Shelby J. Haberman

Shelby J. Haberman's AcademicInfluence.com Rankings

Shelby J. Haberman

Mathematics

#5862

World Rank

#8213

Historical Rank

Statistics

#467

World Rank

#541

Historical Rank

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Mathematics

Shelby J. Haberman's Degrees

PhD Statistics Columbia University
Masters Mathematics Columbia University
Bachelors Mathematics City College of New York

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Shelby J. Haberman's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Analysis of qualitative data (1978) (1042)
The Analysis of Residuals in Cross-Classified Tables (1973) (926)
The analysis of frequency data (1974) (585)
Maximum Likelihood Estimates in Exponential Response Models (1977) (275)
Log-Linear Models and Frequency Tables with Small Expected Cell Counts (1977) (205)
Prediction Analysis of Cross Classifications. (1976) (202)
Log-Linear Models for Frequency Tables with Ordered Classifications (1974) (196)
When Can Subscores Have Value? (2008) (152)
Analysis of Qualitative Data, Vol. 2: New Developments. (1981) (123)
A Warning on the Use of Chi-Squared Statistics with Frequency Tables with Small Expected Cell Counts (1988) (111)
Canonical Analysis of Contingency Tables by Maximum Likelihood (1986) (109)
Analysis of Dispersion of Multinomial Responses (1982) (105)
Independence and Dependence (1996) (105)
Adjustment by Minimum Discriminant Information (1984) (99)
Reporting of Subscores Using Multidimensional Item Response Theory (2010) (91)
Log‐Linear Fit for Contingency Tables (1972) (89)
Concavity and estimation (1989) (87)
Subscores Based on Classical Test Theory: To Report or Not to Report (2007) (87)
Tests for Independence in Two-Way Contingency Tables Based on Canonical Correlation and on Linear-By-Linear Interaction (1981) (83)
A Stabilized Newton-Raphson Algorithm for Log-Linear Models for Frequency Tables Derived by Indirect Observation (1988) (82)
The analysis of multivariate contingency tables by restricted canonical and restricted association models (1988) (80)
An NCME Instructional Module on Subscores (2011) (79)
Log-Linear Models for Frequency Tables Derived by Indirect Observation: Maximum Likelihood Equations (1974) (78)
COMPARISON OF MULTIDIMENSIONAL ITEM RESPONSE MODELS: MULTIVARIATE NORMAL ABILITY DISTRIBUTIONS VERSUS MULTIVARIATE POLYTOMOUS ABILITY DISTRIBUTIONS (2008) (74)
Remembering Life Events (1977) (73)
Product Models for Frequency Tables Involving Indirect Observation (1977) (70)
WHEN CAN SUBSCORES HAVE VALUE (2005) (66)
Log-Linear Models for Frequency Data: Sufficient Statistics and Likelihood Equations (1973) (64)
Conditional Log-Linear Models for Analyzing Categorical Panel Data (1994) (62)
LINKING PARAMETER ESTIMATES DERIVED FROM AN ITEM RESPONSE MODEL THROUGH SEPARATE CALIBRATIONS (2009) (59)
A New Procedure for Detection of Students’ Rapid Guessing Responses Using Response Time (2016) (59)
How Often Is the Misfit of Item Response Theory Models Practically Significant (2014) (57)
Reporting subscores for institutions. (2009) (53)
The Analysis of Nonadditivity in Two-Way Analysis of Variance (1990) (49)
Use of survival curves in analysis of antipsychotic relapse studies. (1980) (45)
A GENERAL PROGRAM FOR ITEM‐RESPONSE ANALYSIS THAT EMPLOYS THE STABILIZED NEWTON–RAPHSON ALGORITHM (2013) (44)
