction ◽  
Explanatory Power ◽  
Covariance Structure ◽  
User Profile ◽  
Perceived Quality ◽  
Analysis Of Covariance ◽  
Golf Club ◽  
Golf Courses ◽  
Western Spain ◽  
The One

The study was aimed at: (1) Analysing the psychometric features of the QGolf scale, (2) examining the relation between the user’s perceived quality, the club service dimensions, and the golf club performance and, (3) exploring whether a better performance could vary depending on the player’s profile and/or the type of golf course. To do so, 968 users from 13 clubs in north-western Spain golf courses were interviewed. Psychometric and theoretical findings are introduced regarding their further use in field marketing. The causal analysis of covariance structure leads us to state that the human and organisational dimension of the service is key to assess perceived quality. When comparing models, the explanatory power of the Handicap ≥ 20 model was higher than the one concerning Handicap < 20. Thus, the strategy to increase user satisfaction should be quite different depending on whether users are beginners or advanced golf players. Therefore, managers should consider the users’ profiles diversity, their specific needs, and the variety of target-groups involved, on account of the golf course’s interests. This seems the best pathway to achieve sustainability and survival in the area.

Evaluation of Hearing-Impaired Listeners Using a Nonsense-Syllable Test I. Test Reliability

1982 ◽  
Vol 25 (1) ◽  
pp. 135-141 ◽  
Author(s):  
Judy R. Dubno ◽  
Donald D. Dirks
Keyword(s):  
Nonsense Syllable ◽  
Covariance Structure ◽  
Hearing Impaired ◽  
Analysis Of Covariance ◽  
Test Reliability ◽  
Experimental Conditions ◽  
Individual Subject ◽  
Closed Set ◽  
Wide Range ◽  
Recognition Ability

The reliability of a closed-set Nonsense-Syllable Test was determined on a group of 38 listeners with mild-to-moderate sensorineural hearing loss. Eight randomizations of the 91-item test (four trials on each of two days) were presented monaurally, under earphones, at 90 dB SPL with a cafeteria background noise set at a +20-dB S/N ratio. Performance under these conditions ranged from 21.4 to 91.2%, reflecting the wide range of syllable-recognition ability of these subjects. Reliability of the eight measurements was determined by analysis of variance and analysis of covariance structure (parallel-test modelling) for the entire test and each of 11 subtests. Overall and individual subject results failed to show any systematic differences in scores over eight trials. Likewise, no significant differences were found in performance on individual syllables, nor were changes in the relative occurrence of specific syllable confusions noted. This test is highly reliable when evaluating hearing-impaired subjects, and thus is appropriate for use in investigations where identical items are administered under multiple experimental conditions.

scholarly journals ANALYSIS OF THE COVARIANCE STRUCTURE OF DIGITAL RIDGE COUNTS IN THE OFFSPRING OF MONOZYGOTIC TWINS

Genetics ◽  
1983 ◽  
Vol 103 (3) ◽  
pp. 495-512
Author(s):  
Rita M Cantor ◽  
Walter E Nance ◽  
Lindon J Eaves ◽  
Phyllis M Winter ◽  
Marsha M Blanchard
Keyword(s):  
Model Fitting ◽  
Monozygotic Twins ◽  
Covariance Structure ◽  
Monozygotic Twin ◽  
Analysis Of Covariance ◽  
General Factor ◽  
Fitting Procedure ◽  
Rigorous Testing ◽  
The Individual ◽  
Nested Analysis

ABSTRACT Improved methods for analysis of covariance structures now permit the rigorous testing of multivariate genetic hypotheses. Using Jöreskog's Lisrel IV computer program we have conducted a confirmatory factor analysis of dermal ridge counts on the individual fingers of 509 offspring of 107 monozygotic twin pairs. Prior to the initiation of the model-fitting procedure, the sex-adjusted ridge counts for the offspring of male and female twins were partitioned by a multivariate nested analysis of variance yielding five 10 ×10 variance-covariance matrices containing a total of 275 distinctly observed parameters with which to estimate latent sources of genetic and environmental variation and test hypotheses about the factor structure of those latent causes. To provide an adequate explanation for the observed patterns of covariation, it was necessary to include additive genetic, random environmental, epistatic and maternal effects in the model and a structure for the additive genetic effects which included a general factor and allowed for hand assymmetry and finger symmetry. The results illustrate the value of these methods for the analysis of interrelated metric traits.

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