1 edition of **nonparametric approach for assessing latent trait unidimensionality** found in the catalog.

nonparametric approach for assessing latent trait unidimensionality

William F. Stout

- 237 Want to read
- 12 Currently reading

Published
**1990**
by William Stout Institute for Measurement in [Champaign, IL]
.

Written in English

- Psychometrics.,
- Educational tests and measurements.,
- Psychological tests.,
- Multidimensional scaling.,
- Dimensional analysis.,
- Variability (Psychometrics),
- Nonparametric statistics -- Methodology.

**Edition Notes**

Other titles | POLY-DIMTEST : |

Statement | William Stout. |

Contributions | William Stout Institute for Measurement (Champaign, Ill.) |

The Physical Object | |
---|---|

Pagination | 1 v. [various pagings] : |

ID Numbers | |

Open Library | OL21172588M |

many strong and weak correlations with , indicating an independent latent trait and , indicating unidimensionality. - The number of items in latent traits: With the consideration of the related literature, the number of items in each latent trait was determined as 5 or 20 so that the impact of both parametric and nonparametric Author: Hakan Kogar. Tests of unidimensionality suggest these tests are essentially measuring one major latent trait, which can be interpreted as a factor for word knowledge. Strong correlations of the scores with each other provide evidence of concurrent validity, and for the interpretation of Cited by: 5.

latent feature representation results in improved link prediction on three real datasets. Finally, we conclude in Section 5. 2 The nonparametric latent feature relational model Assume we observe the directed relational links between a set of N entities. Let Y be the N × N binary matrix that contains these links. That is, let y. The approach is flexible and works well both when the unknown function can be closely approximated by a linear function and when it cannot be. A Bayesian model selection technique is used to determine which functions can be modeled using a linear function and which ones should be modeled nonparametrically to provide the necessary flexibility to Cited by:

Nonparametric statistics includes nonparametric descriptive statistics, statistical models, inference, and statistical model structure of nonparametric models is not specified a priori. The trait may be the result of defective intelligence, genetic abnormalities, drugs and alcohol or other issues. However, these latent traits are dormant unless the individual is in an environment.

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Assuming a nonparametric family of item response theory models, a theory-based procedure for testing the hypothesis of unidimensionality of the latent space is proposed.

The asymptotic distribution of the test statistic is derived assuming unidimensionality, thereby establishing an asymptotically valid statistical test of the unidimensionality of the latent by: A.

Béguin & C. Glas, "MCMC estimation and some model-fit analysis of multidimensional IRT models," Psychometrika, Springer;The Psychometric Society, vol. 66(4), pagesa Gnaldi & Silvia Bacci, "Joint assessment of the latent trait dimensionality and observed differential item functioning of students’ national tests," Quality & Quantity: International.

A procedure--based on item response theory--for testing the hypothesis of unidimensionality of the latent space is proposed. Use of the procedure is supported by an asymptotic theory and a Monte Carlo simulation study.

A Nonparametric Approach for Assessing Latent Trait Cited by: Abstract. Item response theory (IRT) is a family of statistical psychometric models for discretely scored responses of subjects (students, survey respondents, etc.) to items (questions) on exams, surveys, and so on, using a continuous latent variable to represent the general propensity of each subject to respond positively to each item or by: 2.

Methodology Review: Assessing Unidimensionality of Tests and ltenls John Hattie University of New England, Australia Various methods for determining unidimensionality are reviewed and the rationale of these methods is as- sessed.

Indices based on answer patterns, reliability, components and factor analysis, and latent traits are reviewed. It is shown that many of the indices lack aFile Size: 3MB.

A nonparametric approach for assessing latent trait unidimensionality. Full citation; Abstract. unidimensionality, local independence, test of unidimensionality, latent trait theory, latent structure analysis, item response theory, large sample theory, asymptotic distribution theory, nonparametric test, DOI identifier: /BFAuthor: William Stout.

