BACKGROUND Cognitive performance is a complex process influenced by multiple factors. Cognitive assessment in experimental animals is often based on longitudinal datasets analyzed using uni- and multi-variate analyses, that do not account for the temporal dimension of cognitive performance and also do not adequately quantify the relative contribution of individual factors onto the overall behav...

INTRODUCTION In the present study, we examined the influence of a home-based, DVD-delivered exercise intervention on daily sedentary time and breaks in sedentary time in older adults. METHODS Between 2010 and 2012, older adults (i.e., aged 65 or older) residing in Illinois (N = 307) were randomized into a 6-month home-based, DVD-delivered exercise program (i.e., FlexToBa; FTB) or a waitlist c...

In the study, effects of STEM activities applied to primary school fourth grade students on students' attitudes towards STEM, 21st century skills and mathematics achievement were analyzed. Sequential exploratory design was used in research, which carried out as a mixed method. quantitative part time series design, one semi-experimental designs, used. The study group consists 34 students. Quanti...

Missing data are a common problem in educational research. A promising technique, that can be implemented in SAS PROC MIXED and is therefore widely available, is to use maximum likelihood to estimate model parameters and base hypothesis tests on these estimates. However, it is not clear which test statistic in PROC MIXED performs better with missing data. The performance of the Hotelling-Lawley...

A class of models for mixed continuous and nominal data was proposed by Lauritzen and Wermuth. Log-linear models, linear regression and (M)ANOVA are special cases of these mixed graphical models. Their clear interpretation by means of independence graphs based on Markov properties makes them useful in applied multivariate statistics. Only few statistical software is developed yet for these mode...

We consider a possible scenario of experimental analysis on heuristics for optimization: identifying the contribution of local search components when algorithms are evaluated on the basis of solution quality attained. We discuss the experimental designs with special focus on the role of the test instances in the statistical analysis. Contrary to previous practice of modeling instances as a bloc...

Quality control relies heavily on the use of formal assessment metrics. In this paper, for the context of veterinary epidemiology, we review the main proposals, precision, repeatability, reproducibility, and intermediate precision, in agreement with ISO (International Organization for Standardization) practice, generalize these by placing them within the linear mixed model framework, which we t...

In highly proficient, early bilinguals, behavioural studies of the cost of switching language or task suggest qualitative differences between language control and domain-general cognitive control. By contrast, several neuroimaging studies have shown an overlap of the brain areas involved in language control and domain-general cognitive control. The current study measured both behavioural respon...

The objective of this study was utilized the head and eye-tracker system to examine the effects of visual field between sedan and mixed concrete truck on road sign recognition. Participants were asked to search the traffic signs on driving video and give a verbal report instantaneously for visual search. Results of ANOVA revealed that the mode of vertical direction of eye gaze were significant ...

The term “empirical predictor” refers to a two-stage predictor of a linear combination of fixed and random effects. In the first stage, a predictor is obtained but it involves unknown parameters; thus, in the second stage, the unknown parameters are replaced by their estimators. In this paper, we consider mean squared errors (MSE) of empirical predictors under a general setup, where ML or REML ...