A comparison of parameter covariance estimation methods for item response models in an expectation-maximization framework [PDF]
The Expectation-Maximization (EM) algorithm is a method for finding the maximum likelihood estimate of a model in the presence of missing data. Unfortunately, EM does not produce a parameter covariance matrix for standard errors.
Pritikin, Joshua N.
core +2 more sources
Mindfulness-Based Mobile Applications: Literature Review and Analysis of Current Features
BackgroundInterest in mindfulness has increased exponentially, particularly in the fields of psychology and medicine. The trait or state of mindfulness is significantly related to several indicators of psychological health, and mindfulness-based ...
Plaza, Inmaculada +3 more
doaj +1 more source
Decision theory results for one-sided multiple comparison procedures
A resurgence of interest in multiple hypothesis testing has occurred in the last decade. Motivated by studies in genomics, microarrays, DNA sequencing, drug screening, clinical trials, bioassays, education and psychology, statisticians have been devoting
Cohen, Arthur, Sackrowitz, Harold B.
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Rank ordering of questionnaire items using Wilks’s statistic: an example of application to three populations [PDF]
Wilks’ test (1938) constitutes a major contribution to statistics and in practical applications. It is admittedly a classical method but even so it is of real interest because it is highly convenient to use.
M. Maurin, S. Gaymard
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Confirmatory factor analysis of the Test of Performance Strategies (TOPS) among adolescent athletes [PDF]
The aim of the present study was to examine the factorial validity of the Test of Performance Strategies (TOPS; Thomas et al., 1999) among adolescent athletes using confirmatory factor analysis.
Andrew M Lane +12 more
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Abandon Statistical Significance [PDF]
We discuss problems the null hypothesis significance testing (NHST) paradigm poses for replication and more broadly in the biomedical and social sciences as well as how these problems remain unresolved by proposals involving modified p-value thresholds ...
Gal, David +4 more
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Statistical Hypothesis Testing: A Comprehensive Review of Theory, Methods, and Applications
Statistical hypothesis testing is a foundational concept in inferential statistics, providing formal mechanisms for evaluating evidence and making decisions.
Vesna Rajić
doaj +1 more source
Identification of and correction for publication bias
Some empirical results are more likely to be published than others. Such selective publication leads to biased estimates and distorted inference. This paper proposes two approaches for identifying the conditional probability of publication as a function ...
Andrews, Isaiah, Kasy, Maximilian
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A validity and reliability study of the Attitudes toward Sustainable Development scale [PDF]
This article describes the development and validation of the Attitudes toward Sustainable Development scale, a quantitative 20-item scale that measures Italian university students\u2019 attitudes toward sustainable development.
Biasutti, Michele, Frate, Sara
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Statistical Inferences for Polarity Identification in Natural Language
Information forms the basis for all human behavior, including the ubiquitous decision-making that people constantly perform in their every day lives. It is thus the mission of researchers to understand how humans process information to reach decisions ...
Feuerriegel, Stefan +2 more
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