SPSS+统计分析+SEM，想加强量化科研能力的你有福了
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="https://mmbiz.qpic.cn/mmbiz_gif/R4eyUVOoibv239bCXK3Xr400rOhAP98xwuyQMxjaJxRNbz7HyV36SEjibfGJd5RTNyU3rm6Wcbz8ufjCnUwtbqDA/640?tp=webp&wxfrom=5&wx_lazy=1" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">文 | 老踏</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="https://mmbiz.qpic.cn/mmbiz_png/R4eyUVOoibv239bCXK3Xr400rOhAP98xwKU5SdlXCr7CSQPuXZjj1BdRKFGribqib7IH3BBn1h7zibqOmuOupUr3bw/640?tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;"></p>壹<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">咱们</span><span style="color: black;">晓得</span>，定量<span style="color: black;">科研</span>（Quantitative research）是与定性<span style="color: black;">科研</span>（Qualitative research）相对的概念，<span style="color: black;">亦</span><span style="color: black;">叫作</span>量化<span style="color: black;">科研</span>，是社会科学<span style="color: black;">行业</span>的一种基本<span style="color: black;">科研</span>范式，<span style="color: black;">亦</span>是科学<span style="color: black;">科研</span>的重要<span style="color: black;">过程</span>和<span style="color: black;">办法</span>之一。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">以我的观察，<strong style="color: blue;">国内社科<span style="color: black;">行业</span>的量化<span style="color: black;">科研</span>，正在崛起。</strong></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">例如</span>说，我在中国知网进行期刊论文篇名检索，以“量化<span style="color: black;">科研</span>”<span style="color: black;">做为</span>关键词，<span style="color: black;">发布</span>文献成果数量的趋势图如下图所示。你瞧，随着时间的推移，有越来越多的论文采用了量化<span style="color: black;">科研</span><span style="color: black;">办法</span>，并且把“量化<span style="color: black;">科研</span>”的四个字直接就写在了论文的篇名中——这<span style="color: black;">寓意</span>着，量化<span style="color: black;">科研</span><span style="color: black;">已然</span><span style="color: black;">作为</span>这些论文的重要学术增量而存在，带着妥妥地傲娇感。</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="https://mmbiz.qpic.cn/mmbiz_jpg/R4eyUVOoibv239bCXK3Xr400rOhAP98xwse1mUZictianJKDdLjKVjL58T1ptIibvxZ3Vfa6HaX9asGOM7W87BUlug/640?tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">例如</span>说，我读博士之后<span style="color: black;">发布</span>的<span style="color: black;">第1</span>篇CSSCI期刊论文，<span style="color: black;">便是</span>运用了量化<span style="color: black;">科研</span>的<span style="color: black;">办法</span>。论文的题目如下图所示，是<span style="color: black;">这般</span>滴滴滴——其实回过头看，我的这篇论文写得非常粗糙，从样本<span style="color: black;">选择</span>到统计数据分析，各个环节，基本都停留在侮辱量化<span style="color: black;">科研</span><span style="color: black;">办法</span>的层面……汗。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="https://mmbiz.qpic.cn/mmbiz_jpg/R4eyUVOoibv239bCXK3Xr400rOhAP98xw0hg5y7xials5nNOBguUtcNT2Aspmx6D6wSJHwEQnsIObQ6Gf61NGbSA/640?tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">而后</span>我又继续检索啊，手贱啊，<span style="color: black;">而后</span>点击“计量可视化分析”（你瞧，中国知网的检索文献数据分析<span style="color: black;">行业</span>，<span style="color: black;">亦</span>是妥妥的量化<span style="color: black;">科研</span>的阵地呢）。不点不<span style="color: black;">晓得</span>，艾艾艾艾艾玛，原来量化<span style="color: black;">科研</span>所渗透的<span style="color: black;">科研</span><span style="color: black;">行业</span><span style="color: black;">已然</span>如此广泛了——</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="https://mmbiz.qpic.cn/mmbiz_jpg/R4eyUVOoibv239bCXK3Xr400rOhAP98xwD3V1dxVXqicc0IqIDhdZvibNp4UCOLPibcRFDLNCJ6cIr5tfD8rvkxiaWg/640?tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">因此</span>，让我重复一下刚才的观点：国内社科<span style="color: black;">行业</span>的量化<span style="color: black;">科研</span>，正在崛起。其实，这一趋势<span style="color: black;">亦</span>在提醒着<span style="color: black;">咱们</span>：<strong style="color: blue;">混迹国内社<span style="color: black;">研究</span>究<span style="color: black;">行业</span>，<span style="color: black;">无</span>点量化的思维方式和<span style="color: black;">科研</span><span style="color: black;">办法</span>作支撑，还真的有点<span style="color: black;">欠好</span>意思了。</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">以我为例，<span style="color: black;">倘若</span>不是有上面<span style="color: black;">说到</span>的那篇狗血论文<span style="color: black;">做为</span>支撑，我都<span style="color: black;">欠好</span>意思说自己还是个社科<span style="color: black;">研究</span>工作者的，讨厌。