The dimensionality of tests and items. Roderick P. McDonald. Corresponding Author. School of Education, Macquarie University, North Ryde, NSWAustralia. A Two-Facet Approach, Structural Equation Modeling: A A nonparametric approach for assessing latent trait unidimensionality, Psychometrika, 52, 4, () Cited by: Item response theory (IRT) has a number of potential advantages over classical test theory in assessing self-reported health outcomes.

IRT models yield invariant item and latent trait estimates (within a linear transformation), standard errors conditional on trait level, and trait estimates anchored to item by: The concept of unidimensionality is a specific instance of the principle of local independence – that is, the existence of one latent trait underlying the data.

The principle of local independence requires that responses to different items are uncorrelated when θ (the person’s ability) is fixed, although it does not require that items be. Nonparametric statistics is the branch of statistics that is not based solely on parametrized families of probability distributions (common examples of parameters are the mean and variance).

Nonparametric statistics is based on either being distribution-free or having a specified distribution but with the distribution's parameters unspecified. Assuming a nonparametric family of item response theory models, a theory-based procedure for testing the hypothesis of unidimensionality of the latent space is proposed.

Nonparametric Method: A method commonly used in statistics to model and analyze ordinal or nominal data with small sample sizes. Unlike parametric models, nonparametric models do Author: Will Kenton.

Conditional Covariance-Based Nonparametric Multidimensionality Assessment William Stout and Brian Habing, University of Illinois Jeff Douglas, University of Wisconsin Hae Rim Kim, Sanji University Louis Roussos, Law School Admission Council Jinming Zhang, Educational Testing Service According to the weak local independence approach to defining dimensionality, the fundamental quantities.

William Stout, "A nonparametric approach for assessing latent trait unidimensionality," Psychometrika, Springer;The Psychometric Society, vol. 52(4), pagesDecember. Full references (including those not matched with items on IDEAS). The chapter utilizes specific functional forms for the relation between the latent trait on the one side and the residuals variances and the factor loadings on the other side.

The develpoment of nonparametric approaches could ideally be combined into a single model with existing nonparametric approaches to modeling the latent trait : Dylan Molenaar, Conor V.

Dolan. Some exact tests for manifest properties of latent trait models personal copy 44 A nonparametric approach for assessing latent trait unidimensionality for assessing latent trait. Nandakumar, R. Assessing essential unidimensionality of real data: Applied Psychological Measurement Vol 17(1) MarNandakumar, R., & Stout, W.

Refinements of Stout's procedure for assessing latent trait unidimensionality: Journal. In psychometrics, item response theory (IRT) (also known as latent trait theory, strong true score theory, or modern mental test theory) is a paradigm for the design, analysis, and scoring of tests, questionnaires, and similar instruments measuring abilities, attitudes, or other variables.

It is a theory of testing based on the relationship between individuals' performances on a test item and. Refinements of Stout's Procedure for Assessing Latent Trait Unidimensionality by Ratna Nandakumar () Most widely held works by William F Stout Almost sure convergence by William F Stout (Book).

Latent trait theories developed by Gottfredson, Hirschi, Wilson, and Hernstein integrate choice theory concepts; people with latent traits choose crime over non-crime and the opportunity for crime mediates their choice.

Developmental theories look at multiple factors derived from a number of different structural and process theories. The influence of test and sample dimensionality on latent trait person ability and item difficulty calibrations.

Grant Henning. Language Testing 5: 1 The influence of test and sample dimensionality on latent trait person ability and item difficulty calibrations An approach to assessing unidimensionality revisited.

Applied Cited by: also be applied to construct nonparametric regression estimates, where one does not restrict the class of possible relationships, and will be one of the approaches studied in this book. Linear regression analysis, based on the concept of a regression function, was introduced .conservative approach when considering the revision of measuring scales for a particular set of items.

Key Words Distribution Statement Item Anchors, Latent Trait Theory, Item Response Theory, Differential Item Functioning, Measurement Equivalence Document is available to the public through the National Technical Information Service.