Results 51 to 60 of about 171,871,292 (209)

Nonparametric MANOVA in meaningful effects [PDF]

, 2020
Multivariate analysis of variance (MANOVA) is a powerful and versatile method to infer and quantify main and interaction effects in metric multivariate multi-factor data.
Dobler, D.; id_orcid, Dobler, Dennis, Friedrich, Sarah, Pauly, Markus   +3 more
core   +1 more source

Effects of Age on Teachers’ Self-Efficacy: Evidence from Secondary Schools [PDF]

Athens Journal of Education
The study investigated the effects of age on self-efficacy among teachers in secondary schools in Kenya. The concurrent triangulation design was adopted.
Sylvester JO Odanga, Peter JO Aloka
doaj   +1 more source

Multivariate Analysis of Variance (MANOVA) untuk Memperkaya Hasil Penelitian Pendidikan

AKSIOMA : Jurnal Matematika dan Pendidikan Matematika, 2018
MANOVA merupakan solusi teknik analisis data kuantitatif bagi peneliti di dunia pendidikan yang ingin mengamati hasil belajar peserta didik dalam rangka menerapkan prinsip kebulatan dalam Kurikulum 2013 (prinsip evaluasi hasil belajar meliputi aspek kognitif, afektif, dan psikomotor).
Sutrisno Sutrisno, Dewi Wulandari
openaire   +2 more sources

Multivariate Analysis of Variance Under Multiplicity [PDF]

, 2007
This work studies the behavior of certain test criteria in multivariate analysis of variance (MANOVA), under the existence of multiplicity in the sample eigenvalues of the matrix S°1ESH ; where S His the matrix of sum of squares and sum of products due ...
JOSE ANTONIO DIAZ GARCIA
core  

Empirical power of univariate and multivariate techniques in case of small treatment effects (Cohen’s d equal to 0.2).

, 2020
The multivariate distribution from which the data were drawn as well as the variance ratio between simulated control and treatment groups are summarized in the title of each respective plot.
Susanne Gerber (508007), Emily Searle-White (8626620), Hristo Todorov (4638436)   +2 more
core   +1 more source

"Tests for Multivariate Analysis of Variance in High Dimension Under Non-Normality" [PDF]

In this article, we consider the problem of testing the equality of mean vectors of dimension ρ of several groups with a common unknown non-singular covariance matrix Σ, based on N independent observation vectors where N may be less than the dimension ρ.
Muni S. Srivastava, Tatsuya Kubokawa
core  

Empirical power of univariate and multivariate techniques in case of moderate treatment effects (Cohen’s d equal to 0.5).

, 2020
The multivariate distribution from which the data were drawn as well as the variance ratio between simulated control and treatment groups are summarized in the title of each respective plot.
Susanne Gerber (508007), Emily Searle-White (8626620), Hristo Todorov (4638436)   +2 more
core   +1 more source

Optimal Statistical techniques for the analysis of change in longitudinal studies. The particular use of Structural Modeling Equations, compared with general Multivariate Analysis of Variance ManoVa models

, 2003
We outline Optimal Statistical techniques for the analysis of change in longitudinal studies. The particular interest of Structural Modeling Equations, compared with general Multivariate Analysis of Variance ManoVa ...
Lehert, Philippe, Workshop on Multivariate Statistics in Health Economics   +1 more
core  

Multifactor analysis of variance (MANOVA) of the surface-based model.

, 2019
Multifactor analysis of variance (MANOVA) of the surface-based model.
Sadaki Takata (6940961), Zere Edlira (6940970), Ruriko Takano (6940964), Kenji Takada (180138), Chihiro Tanikawa (6940958), Haruna Yamanami (6940967)   +5 more
core   +1 more source

Empirical power of univariate and multivariate techniques in case of large treatment effects (Cohen’s d equal to 0.8).

, 2020
The multivariate distribution from which the data were drawn as well as the variance ratio between simulated control and treatment groups are summarized in the title of each respective plot.
Susanne Gerber (508007), Emily Searle-White (8626620), Hristo Todorov (4638436)   +2 more
core   +1 more source