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  1. Frederick S. Ellett & David P. Ericson (1997). In Defense of Public Reason: On the Nature of Historical Rationality. Educational Theory 47 (2):133-161.
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  2. David P. Ericson (1997). Orientation to Philoshophy of Education: Locating the Field of Play for New Audiences. Educational Theory 47 (4):501-511.
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  3. David P. Ericson (1991). Humanization, Democracy, and Political Education. Studies in Philosophy and Education 11 (1):31-43.
  4. David P. Ericson (1991). Introduction. Studies in Philosophy and Education 11 (1):1-2.
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  5. David P. Ericson (1991). Potential" Siyers of greatToSs" S^ V^ de^ I^™^** F. Studies in Philosophy and Education 11:31-43.
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  6. David P. Ericson (1990). Editor's Note. Studies in Philosophy and Education 10 (1):1-2.
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  7. David P. Ericson & Frederick S. Ellett (1987). Teacher Accountability and the Causal Theory of Teaching. Educational Theory 37 (3):277-293.
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  8. Frederick S. Elett & David P. Ericson (1986). An Analysis of Probabilistic Causation in Dichotomous Structures. Synthese 67 (2):175-193.
    During the past decades several philosophers of science and social scientists have been interested in the problems of causation. Recently attention has been given to probabilistic causation in dichotomous causal systems. The paper uses the basic features of probabilistic causation to argue that the causal modeling approaches developed by such researchers as Blalock (1964) and Duncan (1975) can provide, when an additional assumption is added, adequate qualitative measures of one variable causal influence upon another. Finally, some of the difficulties and (...)
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  9. Frederick S. Ellett & David P. Ericson (1986). Correlation, Partial Correlation, and Causation. Synthese 67 (2):157-173.
    Philosophers and scientists have maintained that causation, correlation, and partial correlation are essentially related. These views give rise to various rules of causal inference. This essay considers the claims of several philosophers and social scientists for causal systems with dichotomous variables. In section 2 important commonalities and differences are explicated among four major conceptions of correlation. In section 3 it is argued that whether correlation can serve as a measure of A's causal influence on B depends upon the conception of (...)
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  10. Frederick S. Ellett Jr & David P. Ericson (1986). An Analysis of Probabilistic Causation in Dichotomous Structures. Synthese 67 (2):175 - 193.
    During the past decades several philosophers of science and social scientists have been interested in the problems of causation. Recently attention has been given to probabilistic causation in dichotomous causal systems. The paper uses the basic features of probabilistic causation to argue that the causal modeling approaches developed by such researchers as Blalock (1964) and Duncan (1975) can provide, when an additional assumption is added, adequate qualitative measures of one variableś causal influence upon another. Finally, some of the difficulties and (...)
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  11. Frederick S. Ellett Jr & David P. Ericson (1986). Correlation, Partial Correlation, and Causation. Synthese 67 (2):157 - 173.
    Philosophers and scientists have maintained that causation, correlation, and "partial correlation" are essentially related. These views give rise to various rules of causal inference. This essay considers the "claims of several philosophers and social scientists for causal systems with dichotomous variables. In section 2 important commonalities and differences are explicated among four major conceptions of correlation. In section 3 it is argued that whether correlation can serve as a measure of A's causal influence on B depends upon the conception of (...)
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  12. Frederick S. Ellett Jr & David P. Ericson (1985). Causal Laws and Laws of Association. Noûs 19 (4):537 - 549.
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  13. David P. Ericson (1984). Liberty and Equality in Education: A Summary Review. Educational Theory 34 (1):97-102.
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  14. Frederick S. Ellett & David P. Ericson (1983). The Logic of Causal Methods in Social Science. Synthese 57 (1):67-82.
    Two kinds of causal inference rules which are widely used by social scientists are investigated. Two conceptions of causation also widely used are explicated — the INUS and probabilistic conceptions of causation. It is shown that the causal inference rules which link correlation, a kind of partial correlation, and a conception of causation areinvalid. It is concluded anew methodology is required for causal inference.
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  15. Frederick S. Ellett Jr & David P. Ericson (1983). The Logic of Causal Methods in Social Science. Synthese 57 (1):67 - 82.
    Two kinds of causal inference rules which are widely used by social scientists are investigated. Two conceptions of causation also widely used are explicated -- the INUS and probabilistic conceptions of causation. It is shown that the causal inference rules which link correlation, a kind of partial correlation, and a conception of causation are invalid. It is concluded a new methodology is required for causal inference.
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  16. David P. Ericson (1979). Response to Phillips and Nicolayev: Kohlberg's "Research Program". Educational Theory 29 (4):345-348.