Psychometrika (Psychometrika)
Description
Psychometrika is devoted to the advancement of theory and methodology for behavioral data in psychology, education and the social and behavioral sciences generally. It has two sections: Theory and Methods (T& M), and Application Reviews and Case Studies (ARCS). T&M articles present original research and, occasionally, insightful reviews, addressing the development of quantitative models, statistical methods, and mathematical techniques for evaluating data from psychology, the social and behavioral sciences, and related fields. ARCS articles provide benchmarks for future applications in any of these areas: Application Reviews can be integrative, drawing together disparate methodologies for applications, or comparative and evaluative, discussing advantages and disadvantages of one or more methodologies in applications. Case Studies highlight methodology that deepens understanding of substantive phenomena through more informative data analysis, and/or more elegant data description.
- Impact factor1.77
- WebsitePsychometrika website
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Other titlesPsychometrika (Online)
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ISSN1860-0980
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OCLC60620508
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Material typeDocument, Periodical, Internet resource
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Document typeInternet Resource, Computer File, Journal / Magazine / Newspaper
Publisher details
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Pre-print
- Author can archive a pre-print version
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Post-print
- Author can archive a post-print version
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Conditions
- Authors own final version only can be archived
- Publisher's version/PDF cannot be used
- On author's website or institutional repository
- On funders designated website/repository after 12 months at the funders request or as a result of legal obligation
- Published source must be acknowledged
- Must link to publisher version
- Set phrase to accompany link to published version (The original publication is available at www.springerlink.com)
- Articles in some journals can be made Open Access on payment of additional charge
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Classification green
Publications in this journal
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Article: On the relationships between Jeffreys modal and weighted likelihood estimation of ability under logistic IRT models
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ABSTRACT: This paper focuses on two estimators of ability with logistic item response theory models: the Bayesian modal (BM) estimator and the weighted likelihood (WL) estimator. For the BM estimator, Jeffreys’ prior distribution is considered, and the corresponding estimator is referred to as the Jeffreys modal (JM) estimator. It is established that under the three-parameter logistic model, the JM estimator returns larger estimates than the WL estimator. Several implications of this result are outlined.Psychometrika 01/2012; 77:163-169. -
Article: Finite Mixture Multilevel Multidimensional Ordinal IRT Models for Large Scale Cross-Cultural Research
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ABSTRACT: This paper provides a survey on studies that analyze the macroeconomic effects of intellectual property rights (IPR). The first part of this paper introduces different patent policy instruments and reviews their effects on R&D and economic growth. This part also discusses the distortionary effects and distributional consequences of IPR protection as well as empirical evidence on the effects of patent rights. Then, the second part considers the international aspects of IPR protection. In summary, this paper draws the following conclusions from the literature. Firstly, different patent policy instruments have different effects on R&D and growth. Secondly, there is empirical evidence supporting a positive relationship between IPR protection and innovation, but the evidence is stronger for developed countries than for developing countries. Thirdly, the optimal level of IPR protection should tradeoff the social benefits of enhanced innovation against the social costs of multiple distortions and income inequality. Finally, in an open economy, achieving the globally optimal level of protection requires an international coordination (rather than the harmonization) of IPR protection.Psychometrika 01/2010; 75(1):3-32. -
Article: Hierarchical multinomial processing tree models: A latent-trait approach.
Psychometrika 01/2010; 75:70-98. -
Article: Statistical Tests of Conditional Independence Between Responses and/or Response Times on Test Items
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ABSTRACT: Mokken scale analysis (MSA) is a scaling procedure for both dichotomous and polytomous items. It consists of an item selection algorithm to partition a set of items into Mokken scales and several methods to check the assumptions of two nonparametric item response theory models: the monotone homogeneity model and the double monotonicity model. First, we present an R package mokken for MSA and explain the procedures. Second, we show how to perform MSA in R using test data obtained with the Adjective Checklist.Psychometrika 01/2010; 75(1):120-139. -
Article: High-dimensional Exploratory Item Factor Analysis by A Metropolis–Hastings Robbins–Monro Algorithm
[show abstract] [hide abstract]
ABSTRACT: This paper provides a survey on studies that analyze the macroeconomic effects of intellectual property rights (IPR). The first part of this paper introduces different patent policy instruments and reviews their effects on R&D and economic growth. This part also discusses the distortionary effects and distributional consequences of IPR protection as well as empirical evidence on the effects of patent rights. Then, the second part considers the international aspects of IPR protection. In summary, this paper draws the following conclusions from the literature. Firstly, different patent policy instruments have different effects on R&D and growth. Secondly, there is empirical evidence supporting a positive relationship between IPR protection and innovation, but the evidence is stronger for developed countries than for developing countries. Thirdly, the optimal level of IPR protection should tradeoff the social benefits of enhanced innovation against the social costs of multiple distortions and income inequality. Finally, in an open economy, achieving the globally optimal level of protection requires an international coordination (rather than the harmonization) of IPR protection.Psychometrika 01/2010; 75(1):33-57. -
Article: Optimal Partitioning of a Data Set Based on the p-Median Model
Psychometrika 02/2008; 73(1):89-105. -
Article: Bayesian Hierarchical Classes Analysis
Psychometrika 02/2008; 73(1):39-64. -
Article: Bayesian Procedures for Identifying Aberrant Response-Time Patterns in Adaptive Testing
Psychometrika 02/2008; 73(3):365-384. -
Article: J. DE LEEUW & E. MEIJER (2007). Handbook of multilevel analysis. New York: Springer. xiii+494 pp. US$199. ISBN:978-0-387-73183-4.
Psychometrika 02/2008; 73(3):523-525. -
Article: The relationship among money supply, banking lending and aggregate demand in China: 1994–2006
Psychometrika 02/2008; 3(4):497-512. -
Article: Reducing Measurement Error in Student Achievement Estimation
Psychometrika 02/2008; 73(2):289-302. -
Article: On the Non-Existence of Optimal Solutions and the Occurrence of “Degeneracy” in the CANDECOMP/PARAFAC Model
Psychometrika 02/2008; 73(3):431-439. -
Article: The investment of human capital of peasant household and the growth of farmers’ income
Psychometrika 02/2008; 3(2):296-311. -
Article: State-holding share, policy burden and performance: A study on the program of strategic investor importing for state-owned banks
Psychometrika 02/2008; 3(4):531-547.
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.
Keywords
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