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Papers by Lawrence Hubert

Research paper thumbnail of Evaluating Priority Effects in Free Recall. Report from the Project on Children's Learning and Development. Theoretical Paper No. 66

Research paper thumbnail of The comparison of related data sets: Examples from multidimensional scaling and cluster analysis

Papers in Regional Science, Dec 1, 1981

Research paper thumbnail of Combinatorial procedures for the analysis of alternate models: An example from interregional migration

Papers in Regional Science, Dec 1, 1983

Research paper thumbnail of Rater agreement for complex assessments

British Journal of Mathematical and Statistical Psychology, Nov 1, 1983

A general strategy is proposed for measuring and testing the agreement between two raters who use... more A general strategy is proposed for measuring and testing the agreement between two raters who use some common scheme for assessing each of n objects. As long as a numerical measure of correspondence or proximity can be obtained between any two assessments, an agreement index can be defined and tested for significance under a null conjecture of rater independence. The usual weighted kappa index appropriate for nominal scale response agreement is a special case of our more comprehensive framework.

Research paper thumbnail of Spanning Trees and Aspects of Clustering

British Journal of Mathematical and Statistical Psychology, May 1, 1974

The concept of a spanning tree for a weighted graph is used to characterize several methods of cl... more The concept of a spanning tree for a weighted graph is used to characterize several methods of clustering a set of objects. In particular, most of the paper is devoted to stating relationships between spanning trees, single‐link and complete‐link hierarchical clustering, network flow and two divisive clustering procedures. Several related topics using the notion of a spanning tree are also mentioned.

Research paper thumbnail of 6. Additive Trees for Symmetric Proximity Data

The Structural Representation of Proximity Matrices with MATLAB, 2006

Research paper thumbnail of 3. Circular Scaling

The Structural Representation of Proximity Matrices with MATLAB, 2006

Research paper thumbnail of 3. Cluster Analysis

Combinatorial Data Analysis, 2001

Research paper thumbnail of A formal model for the perceptual processing of geometric configurations

Research paper thumbnail of 7. Fitting Multiple Tree Structures to a Symmetric Proximity Matrix

Research paper thumbnail of 11. Anti-Robinson Matrices for Two-Mode Proximity Data

Research paper thumbnail of 9. Anti-Robinson Matrices for Symmetric Proximity Data

The Structural Representation of Proximity Matrices with MATLAB, 2006

Research paper thumbnail of 10. Circular Anti-Robinson Matrices for Symmetric Proximity Data

Research paper thumbnail of 8. Ultrametrics and Additive Trees for Two-Mode (Rectangular) Proximity Data

Research paper thumbnail of Commentaries on the Ten Most Highly Cited Psychometrika Articles from 1936 to the Present

Research paper thumbnail of 4. LUS for Two-Mode Proximity Data

The Structural Representation of Proximity Matrices with MATLAB, 2006

Research paper thumbnail of The Data Theory Scaling System

Studies in Classification, Data Analysis, and Knowledge Organization, 1998

Optimal scaling is reviewed in the framework of a comprehensive multidimensional data analysis st... more Optimal scaling is reviewed in the framework of a comprehensive multidimensional data analysis strategy, called the Data Theory Scaling System (DTSS). The optimal scaling methodology has a lot of potential for the analysis of multivariate data that are qualitative, non-normally distributed, or incomplete. Also, the system can easily deal with nonlinear relationships between the variables to be analyzed. A crucial aspect of DTSS is the graphical display of the results of the analysis. The most recent developments of DTSS include the integration of optimal scaling with combinatorial data analysis, e.g., ordering tasks in one dimension, and the fitting of graphs to multivariate data.

Research paper thumbnail of Order-Dependent Measures of Correspondence for Comparing Proximity Matrices and Related Structures

Measuring the Unmeasurable, 1985

Research paper thumbnail of Heritability of nociception II. ‘Types’ of nociception revealed by genetic correlation analysis

Research paper thumbnail of A Comparison of Interval Estimation of Coefficient Alpha Using the Feldt and the Jackknife Procedures

This investigation had two major purposes. The first was to explore the use of an inferential tec... more This investigation had two major purposes. The first was to explore the use of an inferential technique called Tukeys Jackknife in establishing a confidence interval about cooefficient alpha reliability. The second purpose was to study the robustness of the Feldt and the jackknife procedures when the data fails to satisfy usual normality assumptions. Using a linear model of test score, computer simulated data representing a matched item-examinee sample from th3ir respective populations was employed. The two jackknife procedures, is this situation, were less conservative. For log-normal distributions of examinee score components, Feldt's procedure gave reasonable interval estimates for low values (=.60) of population alpha, but for higher values of population alpha (=.90), the Feldt procedure was not found to be robust. The two Jackknife procedures, on the other hand, were found to be relatively robust over the entire range of investigation of values of alpha. None of the procedures was found useful in interval estimation of coefficient alpha when the distribution of examinee score components were of extreme double-exponential form. (RC) rt BEST COPY AVAILABLE

