Lawrence J Hubert
Biographic Data
| ID | 77149 |
|---|---|
| NAME | Lawrence J Hubert |
| GIVEN NAMES | Lawrence J |
| FAMILY NAME | Hubert |
| SIGNATURE | HUBERT L J |
| AFFILIATIONS | University of California, Santa Barbara |
| VERIFIED | No |
| TOTAL WORKS | 39 |
| TOTAL CITATIONS | 70 |
| AUTHOR COUNT | 39 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1972 |
| LATEST PUBLICATION YEAR | 1990 |
| H-INDEX | 5 |
Blockmodels from the bond energy approach
Evaluating order hypotheses within proximity matrices
Comparing partitions
Tests of Randomness: Unidimensional and Multidimensional
A variety of tests for randomness are reviewed based on simple product-moment statistics defined between two matrices, { aij} and { bij}. Typically, the first matrix, { aij}, contains proximity data on the spatial placement of n observations, { x1.... xn} the second matrix, { bij}, is obtained from the relationships among the n observations themselves. Depending on the definitions of { aij} and { bij}, a variety of well-known tests of randomness …
A Methodological Study On The Evaluation Of Learning From Story Narratives
Exploratory multidimensional scaling and confirmatory nonparametric procedures (Hubert and Levin, 1976) were used to represent data from similarity rating and sorting tasks performed on nine animal names. Confirmatory procedures demonstrated that the organization of the data from the two tasks was similar. Analyses of data from sorting tasks performed after reading two stories with the nine animals as main characters (Bisanz, LaParte, Vesonder, a…
Combinatorial Procedures for the Analysis of Alterante Models: An Example From Interregional Migration
Combinatorial procedures for the analysis of alternate models: An example from interregional migration
Exploring Entrepreneurial Cognitions of Retail Environments
Much of the research in marketing geography has focused on analyzing consumers' perceptions and cognitions of shopping centers. Relatively few studies, however, have examined the role of cognition from the entrepreneurial perspective. This paper investigates the use of multidimensional analytical techniques for evaluating how entrepreneurs cognize their retail environments. Using data collected from four retail centers in the state of Victoria, A…
Analysis of variance procedures based on a proximity measure between subjects
Some Comments on Non-Euclidean Mental Maps
The Euclidean metric is perhaps the most commonly used and most convenient one for representing mapped phenomena. In this paper we examine the suitability of representing cognitive phenomena via the Euclidean metric. Some general properties of spaces are examined with particular emphasis on the properties of isotropy, incompleteness, and curvature, and a more detailed discussion is undertaken of the suitability of using curved spaces (particularl…
Analysis of variance procedures based on a proximity measure between subjects
Proximity Matrix Reorganization and Hierarchical Clustering
Connections between hierarchical clustering and the sedation of objects along a continuum that depend on the patterning of entries in a proximity matrix are pointed out. Based on the similarity between the central notion of an ultrametric in hierarchical clustering and what is called an anti-Robinson property in sedation, it is suggested that the two data-analysis procedures are compatible. Indeed, preliminary seriation of a proximity matrix may …
Comparing Rectangular Data Matrices
A procedure is discussed for comparing two rectangular n × m data matrices. The two matrices would typically represent data on the same n objects (for example, cities or subjects) and the same m attributes (for example, crime rates or attitudinal variables). An index that measures the degree to which both matrices are similar is presented along with a significance testing strategy that takes into account the possible dependency among the m attrib…
A reply to Moshman's critique of prediction analysis and developmental priority
A reply to Moshman's critique of prediction analysis and developmental priority
The comparison of related data sets: Examples from multidimensional scaling and cluster analysis
The Comparison of Related Data Sets: Examples From Multidimensional Scaling and Cluster Analysis
Unidimensional Seriation: Implications for Evaluating Criminal Justice Data
The problem of validating a given unidimensional scale (that is, an ordering of a set of objects along a single dimension) is discussed in terms of a few simple properties of the data used to obtain the scale. Based on a set of asymmetric proximity values as raw data, a distinction between analyzing absolute-value information or sign information is presented that leads to a formal test of whether a given scale is being reliably represented. In sh…
Aggregation in Data Tables: Implications for Evaluating Criminal Justice Statistics
Data collected on a set of objects (cities, for instance) over a set of attributes (time points, for instance) can be subjected to a variety of aggregation schemes. For example, if a hypothesized pattern over the attributes is to be confirmed (a temporal increase in homicide rate, for instance), the data could be first aggregated over cities and then compared to the hypothesized pattern. Alternatively, the correspondence for each city could be se…
The Analysis of Social Interaction Data: A Nonparametric Technique
A nonparametric technique is presented that is appropriate for comparing two social interaction matrices, either when both are obtained empirically, or when one is generated from some given theoretical position. Depending on whether the diagonals of the matrices are considered relevant to the analysis, the com parison can be carried out using some variation on a cross-product statistic. In all cases, the chosen index is referred to an exact (or a…
