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Multivariate Behavioral Research

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https://www.readbyqxmd.com/read/28328291/evaluation-of-multi-parameter-test-statistics-for-multiple-imputation
#1
Yu Liu, Craig K Enders
In Ordinary Least Square regression, researchers often are interested in knowing whether a set of parameters is different from zero. With complete data, this could be achieved using the gain in prediction test, hierarchical multiple regression, or an omnibus F test. However, in substantive research scenarios, missing data often exist. In the context of multiple imputation, one of the current state-of-art missing data strategies, there are several different analogous multi-parameter tests of the joint significance of a set of parameters, and these multi-parameter test statistics can be referenced to various distributions to make statistical inferences...
March 22, 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28328280/assessment-of-differential-rater-functioning-in-latent-classes-with-new-mixture-facets-models
#2
Kuan-Yu Jin, Wen-Chung Wang
Multifaceted data are very common in the human sciences. For example, test takers' responses to essay items are marked by raters. If multifaceted data are analyzed with standard facets models, it is assumed there is no interaction between facets. In reality, an interaction between facets can occur, referred to as differential facet functioning. A special case of differential facet functioning is the interaction between ratees and raters, referred to as differential rater functioning (DRF). In existing DRF studies, the group membership of ratees is known, such as gender or ethnicity...
March 22, 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28306347/bayesian-modal-estimation-of-the-four-parameter-item-response-model-in-real-realistic-and-idealized-data-sets
#3
Niels G Waller, Leah Feuerstahler
In this study, we explored item and person parameter recovery of the four-parameter model (4PM) in over 24,000 real, realistic, and idealized data sets. In the first analyses, we fit the 4PM and three alternative models to data from three Minnesota Multiphasic Personality Inventory-Adolescent form factor scales using Bayesian modal estimation (BME). Our results indicated that the 4PM fits these scales better than simpler item Response Theory (IRT) models. Next, using the parameter estimates from these real data analyses, we estimated 4PM item parameters in 6,000 realistic data sets to establish minimum sample size requirements for accurate item and person parameter recovery...
March 17, 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28281792/a-comparison-of-population-averaged-and-cluster-specific-approaches-in-the-context-of-unequal-probabilities-of-selection
#4
Natalie A Koziol, James A Bovaird, Sonia Suarez
Sampling designs of large-scale survey studies are typically complex, involving multiple design features such as clustering and unequal probabilities of selection. Single-level (i.e., population-averaged) methods that use adjusted variance estimators and multilevel (i.e., cluster-specific) methods provide two alternatives for modeling clustered data. Although the literature comparing these methods is vast, comparisons have been limited to the context in which all sampling units are selected with equal probabilities (thus circumventing the need for sampling weights)...
March 10, 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28266876/a-comparison-of-methods-for-creating-multiple-imputations-of-nominal-variables
#5
Kyle M Lang, Wei Wu
Many variables that are analyzed by social scientists are nominal in nature. When missing data occur on these variables, optimal recovery of the analysis model's parameters is a challenging endeavor. One of the most popular methods to deal with missing nominal data is multiple imputation (MI). This study evaluated the capabilities of five MI methods that can be used to treat incomplete nominal variables: multiple imputation with chained equations (MICE) using polytomous regression as the elementary imputation method; MICE based on classification and regression trees (CART); MICE based on nested logistic regressions; the ranking procedure described by Allison ( 2002 ); and a joint modeling approach based on the general location model...
March 7, 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28266872/addressing-the-replication-crisis-using-original-studies-to-design-replication-studies-with-appropriate-statistical-power
#6
Samantha F Anderson, Scott E Maxwell
Psychology is undergoing a replication crisis. The discussion surrounding this crisis has centered on mistrust of previous findings. Researchers planning replication studies often use the original study sample effect size as the basis for sample size planning. However, this strategy ignores uncertainty and publication bias in estimated effect sizes, resulting in overly optimistic calculations. A psychologist who intends to obtain power of .80 in the replication study, and performs calculations accordingly, may have an actual power lower than ...
