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Longer titles found: Ordinal data type (view)

searching for Ordinal data 31 found (54 total)

John K. Kruschke (2,078 words) [view diff] exact match in snippet view article find links to article

comparison . Liddell and Kruschke showed that the common practice of treating ordinal data (such as subjective ratings) as if they were metric values can systematically

Ordinal utility (3,953 words) [view diff] exact match in snippet view article find links to article

Andranik Tangian to develop methods for their construction from purely ordinal data. In particular, additive and quadratic utility functions in n {\displaystyle

Effect size (7,836 words) [view diff] exact match in snippet view article find links to article

{\displaystyle d} , originally developed by Norman Cliff for use with ordinal data,[dubious – discuss] is a measure of how often the values in one distribution

Ordered logit (1,313 words) [view diff] case mismatch in snippet view article find links to article

logit Multinomial probit McCullagh, Peter (1980). "Regression Models for Ordinal Data". Journal of the Royal Statistical Society. Series B (Methodological)

Minimax (3,814 words) [view diff] exact match in snippet view article find links to article

measurements (that outcomes include "how much better or worse"), and returns ordinal data, using only the modeled outcomes: the conclusion of a minimax analysis

Roger Shepard (3,016 words) [view diff] exact match in snippet view article find links to article

with a tool of enormous power for uncovering metric structures from ordinal data on similarities." Awarding Shepard its Rumelhart Prize in 2006, the Cognitive

Likert scale (3,224 words) [view diff] exact match in snippet view article find links to article

respects, to the extent to which Likert items are interpreted as being ordinal data. There are two primary considerations in this discussion. First, Likert

One-hot (1,194 words) [view diff] exact match in snippet view article find links to article

Ordinal data has a ranked order for its values and can therefore be converted to numerical data through ordinal encoding. An example of ordinal data would

Florence Nightingale David (1,614 words) [view diff] exact match in snippet view article find links to article

function and allied tables 1968: Normal centroids, medians and scores for ordinal data 1971: A first course in statistics "Florence Nightingale David – Biography"

Ordinal regression (1,316 words) [view diff] exact match in snippet view article find links to article

Two approaches. NIPS. McCullagh, Peter (1980). "Regression models for ordinal data". Journal of the Royal Statistical Society. Series B (Methodological)

Stochastic multicriteria acceptability analysis (238 words) [view diff] exact match in snippet view article find links to article

da Costa J.F., Cardoso J.S. (2013). Multicriteria models for learning ordinal data: A literature review. In Yang X.S. Artificial Intelligence, Evolutionary

Ranking (statistics) (702 words) [view diff] exact match in snippet view article

numerical data 3.4, 5.1, 2.6, 7.3 are 2, 3, 1, 4. As another example, the ordinal data hot, cold, warm would be replaced by 3, 1, 2. In these examples, the

Polychoric correlation (440 words) [view diff] case mismatch in snippet view article find links to article

, Nanyonga, R. C., & Kvist, T. (2022). "Polychoric Correlation with Ordinal Data in Nursing Research". Nursing research, 10.1097/NNR.0000000000000614

Central tendency (1,720 words) [view diff] exact match in snippet view article find links to article

mode are the only measures of central tendency that can be used for ordinal data, in which values are ranked relative to each other but are not measured

Mathematical statistics (1,935 words) [view diff] no match in snippet view article find links to article

In terms of levels of measurement, non-parametric methods result in "ordinal" data. As non-parametric methods make fewer assumptions, their applicability

OpenMx (582 words) [view diff] exact match in snippet view article find links to article

or covariance matrices. Models can handle mixtures of continuous and ordinal data. The current version is OpenMx 2, and is available on CRAN. Path analysis

Generalized estimating equation (1,308 words) [view diff] exact match in snippet view article find links to article

Geert Molenberghs; Edwin R. van den Heuvel (2014). "GEE for longitudinal ordinal data: Comparing R-geepack, R-multgee, R-repolr, SAS-GENMOD, SPSS-GENLIN" (PDF)

Confirmatory factor analysis (3,479 words) [view diff] case mismatch in snippet view article find links to article

Alternative Methods of Estimation for Confirmatory Factor Analysis With Ordinal Data". Psychological Methods. 9 (4): 466–491. doi:10.1037/1082-989x.9.4.466

Roxy Peck (273 words) [view diff] exact match in snippet view article find links to article

Fields Statistics Institutions California Polytechnic State University Thesis Some techniques for the analysis of cross-classified ordinal data (1979)

Norman Cliff (342 words) [view diff] exact match in snippet view article find links to article

ISBN 0-8058-1333-0 Cliff, N. (1996). Answering ordinal questions with ordinal data using ordinal statistics. Multivariate Behavioral Research, 31, 331–350

The Diseases Population Index for lung cancer incidence (383 words) [view diff] exact match in snippet view article find links to article

Grawath, ranging from ‘very low’ to ‘extremely serious’ and constitute ordinal data. Countries with similar DPI values are in a level and form clusters.

Multidimensional scaling (3,244 words) [view diff] exact match in snippet view article find links to article

with interval or ratio level data), and Nonmetric MDS (which deals with ordinal data). Decide number of dimensions – The researcher must decide on the number

Quantile (3,228 words) [view diff] exact match in snippet view article find links to article

such interpolation.) Quantiles can also be used in cases where only ordinal data are available. Values that divide sorted data into equal subsets other

Condorcet's jury theorem (1,756 words) [view diff] exact match in snippet view article find links to article

fashion that is both mathematically sound (by avoiding averaging of ordinal data), mathematically tractable for further analysis, and in a manner that

Exploratory factor analysis (5,109 words) [view diff] no match in snippet view article find links to article

procedures for continuous, ordinal, and heterogenous (continuous and ordinal) data. With the exception of Revelle and Rocklin's (1979) very simple structure

Mann–Whitney U test (5,746 words) [view diff] exact match in snippet view article find links to article

not test the same hypotheses and should be compared with this in mind. Ordinal data The Mann–Whitney U test is preferable to the t-test when the data are

Cultural consensus theory (2,095 words) [view diff] case mismatch in snippet view article find links to article

Batchelder, William H. (March 2015). "Cultural Consensus Theory for the Ordinal Data Case". Psychometrika. 80 (1): 151–181. doi:10.1007/s11336-013-9382-9

Vine copula (3,037 words) [view diff] exact match in snippet view article find links to article

Kurowicka, D.; Cooke, R.M.; Ababei, D.A. (2010). "Mining and visualising ordinal data with non-parametric continuous BBNs". Computational Statistics and Data

Krippendorff's alpha (5,534 words) [view diff] exact match in snippet view article find links to article

}}v=v'\\1&{\text{if }}v\neq v'\end{cases}}} , where v and v' serve as names. For ordinal data δ ordinal ( v , v ′ ) = ( [ ∑ g = v g = v ′ n g ] − n v + n v ′ 2 ) 2

List of women in statistics (8,599 words) [view diff] exact match in snippet view article find links to article

Taiwanese and New Zealand statistician specializing in categorical and ordinal data Regina Liu, American statistician, invented simplicial depth Lisa Lix

Model-based clustering (3,522 words) [view diff] exact match in snippet view article find links to article

variables are of different types, such as continuous, categorical or ordinal data. A latent class model for mixed data assumes local independence between