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The item-total correlation approach is a way of identifying a group of questions whose responses can be combined into a single measure or scale. This is a simple approach that works by ensuring that, when considered across a whole population, responses to the questions in the group tend to vary together and, in particular, that responses to no individual question are poorly related to an ...
[2] [3] This analytical tool is central to multi-scale analysis (see for example, MuSIASEM, land-use analysis). [4] For example, on at the scale of analysis of a given population of zebras, the number of predators (e.g. lions) determines the number of preys that survives after hunting, while at the scale of analysis of the ecosystem, the ...
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This file is licensed under the United Kingdom Open Government Licence v3.0.: You are free to: copy, publish, distribute and transmit the Information; adapt the Information; ...
The K-SADS-PL is used to screen for affective and psychotic disorders as well as other disorders, including, but not limited to Major Depressive Disorder, Mania, Bipolar Disorders, Schizophrenia, Schizoaffective Disorder, Generalized Anxiety, Obsessive Compulsive Disorder, Attention Deficit Hyperactivity Disorder, Conduct Disorder, Anorexia Nervosa, Bulimia, and Post-Traumatic Stress Disorder. [4]
NOMINATE (an acronym for Nominal Three-Step Estimation) is a multidimensional scaling application developed by US political scientists Keith T. Poole and Howard Rosenthal in the early 1980s to analyze preferential and choice data, such as legislative roll-call voting behavior.
The discovery of a Guttman scale in data depends on their multivariate distribution's conforming to a particular structure (see below). Hence, a Guttman scale is a hypothesis about the structure of the data, formulated with respect to a specified attribute and a specified population and cannot be constructed for any given set of observations ...
However, those formulas do not tell us how precise the estimates are, i.e., how much the estimators ^ and ^ vary from sample to sample for the specified sample size. Confidence intervals were devised to give a plausible set of values to the estimates one might have if one repeated the experiment a very large number of times.