How Much Do Gauss-Markov and Least Square Estimates Differ? A Coordinate-Free Approach (1975) (42)
JOINT AND CONDITIONAL MAXIMUM LIKELIHOOD ESTIMATION FOR THE RASCH MODEL FOR BINARY RESPONSES (2004) (36)
Assessing Item Fit for Unidimensional Item Response Theory Models Using Residuals from Estimated Item Response Functions (2013) (35)
Reporting Diagnostic Scores in Educational Testing: Temptations, Pitfalls, and Some Solutions (2010) (34)
Small-Sample Equating Using a Synthetic Linking Function. (2008) (34)
The Utility of Augmented Subscores in a Licensure Exam: An Evaluation of Methods Using Empirical Data (2010) (34)
31B Some Notes on Models for Cognitively Based Skills Diagnosis (2006) (32)
Hierarchical Diagnostic Classification Models Morphing into Unidimensional ‘Diagnostic’ Classification Models—A Commentary (2014) (31)
Assessment of fit of item response theory models used in large-scale educational survey assessments (2016) (30)
Prediction functions for categorical panel data (1995) (30)
Harmonic Regression and Scale Stability (2013) (30)
Pseudo-Equivalent Groups and Linking (2015) (29)
USE OF GENERALIZED RESIDUALS TO EXAMINE GOODNESS OF FIT OF ITEM RESPONSE MODELS (2009) (28)
Dispersion of Categorical Variables and Penalty Functions: Derivation, Estimation, and Comparability (1995) (27)
CONSISTENCY OF SAT® I: REASONING TEST SCORE CONVERSIONS (2008) (27)
JACKKNIFING TECHNIQUES FOR EVALUATION OF EQUATING ACCURACY (2009) (26)
ADAPTIVE QUADRATURE FOR ITEM RESPONSE MODELS (2006) (25)
Generalized Residuals for General Models for Contingency Tables With Application to Item Response Theory (2013) (25)
AN ELEMENTARY TEST OF THE NORMAL 2PL MODEL AGAINST THE NORMAL 3PL ALTERNATIVE (2006) (25)
Analysis of Categorical Response Profiles By Informative Summaries (2001) (24)
The Application of the Cumulative Logistic Regression Model to Automated Essay Scoring (2010) (23)
Investigating Test-Taking Behaviors Using Timing and Process Data (2016) (23)
Computation of Maximum Likelihood Estimates in Association Models (1995) (23)
An Exponential Family of Probability Distributions for Directed Graphs: Comment (1981) (22)
COMPARISON OF SUBSCORES BASED ON CLASSICAL TEST THEORY METHODS (2008) (20)
IDENTIFIABILITY OF PARAMETERS IN ITEM RESPONSE MODELS WITH UNCONSTRAINED ABILITY DISTRIBUTIONS (2005) (19)
SUBSCORES AND VALIDITY (2008) (19)
Do Adjusted Subscores Lack Validity? Don’t Blame the Messenger (2011) (17)
Repeater Analysis for Combining Information from Different Assessments. (2015) (16)
AN ALTERNATIVE TO EQUATING WITH SMALL SAMPLES IN THE NON-EQUIVALENT GROUPS ANCHOR TEST DESIGN (2006) (16)
LATENT-CLASS ITEM RESPONSE MODELS (2005) (16)
Jackknifing Techniques for Evaluation of Equating Accuracy. Research Report. ETS RR-09-39. (2009) (16)
How Much can we Reliably Know About what Examinees Know? (2009) (16)
A Statistical Procedure for Testing Unusually Frequent Exactly Matching Responses and Nearly Matching Responses (2017) (15)
Robot data screening: a solution to multivariate type problems in the biological and social sciences (1966) (14)
THE INFORMATION A TEST PROVIDES ON AN ABILITY PARAMETER (2007) (13)
Density Approximation by Summary Statistics: An Information‐theoretic Approach (2000) (13)
The Interaction Model (2007) (13)
Direct Products and Linear Models for Complete Factorial Tables (1975) (12)
