Lawrence S Mayer
Datos Biográficos
| ID | 227630 |
|---|---|
| NOMBRE | Lawrence S Mayer |
| NOMBRES | Lawrence S |
| APELLIDO | Mayer |
| FIRMA | MAYER L S |
| AFILIACIONES | Arizona State University |
| VERIFICADO | No |
| TOTAL DE OBRAS | 22 |
| TOTAL DE CITAS | 79 |
| TOTAL COMO AUTOR | 22 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 1970 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 1991 |
| ÍNDICE H | 6 |
Developmental epidemiologically based preventive trials
Describes a conceptual framework for identifying and targeting developmental antecedents in early childhood that have been shown in previous work to predict delinquency and violent behavior, heavy drug use, depression, and other psychiatric symptoms and possibly disorders in late adolescence and into adulthood. Criteria are described that guided choices of targets for two epidemiologically based, randomized preventive trials carried out in 19 ele…
Measures of Dependence for Cross-Lagged Panel Models
Panel studies are statistical studies in which two or more responses are measured for two or more individuals, or other sampling units, at two or more waves, or points in time. Typically the number of responses and the number of waves are small but the number of subjects is large. Cross-lagged panel studies are those in which the responses are continuous and divide naturally into two sets. One focus in such studies is to estimate and test the tem…
Testing for Lagged, Cotemporal, and Total Dependence in Cross-Lagged Panel Analysis
Panel studies are statistical studies in which two or more variables are observed for two or more subjects at two or more points in time. Cross-lagged panel studies are those studies in which the variables are continuous and divide naturally into two sets. Focus is on estimating and testing the effects, or impacts, of each set of variables on the other. In the regression approach the cross-lagged model is formulated as a multivariate regression m…
On Cross-Lagged Panel Models With Serially Correlated Errors
Cross-lagged panel studies are studies in which two or more variables are measured for a large number of subjects at each of several points in time. The variables divide naturally into two sets, and the purpose of the analysis is to estimate and test the cross-effects between the two sets. One approach to this analysis is to treat the cross-effects as parameters in regression equations. This study contributes to this approach by extending the reg…
Statistical inferences for cross-lagged panel models without the assumption of normal errors
Measures of Association for Multiple Regression Models with Ordinal Predictor Variables
Some Problems in Validation of Mathematical and Stochastic Models of Political Phenomena
This paper, while applauding the efforts of theorists who attempt to integrate the formulation of formal and stochastic models of political institutions and political behavior with empirical analysis of those phenomena, identifies various pitfalls of integrating these analytic forms. A critical analysis of David Rohde's explanation of Supreme Court decision making is utilized to illustrate numerous difficulties with such integrated analyses
On Electoral Equilibria in a Spatial Analysis Based on The Theory of Games
Multiple Indicators and the Relationship between Abstract Variables
Purchase a PDF Purchase this article for $46.00 USD. How does it work? Select the purchase option. Check out using a credit card or bank account with PayPal. Read your article online and download the PDF from your email or your account. Log in through your institution
Is Minimax Regret Applicable to Voting Decisions
In a recent article ("The Paradox of Not Voting: A Decision Theoretic Analysis," APSR, 68 [June, 1974], 525-536) John Ferejohn and Morris Fiorina suggest that a (potential) voter may be rational in deciding whether to vote and yet not use the expected-utility calculus introduced for this purpose by Downs and Tullock and extended by Riker and Ordeshook. The authors suggest that a rational voter, in deciding whether to vote, may use the minimax reg…
Non-Random Exogenous Variables in Path Analysis
Comparing Strategies in a Spatial Model of Electoral Competition
Although the Davis-Hinich spatial model of majority rule is one of the most sophisticated models in axiomatic political theory, it requires that all voters use a common loss (utility) function in evaluating candidates. A model is introduced which eliminates this restriction and thus allows each voter to choose his own individual loss function as well as his preferred position. The Davis-Hinich model is described; several candidate strategies, inc…
On Ordinal Prediction Problems
One limitation in building empirically testable models in sociology is that many familiar statistical techniques such as least-squares regression analysis require interval-level measurements while sociologists often have only ordinal-level measurements. Fortunately there do exist statistical techniques that use ordinal measurements. In this article we consider several types of prediction procedures which use ordinal data, as input, including indi…
