NSSE staff are frequently asked to help interpret effect sizes. “Is .3 a small effect size?” “Is .5 a really large effect size?” An effect size (ES) is any measure of the strength of a relationship between two variables. In practice ES statistics are used to assess comparisons involving correlations, percentages, mean differences, probabilities, and so on. In cases where large sample sizes make...

BACKGROUND In the current literature, it is questionable whether cricket bats in their current form and dimensions allow a young cricketer to hit the ball effectively. The aim of this study was to test the effectiveness of a novel coaching cricket bat among junior cricket batsmen with regard to enhancing performance and the direction of the backlift. METHODS A cross-sectional research study w...

Single case designs are a set of research methods for evaluating treatment effects by assigning different treatments to the same individual and measuring outcomes over time and are used across fields such as behavior analysis, clinical psychology, special education, and medicine. Emerging standards for single case designs have focused attention on the need for effect sizes for summarizing and m...

Effect sizes are the most important outcome of empirical studies. Most articles on effect sizes highlight their importance to communicate the practical significance of results. For scientists themselves, effect sizes are most useful because they facilitate cumulative science. Effect sizes can be used to determine the sample size for follow-up studies, or examining effects across studies. This a...

NSSE staff are frequently asked to help interpret effect sizes. “Is .3 a small effect size?” “Is .5 a really large effect size?” An effect size (ES) is any measure of the strength of a relationship between two variables. In practice ES statistics are used to assess comparisons involving correlations, percentages, mean differences, probabilities, and so on. In cases where large sample sizes make...

an attempt was made to develop a method for sizing stable riprap around bridge piers based on a huge amount of experimental data, which is available in the literature. all available experimental data for circular as well as round-nose-and-tail rectangular piers were collected. the data for rectangular piers, with different aspect ratios, aligned with the flow or skewed at different angles to th...

In this article, the bending and free vibration analysis of functionally graded (FG) nanocomposites Timoshenko beam model reinforced by single-walled boron nitride nanotube (SWBNNT) using micro-mechanical approach embedded in an elastic medium is studied. The modified coupled stress (MCST) and nonlocal elasticity theories are developed to take into account the size-dependent effect. The mechani...

In this study, Back-propagation neural network (BPNN) and adaptive neuro-fuzzy inference system (ANFIS) methods were applied to estimate the particle size of silica prepared by sol-gel technique. Simulated annealing algorithm (SAA) employed to determine the optimum practical parameters of the silica production. Accordingly, the process parameters, i.e. tetraethyl orthosilicate (TEOS), H2O and N...

This paper reports the effect of the step-size (learning rate parameter) on the performance of the backpropgation algorithm. Backpropagation algorithm (BP) is used to train multilayer neural network. BP algorithm is the generalized form of the least mean square (LMS) algorithm. In this proposed backpropagation algorithm different learning rate parameter are used in different layer. The learning...

The microscopic effect of the exchange interaction parameter for the 2-Dimensional ising model with nearest neighbor interaction has been studied. By supposing simple temperature dependent relationship for the exchange parameter, graphs were straightforwardly obtained that show the reentrant closed looped phase diagrams symptomatic of some colloids and complex fluids and some binary liquids mix...