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From probability theory the disjunction of two events is at least as likely as either of the events individually. For example, the probability of being either a physics or biology major is at least as likely as being a physics major, if not more likely.
The Vroom–Yetton contingency model is a situational leadership theory of industrial and organizational psychology developed by Victor Vroom, in collaboration with Philip Yetton (1973) and later with Arthur Jago (1988). The situational theory argues the best style of leadership is contingent to the situation.
Fiedler's contingency model is a dynamic model where the personal characteristics and motivation of the leader are said to interact with the current situation that the group faces. Thus, the contingency model marks a shift away from the tendency to attribute leadership effectiveness to personality alone. [5]
In keeping with the goals of psychology [3] (describe, explain, predict, control), a psychobiography is first a description of an individual's life, an explanation or analysis in psychological terms of how the events shaped the individual, and an if/then predictor (if conducting an applied analysis) of the actions the individual might take if given the right situation, leaving the control ...
The Three Levels of Leadership model attempts to combine the strengths of older leadership theories (i.e. traits, behavioral/styles, situational, functional) while addressing their limitations and, at the same time, offering a foundation for leaders wanting to apply the philosophies of servant leadership and "authentic leadership".
Indeed many alternative models exist in econometrics, marketing, sociometrics and other fields, including utility maximization, optimization applied to consumer theory, and a plethora of other identification strategies which may be more or less accurate depending on the data, sample, hypothesis and the particular decision being modelled.
The model is a general probabilistic measurement model which provides a theoretical foundation for the use of sequential integer scores, in a manner that preserves the distinctive property that defines Rasch models: specifically, total raw scores are sufficient statistics for the parameters of the models.
Pólya urn model; Probabilistic automaton; Probabilistic classification; Probabilistic context-free grammar; Probabilistic logic programming; Probabilistic programming; Probabilistic relevance model; Probabilistic relevance model (BM25) Probabilistic voting model