Quantitative sociology : international perspectives on mathematical and statistical modeling /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Blalock, Hubert M.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Academic Press, �1975.
Colección:Quantitative studies in social relations.
Temas:
Sociology > Mathematical models.
Sociologie > Mod�eles math�ematiques.
Sociology > Mathematical models
Soziologie
Mathematisches Modell
Aufsatzsammlung
Statistisches Modell
Statistik
�Okonometrie
Mathematik
Wiskundige modellen.
Kwantitatieve gegevens.
Sociologie.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover; Quantitative Sociology: International Perspectives on Mathematical and Statistical Modeling; Copyright Page; Table of Contents; List of Editors and Contributors; Preface To English-Language Edition; Acknowledgments; Part I: Causal Analysis, Structure, and Change; Chapter 1. Diachronic Correlation, Process Analysis and Causal Analysis; 1. INTRODUCTION; 2. SOME DIACHRONIC DESIGNS; 3. SAMPLING FOR DIACHRONIC ANALYSIS; 4. UNIVARIATE DIACHRONIC ANALYSIS; 5. BIVARIATE DIACHRONIC ANALYSIS; 6. THE PROBLEMS OF MONOTONICITY; 7. CAUSE-EFFECT RELATIONS AND DIACHRONIC ANALYSIS; 8. CONCLUSION
  • Chapter 2. A Probabilistic Analysis of Causality1. INTRODUCTION; 2. CAUSAL RELATIONS AMONG EVENTS; 3. A CAUSAL ALGEBRA; 4. CAUSAL RELATIONS AMONG QUANTITATIVE PROPERTIES; REFERENCES; Chapter 3. Causal Interpretations of Statistical Relationships in Social Research; 1. THE PROBLEM OF CAUSALITY; 2. TYPOLOGY OF CAUSAL RELATIONS; 3. STATISTICAL LAWS AND HISTORICAL GENERALIZATIONS; 4. STATISTICAL RELATIONSHIPS IN UNCONDITIONAL AND CONDITION- AL CAUS AL PATTERNS; 5. STATISTICAL RELATIONSHIPS IN MULTISTAGE CAUSAL CHAINS; 6. CAUSALITY, CORRELATION AND SPURIOUS INDEPENDENCE; 7. SPURIOUS CORRELATIONS
  • 8. THE TEST VARIABLE AS A SUPPLEMENTARY FACTOR AND AS AN ALTERNATIVE CAUSE OF B9. SOME OTHER FUNCTIONS OF THE TEST VARIABLE; 10. A TYPOLOGY OF THREE-VARIABLE ANALYSES; 11. ADDITIVITY AND INTERACTION BETWEEN THE QUANTITATIVE VARIABLES; REFERENCES; Chapter 4. On a General Scheme of Causal Analysis; 1. ANALYSIS OF THE CAUSAL SCHEME STRUCTURE; 2. NUMERICAL EVALUATION OF CAUSAL CONNECTIONS; 3. SOME CONSIDERATIONS IN USING THE ENTROPY FUNCTION IN CAUSAL ANALYSIS; 4. CONCLUSION; REFERENCES; Chapter 5. Informational Measures of Causal Influence; 1. THE GENERAL PROBLEM
  • 2. FROM ENTROPY TO A CAUSAL MEASURE3. AN ILLUSTRATION; 4. SUMMARY; REFERENCES; Chapter 6. The Structure of Multidimensional Random Variables and Its Utilization in Social Research; 1. INTRODUCTION; 2. FORMALIZATION OF THE CONCEPT OF DIRECT CONNECTION; 3. GENERAL DEFINITIONS AND THEOREMS; 4. FOLDING AND EXPANDING THE STRUCTURE OF A RANDOM VARIABLE; 5. THE APPLICATION OF STRUCTURE TO THE ANALYSIS OF COMPLEX STATISTICAL POPULATIONS; 6. CONCERNING THE PHYSICAL MEANING OF A RANDOM SET STRUCTURE; 7. THE PROBLEM OF FINDING THE RANDOM VARIABLE STRUCTURE; REFERENCES
  • Chapter 7. Structural Parameters of Graphs: A Theoretical Investigation1. INTRODUCTION; 2. PRELIMINARIES; 3. GRAPH PROPERTIES; 4. NORMING; 5. GRAPHS WITH EXTREME VALUES IN TABLES 5 TO 7; 6. THE RELATION BETWEEN INTEGRATION AND UNIPOLARITY; 7. PROBABILITY NORMING; 8. RELEVANCE AND APPLICATION; REFERENCES; Chapter 8. On the Theory of Social Dependence; INTRODUCTION; 2. DEPENDENCE AS A SOCIAL FORCE; Part II: Design, Measurement, and Classification; Chapter 9. Representation, Randomization, and Control; 1. INTRODUCTION; 2. FOUR CLASSES OF VARIABLES; 3. STATISTICAL TESTS

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