This research aims to study the effect of adventure-based learning on students’ basic statistics achievement, critical thinking, and leadership skills. The quasi-experimental method was used in this through quantitative design. sample consisted 30 year 1 students one Teacher Education Institutes. institute itself determined group students. They are context an intact group. data were analyzed in...

Reviews of statistical procedures (e.g., Bangert & Baumberger, 2005; Kieffer, Reese, & Thompson, 2001; Warne, Lazo, Ramos, & Ritter, 2012) show that one of the most common multivariate statistical methods in psychological research is multivariate analysis of variance (MANOVA). However, MANOVA and its associated procedures are often not properly understood, as demonstrated by the fact that few o...

The misclassification error which is usually used in tests to compare classification algorithms, does not make a distinction between the sources of error, namely, false positives and false negatives. Instead of summing these in a single number, we propose to collect multivariate statistics and use multivariate tests on them. Information retrieval uses the measures of precision and recall, and s...

BACKGROUND Low back pain is one of the most frequent work related injuries in all occupations. Back school programs are therapeutic interventions directed towards treatment, prevention and rehabilitation of backaches. The purpose of this study was to (1) evaluate the test-retest reliability of the modified version of the Body Mechanics Evaluation Checklist (BMEC) and (2) examine the effectivene...

We consider random n× n matrices of the form (XX∗ + Y Y ∗)− 1 2 Y Y ∗ (XX∗ + Y Y ∗)− 1 2 , where X and Y have independent entries with zero mean and variance one. These matrices are the natural generalization of the Gaussian case, which are known as MANOVA matrices and which have joint eigenvalue density given by the third classical ensemble, the Jacobi ensemble. We show that, away from the spe...

A graphical representation of the multivariate analysis of variance (MANOVA) is proposed. This representation, termed a "MANOVAMAP," shows the magnitude of MANOVA model effects and their statistical significance in an easily interpreted statistical graphic. The use and construction of MANOVAMAPs is discussed for an empirical example, and is compared with both a traditional MANOVA analysis of th...

There has been debate regarding which method to use to analyze repeated measures continuous data when the design includes only two measurement times. Five different techniques can be applied and give similar results when there is little to no correlation between preand post-test measurements and when data at each time point are complete: 1) analysis of variance on the difference between preand ...

This article concerns the power of various data analytic strategies to detect the effect of a single genetic variant (GV) in multivariate data. We simulated exactly fitting monozygotic and dizygotic phenotypic data according to single and two common factor models, and simplex models. We calculated the power to detect the GV in twin 1 data in an ANOVA of phenotypic sum scores, in a MANOVA, and i...

Every student must acquire mathematical problem-solving skills and self-efficacy to assist them in the learning process solve different problems. This study seeks explore impact of implementing “the Missouri Mathematics Project (MMP) model with Everyone is a Teacher Here (ETH) strategy on learners”. employs quasi-experimental design 2×2 factorial research scheme. In this research, tests questio...