<span style="color: black;">同期</span>，我<span style="color: black;">亦</span>有深深的焦虑：<span style="color: black;">倘若</span>我的量化<span style="color: black;">科研</span>思维方式和<span style="color: black;">科研</span><span style="color: black;">办法</span>就只停留在当年那篇论文所呈现的水准，<strong style="color: blue;"><span style="color: black;">倘若</span>我再不去<span style="color: black;">提高</span>一下自己的量化<span style="color: black;">科研</span>能力，迟早会被碾压、被鄙视、被抛弃。</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">下面，请<span style="color: black;">准许</span>我非常不厚道地做一个剧透：我的<span style="color: black;">第1</span>篇SSCI期刊论文，铛铛铛铛，已~经~被~录~用。<span style="color: black;">文案</span>运用了模糊综合<span style="color: black;">评估</span>模型的<span style="color: black;">办法</span>——显然，这是个比较典型的量化<span style="color: black;">科研</span>。</span></p>贰<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">是的，就像你已感受到的那样，我<span style="color: black;">认识</span>到了量化<span style="color: black;">科研</span>的重要性，并且在过去差不多一年的时间里面，为着<span style="color: black;">提高</span>自己的量化<span style="color: black;">科研</span>能力而<span style="color: black;">奋斗</span>着。在这个过程之中，我有幸遇到了一个强大的知识服务<span style="color: black;">公司</span>，那<span style="color: black;">便是</span><strong style="color: blue;"><span style="color: black;">张伟豪老师带队的量化<span style="color: black;">科研</span>课程<span style="color: black;">研发</span>与技能<span style="color: black;">提高</span>团队。</span></strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">下面，我要把这个团队的核心成员及其<span style="color: black;">研发</span>的三门量化<span style="color: black;">科研</span><span style="color: black;">基本</span>课程介绍给<span style="color: black;">大众</span>——是的，我是这三位老师的学生，<span style="color: black;">亦</span>是<span style="color: black;">她们</span><span style="color: black;">研发</span>课程的众多受益者之一，正<span style="color: black;">由于</span>如此，我在面对这三位老师的时候，永远是心存感激的。</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;"><span style="color: black;">张伟豪</span></strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="https://mmbiz.qpic.cn/mmbiz_png/R4eyUVOoibv239bCXK3Xr400rOhAP98xwp8mA6qCMGFsdZ56Vr4v8Z0HmibYBlj42ENQwvxr6qLQGWzcoqbaesAg/640?tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">张老师曾担任<span style="color: black;">数年</span>的IBM SPSS统计软件首席资深顾问，北京巨<span style="color: black;">海量</span>化科技有限<span style="color: black;">机构</span>创办人兼董事，<span style="color: black;">同期</span><span style="color: black;">也</span>为三星统计服务有限<span style="color: black;">机构</span>执行长。<span style="color: black;">善于</span><span style="color: black;">各样</span>统计分析<span style="color: black;">办法</span>，尤以结构方程模型（SEM, Structural Equation Modeling）为最，<span style="color: black;">同期</span><span style="color: black;">亦</span>是全亚洲最会教授统计学的讲师，人<span style="color: black;">叫作</span>「统计亚洲一哥」「统计黑杰克」，专门<span style="color: black;">处理</span>统计疑难杂症。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">张老师已在台湾累积超过100所学校的邀约演讲经验，<span style="color: black;">包含</span>台湾大学、政治大学、台北大学、阳明大学、交通大学、中央大学、中兴大学、中国医药大学、中山医学大学、中正大学、嘉义大学、成功大学、中山大学、高雄师范大学、高雄医学大学等，各大学均有张董事长的演讲与教育训练足迹。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">同期</span>，张老师<span style="color: black;">也</span>将学术演讲的版图拓展到大陆，<span style="color: black;">包含</span>北京师范大学、北京航空航天大学、人民大学、河北大学、同济大学、西安建大、西安邮电、西安石油大学、宁波大学与天津大学等知名校院都竞相邀约。除了统计<span style="color: black;">教育</span>与培训之外，张老师<span style="color: black;">亦</span>积极辅导个案统计问题，<span style="color: black;">日前</span>已有千名以上的个案受惠，遍及两岸三地，实战经验丰富。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="https://mmbiz.qpic.cn/mmbiz_jpg/R4eyUVOoibv239bCXK3Xr400rOhAP98xwvbuJFSE09xmYdxKGYJksCyYHLvEUDqA3y3icJomm1IEqKJaDXU1fAWA/640?tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;"><span style="color: black;">徐茂洲</span></strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">最高学历: </strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">Ph.D. in Organizational Leadership, University of Incarnate Word (U.S.A)</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">任职<span style="color: black;">公司</span>：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">大仁科技大学休闲事业管理<span style="color: black;">科研</span>所教授</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">台湾巨大数据<span style="color: black;">机构</span>统计云学院院长</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">体育运动与Amos统计应用期刊 主编 (ISSN 2304-8212)</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">运动与观光<span style="color: black;">科研</span> 副主编(ISSN 2304-8921)</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">专业证照：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">IBM Certified Specialist - SPSS Statistics Level 1v2</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">外审期刊：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">Psychology