Howard B Lee
Biographic Data
| ID | 6517560 |
|---|---|
| NAME | Howard B Lee |
| GIVEN NAMES | Howard B |
| FAMILY NAME | Lee |
| SIGNATURE | LEE H B |
| AFFILIATIONS | California State University, Northridge |
| VERIFIED | No |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 10 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1978 |
| LATEST PUBLICATION YEAR | 2013 |
| H-INDEX | 1 |
A First Course in Factor Analysis
The goal of this book is to foster a basic understanding of factor analytic techniques so that readers can use them in their own research and critically evaluate their use by other researchers. Both the underlying theory and correct application are emphasized. The theory is presented through the mathematical basis of the most common factor analytic models and several methods used in factor analysis. On the application side, considerable attention…
Development and Validation of the College Mattering Inventory With Diverse Urban College Students
The perceived impact of mattering is quite accepted in higher education yet has not been well measured with diverse college students. This article describes the development and validation of the College Mattering Inventory with community college and university students. Results and implications for faculty and student affairs professionals are discussed
Evidence for Validity of the Revised Levinson and Sanford Anti-Semitism Scale
Jones-Wiley, Restori, Lee, and Ho (2007) updated and re-estimated the reliability and construct validity of the 1944 Levinson and Sanford Anti-Semitism Scale. Criterion validity was not adequately supported, given the small number of Jewish and Muslim participants. Two separate studies were conducted, (1) a comparison of Jewish, Muslim, and Christian religious groups on the Anti-Semitism score and (2) the correlation of political preference with …
Modification and Psychometric Evaluation of the Peterson War Scale
A measure on attitudes toward war was administered to 125 student participants at a California university to assess psychometric properties for this scale for possible use in current research. A 5-point scale was substituted for the 2-point one originally. Item analysis indicated 23 of 32 items were viable. Using Cronbach reliability coefficient alpha and factor analysis, the shortened measure had an internal consistency reliability of .85. Facto…
Theoretical Comparison of the Decision Theories of J. M. Keynes, Kahneman-Tversky, and Einhorn-Hogarth
It is demonstrated that J. M. Keynes in 1921 provided a complete decision rule that handles both the cases of nonlinear probability preferences and ambiguity or uncertainty. The 1979 Kahneman-Tversky approach deals only with risk (nonlinear probability preferences) and does not specify a decision rule. The 1985–1986 Einhorn-Hogarth anchoring and adjustment rule deals only with ambiguity or uncertainty and not risk. Only Keynes' rule does both
Is There an Ellsberg-Fellner Paradox? A Note on its Resolution
The Ellsberg-Fellner Paradox can be shown to be nonparadoxical if Keynes' concept of weight-of-evidence is incorporated in decision making under risk and/or uncertainty. Keynes' concept is a more advanced version of C. S. Peirce's “second number” approach and is identical to R. Carnap's reliability-unreliability index. The Ellsberg-Fellner Paradox is paradoxical only to decision theorists who accept the Von Neumann-Morgenstern-Savage axioms. Deci…
Is There an Allais Paradox? A Note on its Resolution
If a decision maker uses J. M. Keynes' “conventional coefficient of risk and weight” in making decisions under conditions of risk and/or uncertainty, then a consistent pattern of ranked outcome results is not paradoxical as proposed by Allais. Similarly, the paradoxical aspects of the “reflection effect” in Kahneman and Tversky's Prospect Theory analysis of the Allais' paradox, also vanishes. The Allais Paradox can only exist when probabilities a…
Dynamics of Choice Behavior: The Logical Relation between Linear Objective Probability and Nonlinear Subjective Probability
In choice behavior, researchers have noticed that humans have a preference for some probabilities, Most researchers in the past 40 yr. have been unable to account for the nonlinearity of this behavior. The convex shape of nonlinear subjective probabilities has been experimentally confirmed by every investigator from Preston and Baratta through Edwards, Handa, and Kahneman and Tversky. What has been lacking is a clear analysis of why the probabili…
The Estimation of Ridge Coefficients Using Regression Programs Without a Zero Intercept Option
The Criner and McElroy modification to computer programs that do not have a zero intercept regression option is used to obtain ridge regression coefficients
A K-Means Cluster Analysis Computer Program With Cross-Tabulations and Next-Nearest-Neighbor Analysis
A cluster analysis computer program is presented which uses the K-Means algorithm to obtain partitions of multivariate data which have low within-class variance. The program provides a somewhat novel form of a next-nearest neighbor analysis, convenient cross tabulations for variables other than the ones used in the clustering, an efficient form of variable clustering, and approximate randomization tests for a variety of relationships
Distortions In A Commonly Used Factor Analytic Procedure
A currently popular procedure in empirical factor analytic studies is to use unities in the main diagonal as communality estimates, extract all factors with eigenvalues of 1.0 or higher, and rotate these factors by varimax. This procedure and others are applied to several previously published correlation matrices and some artificial matrices. This procedure results in the retention of too many factors, unrealistic elevation of the amount of commo…
An Empirical Comparison Of Two Minimum Residual Factor Extraction Methods
Comrey and Harman & Jones have proposed different methods of factor analyzing a correlation matrix using on!y the off-diagonal elements. The purpose of such procedures is to avoid using the diagonal communality elements of the matrix theft are generally unknown and must be estimated. This study was undertaken to provide an empirical comparison of the two methods. The Comrey method was considerably faster but the Harman & Jones method produced hig…
Development and Validation of the College Mattering Inventory With Diverse Urban College Students
