William R Dillon
Biographic Data
| ID | 361616 |
|---|---|
| NAME | William R Dillon |
| GIVEN NAMES | William R |
| FAMILY NAME | Dillon |
| SIGNATURE | DILLON W R |
| AFFILIATIONS | Baruch College |
| VERIFIED | No |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1979 |
| LATEST PUBLICATION YEAR | 2010 |
| H-INDEX | 1 |
Simultaneous Two-Way Clustering of Multiple Correspondence Analysis
A 2-way clustering approach to multiple correspondence analysis is proposed to account for cluster-level heterogeneity of both respondents and variable categories in multivariate categorical data. Specifically, in the proposed method, multiple correspondence analysis is combined with k-means in a unified framework in which k-means is applied twice to partition the object scores of respondents and the weights of variable categories. In this way, j…
A simulation study to investigate the use of cutoff values for assessing model fit in covariance structure models
Measurement
On the Use of Component Scores in the Presence of Group Structure
Examination of the properties of component scores in the presence of group structure shows that the first few components extracted, typically viewed as most informative regarding total variance, do not necessarily contain the most information across group differences. A method for identifying informative components that account for across group differences is presented and illustrated
Offending estimates in covariance structure analysis: Comments on the causes of and solutions to Heywood cases
Offending estimates in covariance structure analysis: Comments on the causes of and solutions to Heywood cases
In this article we discuss, illustrate, and compare the relative efficacy of three recommended approaches for handling negative error variance estimates (i.e., Heywood cases): (a) setting the offending estimate to zero, (b) adopting a model parameterization that ensures positive error variance estimates, and (c) using models with equality constraints that ensure nonnegative (but possibly zero) error variance estimates. The three approaches are ev…
Multivariate Analysis: Methods and Applications
Attitude organization and the attitude-behavior relation: A critique of Bagozzi and Burnkrant's reanalysis of Fishbein and Ajzen
Attitude organization and the attitude–behavior relation: A critique of Bagozzi and Burnkrant's reanalysis of Fishbein and Ajzen
Les auteurs ont reexamine les tests empiriques rapportes par Bagozzi & Burnkrant, concernant la validite convergente et nomologique des modeles d'attitudes a composants multiples ou uniques
Decision Issues in Building Perceptual Product Spaces with Multi-Attribute Rating Data
This paper considers decisions that face consumer researchers as they implement a perceptual product space analysis based on multi-attribute rating data. Decisions that affect the structure of the derived perceptual product space solution can be grouped into six major categories relating to issues of (1) data input, (2) mode, (3) preprocessing transformation, (4) choice/preference modeling, (5) technique, and (6) solution. The major difficulties …
A Probabilistic Latent Class Model for Assessing Inter-Judge Reliability
Increasingly behavioral researchers are soliciting cognitive responses in addition to standard attitudinal measures when attempting to assess the effects of persuasive communications. The coding of the elicited cognitive responses generally involves some sort of categorization, typically undertaken by independent judges, and the quality of the data is, to a large degree, evaluated in terms of some reliability coefficient which reflects the extent…
Neighborhood Influences on Travel Behavior and Availability Constraints
Traditionally, transportation demand studies have, for the most part, viewed modal choice in terms of an aggregate system-wide function. However, it seems reasonable to expect that the travel decision may be influenced by a composite of factors that include not only availability conditions, but determinants relating to neighborhood characteristics and peer-group pressures. In this paper, supply-side constraints on availability were used to segmen…
Analyzing sequential categorical data on dyadic interaction: A latent structure approach
Scaling Models for Categorical Variables: An Application of Latent Structure Models
Journal Article Scaling Models for Categorical Variables: An Application of Latent Structure Models Get access William R. Dillon, William R. Dillon Search for other works by this author on: Oxford Academic PubMed Google Scholar Thomas J. Madden, Thomas J. Madden Search for other works by this author on: Oxford Academic PubMed Google Scholar Narendra Mulani Narendra Mulani Search for other works by this author on: Oxford Academic PubMed Google Sch…
Analyzing sequential categorical data on dyadic interaction: A latent structure approach
A Measure Of Separability And Random Zeros In Statistical Classification
The setting for this study is the two-group multinomial classification problem. Based on a measure of the log odds in favor of one particular group, a large sample confidence interval for a measure of separability is derived. The asymptotic result employed assumes that all states have positive observed frequencies. Realizing that this assumption is often violated, we consider a method based upon log-linear representation of state frequencies to f…
Discrete Discriminant Analysis
On the Use of Component Scores in the Presence of Group Structure
Examination of the properties of component scores in the presence of group structure shows that the first few components extracted, typically viewed as most informative regarding total variance, do not necessarily contain the most information across group differences. A method for identifying informative components that account for across group differences is presented and illustrated
Attitude organization and the attitude–behavior relation: A critique of Bagozzi and Burnkrant's reanalysis of Fishbein and Ajzen
