Simple Effects, Simple Contrasts, and Main Effect Contrasts简单的效果,简单的对比,以及主要的效果对比论文 总结 英语 资料 ppt 文档 免费阅读 免费分享,如需请下载! 文档格式: .doc 文档大小: 38.0K 文档页数: 2页 顶/踩数: 0/0 收藏人数: 0
内容提示: Newsom 1 USP 634 Data Analysis I Spring 2013 Simple Effects, Simple Contrasts, and Main Effect Contrasts Simple Effects Following a significant interaction, follow-up tests are usually needed to explore the exact nature of the interaction. Simple effects (sometimes called simple main ...
After a brief overview of mediation, we argue the importance of directly testing the significance of indirect effects and provide SPSS and SAS macros that facilitate estimation of the indirect effect with a normal theory approach and a bootstrap approach to obtaining confidence intervals, as well ...
And, indeed, in the absence of an interaction effect, we recommend reporting the main effects (if any). Keep in mind here that small p-values are often not really interesting: they simply say it's highly unlikely that your population effects are zero. Well, if they are not zero, then ...
From the Publisher:This book is designed to simplify the process of data analysis using SPSS. The clarity of this book is established by extensive use of screen shots (more than 200), clear writing, and step-by-step boxes (more than 500) that show how to accomplish any procedure one step...
The main stated advantage at that time was that the “PLS approach is easy and speedy on the computer” (Wold, 1982, p. 29), but this came with the trade-off that PLS produces incorrect estimates of model parameters: “LISREL gives consistent estimates of the structural parameters, whereas...
the importance of directly testing the significance of indirect effects and provide SPSS and SAS macros that facilitate estimation of the indirect effect with a normal theory approach and a bootstrap approach to obtaining confidence intervals, as well as the traditional approach advocated by Baron and...
Statistical analysis was performed using IBM SPSS Statistics ver. 24.0 (IBM Co., Armonk, NY, USA) and R ver. 3.1.0 (R Foundation for Statistical Computing, Vienna, Austria; www.r-project.org). The results were considered statistically significant if the p-value was less than 0.05. Ethics...
(2,132) = 2.03,p = 0.14, ηp2 = 0.03) were reliable. Across participants, the averagerelative multisensory memory gainwas 1.40%, SD = 13.0%, range −30% to 45%. The ANCOVA using RTs as the dependent measure did not yield a reliable main effect of Condition (F(...
The main purpose of this study was to screen for sarcopenia, and we focused on the sensitivity, negative screening of the predictive value and the AUC. According to previous studies, the AUC is greater than 0.8, which has good predictive value considering the model (21). In both males and...