Ronald Schoenberg
Dados Biográficos
| ID | 4061089 |
|---|---|
| NOME | Ronald Schoenberg |
| PRENOMES | Ronald |
| SOBRENOME | Schoenberg |
| ASSINATURA | SCHOENBERG R |
| AFILIAÇÕES | National Institute of Mental Health |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 15 |
| TOTAL DE CITAÇÕES | 37 |
| TOTAL COMO AUTOR | 15 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 1972 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 1989 |
| ÍNDICE H | 3 |
Latent Variable Models of Dichotomous Data
This issue of Sociological Methods & Research contains four excellent illustrations of current methods for analyzing dichotomous data: dichotomous factor analysis (Muthén, 1989), latent trait analysis (Eaton et al., 1989), and grade of membership analysis (Woodbury and Manton, 1989). These methods are now sufficiently developed for use by researchers, though a lack of available software for the grade of membership model renders that method mostly…
Covariance Structure Models
The term intersectionality references the critical insight that race, class, gender, sexuality, ethnicity, nation, ability, and age operate not as unitary, mutually exclusive entities, but rather as reciprocally constructing phenomena. Despite this ...Read More
Lincs
Miss
MISS is a computer program written in the GAUSS programming language for the microcomputer (with DOS operating system and mathcoprocessor). It provides several options for incomplete data sets. First, it will produce maximum likelihood estimates of the covariance matrix and mean vector via the EM algorithm. It will also generate a new data set with data substituted for the missing observations. This is analogous to computing factors scores in fac…
Linear Statistical Models and Related Methods
Stochastic Modelling of Social Processes
Latent Variables in the Analysis of Limited Dependent Variables
Application of the EM Method
The EM (Estimation-Maximization) algorithm is exploited to provide maximum likelihood estimates of the parameters of multiple indicator/factor analysis models. This method reduces considerably the storage and computational burden of such estimation. A computer program in BASIC language that performs the computations is listed in an appendix. The specification of correlated errors is also provided for in this application of the method
Alcohol Use and Cognitive Loss among Employed Men and Women
A representative sample of 1,367 employed men and women in Detroit responded to questions about their drinking practices and then completed a cognitive test which measures abstraction abilities. Abstraction, tested while respondents were sober, decreased significantly as reported quantity of alcohol usually consumed per drinking occasion increased. (Am J Public Health 1983; 73:521-526.)
Multiple Indicator Models
Expressions are given for the calculation of the estimates and the standard errors of the estimates of the unconstrained means of the constructs in multiple indicator models. If the 'reference' indicators-that is, the indicators whose loadings are fixed to 1., thereby identifying the variance of the construct and establishing its scale or units of measure-are exclusive-that is, load only on the construct for which it is a 'reference'-then the con…
Assessing Comparability of Measurement in Cross-National Research
Joanne Miller, Kazimierz M. Slomczynski, Ronald J. Schoenberg, Assessing Comparability of Measurement in Cross-National Research: Authoritarian-Conservatism in Different Sociocultural Settings, Social Psychology Quarterly, Vol. 44, No. 3 (Sep., 1981), pp. 178-191
Evaluating Information
Dynamic models and cross-sectional data
Dynamic models and cross-sectional data
Strategies for Meaningful Comparison
D. T. Campbell and T. C. Stanley (1963, p. 176) pinpointed perhaps the crucial aspect of research activity: Any appearance of absolute knowledge or intrinsic knowledge about singular isolated objects is found to be illusory upon analysis. Securing scientific evidence involves making at least one comparison. In nonexperimental and survey research especially, many comparisons-the more the better-are made in order to estimate and control for extrane…
Assessing Comparability of Measurement in Cross-National Research
Joanne Miller, Kazimierz M. Slomczynski, Ronald J. Schoenberg, Assessing Comparability of Measurement in Cross-National Research: Authoritarian-Conservatism in Different Sociocultural Settings, Social Psychology Quarterly, Vol. 44, No. 3 (Sep., 1981), pp. 178-191
Alcohol Use and Cognitive Loss among Employed Men and Women
A representative sample of 1,367 employed men and women in Detroit responded to questions about their drinking practices and then completed a cognitive test which measures abstraction abilities. Abstraction, tested while respondents were sober, decreased significantly as reported quantity of alcohol usually consumed per drinking occasion increased. (Am J Public Health 1983; 73:521-526.)