Les auteurs ont reexamine les tests empiriques rapportes par Bagozzi & Burnkrant, concernant la validite convergente et nomologique des modeles d'attitudes a composants multiples ou uniques
Decision Issues in Building Perceptual Product Spaces with Multi-Attribute Rating Data
This paper considers decisions that face consumer researchers as they implement a perceptual product space analysis based on multi-attribute rating data. Decisions that affect the structure of the derived perceptual product space solution can be grouped into six major categories relating to issues of (1) data input, (2) mode, (3) preprocessing transformation, (4) choice/preference modeling, (5) technique, and (6) solution. The major difficulties …
Discrete Discriminant Analysis
A Measure Of Separability And Random Zeros In Statistical Classification
The setting for this study is the two-group multinomial classification problem. Based on a measure of the log odds in favor of one particular group, a large sample confidence interval for a measure of separability is derived. The asymptotic result employed assumes that all states have positive observed frequencies. Realizing that this assumption is often violated, we consider a method based upon log-linear representation of state frequencies to f…
Analyzing sequential categorical data on dyadic interaction: A latent structure approach
Scaling Models for Categorical Variables: An Application of Latent Structure Models
Journal Article Scaling Models for Categorical Variables: An Application of Latent Structure Models Get access William R. Dillon, William R. Dillon Search for other works by this author on: Oxford Academic PubMed Google Scholar Thomas J. Madden, Thomas J. Madden Search for other works by this author on: Oxford Academic PubMed Google Scholar Narendra Mulani Narendra Mulani Search for other works by this author on: Oxford Academic PubMed Google Sch…
Analyzing sequential categorical data on dyadic interaction: A latent structure approach
A Probabilistic Latent Class Model for Assessing Inter-Judge Reliability
Increasingly behavioral researchers are soliciting cognitive responses in addition to standard attitudinal measures when attempting to assess the effects of persuasive communications. The coding of the elicited cognitive responses generally involves some sort of categorization, typically undertaken by independent judges, and the quality of the data is, to a large degree, evaluated in terms of some reliability coefficient which reflects the extent…
Neighborhood Influences on Travel Behavior and Availability Constraints
Traditionally, transportation demand studies have, for the most part, viewed modal choice in terms of an aggregate system-wide function. However, it seems reasonable to expect that the travel decision may be influenced by a composite of factors that include not only availability conditions, but determinants relating to neighborhood characteristics and peer-group pressures. In this paper, supply-side constraints on availability were used to segmen…
Multivariate Analysis: Methods and Applications
Attitude organization and the attitude-behavior relation: A critique of Bagozzi and Burnkrant's reanalysis of Fishbein and Ajzen
Attitude organization and the attitude–behavior relation: A critique of Bagozzi and Burnkrant's reanalysis of Fishbein and Ajzen
Les auteurs ont reexamine les tests empiriques rapportes par Bagozzi & Burnkrant, concernant la validite convergente et nomologique des modeles d'attitudes a composants multiples ou uniques
Decision Issues in Building Perceptual Product Spaces with Multi-Attribute Rating Data
This paper considers decisions that face consumer researchers as they implement a perceptual product space analysis based on multi-attribute rating data. Decisions that affect the structure of the derived perceptual product space solution can be grouped into six major categories relating to issues of (1) data input, (2) mode, (3) preprocessing transformation, (4) choice/preference modeling, (5) technique, and (6) solution. The major difficulties …
Offending estimates in covariance structure analysis: Comments on the causes of and solutions to Heywood cases
Offending estimates in covariance structure analysis: Comments on the causes of and solutions to Heywood cases
In this article we discuss, illustrate, and compare the relative efficacy of three recommended approaches for handling negative error variance estimates (i.e., Heywood cases): (a) setting the offending estimate to zero, (b) adopting a model parameterization that ensures positive error variance estimates, and (c) using models with equality constraints that ensure nonnegative (but possibly zero) error variance estimates. The three approaches are ev…
On the Use of Component Scores in the Presence of Group Structure
Examination of the properties of component scores in the presence of group structure shows that the first few components extracted, typically viewed as most informative regarding total variance, do not necessarily contain the most information across group differences. A method for identifying informative components that account for across group differences is presented and illustrated
Measurement
A simulation study to investigate the use of cutoff values for assessing model fit in covariance structure models
Simultaneous Two-Way Clustering of Multiple Correspondence Analysis
A 2-way clustering approach to multiple correspondence analysis is proposed to account for cluster-level heterogeneity of both respondents and variable categories in multivariate categorical data. Specifically, in the proposed method, multiple correspondence analysis is combined with k-means in a unified framework in which k-means is applied twice to partition the object scores of respondents and the weights of variable categories. In this way, j…
Computer Science (12 works) · Mathematics (11 works) · Psychology (11 works) · Statistics (9 works) · Econometrics (7 works) · Artificial Intelligence (6 works) · Artificial Intelligence (6 works) · Advanced Statistical Methods and Models (4 works) · Categorical variable (4 works) · Sensory Analysis and Statistical Methods (4 works)