Measuring clustering in free recall
Measuring clustering in free recall
Application of prediction analysis to developmental priority
Application of prediction analysis to developmental priority
Confirmatory inference and geometric models
The Analysis of Social Interaction Data: A Nonparametric Technique
A nonparametric technique is presented that is appropriate for comparing two social interaction matrices, either when both are obtained empirically, or when one is generated from some given theoretical position. Depending on whether the diagonals of the matrices are considered relevant to the analysis, the com parison can be carried out using some variation on a cross-product statistic. In all cases, the chosen index is referred to an exact (or a…
Evaluating order hypotheses within proximity matrices
Kappa revisited
A general statistical framework for assessing categorical clustering in free recall
Tests of Randomness: Unidimensional and Multidimensional
A variety of tests for randomness are reviewed based on simple product-moment statistics defined between two matrices, { aij} and { bij}. Typically, the first matrix, { aij}, contains proximity data on the spatial placement of n observations, { x1.... xn} the second matrix, { bij}, is obtained from the relationships among the n observations themselves. Depending on the definitions of { aij} and { bij}, a variety of well-known tests of randomness …
Blockmodels from the bond energy approach
Comparison of sequences
Application of prediction analysis to developmental priority
Combinatorial procedures for the analysis of alternate models: An example from interregional migration
The Comparison of Related Data Sets: Examples From Multidimensional Scaling and Cluster Analysis
Problems of seriation using a subject by item response matrix
"A Further Comment on "N versus N-1
Problems of seriation using a subject by item response matrix
An Introduction to Educational Policy Research
Quadratic Assignment as a General Data Analysis Strategy
The quadratic assignment paradigm developed in operations research is discussed as a general approach to data analysis tasks characterized by the use of proximity matrices. Data analysis problems are first classified as being either static or non‐static. The term ‘static’ implies the evaluation of a detailed substantive hypothesis that is posited without the aid of the actual data. Alternatively, the term ‘non‐static’ suggests a search for a part…
A general statistical framework for assessing categorical clustering in free recall
Inference models for categorical clustering
Inference models for categorical clustering
Kappa revisited
Analyzing The Multitrait-Multimethod Matrix
The heuristic strategy proposed by Campbell and Fiske for investigating convergent and discriminant validity is rephrased within a more precise statistical framework. First of all, several indices are defined that mirror the properties within a multitrait-multimethod matrix that are supposed to reflect the two notions of validity. Then, based on a simple nonparametric model, a general significance testing procedure is developed that may be used t…
Evaluating the Conformity of Sociometric Measurements
The problem of comparing two sociometric matrices, as originally discussed by Katz and Powell in the early 1950’s, is reconsidered and generalized using a different inference model. In particular, the proposed indices of conformity are justified by a regression argument similar to the one used by Somers in presenting his well-known measures of asymmetric ordinal association. A permutation distribution and an associated significance test are devel…
A general formula for the variance of Cohen's weighted kappa
A general formula for the variance of Cohen's weighted kappa
Confirmatory inference and geometric models
Confirmatory inference and geometric models
Comparison of sequences
Measuring clustering in free recall
Measuring clustering in free recall
Application of prediction analysis to developmental priority
Application of prediction analysis to developmental priority
A reply to Moshman's critique of prediction analysis and developmental priority
A reply to Moshman's critique of prediction analysis and developmental priority
The comparison of related data sets: Examples from multidimensional scaling and cluster analysis
The Comparison of Related Data Sets: Examples From Multidimensional Scaling and Cluster Analysis
Unidimensional Seriation: Implications for Evaluating Criminal Justice Data
The problem of validating a given unidimensional scale (that is, an ordering of a set of objects along a single dimension) is discussed in terms of a few simple properties of the data used to obtain the scale. Based on a set of asymmetric proximity values as raw data, a distinction between analyzing absolute-value information or sign information is presented that leads to a formal test of whether a given scale is being reliably represented. In sh…
Aggregation in Data Tables: Implications for Evaluating Criminal Justice Statistics
Data collected on a set of objects (cities, for instance) over a set of attributes (time points, for instance) can be subjected to a variety of aggregation schemes. For example, if a hypothesized pattern over the attributes is to be confirmed (a temporal increase in homicide rate, for instance), the data could be first aggregated over cities and then compared to the hypothesized pattern. Alternatively, the correspondence for each city could be se…
Mathematics (30 works) · Computer Science (29 works) · Psychology (25 works) · Statistics (25 works) · Econometrics (14 works) · Cognitive psychology (10 works) · Artificial Intelligence (9 works) · Artificial Intelligence (9 works) · Cluster analysis (8 works) · Data mining (7 works)