ideas with a sustained research program. Julian B. Rotter, a professor at Ohio State University published his book, Social Learning and Clinical Psychology in 1954. This was the first extended statement of a comprehensive social learning theory. Rotter moved away from the strictly behaviorist learning of the past, and considered instead the holistic interaction between the individual and the environment. Essentially he was attempting an integration of behaviorism (which generated precise predictions but was limited in its ability to explain complex human interactions) and gestalt psychology (which did a better job of capturing complexity but was much less powerful at predicting actual behavioral choices). In his theory, the social environment and individual personality created probabilities of behavior, and the reinforcement of these behaviors led to learning. He emphasized the subjective nature of the responses and effectiveness of reinforcement types. While his theory used vocabulary common to that of behaviorism, the focus on internal functioning and traits differentiated his theories, and can be seen as a precursor to more cognitive approaches to learning. Rotter's theory is also known as expectancy-value theory due to its central explanatory constructs. Expectancy is defined as the individual's subjectively held probability that a given action will lead to a given outcome. It can range from zero to one, with one representing 100% confidence in the outcome. For example, a person may entertain a given level of belief that they can make a foul shot in basketball or that an additional hour of study will improve their grade on an examination. Reinforcement value is defined as the individual's subjective preference for a given outcome, assuming that all possible outcomes were equally available. In other words, the two variables are independent of each other. These two variables interact to generate behavior potential, or the likelihood that a given action will be performed. The nature of the interaction is not specified, though Rotter suggests that it is likely to be multiplicative. The basic predictive equation is: B.P. = f(E & RV) Although the equation is essentially conceptual, it is possible to enter numerical values if one is conducting an experiment. Rotter's 1954 book contains the results of many such experiments demonstrating this and other principles. Importantly, both expectancies and reinforcement values generalize. After many experiences ('learning trials,' in behaviorist language) a person will develop a generalized expectancy for success in a domain. For example, a person who has played