Christof Schuster
Biographic Data
| ID | 6513969 |
|---|---|
| NAME | Christof Schuster |
| GIVEN NAMES | Christof |
| FAMILY NAME | Schuster |
| SIGNATURE | SCHUSTER C |
| AFFILIATIONS | University of Notre Dame |
| ORCID | 0000-0002-9633-611X |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2001 |
| LATEST PUBLICATION YEAR | 2017 |
| H-INDEX | 0 |
The Graded Response Differential Discrimination Model Accounting for Extreme Response Style
Extreme response style or, more generally, individual differences in response spacing have been shown to be an influential bias when analyzing questionnaire data. Recently a promising model adjusting for this bias - the differential discrimination model - has been proposed. An advantage to other related approaches is that the model can be fitted using standard structural equation modeling software. However, the model is designed for analyzing con…
Consistent Differential Discrimination Model Estimation
A novel factor-analytic model-the differential discrimination model-for assessing individual differences in scale use has been recently introduced, together with a three-stage estimation approach for model fitting. Unfortunately, the second-stage estimator and, as a consequence, the third-stage estimator of this procedure are not consistent. In this article we show that (a) the differential discrimination model can be expressed in a structural eq…
Statistik für Human- und Sozialwissenschaftler
Estimating with a Latent Class Model the Reliability of Nominal Judgments Upon Which Two Raters Agree
Because nominal-scale judgments cannot directly be aggregated into meaningful composites, the addition of a second rater is usually motivated by a desire to estimate the quality of a single rater's classifications rather than to improve reliability. When raters agree, the aggregation problem does not arise. Nevertheless, a proportion of this agreement is likely to have occurred by chance, so reliability issues remain even if the focus is on nomin…
A Note on the Interpretation of Weighted Kappa and its Relations to Other Rater Agreement Statistics for Metric Scales
This article presents a formula for weighted kappa in terms of rater means, rater variances, and the rater covariance that is particularly helpful in emphasizing that weighted kappa is an absolute agreement measure in the sense that it is sensitive to differences in rater’s marginal distributions. Specifically, rater mean differences will decrease the value of weighted kappa relative to the value of the intraclass correlation that ignores mean di…
Estimating the Dilution Effect Due to Unreliability of Dichotomous Outcome Variables From Kappa
If category-specific reliabilities are constant across groups, the difference in group-specific "success" probabilities estimated from an unreliable dichotomous outcome variable can be shown to be diluted. Thus, although an intervention may truly have a sizable effect, this effect may not be detectable because of unreliability of the outcome variable. This article explores the dilution effect in a latent class analysis framework in which reliabil…
Log-Linear Models for Change in Manifest Categorical Variables
Applied developmental scientists engaged in the evaluation of community-based programs, in tests of therapeutic effectiveness, or in developmental research on special populations (e.g., youth gang members, street children, or refugees) must often conduct individual or contextual analyses that involve multiple categorizations over time. This article discusses models for analysis of change in cross classifications of nominal or ordinal variables. E…
Preface to the Jar Special Issue
The Relationship of Anova Models with Random Effects and Repeated Measurement Designs
Understanding ANOVA models is often difficult because of the large amount of different experimental designs presented in applied textbooks.This article shows how different experimental designs arise out of the variation of three basic distinctions: block versus treatment factors, fixed versus random factors, and crossed versus nested factors.Once it is understood how each distinction influences the statistical analysis, the amount of experimental…
Sampling Schemes and the Selection of Log-Linear Models for Longitudinal Data
Because the selection of a sampling scheme can have strong effects on the admissibility of log-linear models, the authors discuss these effects for the multinomial and the product multinomial sampling schemes for prospective and retrospective sampling.In multi-nomial sampling, marginal frequencies are not fixed a priori.In product multinomial sampling, uni-or multidimensional marginal frequencies are considered fixed.Therefore, models must fit th…
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Preface to the Jar Special Issue
The Relationship of Anova Models with Random Effects and Repeated Measurement Designs
Understanding ANOVA models is often difficult because of the large amount of different experimental designs presented in applied textbooks.This article shows how different experimental designs arise out of the variation of three basic distinctions: block versus treatment factors, fixed versus random factors, and crossed versus nested factors.Once it is understood how each distinction influences the statistical analysis, the amount of experimental…
Sampling Schemes and the Selection of Log-Linear Models for Longitudinal Data
Because the selection of a sampling scheme can have strong effects on the admissibility of log-linear models, the authors discuss these effects for the multinomial and the product multinomial sampling schemes for prospective and retrospective sampling.In multi-nomial sampling, marginal frequencies are not fixed a priori.In product multinomial sampling, uni-or multidimensional marginal frequencies are considered fixed.Therefore, models must fit th…
Log-Linear Models for Change in Manifest Categorical Variables
Applied developmental scientists engaged in the evaluation of community-based programs, in tests of therapeutic effectiveness, or in developmental research on special populations (e.g., youth gang members, street children, or refugees) must often conduct individual or contextual analyses that involve multiple categorizations over time. This article discusses models for analysis of change in cross classifications of nominal or ordinal variables. E…
Estimating the Dilution Effect Due to Unreliability of Dichotomous Outcome Variables From Kappa
If category-specific reliabilities are constant across groups, the difference in group-specific "success" probabilities estimated from an unreliable dichotomous outcome variable can be shown to be diluted. Thus, although an intervention may truly have a sizable effect, this effect may not be detectable because of unreliability of the outcome variable. This article explores the dilution effect in a latent class analysis framework in which reliabil…
A Note on the Interpretation of Weighted Kappa and its Relations to Other Rater Agreement Statistics for Metric Scales
This article presents a formula for weighted kappa in terms of rater means, rater variances, and the rater covariance that is particularly helpful in emphasizing that weighted kappa is an absolute agreement measure in the sense that it is sensitive to differences in rater’s marginal distributions. Specifically, rater mean differences will decrease the value of weighted kappa relative to the value of the intraclass correlation that ignores mean di…
Estimating with a Latent Class Model the Reliability of Nominal Judgments Upon Which Two Raters Agree
Because nominal-scale judgments cannot directly be aggregated into meaningful composites, the addition of a second rater is usually motivated by a desire to estimate the quality of a single rater's classifications rather than to improve reliability. When raters agree, the aggregation problem does not arise. Nevertheless, a proportion of this agreement is likely to have occurred by chance, so reliability issues remain even if the focus is on nomin…
Statistik für Human- und Sozialwissenschaftler
Consistent Differential Discrimination Model Estimation
A novel factor-analytic model-the differential discrimination model-for assessing individual differences in scale use has been recently introduced, together with a three-stage estimation approach for model fitting. Unfortunately, the second-stage estimator and, as a consequence, the third-stage estimator of this procedure are not consistent. In this article we show that (a) the differential discrimination model can be expressed in a structural eq…
The Graded Response Differential Discrimination Model Accounting for Extreme Response Style
Extreme response style or, more generally, individual differences in response spacing have been shown to be an influential bias when analyzing questionnaire data. Recently a promising model adjusting for this bias - the differential discrimination model - has been proposed. An advantage to other related approaches is that the model can be fitted using standard structural equation modeling software. However, the model is designed for analyzing con…
Mathematics (8 works) · Statistics (8 works) · Computer Science (7 works) · Econometrics (6 works) · Psychology (4 works) · Advanced Statistical Methods and Models (3 works) · Artificial Intelligence (3 works) · Reliability and Agreement in Measurement (3 works) · Advanced Statistical Modeling Techniques (2 works) · Artificial Intelligence (2 works)