An Empirical Investigation of Population Invariance in the Value of Subscores (2014) (12)
Does subgroup membership information lead to better estimation of true subscores? (2012) (12)
A NOTE ON THE CHOICE OF AN ANCHOR TEST IN EQUATING (2012) (12)
Limits on the Accuracy of Linking (2010) (11)
Linear Prediction of a True Score From a Direct Estimate and Several Derived Estimates (2007) (11)
Correction to as 51: Log‐Linear Fit for Contingency Tables (1976) (10)
SUBSCORES FOR INSTITUTIONS (2006) (10)
Equating of Augmented Subscores. (2011) (10)
Scale Consistency, Drift, Stability: Definitions, Distinctions and Principles (2009) (10)
Penalized Best Linear Prediction of True Test Scores (2018) (10)
An Investigation of the Fit of Linear Regression Models to Data from an SAT® Validity Study (2011) (10)
Prediction of true test scores from observed item scores and ancillary data. (2015) (10)
When Does Scale Anchoring Work? A Case Study. (2011) (9)
Mathematical treatment of the incidence and prevalence of disease. (1978) (9)
9 – Adjustment of Data (1979) (8)
Latent-Class Item Response Models. Research Report. ETS RR-05-28. (2005) (8)
Reporting Subscores: A Survey (2010) (8)
Sources of Score Scale Inconsistency (2011) (8)
CONTINUOUS EXPONENTIAL FAMILIES: AN EQUATING TOOL (2008) (8)
When Can Subscores Have Value? Research Report. ETS RR-05-08. (2005) (7)
Use of e‐rater® in Scoring of the TOEFL iBT® Writing Test (2011) (7)
Using Exponential Families for Equating (2009) (7)
Statistical models for the analysis of ordered categorical data in public health and medical research (1994) (7)
Subscores for Institutions. Research Report. ETS RR-06-13. (2006) (7)
Adaptive Quadrature for Item Response Models. Research Report. ETS RR-06-29. (2006) (7)
Use of e-rater[R] in Scoring of the TOEFL iBT[R] Writing Test. Research Report. ETS RR-11-25. (2011) (7)
Probabilistic treatment of the incidence and prevalence of disease. (1978) (7)
Use of Jackknifing to Evaluate Effects of Anchor Item Selection on Equating with the Nonequivalent Groups with Anchor Test (NEAT) Design. Research Report. ETS RR-15-10. (2015) (6)
EQUATING OF SUBSCORES AND WEIGHTED AVERAGES UNDER THE NEAT DESIGN (2011) (6)
STATISTICAL AND MEASUREMENT PROPERTIES OF FEATURES USED IN ESSAY ASSESSMENT (2004) (6)
Fit of Item Response Theory Models: A Survey of Data from Several Operational Tests. Research Report. ETS RR-11-29. (2011) (6)
Analysis of Qualitative Data: Vol. 2, New Developments. (1981) (6)
Subscores and Validity. Research Report. ETS RR-08-64. (2008) (6)
ASYMPTOTIC LIMITS OF ITEM PARAMETERS IN JOINT MAXIMUM‐LIKELIHOOD ESTIMATION FOR THE RASCH MODEL (2008) (6)
Models with Nuisance and Incidental Parameters (2016) (6)
Sample-Size Requirements for Automated Essay Scoring. Research Report. ETS RR-08-32. (2008) (6)
The relationship between incidence and prevalence. (1982) (5)
Practical Application of a Synthetic Linking Function on Small-Sample Equating (2011) (5)
Reporting Diagnostic Scores: Temptations, Pitfalls, and Some Solutions (2009) (5)
Prediction of Writing True Scores in Automated Scoring of Essays by Best Linear Predictors and Penalized Best Linear Predictors (2019) (5)
SAMPLE-SIZE REQUIREMENTS FOR AUTOMATED ESSAY SCORING (2008) (5)
Sources of Score Scale Inconsistency. Research Report. ETS RR-11-10. (2011) (5)
