结构方程论坛SEM-Structural·Equation·Modeling's Archiver

偏最小二乘 发表于 2011-7-2 10:16

台湾AMOS统计名师_张伟豪__结构方程模型进阶PPT档案

<strong> </strong><br /> <strong>結構方程模型進階</strong><br /> <strong></strong> <br /> <strong><!--<img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> </strong><strong>SEM</strong><strong>概念</strong><br /> <strong><img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> </strong><strong>SEM</strong><strong>參數估計原則</strong><br /> <strong><img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> </strong><strong>SEM</strong><strong>十誡</strong><br /> <strong><img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> </strong><strong>SEM</strong><strong>注意事項</strong><br /> <strong><img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> </strong><strong>結構模式與測量模式</strong><br /> <strong><img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> </strong><strong>分析資料的多元常態及例外值檢核</strong><br /> <strong><img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> </strong><strong>(Bollen- Stine </strong><strong>檢定)</strong><br /> <strong><img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> </strong><strong>Bootstrap</strong><strong>應用</strong><br /> <strong><img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> </strong><strong>共線性的判定</strong><br /> <strong><img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> </strong><strong>結構模式的二階段準則</strong><br /> <img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> <strong>參數的解讀</strong><br />  <br /> <strong><img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> </strong><strong>何謂信度與效度?</strong><br /> <strong><img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> </strong><strong>信、效度的種類</strong><br /> <strong><img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> </strong><strong>探索式因素分析vs.</strong><strong>驗證式因素分析</strong><br /> <strong><img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> </strong><strong>問卷信度評估</strong><br /> <strong><img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> </strong><strong>Cronbach</strong><strong>’s </strong><strong>α (</strong><strong>標準化與非標準化係數的區別)</strong><br /> <strong><img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> </strong><strong>組內相關係數 <br /> (Intraclass correlation coefficient, ICC)</strong><br /> <strong><img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> </strong><strong>組成信度 (Composite Reliability, CR)</strong><br /> <strong><img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> </strong><strong>平均變異數萃取量 (Average Variance Extracted, AVE)</strong><br /> <strong><img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> </strong><strong>問卷效度評估</strong><br /> <strong><img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> </strong><strong>收斂 (convergence)</strong><strong>效度、區別 (discriminant)</strong><strong>效度</strong><br /> <img src:///C:/Users/user/AppData/Local/Temp/msohtml1/01/clip_image001.gif" border="0" alt="" /><br /> <strong>交叉效度 (cross validity)</strong><br /> <strong><br /> </strong> <br /> <strong>                                        &nbsp;</p>

dataanlysis 发表于 2011-7-2 10:21

已下载,谢谢楼主。

spsschina 发表于 2011-7-2 10:26

根本算不上什么高级的东西 唉 我的论坛币啊

pabbs 发表于 2011-7-2 10:31

<blockquote>zhanghuawei3 发表于 2010-1-16 21:08 <img src="http://bbs.pinggu.org/images/common/back.gif" "thumbImg(this)" alt="" /><br /> 根本算不上什么高级的东西 唉 我的论坛币啊</blockquote>1.很抱歉,这个SEM-AMOS档案无法符合您的水平,造成您的损失。<br />  <br /> 2. 根据您发帖的时间为发表于 2010-1-16 21:08 。所以,我查了一下本附件档案下载的记录,在<strong>2010-1-16 13:52</strong><strong>~~</strong><strong>2010-1-17 12:26</strong>之间好像没有『zhanghuawei3 小学生』的购买记录。<br />  <br /> 3.不过,大大当然有可能乃是使用别的user ID 来购买下载。<br />  <br /> 4.最重要的是,个人的学习程度有所高低深浅。我也很佩服&nbsp;&nbsp;大大的功力,希望有机会请教&nbsp;&nbsp;大大的深厚AMOS功力!

dataanlysis 发表于 2011-7-2 10:36

感谢楼主,楼主是一个大好人。

amos 发表于 2011-7-2 10:41

<img src="http://bbs.pinggu.org/images/smilies/default/em02.gif" smilieid="136" border="0" alt="" />正想要呢,及时雨

因子分析 发表于 2011-7-2 10:46

想买,没有钱.....

结构方程爱好者 发表于 2011-7-2 10:51

赞lz!<br /> 先下下来看看,

心理学辅导 发表于 2011-7-2 10:57

要看看,没有学习过amos,即使是初级的对我来说也是高级的了,呵呵!

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