H M Blalock H M Blalock
Biographic Data
| ID | 4999947 |
|---|---|
| NAME | H M Blalock H M Blalock |
| GIVEN NAMES | H M Blalock H M |
| FAMILY NAME | Blalock |
| SIGNATURE | BLALOCK H M B H M |
| VERIFIED | No |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 56 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1959 |
| LATEST PUBLICATION YEAR | 1967 |
| H-INDEX | 5 |
Tests of Status Inconsistency Theory: A Note of Caution
Some Implications of Random Measurement Error for Causal Inferences
Random measurement errors can lead to faulty inferences by introducing additional unknowns. This makes pausible a number of alternative explanations that should be explicitly noted. One can study the implications of measurement errors by adding measurement error components to causal models. This approach is used in five specific situations: (1) where one is testing for spuriousness or interpreting by means of intervening variables; (2) where inde…
Scientific Method: Optimizing Applied Research Decisions. Russell L. Ackoff
Making Causal Inferences for Unmeasured Variables from Correlations Among Indicators
A technique is suggested for making causal inferences from correlations among indicators of variables that themselves have not been measured. The procedure involves developing causal models using both the indicators and the underlying variables, but then ending up with predictions that use only the measured variables. By selecting several indicators of each underlying variable, some indicators being causes and others effects of the unmeasured var…
Occupational Discrimination: Some Theoretical Propositions
Occupational Discrimination: Some Theoretical Propositions Get access H. M. Blalock, Jr. H. M. Blalock, Jr. Yale University Search for other works by this author on: Oxford Academic PubMed Google Scholar Social Problems, Volume 9, Issue 3, Winter 1962, Pages 240–247, https://doi.org/10.2307/799234 Published: 07 August 2014
Theory, Measurement, and Replication in the Social Sciences
A special type of problem is encountered in attempting to associate theoretically defined concepts with operational definitions whenever we deal with properties that have been defined in terms of their causal implications. The problem is illustrated by the concepts "mass," "power," and "discrimination." To measure these variables, we must make a number of theoretical assumptions about the operation of other variables. If replication is possible, …
Urbanization and Discrimination in the South
Urbanization and Discrimination in the South Get access H. M. Blalock, JR. H. M. Blalock, JR. University of Michigan Search for other works by this author on: Oxford Academic PubMed Google Scholar Social Problems, Volume 7, Issue 2, Autumn 1959, Pages 146–152, https://doi.org/10.2307/799166 Published: 09 August 2014
Occupational Discrimination: Some Theoretical Propositions
Occupational Discrimination: Some Theoretical Propositions Get access H. M. Blalock, Jr. H. M. Blalock, Jr. Yale University Search for other works by this author on: Oxford Academic PubMed Google Scholar Social Problems, Volume 9, Issue 3, Winter 1962, Pages 240–247, https://doi.org/10.2307/799234 Published: 07 August 2014
Tests of Status Inconsistency Theory: A Note of Caution
Theory, Measurement, and Replication in the Social Sciences
A special type of problem is encountered in attempting to associate theoretically defined concepts with operational definitions whenever we deal with properties that have been defined in terms of their causal implications. The problem is illustrated by the concepts "mass," "power," and "discrimination." To measure these variables, we must make a number of theoretical assumptions about the operation of other variables. If replication is possible, …
Urbanization and Discrimination in the South
Urbanization and Discrimination in the South Get access H. M. Blalock, JR. H. M. Blalock, JR. University of Michigan Search for other works by this author on: Oxford Academic PubMed Google Scholar Social Problems, Volume 7, Issue 2, Autumn 1959, Pages 146–152, https://doi.org/10.2307/799166 Published: 09 August 2014
Some Implications of Random Measurement Error for Causal Inferences
Random measurement errors can lead to faulty inferences by introducing additional unknowns. This makes pausible a number of alternative explanations that should be explicitly noted. One can study the implications of measurement errors by adding measurement error components to causal models. This approach is used in five specific situations: (1) where one is testing for spuriousness or interpreting by means of intervening variables; (2) where inde…
Making Causal Inferences for Unmeasured Variables from Correlations Among Indicators
A technique is suggested for making causal inferences from correlations among indicators of variables that themselves have not been measured. The procedure involves developing causal models using both the indicators and the underlying variables, but then ending up with predictions that use only the measured variables. By selecting several indicators of each underlying variable, some indicators being causes and others effects of the unmeasured var…
Urbanization and Discrimination in the South
Urbanization and Discrimination in the South Get access H. M. Blalock, JR. H. M. Blalock, JR. University of Michigan Search for other works by this author on: Oxford Academic PubMed Google Scholar Social Problems, Volume 7, Issue 2, Autumn 1959, Pages 146–152, https://doi.org/10.2307/799166 Published: 09 August 2014
Theory, Measurement, and Replication in the Social Sciences
A special type of problem is encountered in attempting to associate theoretically defined concepts with operational definitions whenever we deal with properties that have been defined in terms of their causal implications. The problem is illustrated by the concepts "mass," "power," and "discrimination." To measure these variables, we must make a number of theoretical assumptions about the operation of other variables. If replication is possible, …
Occupational Discrimination: Some Theoretical Propositions
Occupational Discrimination: Some Theoretical Propositions Get access H. M. Blalock, Jr. H. M. Blalock, Jr. Yale University Search for other works by this author on: Oxford Academic PubMed Google Scholar Social Problems, Volume 9, Issue 3, Winter 1962, Pages 240–247, https://doi.org/10.2307/799234 Published: 07 August 2014
Scientific Method: Optimizing Applied Research Decisions. Russell L. Ackoff
Making Causal Inferences for Unmeasured Variables from Correlations Among Indicators
A technique is suggested for making causal inferences from correlations among indicators of variables that themselves have not been measured. The procedure involves developing causal models using both the indicators and the underlying variables, but then ending up with predictions that use only the measured variables. By selecting several indicators of each underlying variable, some indicators being causes and others effects of the unmeasured var…
Some Implications of Random Measurement Error for Causal Inferences
Random measurement errors can lead to faulty inferences by introducing additional unknowns. This makes pausible a number of alternative explanations that should be explicitly noted. One can study the implications of measurement errors by adding measurement error components to causal models. This approach is used in five specific situations: (1) where one is testing for spuriousness or interpreting by means of intervening variables; (2) where inde…
Tests of Status Inconsistency Theory: A Note of Caution
Computer Science (4 works) · Econometrics (3 works) · Mathematics (3 works) · Psychology (3 works) · Sociology (3 works) · Statistics (3 works) · Volume (thermodynamics) (3 works) · Bayesian Modeling and Causal Inference (2 works) · Causal inference (2 works) · Economics (2 works)