model for estimating the number of aberrant laboratories /by Irwin Guttman and Ingram Olkin.
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model for estimating the number of aberrant laboratories /by Irwin Guttman and Ingram Olkin. by Irwin Guttman

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Published by University of Toronto, Dept. of Statistics in Toronto, Ont .
Written in English

Subjects:

  • Bayesian statistical decision theory,
  • Outliers (Statistics)

Book details:

Edition Notes

SeriesTechnical report -- no. 9110, Technical report (University of Toronto. Dept. of Statistics) -- no. 9110
ContributionsOlkin, Ingram.
Classifications
LC ClassificationsQA279.5 .G84 1991
The Physical Object
Pagination6 p. --
ID Numbers
Open LibraryOL18439519M

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Scoring MMSE items. The MMSE has 11 items worth a total of 30 points (using the scoring given by).The data for two items, worth 3 points each (name 3 items and follow 3-stage instructions), were not entered into the data file in a manner that could be consistently recoded to the 0/1 required by a Guttman model, so these items were by: 3. Whereas Cronbach’s alpha tends to under-estimate the true reliability, Guttman’s reliability may over-estimate reliability when the sample size is small or there are a large number of items. Note that if there are 2 k items (even number), there are C(2 k, k)/2 different split-half partitions of the 2 k items. Ingram Olkin, Irwin Guttman, Robert Philips. Estimating the Number of Aberrant Laboratories. Probability in the Engineering and Informational Sciences , 9 (1), Cited by: Ingram Olkin's 82 research works w citations reads, including: Doubly stochastic matrices Estimating the Number of Aberrant Laboratories. Article. Jan ; Irwin Guttman.

Aberrant response has an important impact on item parameter estimation, individuals’ evaluation, and other statistical analysis. There are various types of aberrant response behaviors in educational and psychological tests, like sleeping, guessing, and plodding. Random response is the most common one. Published in honor of the sixty-fifth birthday of Professor Ingram Olkin of Stanford University. Part I contains a brief biography of Professor Olkin and an interview with him discussing his career and his research interests. Part II contains 32 technical papers written in Professor Olkin's honor by his collaborators, colleagues, and Ph.D. A lumber company must estimate the mean diameter of trees in an area of forest to determine whether or not there is sufficient lumber to harvest. They need to estimate this to within 1 inch at a confidence level of 99%. Suppose the tree diameters are normally dis . Start studying Quiz 2- Learn vocabulary, terms, and more with flashcards, games, and other study tools.

This version of the model is known as the one-parameter logistic model (1PLM), or Rasch model (Rasch ).To illustrate the model, consider an individual with a score θ j of 1 on the latent trait, and a particular item with parameter β = 1. Then the probability of a positive response from this individual on this item equals exp(1 − 1)/(1 + exp(1 − 1)) = exp(0)/(1 + exp(0)) = 1/2 = 50%. yses. If items in fact form a Guttman scale, or are expected to do so, it makes sense to analyze them with a model that takes Guttman’s model assumption of cumulativity into account. 2 Guttman and His Successors: Item Response Theory The Guttman scaling technique for analyzing empirical dichotomous data that form “quasi-. Test reliability is commonly defined in two different ways. For the usual test score model X =+TE, the first definition which is used by Gulliksen(), Guttman (), and Sijtsma (a) is the test-retest model. In this model, reliability is defined as the correlation between X and a parallel measure of X, denoted X ′=TE+. This. In the staff of GPS were introduced to a data-analysis tool called The Guttman Chart Following some activities using Guttman charts to analyse data, teachers were asked to reflect, responding to the prompts: I wondered.