and Behavioral Sciences</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">Asia-Pacific Journal of Humanities and Social Sciences</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">运动<span style="color: black;">科研</span>（国科会第二级期刊）</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">运动教练科学（国科会第二级期刊）</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">嘉大体育健康休闲期刊 （科技部B级期刊）</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">国立台中教育大学学报（国科会第三级期刊）</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">屏东大学第三期体育期刊（国科会第三级期刊）</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">演讲学校：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">高雄师范大学工业科技教育所（博士班）－SEM</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">云林科技大学休闲运动<span style="color: black;">科研</span>所－SEM</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">屏东大学 原住民专班－休闲营销</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">勤益科技大学 休闲事业管理系 － SEM</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">武夷学院旅游学院－SPSS and Amos</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">学术中国论文拆解第七期－结构方程模型论文拆解：问题及思路</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;"><span style="color: black;">研究</span>成果：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">期刊论文102篇（含CSSCI，SCI，EI，TSSCI等12篇），研讨会25篇，学术专著3部。<span style="color: black;">指点</span>硕士生毕业40人。论文被引用444次。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;"><span style="color: black;">郑时宜</span></strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">台湾中山大学公共事务管理<span style="color: black;">科研</span>所博士，现职为台湾巨大数据科技股份有限<span style="color: black;">机构</span>总经理。郑老师曾于大学任教22年，并担任校级一级主管逾20年，多次荣获<span style="color: black;">教育</span>杰出奖，其<span style="color: black;">教育</span>以生动活泼、深入浅出、化繁为简见长。<span style="color: black;">发布</span>论文超过30篇（含2篇SSCI论文），12项<span style="color: black;">百姓</span>营<span style="color: black;">公司</span>产学合作计划主持人，出版学术专著1部。曾荣获管理科学学会青年管理奖章。</span></span></p>叁<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">下面让<span style="color: black;">咱们</span><span style="color: black;">认识</span>一下课程信息：</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;">课程之一</span></strong></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;"><span style="color: black;">《SPSS量化分析的12堂统计魔法课》</span></strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">主讲人：张伟豪</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">课程<span style="color: black;">目的</span>：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">带领统计小白能快速的进入统计分析的世界，快速<span style="color: black;">认识</span>并做出正确的判断，应用适当的统计分法，明白分析结果的<span style="color: black;">诠释</span>，<span style="color: black;">提高</span>量化<span style="color: black;">文案</span>的分析质量，最后<span style="color: black;">目的</span>是能在论文分析中，自由的应用<span style="color: black;">各样</span>统计<span style="color: black;">办法</span>，<span style="color: black;">从而</span><span style="color: black;">作为</span>统计的主人。</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">课程简介：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">本课程内容为了让学员能快速的进入统计分析的世界，每一单元均进行系统性的设计，每一个统计<span style="color: black;">办法</span>均<span style="color: black;">包括</span>四大部份进行：统计<span style="color: black;">办法</span>应用的情境、应用SPSS操作统计分析、<span style="color: black;">怎样</span>快速制作统计报表、正确<span style="color: black;">诠释</span>统计报表。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">课程大纲：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">第1</span>讲 玩转统计学</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第二讲 频率与描述统计（含极端值检测）</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第三讲 交叉表分析</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第四讲 复选题分析</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第五讲 探索式<span style="color: black;">原因</span>分析</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第六讲 验证式<span style="color: black;">原因</span>分析</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第七讲 信度（Cronbach’s α）分析</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第八讲 项目打包（Item parcel）</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第九讲 皮尔森<span style="color: black;">关联</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第十讲 回归与路径分析</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第十一讲 独立与配对样本T检验</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第十二讲 方差分析（ANOVA）</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">课程<span style="color: black;">特殊</span>：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">以生活化的例子代入统计分析中，让学员在不知不觉中<span style="color: black;">认识</span>统计<span style="color: black;">办法</span>的应用，降低入门<span style="color: black;">阻碍</span>，<span style="color: black;">提高</span>学习兴趣。