Procedures for Estimating Standardized Regression Coefficients From Sample Data
This paper is concerned with the role played by the standardized regression coefficients in linear regression analysis. The linear regression model is reparameterized to explicitly contain standardized regression coefficients. Several estimators of these coefficients are considered. It is shown that the usual beta coefficient is a good estimator of the coefficients in the linear regression model with random predictor variables. However, in the li…
Non-random Exogenous Variables in Path Analysis
Path analysis requires that exogenous and residual variables not be correlated. An alternative to assuming the two to be independent is to treat the exogenous variables as fixed or non-random. Examination of path models, however, reveals that the usual standardized path coefficients are biased and inconsistent when exogenous variables are considered fixed. At the same time, the path coefficient divided by the residual term is a large-sample unbia…
Using Monotone Regression to Estimate a Correlation Coefficient
On surfaces of constant societal loss in a model of social choice
An Analysis of Measures of Crosscutting and Fragmentation
Rejoinder to Brams's and O'Leary's “Comment”
An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content
A Note on Treating Ordinal Data as Interval Data
A Note on “An Axiomatic Model of Voting Bodies
Brams and O'Leary (this Review , 64 [June 1970], pp. 449–470) generate a model of the behavior of a voting body by first applying a simple combinatorial argument to the results of voting on a single issue and then extending this model by assuming voting behavior is independent across issues. In this note we show that their argument can be extended to cover voting across issues without relying on the assumption of independence. This alternative ap…
"Comment on "The Assignment of Numbers to Rank Order Categories
Is Minimax Regret Applicable to Voting Decisions
In a recent article ("The Paradox of Not Voting: A Decision Theoretic Analysis," APSR, 68 [June, 1974], 525-536) John Ferejohn and Morris Fiorina suggest that a (potential) voter may be rational in deciding whether to vote and yet not use the expected-utility calculus introduced for this purpose by Downs and Tullock and extended by Riker and Ordeshook. The authors suggest that a rational voter, in deciding whether to vote, may use the minimax reg…
Developmental epidemiologically based preventive trials
Describes a conceptual framework for identifying and targeting developmental antecedents in early childhood that have been shown in previous work to predict delinquency and violent behavior, heavy drug use, depression, and other psychiatric symptoms and possibly disorders in late adolescence and into adulthood. Criteria are described that guided choices of targets for two epidemiologically based, randomized preventive trials carried out in 19 ele…
Comparing Strategies in a Spatial Model of Electoral Competition
Although the Davis-Hinich spatial model of majority rule is one of the most sophisticated models in axiomatic political theory, it requires that all voters use a common loss (utility) function in evaluating candidates. A model is introduced which eliminates this restriction and thus allows each voter to choose his own individual loss function as well as his preferred position. The Davis-Hinich model is described; several candidate strategies, inc…
An Analysis of Measures of Crosscutting and Fragmentation
"Comment on "The Assignment of Numbers to Rank Order Categories
A Note on Treating Ordinal Data as Interval Data
Non-random Exogenous Variables in Path Analysis
Path analysis requires that exogenous and residual variables not be correlated. An alternative to assuming the two to be independent is to treat the exogenous variables as fixed or non-random. Examination of path models, however, reveals that the usual standardized path coefficients are biased and inconsistent when exogenous variables are considered fixed. At the same time, the path coefficient divided by the residual term is a large-sample unbia…
Some Problems in Validation of Mathematical and Stochastic Models of Political Phenomena
This paper, while applauding the efforts of theorists who attempt to integrate the formulation of formal and stochastic models of political institutions and political behavior with empirical analysis of those phenomena, identifies various pitfalls of integrating these analytic forms. A critical analysis of David Rohde's explanation of Supreme Court decision making is utilized to illustrate numerous difficulties with such integrated analyses
Procedures for Estimating Standardized Regression Coefficients From Sample Data
