single subject experimental researcheffect sizePNDIRDPEM‐TTau‐USingle-subject experimental research (SSER), one of the most commonly used research methods in special education and applied behaviour analysis, is a scientific, rigorous and valid method to evaluate the effectiveness of behavioural, ...
Effect sizes make the results of different studies comparable, even though there may be differences in the ways the studies collect or analyze data. The appropriate effect size depends on the design of the studies and the nature of the outcome variable. In experimental studies that contrast ...
Experimental results of size effect on the strength of concrete are presented.Within the size range tested in this study, there are size effects on experimental testing results of strength for all kinds of concretes. However, there exists certain difference in size effects on the strength fordiffer...
The reported experimental results and the modeling methodology thus provide an in-depth understanding of the size effect in microscale plastic deformation. 展开 关键词: Microscale deformation behavior Size effect Micro upsetting Strengthening behavior ...
Presents the use of the effect size as a descriptive statistic for single-subject research. Visual and statistical analysis techniques used in single-subje... Kromrey,Jeffrey,D.,... - 《Journal of Experimental Education》 被引量: 151发表: 1996年 A Meta-Analysis of Single-Subject--Design Inter...
Using Effect Sizes for Research Reporting The psychological literature currently emphasizes reporting the "effect size" of research findings in addition to the outcome of any tests of significance. However, some confusion may result from the fact that there are three distinct us... L Steinberg,D ...
The influence of the time intervals between sessions was assessed with the data in Studies 9 and 10. All other analyses of the effect sizes and test-retest reliabilities were assessed with the data in Studies 1 to 8 (i.e., the single-trial dataset). (C) Four types of NPS effect size...
to make the decision to confirm that an independent variable or treatment did or did not have an important effect, statistics is used. In quantitative research methodology, there are two ways of quantifying this effect: (1) Null Hypothesis Significance Testing and (2) Effect Size (ES), as we...
that do not report effect size. This has become one of the invariant data when reporting research that involves comparison tests between groups and associations. For this reason, Comunicar demands this measure in its articles of this cut, for example, in one of the last issues it was ...
Choosing the Best Correction Formula for the Pearson r 2Effect Size In the present Monte Carlo simulation study, the authors compared bias and precision of 7 sampling error corrections to the Pearson r 2 under 6 × 3 × 6 c... ST Skidmore,B Thompson - 《Journal of Experimental Education》...