scispace - formally typeset
Open Access

Longitudinal Data Analysis Using Multilevel Linear Modeling (MLM): Fitting an Optimal Variance-Covariance Structure

Reads0
Chats0
About
The article was published on 2011-10-21 and is currently open access. It has received 3 citations till now. The article focuses on the topics: Covariance & Linear model.

read more

Citations
More filters

Generalization Programming and the Instructional Hierarchy: A Performance Feedback Intervention in Writing

TL;DR: There was mixed support for the hypotheses, as students in the performance feedback condition demonstrated statistically significant greater writing fluency growth in comparison to both the practice-only and generalization programming conditions.
Posted ContentDOI

Strengthening capacity building in data analysis in West African Universities and research institutions: A three-year experience of the Master Programme in Biostatistics at the University of Abomey-Calavi, Benin

TL;DR: The first batch of students in this master programme (24-29 February, 2016) targeted some modern statistical and mathematical methods including linear and non-linear mixed effects models, matrix projection models, ordination methods, generalized linear models, survival analyses and efficiency analyses with applications in biology as mentioned in this paper.
References
More filters
Book

Statistical Power Analysis for the Behavioral Sciences

TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
Journal ArticleDOI

Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives

TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
Journal ArticleDOI

A new look at the statistical model identification

TL;DR: In this article, a new estimate minimum information theoretical criterion estimate (MAICE) is introduced for the purpose of statistical identification, which is free from the ambiguities inherent in the application of conventional hypothesis testing procedure.
Journal ArticleDOI

Estimating the Dimension of a Model

TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.

Estimating the dimension of a model

TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Related Papers (5)