This paper is concerned with the role played by the standardized regression coefficients in linear regression analysis. The linear regression model is reparameterized to explicitly contain standardized regression coefficients. Several estimators of these coefficients are considered. It is shown that the usual beta coefficient is a good estimator of the coefficients in the linear regression model with random predictor variables. However, in the li…
Using Monotone Regression to Estimate a Correlation Coefficient
Measures of Dependence for Cross-Lagged Panel Models
Panel studies are statistical studies in which two or more responses are measured for two or more individuals, or other sampling units, at two or more waves, or points in time. Typically the number of responses and the number of waves are small but the number of subjects is large. Cross-lagged panel studies are those in which the responses are continuous and divide naturally into two sets. One focus in such studies is to estimate and test the tem…
Testing for Lagged, Cotemporal, and Total Dependence in Cross-Lagged Panel Analysis
Panel studies are statistical studies in which two or more variables are observed for two or more subjects at two or more points in time. Cross-lagged panel studies are those studies in which the variables are continuous and divide naturally into two sets. Focus is on estimating and testing the effects, or impacts, of each set of variables on the other. In the regression approach the cross-lagged model is formulated as a multivariate regression m…
Statistical inferences for cross-lagged panel models without the assumption of normal errors
Multiple Indicators and the Relationship between Abstract Variables
Purchase a PDF Purchase this article for $46.00 USD. How does it work? Select the purchase option. Check out using a credit card or bank account with PayPal. Read your article online and download the PDF from your email or your account. Log in through your institution
On Ordinal Prediction Problems
One limitation in building empirically testable models in sociology is that many familiar statistical techniques such as least-squares regression analysis require interval-level measurements while sociologists often have only ordinal-level measurements. Fortunately there do exist statistical techniques that use ordinal measurements. In this article we consider several types of prediction procedures which use ordinal data, as input, including indi…
On surfaces of constant societal loss in a model of social choice
A Note on “An Axiomatic Model of Voting Bodies
Brams and O'Leary (this Review , 64 [June 1970], pp. 449–470) generate a model of the behavior of a voting body by first applying a simple combinatorial argument to the results of voting on a single issue and then extending this model by assuming voting behavior is independent across issues. In this note we show that their argument can be extended to cover voting across issues without relying on the assumption of independence. This alternative ap…
"Comment on "The Assignment of Numbers to Rank Order Categories
Rejoinder to Brams's and O'Leary's “Comment”
An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content
A Note on Treating Ordinal Data as Interval Data
A Note on “An Axiomatic Model of Voting Bodies
Brams and O'Leary (this Review , 64 [June 1970], pp. 449–470) generate a model of the behavior of a voting body by first applying a simple combinatorial argument to the results of voting on a single issue and then extending this model by assuming voting behavior is independent across issues. In this note we show that their argument can be extended to cover voting across issues without relying on the assumption of independence. This alternative ap…
Using Monotone Regression to Estimate a Correlation Coefficient
On surfaces of constant societal loss in a model of social choice
An Analysis of Measures of Crosscutting and Fragmentation
Non-random Exogenous Variables in Path Analysis
Path analysis requires that exogenous and residual variables not be correlated. An alternative to assuming the two to be independent is to treat the exogenous variables as fixed or non-random. Examination of path models, however, reveals that the usual standardized path coefficients are biased and inconsistent when exogenous variables are considered fixed. At the same time, the path coefficient divided by the residual term is a large-sample unbia…
Non-Random Exogenous Variables in Path Analysis
Comparing Strategies in a Spatial Model of Electoral Competition
Although the Davis-Hinich spatial model of majority rule is one of the most sophisticated models in axiomatic political theory, it requires that all voters use a common loss (utility) function in evaluating candidates. A model is introduced which eliminates this restriction and thus allows each voter to choose his own individual loss function as well as his preferred position. The Davis-Hinich model is described; several candidate strategies, inc…
