Graduate studies at Western
Behavioral and Brain Sciences 26 (6):729-730 (2003)
|Abstract||Ruchkin et al.'s theoretical conclusions reflect two venerable fallacies. They confound an experimental paradigm with a theoretical concept, and they assume that features of the paradigm that are most readily detected by their methods provide an adequate account of the operation of the theoretical system. This results in a simplistic theory that does not do justice to the richness of the available data.|
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
|Through your library||Configure|
Similar books and articles
Kevin T. Kelly & Clark Glymour (1990). Theory Discovery From Data with Mixed Quantifiers. Journal of Philosophical Logic 19 (1):1 - 33.
Joseph Ramsey & Clark Glymour, Experiments on the Accuracy of Algorithms for Inferring the Structure of Genetic Regulatory Networks From Microarray Expression Levels.
Sylvia Culp (1995). Objectivity in Experimental Inquiry: Breaking Data-Technique Circles. Philosophy of Science 62 (3):438-458.
Christian G. Huber (2009). Interdependence of Theoretical Concepts and Neuroimaging Data. Poiesis and Praxis 6 (3-4):203-217.
Jorge P. Zubelli (2010). On the Calibration of a Size-Structured Population Model From Experimental Data. Acta Biotheoretica 58 (4):405-413.
Clark A. Chinn & William F. Brewer (1996). Mental Models in Data Interpretation. Philosophy of Science 63 (3):219.
Todd Harris (2003). Data Models and the Acquisition and Manipulation of Data. Philosophy of Science 70 (5):1508-1517.
Emma Smith (2008). Pitfalls and Promises: The Use of Secondary Data Analysis in Educational Research. British Journal of Educational Studies 56 (3):323 - 339.
Sorry, there are not enough data points to plot this chart.
Added to index2009-01-28
Recent downloads (6 months)0
How can I increase my downloads?