observed outcome
1Structure of Observed Learning Outcome — The Structure of Observed Learning Outcome (SOLO) taxonomy is a model that describes levels of increasing complexity in student s understanding of subjects.ATHERTON, J. S. (2005) Learning and Teaching: SOLO taxonomy . [On line] UK: Available:… …
2Likelihood function — In statistics, a likelihood function (often simply the likelihood) is a function of the parameters of a statistical model, defined as follows: the likelihood of a set of parameter values given some observed outcomes is equal to the probability of …
3Exact test — In statistics, an exact (significance) test is a test where all assumptions upon which the derivation of the distribution of the test statistic is based are met, as opposed to an approximate test, in which the approximation may be made as close… …
4Program evaluation — is a formalized approach to studying the goals, processes, and impacts of projects, policies and programs. Program evaluation is used in the public and private sector and is taught in numerous universities. Evaluation became particularly relevant …
5Internal validity — is the validity of (causal) inferences in scientific studies, usually based on experiments as experimental validity [ Mitchell, M. and Jolley, J. (2001). Research Design Explained (4th Ed) New York:Harcourt.] . Details Inferences are said to… …
6Doubly stochastic model — In statistics, a doubly stochastic model is a type of model that can arise in many contexts, but in particular in modelling time series and stochastic processes. The basic idea for a doubly stochastic model is that an observed random variable is… …
7Mechanism (sociology) — During the last decade there has been a growing interest in social mechanisms and mechanism based explanations, not only in sociology and the social sciences but also in philosophy of science, particularly philosophy of biology. Although many… …
8Probability of error — In statistics, the term error arises in two ways. Firstly, it arises in the context of decision making, where the probability of error may be considered as being the probability of making a wrong decision and which would have a different value… …
9Bayes' theorem — /bayz, bay ziz/, Statistics. a theorem describing how the conditional probability of each of a set of possible causes, given an observed outcome, can be computed from knowledge of the probability of each cause and of the conditional probability… …
10Bayes' theorem — noun Statistics a theorem expressing the conditional probability of each of a set of possible causes for a given observed outcome in terms of the known probability of each cause and the conditional probability of the outcome of each cause.… …