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">订阅方式：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">长按或扫描下图中的二维码，<strong style="color: blue;"><span style="color: black;">浏览学习视频试听课。</span></strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="https://mmbiz.qpic.cn/mmbiz_jpg/R4eyUVOoibv239bCXK3Xr400rOhAP98xwnJ1zcyQE85UqX4oPsO3ozraFFlTTTgiajFscBAKmdr3sWBRicoXiboVoA/640?tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">↑ ↑ ↑</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">长按＆扫描</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">海报中的二维码</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">一次订阅★永久回放★随到随学</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><strong style="color: blue;">课程之二</strong></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;"><span style="color: black;">《SEM分析精品进阶12讲》</span></strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">主讲人：徐茂洲</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">课程<span style="color: black;">目的</span>：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">认识</span>结构方程模型统计<span style="color: black;">办法</span>的发展，</span><span style="color: black;">认识SEM统计<span style="color: black;">办法</span>的优点，</span><span style="color: black;">认识Amos统计软件的优点，</span><span style="color: black;"><span style="color: black;">认识</span>SEM分析的范围，</span><span style="color: black;"><span style="color: black;">认识</span>SEM的专有名词，</span><span style="color: black;"><span style="color: black;">认识</span>SEM符号的定义，</span><span style="color: black;">学习Amos软件操作，</span><span style="color: black;">学习判断cfa优劣要删要留<span style="color: black;">按照</span><span style="color: black;">意见</span>或指标，</span><span style="color: black;">认识<span style="color: black;">构成</span>信度、AVE(计算<span style="color: black;">构成</span>信度与AVE)，</span><span style="color: black;">认识区别效度(计算区别效度)，</span><span style="color: black;"><span style="color: black;">认识</span>假设显着性报告与R2的解释(标准化/非标准化的<span style="color: black;">道理</span>与解释)，以及</span><span style="color: black;">认识<span style="color: black;">中间商</span>效果。</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">课程简介：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">结构方程模型分析所用的分析<span style="color: black;">办法</span>、操作过程与<span style="color: black;">背面</span>支持的理论。<span style="color: black;">因为</span>SEM是很硬的统计学，<span style="color: black;">叫作</span>它为“硬”是<span style="color: black;">由于</span>SEM分析必須符合許多的统计假设，如多元常态、单一构面原则(收敛效度及区別效度)、大样本及外生潜在变数不<span style="color: black;">能够</span>共线等。一旦违反了这些原则，轻则模型配适度<span style="color: black;">不良</span>，重则模型实务上<span style="color: black;">没法</span>辨识，<span style="color: black;">因此</span>SEM统计假设的检定丝毫<span style="color: black;">不可</span>马虎。为了让结构方程模型分析能夠更顺利的被完成，分析过程必须严谨且循序渐进，徐老师<span style="color: black;">按照</span><span style="color: black;">数年</span>的数据分析及<span style="color: black;">教育</span>经验，介绍SEM分析十二讲，只要按步就班，再<span style="color: black;">按照</span>课程的说明，必定<span style="color: black;">能够</span>快速、顺利地完成论文的写作。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">课程大纲：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">第1</span>讲 认识SEM模型</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第二讲 SEM的专有名词</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第三讲 SEM分析流程</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"> <span style="color: black;">测绘</span>模型(CFA/FL /SMC 、CR、AVE/区别效度)</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"> 结构模型(模型拟合度/假设检定/R2)</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第四讲 SEM软件介绍(AMOS) </span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"> 绘制结构模型=>执行分析=>模型拟合度=>假设检定报告</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第五讲 SEM美观<span style="color: black;">调节</span>(AMOS图形<span style="color: black;">调节</span>)</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第六讲 一阶CFA</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">检测</span>factor loading</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"> 修正指标</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"> <span style="color: black;">怎样</span>判断cfa优劣要删要留<span style="color: black;">按照</span><span style="color: black;">意见</span>或指标</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第七讲 <span style="color: black;">构成</span>信度、AVE(计算<span style="color: black;">构成</span>信度与AVE)</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第八讲 区别效度(计算区别效度)</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第九讲 SEM分析(绘制完整SEM)</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第十讲 模型拟合度</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"> 报告模型拟合度指标</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"> 需报告的指标</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"> 跑出来的指标</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"> <span style="color: black;">意见</span>的标准</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第十一讲 假设<span style="color: black;">明显</span>性报告与R2的解释(标准化/非标准化的<span style="color: black;">道理</span>与解释)</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第十二讲 <span style="color: black;">中间商</span>效果</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"> 何谓<span style="color: black;">中间商</span>效果</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"> 总效果间接效果直接效果</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"> <span style="color: black;">中间商</span>的例子</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"> 实务上的内涵</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">课程<span style="color: black;">特殊</span>：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">徐老师深入讲解结构方程模型<span style="color: black;">办法</span><span style="color: black;">怎样</span>应用，举例深入浅出，全程<span style="color: black;">无</span>抽象难懂的数学式，并指出新手容易<span style="color: black;">显现</span><span style="color: black;">那些</span>问题，应该<span style="color: black;">怎样</span>改进。讲解重要SEM概念和<span style="color: black;">办法</span>，进行Amos统计软件操作<span style="color: black;">教育</span>。从理论假设到<span style="color: black;">实质</span>操作，带您全程观摩并<span style="color: black;">实质</span>演练。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">订阅方式：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">长按或扫描下图中的二维码，<strong style="color: blue;"><span style="color: black;">浏览学习视频试听课。</span></strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="data:image/svg+xml,%3C%3Fxml version=1.0 encoding=UTF-8%3F%3E%3Csvg width=1px height=1px viewBox=0 0 1 1 version=1.1 xmlns=http://www.w3.org/2000/svg xmlns:xlink=http://www.w3.org/1999/xlink%3E%3Ctitle%3E%3C/title%3E%3Cg stroke=none stroke-width=1 fill=none fill-rule=evenodd fill-opacity=0%3E%3Cg transform=translate(-249.000000, -126.000000) fill=%23FFFFFF%3E%3Crect x=249 y=126 width=1 height=1%3E%3C/rect%3E%3C/g%3E%3C/g%3E%3C/svg%3E" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">↑ ↑ ↑</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">长按＆扫描</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">海报中的二维码</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">一次订阅★永久回放★随到随学</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><strong style="color: blue;">课程之三</strong></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><strong style="color: blue;">《统计概念<span style="color: black;">基本</span>认知12讲》</strong></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">主讲人：郑时宜</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">课程<span style="color: black;">目的</span>：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">本课程为量化<span style="color: black;">科研</span>的<span style="color: black;">基本</span>课程，适合对量化<span style="color: black;">科研</span>零<span style="color: black;">基本</span>的学员。本课程的<span style="color: black;">目的</span>有以下几点：让学员<span style="color: black;">认识</span>统计<span style="color: black;">能够</span>运用在<span style="color: black;">哪些</span><span style="color: black;">地区</span>；<span style="color: black;">认识</span>统计数据的<span style="color: black;">源自</span>有<span style="color: black;">那些</span>；学习到<span style="color: black;">为么</span>要抽样以及<span style="color: black;">怎样</span>抽样的<span style="color: black;">办法</span>；能够辨别<span style="color: black;">各样</span>变量的角色与尺度；<span style="color: black;">认识</span><span style="color: black;">怎样</span>运用这些变量来进行<span style="color: black;">科研</span>；<span style="color: black;">认识</span><span style="color: black;">怎样</span>做<span style="color: black;">科研</span>假设；<span style="color: black;">认识</span><span style="color: black;">各样</span>基本的统计<span style="color: black;">办法</span>；让学员<span style="color: black;">再也不</span>害怕统计。