JOINT AND CONDITIONAL ESTIMATION FOR IMPLICIT MODELS FOR TESTS WITH POLYTOMOUS ITEM SCORES (2006) (5)
Use of Adjustment by Minimum Discriminant Information in Linking Constructed‐Response Test Scores in the Absence of Common Items (2019) (5)
Too Simple to Be Useful: A Comment on Feinberg and Wainer (2014) (2015) (5)
Robot data screening, an automatic search technique. (1970) (5)
Measures of Agreement Versus Measures of Prediction Accuracy (2019) (4)
Activity 7: Develop Methodology for Evaluating Model-Based Estimates of the Population Size for States (1998) (4)
INVESTIGATING THE EFFECTIVENESS OF A SYNTHETIC LINKING FUNCTION ON SMALL SAMPLE EQUATING (2007) (4)
Survival Models and Data Analysis . By Regina C. Elandt-Johnson and Norman L. Johnson. John Wiley and Sons, New York. 1980. xvi 457 pages. (1981) (4)
LINKING WITH CONTINUOUS EXPONENTIAL FAMILIES: SINGLE-GROUP DESIGNS (2008) (4)
How Does the Knowledge of Subgroup Membership of Examinees Affect the Prediction of True Subscores (2011) (4)
Limits on Log Odds Ratios for Unidimensional Item Response Theory Models (2007) (4)
Exponential Family Distributions Relevant to IRT (2016) (4)
ROBOT DATA SCREENING – A UBIQUITOUS AUTOMATIC SEARCH TECHNIQUE (1969) (3)
Improving the Statistical Aspects of e-rater (2003) (3)
HOW CAN MULTIDIMENSIONAL ITEM RESPONSE THEORY BE USED IN REPORTING OF SUBSCORES (2010) (3)
Continuous Exponential Families: An Equating Tool. Research Report. ETS RR-08-05. (2008) (3)
Assessing Scoring Accuracy and Assessment Accuracy for Spoken Responses (2019) (3)
THE BEST LINEAR PREDICTOR FOR TRUE SCORE FROM A DIRECT ESTIMATE AND SEVERAL DERIVED ESTIMATES (2004) (3)
Description of populations (1996) (3)
Reliability of Scaled Scores. Research Report. ETS RR-08-70. (2008) (3)
Limits on the Accuracy of Linking. Research Report. ETS RR-10-22. (2010) (3)
A note on the conditional moments of a multivariate normal distribution confined to a convex set (1980) (3)
Multivariate analysis: discrete variables, correspondence models (2001) (2)
Multivariate Analysis: Discrete Variables (Loglinear Models) (2001) (2)
Application of mathematical results to stroke incidence and prevalence data. (1978) (2)
The Distributions of "s" for Numerous and Extensive Ties in One of a Pair of Rankings of Length n (1962) (2)
Application of Best Linear Prediction and Penalized Best Linear Prediction to ETS Tests (2020) (2)
How Can Multivariate Item Response Theory Be Used in Reporting of Subscores ? (2010) (2)
Chi‐Square, Partition of (2005) (2)
The Analysis of Frequency Data.@@@Discrete Multivariate Analysis. (1978) (2)
INTERPRETATIONS OF RELIABILITY (2005) (2)
Studying Score Stability with a Harmonic Regression Family: A Comparison of Three Approaches to Adjustment of Examinee‐Specific Demographic Data (2020) (2)
RELIABILITY OF SCALED SCORES (2008) (2)
Bias in Estimation of Misclassification Rates (2006) (2)
Distractor Analysis for Multiple‐Choice Tests: An Empirical Study With International Language Assessment Data (2019) (2)
7 Electronic Essay Grading (2006) (2)
Hierarchical Diagnostic Classification Models Morphing into Unidimensional ‘Diagnostic’ Classification Models—A Commentary (2014) (1)
Comments on “A Note on Subscores” by Samuel A. Livingston (2015) (1)
6 – Multinomial Response Models (1979) (1)
The Contributions of Paul Holland (2011) (1)