Strategies for Meaningful Comparison
D. T. Campbell and T. C. Stanley (1963, p. 176) pinpointed perhaps the crucial aspect of research activity: Any appearance of absolute knowledge or intrinsic knowledge about singular isolated objects is found to be illusory upon analysis. Securing scientific evidence involves making at least one comparison. In nonexperimental and survey research especially, many comparisons-the more the better-are made in order to estimate and control for extrane…
Dynamic models and cross-sectional data
Covariance Structure Models
The term intersectionality references the critical insight that race, class, gender, sexuality, ethnicity, nation, ability, and age operate not as unitary, mutually exclusive entities, but rather as reciprocally constructing phenomena. Despite this ...Read More
Stochastic Modelling of Social Processes
Application of the EM Method
The EM (Estimation-Maximization) algorithm is exploited to provide maximum likelihood estimates of the parameters of multiple indicator/factor analysis models. This method reduces considerably the storage and computational burden of such estimation. A computer program in BASIC language that performs the computations is listed in an appendix. The specification of correlated errors is also provided for in this application of the method
Strategies for Meaningful Comparison
D. T. Campbell and T. C. Stanley (1963, p. 176) pinpointed perhaps the crucial aspect of research activity: Any appearance of absolute knowledge or intrinsic knowledge about singular isolated objects is found to be illusory upon analysis. Securing scientific evidence involves making at least one comparison. In nonexperimental and survey research especially, many comparisons-the more the better-are made in order to estimate and control for extrane…
Dynamic models and cross-sectional data
Dynamic models and cross-sectional data
Evaluating Information
Assessing Comparability of Measurement in Cross-National Research
Joanne Miller, Kazimierz M. Slomczynski, Ronald J. Schoenberg, Assessing Comparability of Measurement in Cross-National Research: Authoritarian-Conservatism in Different Sociocultural Settings, Social Psychology Quarterly, Vol. 44, No. 3 (Sep., 1981), pp. 178-191
Multiple Indicator Models
Expressions are given for the calculation of the estimates and the standard errors of the estimates of the unconstrained means of the constructs in multiple indicator models. If the 'reference' indicators-that is, the indicators whose loadings are fixed to 1., thereby identifying the variance of the construct and establishing its scale or units of measure-are exclusive-that is, load only on the construct for which it is a 'reference'-then the con…
Alcohol Use and Cognitive Loss among Employed Men and Women
A representative sample of 1,367 employed men and women in Detroit responded to questions about their drinking practices and then completed a cognitive test which measures abstraction abilities. Abstraction, tested while respondents were sober, decreased significantly as reported quantity of alcohol usually consumed per drinking occasion increased. (Am J Public Health 1983; 73:521-526.)
Application of the EM Method
The EM (Estimation-Maximization) algorithm is exploited to provide maximum likelihood estimates of the parameters of multiple indicator/factor analysis models. This method reduces considerably the storage and computational burden of such estimation. A computer program in BASIC language that performs the computations is listed in an appendix. The specification of correlated errors is also provided for in this application of the method
Latent Variables in the Analysis of Limited Dependent Variables
Linear Statistical Models and Related Methods
Stochastic Modelling of Social Processes
Lincs
Miss
MISS is a computer program written in the GAUSS programming language for the microcomputer (with DOS operating system and mathcoprocessor). It provides several options for incomplete data sets. First, it will produce maximum likelihood estimates of the covariance matrix and mean vector via the EM algorithm. It will also generate a new data set with data substituted for the missing observations. This is analogous to computing factors scores in fac…
Latent Variable Models of Dichotomous Data
This issue of Sociological Methods & Research contains four excellent illustrations of current methods for analyzing dichotomous data: dichotomous factor analysis (Muthén, 1989), latent trait analysis (Eaton et al., 1989), and grade of membership analysis (Woodbury and Manton, 1989). These methods are now sufficiently developed for use by researchers, though a lack of available software for the grade of membership model renders that method mostly…
Covariance Structure Models
The term intersectionality references the critical insight that race, class, gender, sexuality, ethnicity, nation, ability, and age operate not as unitary, mutually exclusive entities, but rather as reciprocally constructing phenomena. Despite this ...Read More
Computer Science (12 obras) · Mathematics (11 obras) · Econometrics (9 obras) · Statistics (9 obras) · Psychology (6 obras) · Data science (5 obras) · Advanced Statistical Methods and Models (4 obras) · Data mining (4 obras) · Sociology (4 obras) · Advanced Statistical Modeling Techniques (3 obras)