On Ordinal Prediction Problems
One limitation in building empirically testable models in sociology is that many familiar statistical techniques such as least-squares regression analysis require interval-level measurements while sociologists often have only ordinal-level measurements. Fortunately there do exist statistical techniques that use ordinal measurements. In this article we consider several types of prediction procedures which use ordinal data, as input, including indi…
Procedures for Estimating Standardized Regression Coefficients From Sample Data
This paper is concerned with the role played by the standardized regression coefficients in linear regression analysis. The linear regression model is reparameterized to explicitly contain standardized regression coefficients. Several estimators of these coefficients are considered. It is shown that the usual beta coefficient is a good estimator of the coefficients in the linear regression model with random predictor variables. However, in the li…
Multiple Indicators and the Relationship between Abstract Variables
Purchase a PDF Purchase this article for $46.00 USD. How does it work? Select the purchase option. Check out using a credit card or bank account with PayPal. Read your article online and download the PDF from your email or your account. Log in through your institution
Is Minimax Regret Applicable to Voting Decisions
In a recent article ("The Paradox of Not Voting: A Decision Theoretic Analysis," APSR, 68 [June, 1974], 525-536) John Ferejohn and Morris Fiorina suggest that a (potential) voter may be rational in deciding whether to vote and yet not use the expected-utility calculus introduced for this purpose by Downs and Tullock and extended by Riker and Ordeshook. The authors suggest that a rational voter, in deciding whether to vote, may use the minimax reg…
On Electoral Equilibria in a Spatial Analysis Based on The Theory of Games
Some Problems in Validation of Mathematical and Stochastic Models of Political Phenomena
This paper, while applauding the efforts of theorists who attempt to integrate the formulation of formal and stochastic models of political institutions and political behavior with empirical analysis of those phenomena, identifies various pitfalls of integrating these analytic forms. A critical analysis of David Rohde's explanation of Supreme Court decision making is utilized to illustrate numerous difficulties with such integrated analyses
Measures of Association for Multiple Regression Models with Ordinal Predictor Variables
On Cross-Lagged Panel Models With Serially Correlated Errors
Cross-lagged panel studies are studies in which two or more variables are measured for a large number of subjects at each of several points in time. The variables divide naturally into two sets, and the purpose of the analysis is to estimate and test the cross-effects between the two sets. One approach to this analysis is to treat the cross-effects as parameters in regression equations. This study contributes to this approach by extending the reg…
Statistical inferences for cross-lagged panel models without the assumption of normal errors
Testing for Lagged, Cotemporal, and Total Dependence in Cross-Lagged Panel Analysis
Panel studies are statistical studies in which two or more variables are observed for two or more subjects at two or more points in time. Cross-lagged panel studies are those studies in which the variables are continuous and divide naturally into two sets. Focus is on estimating and testing the effects, or impacts, of each set of variables on the other. In the regression approach the cross-lagged model is formulated as a multivariate regression m…
Measures of Dependence for Cross-Lagged Panel Models
Panel studies are statistical studies in which two or more responses are measured for two or more individuals, or other sampling units, at two or more waves, or points in time. Typically the number of responses and the number of waves are small but the number of subjects is large. Cross-lagged panel studies are those in which the responses are continuous and divide naturally into two sets. One focus in such studies is to estimate and test the tem…
Developmental epidemiologically based preventive trials
Describes a conceptual framework for identifying and targeting developmental antecedents in early childhood that have been shown in previous work to predict delinquency and violent behavior, heavy drug use, depression, and other psychiatric symptoms and possibly disorders in late adolescence and into adulthood. Criteria are described that guided choices of targets for two epidemiologically based, randomized preventive trials carried out in 19 ele…
Mathematics (16 obras) · Statistics (14 obras) · Econometrics (13 obras) · Computer Science (10 obras) · Economics (7 obras) · Regression (7 obras) · Regression analysis (7 obras) · Psychology (5 obras) · Cross-sectional regression (4 obras) · Game Theory and Voting Systems (4 obras)