Use of Continuous Exponential Families to Link Forms via Anchor Tests. Research Report. ETS RR-11-11. (2011) (1)
Using SAS ® to Implement Simultaneous Linking in Item Response Theory (2016) (1)
Assessing Item Fit for Unidimensional Item Response Theory Models Using Residuals from Estimated Item Response Functions (2012) (1)
Correction: Adjustment by Minimum Discriminant Information (1986) (1)
LIMITS ON LOG CROSS‐PRODUCT RATIOS FOR ITEM RESPONSE MODELS (2006) (1)
Outliers in Assessments. Research Report. ETS RR-08-41. (2008) (1)
Interpretations of Reliability. Research Report. ETS RR-05-29. (2005) (1)
OUTLIERS IN ASSESSMENTS (2008) (1)
Subscores (2018) (1)
Unfair Treatment vs . Confirmation Bias ? (2010) (1)
An Entropy-Based Measure of Dependence Between Two Groups of Random Variables (2007) (1)
How Can Multivariate Item Response Theory Be Used in Reporting of Susbcores? Research Report. ETS RR-10-09. (2010) (1)
Statistical Procedures to Evaluate Quality of Scale Anchoring. Research Report. ETS RR-11-02. (2011) (1)
Review: Y. M. M. Bishop, S. E. Fienberg, P. W. Holland, Discrete Multivariate Analysis: Theory and Practice (1976) (1)
An Investigation of the Fit of Linear Regression Models to Data from an SAT[R] Validity Study. Research Report 2011-3. (2011) (1)
1 – Polytomous Responses (1978) (1)
Cross-Validation and "U"-Statistics. Research Report. ETS RR-19-27. (2019) (0)
Complete Two-Way Tables (1978) (0)
Recent Challenges to Maintaining Score Comparability: A Commentary (2022) (0)
Random Variables and Measurable Functions (1996) (0)
Populations, Measurements, and Parameters (1996) (0)
8 – Symmetrical Tables (1979) (0)
Complete Higher-Way Tables (1978) (0)
A Handbook of Numerical and Statistical Techniques . By J. H. Pollard. [Cambridge University Press, 1977] (1978) (0)
Correction Note to ‘‘Density Approximation by Summary Statistics: An Information‐theoretic Approach’’ (2008) (0)
Assessment of fit of item response theory models used in large-scale educational survey assessments (2016) (0)
Coordinating Editor and Applications Editor (1978) (0)
Rejoinder: A Brief Response to the Commentaries by Robert Mislevy and David Thissen (2020) (0)
PROBABILITY PREDICTION AND CLASSIFICATION (2004) (0)
Statistical Theory and Assessment Practice (2020) (0)
Construction of Daniell Integrals (1996) (0)
Chi-Square, Partition of (2005) (0)
Complete Three-Way Tables (1978) (0)
Probability Prediction and Classification. Research Report. RR-04-19. (2004) (0)
[A Critical Look at Accumulation Analysis and Related Methods]: Discussion (1990) (0)
Harmonic Regression and Scale Stability (2013) (0)
7 – Incomplete Tables (1979) (0)
Cross‐Validation and U ‐Statistics (2019) (0)
Pattern Discrete-Valued Data Set Discovery Detected Patterns c & DataBase Parameters Pattern Representation Attributed Hypergraph Observed Events Inference ProceSS Predicting / Classifying Results F . G . 1 (2017) (0)
Large‐Sample Properties of Minimum Discriminant Information Adjustment Estimates Under Complex Sampling Designs (2020) (0)
10 – Latent-Class Models (1979) (0)
Expectations and Daniell Integrals (1996) (0)
Penalized Best Linear Prediction of True Test Scores (2018) (0)
Issues with Self-Monitoring Assessments: Comments on Koretz and Béguin (2010) (2010) (0)

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Shelby J. Haberman's Academic­Influence.com Rankings