March 7, 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28207288/equivalent-dynamic-models
#7
Peter C M Molenaar
Equivalences of two classes of dynamic models for weakly stationary multivariate time series are discussed: dynamic factor models and autoregressive models. It is shown that exploratory dynamic factor models can be rotated, yielding an infinite set of equivalent solutions for any observed series. It also is shown that dynamic factor models with lagged factor loadings are not equivalent to the currently popular state-space models, and that restriction of attention to the latter type of models may yield invalid results...
February 16, 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28207283/modeling-information-content-via-dirichlet-multinomial-regression-analysis
#8
Alberto Ferrari
Shannon entropy is being increasingly used in biomedical research as an index of complexity and information content in sequences of symbols, e.g. languages, amino acid sequences, DNA methylation patterns and animal vocalizations. Yet, distributional properties of information entropy as a random variable have seldom been the object of study, leading to researchers mainly using linear models or simulation-based analytical approach to assess differences in information content, when entropy is measured repeatedly in different experimental conditions...
February 16, 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28128999/heteroscedasticity-as-a-basis-of-direction-dependence-in-reversible-linear-regression-models
#9
Wolfgang Wiedermann, Richard Artner, Alexander von Eye
Heteroscedasticity is a well-known issue in linear regression modeling. When heteroscedasticity is observed, researchers are advised to remedy possible model misspecification of the explanatory part of the model (e.g., considering alternative functional forms and/or omitted variables). The present contribution discusses another source of heteroscedasticity in observational data: Directional model misspecifications in the case of nonnormal variables. Directional misspecification refers to situations where alternative models are equally likely to explain the data-generating process (e...
January 27, 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28156139/investigating-reliabilities-of-intraindividual-variability-indicators-with-autocorrelated-longitudinal-data
#10
Han Du, Lijuan Wang
No abstract text is available yet for this article.
January 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28121163/power-and-sample-size-calculations-for-contrast-analysis-in-ancova
#11
Gwowen Shieh
Analysis of covariance (ANCOVA) is commonly used in behavioral and educational research to reduce the error variance and improve the power of analysis of variance by adjusting the covariate effects. For planning and evaluating randomized ANCOVA designs, a simple sample-size formula has been proposed to account for the variance deflation factor in the comparison of two treatment groups. The objective of this article is to highlight an overlooked and potential problem of the exiting approximation and to provide an alternative and exact solution of power and sample size assessments for testing treatment contrasts...
January 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28098494/constant-and-variable-time-delays-of-synchrony-of-facial-expressions-in-dyadic-conversations
#12
M Joseph Meyer
No abstract text is available yet for this article.
January 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28098493/evaluating-the-use-of-the-automated-unified-structural-equation-model-for-daily-diary-data
#13
Stephanie T Lane, Kathleen M Gates
No abstract text is available yet for this article.
January 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28098490/three-attitudinal-item-characteristics-that-affect-survey-responses
#14
Elisabeth M Pyburn, Deborah L Bandalos
No abstract text is available yet for this article.
January 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28098489/a-gradient-boosting-machine-for-hierarchically-clustered-data
#15
Patrick J Miller, Daniel B McArtor, Gitta H Lubke
No abstract text is available yet for this article.
January 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28098487/evaluating-the-performance-of-cart-based-missing-data-methods-under-a-missing-not-at-random-mechanism
#16
Timothy Hayes, John J McArdle
No abstract text is available yet for this article.
January 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28098482/decomposing-the-causes-of-the-socioeconomic-status-health-gradient-with-biometrical-modeling
#17
S Mason Garrison, Joseph Lee Rodgers
No abstract text is available yet for this article.
January 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28098481/adapting-latent-profile-analysis-to-take-into-account-measurement-noninvariance
#18
Veronica T Cole
No abstract text is available yet for this article.
January 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28098480/regression-spline-mixed-models-for-testing-meaningful-landmarks-in-time-series-data
#19
Karen E Nielsen, Richard Gonzalez
No abstract text is available yet for this article.
January 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28059559/a-general-measure-of-effect-size-for-indirect-effects-in-mediation-analysis
#20
Mark J Lachowicz
No abstract text is available yet for this article.
January 2017: Multivariate Behavioral Research
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