Research paper thumbnail of Evaluating Priority Effects in Free Recall. Report from the Project on Children's Learning and Development. Theoretical Paper No. 66

Research paper thumbnail of The comparison of related data sets: Examples from multidimensional scaling and cluster analysis

Papers in Regional Science, Dec 1, 1981

Research paper thumbnail of Combinatorial procedures for the analysis of alternate models: An example from interregional migration

Papers in Regional Science, Dec 1, 1983

Research paper thumbnail of Rater agreement for complex assessments

British Journal of Mathematical and Statistical Psychology, Nov 1, 1983

A general strategy is proposed for measuring and testing the agreement between two raters who use... more A general strategy is proposed for measuring and testing the agreement between two raters who use some common scheme for assessing each of n objects. As long as a numerical measure of correspondence or proximity can be obtained between any two assessments, an agreement index can be defined and tested for significance under a null conjecture of rater independence. The usual weighted kappa index appropriate for nominal scale response agreement is a special case of our more comprehensive framework.

Research paper thumbnail of Spanning Trees and Aspects of Clustering

British Journal of Mathematical and Statistical Psychology, May 1, 1974

The concept of a spanning tree for a weighted graph is used to characterize several methods of cl... more The concept of a spanning tree for a weighted graph is used to characterize several methods of clustering a set of objects. In particular, most of the paper is devoted to stating relationships between spanning trees, single‐link and complete‐link hierarchical clustering, network flow and two divisive clustering procedures. Several related topics using the notion of a spanning tree are also mentioned.

Research paper thumbnail of 6. Additive Trees for Symmetric Proximity Data

The Structural Representation of Proximity Matrices with MATLAB, 2006

Research paper thumbnail of 3. Circular Scaling

The Structural Representation of Proximity Matrices with MATLAB, 2006

Research paper thumbnail of 3. Cluster Analysis

Combinatorial Data Analysis, 2001

Research paper thumbnail of A formal model for the perceptual processing of geometric configurations

Research paper thumbnail of 7. Fitting Multiple Tree Structures to a Symmetric Proximity Matrix

Research paper thumbnail of 11. Anti-Robinson Matrices for Two-Mode Proximity Data

Research paper thumbnail of 9. Anti-Robinson Matrices for Symmetric Proximity Data

The Structural Representation of Proximity Matrices with MATLAB, 2006

Research paper thumbnail of 10. Circular Anti-Robinson Matrices for Symmetric Proximity Data

Research paper thumbnail of 8. Ultrametrics and Additive Trees for Two-Mode (Rectangular) Proximity Data

Research paper thumbnail of Commentaries on the Ten Most Highly Cited Psychometrika Articles from 1936 to the Present

Research paper thumbnail of 4. LUS for Two-Mode Proximity Data

The Structural Representation of Proximity Matrices with MATLAB, 2006

Research paper thumbnail of The Data Theory Scaling System

Studies in Classification, Data Analysis, and Knowledge Organization, 1998

Optimal scaling is reviewed in the framework of a comprehensive multidimensional data analysis st... more Optimal scaling is reviewed in the framework of a comprehensive multidimensional data analysis strategy, called the Data Theory Scaling System (DTSS). The optimal scaling methodology has a lot of potential for the analysis of multivariate data that are qualitative, non-normally distributed, or incomplete. Also, the system can easily deal with nonlinear relationships between the variables to be analyzed. A crucial aspect of DTSS is the graphical display of the results of the analysis. The most recent developments of DTSS include the integration of optimal scaling with combinatorial data analysis, e.g., ordering tasks in one dimension, and the fitting of graphs to multivariate data.

Research paper thumbnail of Order-Dependent Measures of Correspondence for Comparing Proximity Matrices and Related Structures

Measuring the Unmeasurable, 1985

Research paper thumbnail of Heritability of nociception II. ‘Types’ of nociception revealed by genetic correlation analysis

Research paper thumbnail of A Comparison of Interval Estimation of Coefficient Alpha Using the Feldt and the Jackknife Procedures

This investigation had two major purposes. The first was to explore the use of an inferential tec... more This investigation had two major purposes. The first was to explore the use of an inferential technique called Tukeys Jackknife in establishing a confidence interval about cooefficient alpha reliability. The second purpose was to study the robustness of the Feldt and the jackknife procedures when the data fails to satisfy usual normality assumptions. Using a linear model of test score, computer simulated data representing a matched item-examinee sample from th3ir respective populations was employed. The two jackknife procedures, is this situation, were less conservative. For log-normal distributions of examinee score components, Feldt's procedure gave reasonable interval estimates for low values (=.60) of population alpha, but for higher values of population alpha (=.90), the Feldt procedure was not found to be robust. The two Jackknife procedures, on the other hand, were found to be relatively robust over the entire range of investigation of values of alpha. None of the procedures was found useful in interval estimation of coefficient alpha when the distribution of examinee score components were of extreme double-exponential form. (RC) rt BEST COPY AVAILABLE