The perceived impact of mattering is quite accepted in higher education yet has not been well measured with diverse college students. This article describes the development and validation of the College Mattering Inventory with community college and university students. Results and implications for faculty and student affairs professionals are discussed
An Empirical Comparison Of Two Minimum Residual Factor Extraction Methods
Comrey and Harman & Jones have proposed different methods of factor analyzing a correlation matrix using on!y the off-diagonal elements. The purpose of such procedures is to avoid using the diagonal communality elements of the matrix theft are generally unknown and must be estimated. This study was undertaken to provide an empirical comparison of the two methods. The Comrey method was considerably faster but the Harman & Jones method produced hig…
Distortions In A Commonly Used Factor Analytic Procedure
A currently popular procedure in empirical factor analytic studies is to use unities in the main diagonal as communality estimates, extract all factors with eigenvalues of 1.0 or higher, and rotate these factors by varimax. This procedure and others are applied to several previously published correlation matrices and some artificial matrices. This procedure results in the retention of too many factors, unrealistic elevation of the amount of commo…
The Estimation of Ridge Coefficients Using Regression Programs Without a Zero Intercept Option
The Criner and McElroy modification to computer programs that do not have a zero intercept regression option is used to obtain ridge regression coefficients
A K-Means Cluster Analysis Computer Program With Cross-Tabulations and Next-Nearest-Neighbor Analysis
A cluster analysis computer program is presented which uses the K-Means algorithm to obtain partitions of multivariate data which have low within-class variance. The program provides a somewhat novel form of a next-nearest neighbor analysis, convenient cross tabulations for variables other than the ones used in the clustering, an efficient form of variable clustering, and approximate randomization tests for a variety of relationships
Is There an Ellsberg-Fellner Paradox? A Note on its Resolution
The Ellsberg-Fellner Paradox can be shown to be nonparadoxical if Keynes' concept of weight-of-evidence is incorporated in decision making under risk and/or uncertainty. Keynes' concept is a more advanced version of C. S. Peirce's “second number” approach and is identical to R. Carnap's reliability-unreliability index. The Ellsberg-Fellner Paradox is paradoxical only to decision theorists who accept the Von Neumann-Morgenstern-Savage axioms. Deci…
Is There an Allais Paradox? A Note on its Resolution
If a decision maker uses J. M. Keynes' “conventional coefficient of risk and weight” in making decisions under conditions of risk and/or uncertainty, then a consistent pattern of ranked outcome results is not paradoxical as proposed by Allais. Similarly, the paradoxical aspects of the “reflection effect” in Kahneman and Tversky's Prospect Theory analysis of the Allais' paradox, also vanishes. The Allais Paradox can only exist when probabilities a…
Dynamics of Choice Behavior: The Logical Relation between Linear Objective Probability and Nonlinear Subjective Probability
In choice behavior, researchers have noticed that humans have a preference for some probabilities, Most researchers in the past 40 yr. have been unable to account for the nonlinearity of this behavior. The convex shape of nonlinear subjective probabilities has been experimentally confirmed by every investigator from Preston and Baratta through Edwards, Handa, and Kahneman and Tversky. What has been lacking is a clear analysis of why the probabili…
Theoretical Comparison of the Decision Theories of J. M. Keynes, Kahneman-Tversky, and Einhorn-Hogarth
It is demonstrated that J. M. Keynes in 1921 provided a complete decision rule that handles both the cases of nonlinear probability preferences and ambiguity or uncertainty. The 1979 Kahneman-Tversky approach deals only with risk (nonlinear probability preferences) and does not specify a decision rule. The 1985–1986 Einhorn-Hogarth anchoring and adjustment rule deals only with ambiguity or uncertainty and not risk. Only Keynes' rule does both
Modification and Psychometric Evaluation of the Peterson War Scale
A measure on attitudes toward war was administered to 125 student participants at a California university to assess psychometric properties for this scale for possible use in current research. A 5-point scale was substituted for the 2-point one originally. Item analysis indicated 23 of 32 items were viable. Using Cronbach reliability coefficient alpha and factor analysis, the shortened measure had an internal consistency reliability of .85. Facto…
Evidence for Validity of the Revised Levinson and Sanford Anti-Semitism Scale
Jones-Wiley, Restori, Lee, and Ho (2007) updated and re-estimated the reliability and construct validity of the 1944 Levinson and Sanford Anti-Semitism Scale. Criterion validity was not adequately supported, given the small number of Jewish and Muslim participants. Two separate studies were conducted, (1) a comparison of Jewish, Muslim, and Christian religious groups on the Anti-Semitism score and (2) the correlation of political preference with …
Development and Validation of the College Mattering Inventory With Diverse Urban College Students
The perceived impact of mattering is quite accepted in higher education yet has not been well measured with diverse college students. This article describes the development and validation of the College Mattering Inventory with community college and university students. Results and implications for faculty and student affairs professionals are discussed
A First Course in Factor Analysis
The goal of this book is to foster a basic understanding of factor analytic techniques so that readers can use them in their own research and critically evaluate their use by other researchers. Both the underlying theory and correct application are emphasized. The theory is presented through the mathematical basis of the most common factor analytic models and several methods used in factor analysis. On the application side, considerable attention…
Computer Science (8 works) · Psychology (8 works) · Mathematics (7 works) · Statistics (6 works) · Economics (5 works) · Decision-Making and Behavioral Economics (4 works) · Econometrics (4 works) · Mathematical economics (4 works) · Microeconomics (4 works) · Social Psychology (4 works)