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">课程简介：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">带领有心一窥量化<span style="color: black;">科研</span>的学习者，能克服对统计的<span style="color: black;">阻碍</span>，<span style="color: black;">从而</span>对统计产生兴趣。本课程能为学员开启量化<span style="color: black;">科研</span>的<span style="color: black;">前门</span>，得以进入其他课程进行深度的学习。课程<span style="color: black;">包括</span>四大部分：<span style="color: black;">第1</span>部分着重在数据的取得，例如<span style="color: black;">怎样</span>抽样；第二部分将数据转化为变量，并进行描述性统计，例如均值与离散程度；第三部分为利用<span style="color: black;">科研</span>假设来进行推论统计，例如检定与估计；第四部分为<span style="color: black;">各样</span>统计<span style="color: black;">办法</span>的介绍以及运用<span style="color: black;">机会</span>，例如t检定、方差分析、<span style="color: black;">关联</span>分析、回归分析等等。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">课程大纲：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">第1</span>讲 统计是什么</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第二讲 统计的数据怎么来</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第三讲 怎么抽样</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第四讲 变量的角色</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第五讲 变量的尺度</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第六讲 均值与离散程度</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第七讲 统计估计</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第八讲 <span style="color: black;">科研</span>假设</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第九讲 假设检定</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第十讲 统计分析之图形法</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第十一讲 统计分析之描述性统计</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">第十二讲 统计分析之推论统计</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">课程<span style="color: black;">特殊</span>：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">本课程专门针对量化<span style="color: black;">科研</span>的小白精心设置，</span><span style="color: black;">讲次编排由浅入深、结构性强；</span><span style="color: black;">每堂课程的内容设计，均利用生活案例解释统计难懂的概念，方便理解；</span><span style="color: black;">讲师表达生动活泼，<span style="color: black;">诱发</span>学员学习动机。</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">订阅方式：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">长按或扫描下图中的二维码，<strong style="color: blue;"><span style="color: black;">浏览学习视频试听课。</span></strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="data:image/svg+xml,%3C%3Fxml version=1.0 encoding=UTF-8%3F%3E%3Csvg width=1px height=1px viewBox=0 0 1 1 version=1.1 xmlns=http://www.w3.org/2000/svg xmlns:xlink=http://www.w3.org/1999/xlink%3E%3Ctitle%3E%3C/title%3E%3Cg stroke=none stroke-width=1 fill=none fill-rule=evenodd fill-opacity=0%3E%3Cg transform=translate(-249.000000, -126.000000) fill=%23FFFFFF%3E%3Crect x=249 y=126 width=1 height=1%3E%3C/rect%3E%3C/g%3E%3C/g%3E%3C/svg%3E" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">↑ ↑ ↑</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">长按＆扫描</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">海报中的二维码</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">一次订阅★永久回放★随到随学</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">欧拉，这<span style="color: black;">便是</span>这篇推文我要向你隆重<span style="color: black;">举荐</span>的三门量化<span style="color: black;">科研</span>入门级<span style="color: black;">基本</span>课的<span style="color: black;">所有</span>内容了。<strong style="color: blue;"><span style="color: black;">倘若</span>你打算见识一下量化<span style="color: black;">科研</span>的魅力，和一年前的我<span style="color: black;">同样</span>是个量化<span style="color: black;">科研</span>的小白白，<span style="color: black;">那样</span>，我<span style="color: black;">保准</span>，这些课程是你最好的<span style="color: black;">选取</span>。</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">由于</span>，我听过，见识过，并且<span style="color: black;">因此呢</span>成长。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">——END——</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="data:image/svg+xml,%3C%3Fxml version=1.0 encoding=UTF-8%3F%3E%3Csvg width=1px height=1px viewBox=0 0 1 1 version=1.1 xmlns=http://www.w3.org/2000/svg xmlns:xlink=http://www.w3.org/1999/xlink%3E%3Ctitle%3E%3C/title%3E%3Cg stroke=none stroke-width=1 fill=none fill-rule=evenodd fill-opacity=0%3E%3Cg transform=translate(-249.000000, -126.000000) fill=%23FFFFFF%3E%3Crect x=249 y=126 width=1 height=1%3E%3C/rect%3E%3C/g%3E%3C/g%3E%3C/svg%3E" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">号主老踏：教授，博士后，社科<span style="color: black;">研究</span>工作达人，文艺老炮。知乎、简书「社科·学术成长」专栏作者，在行认证行家+答主，【学术链@老踏】荔枝微课直播间主理人。</span><span style="color: black;">个人<span style="color: black;">微X</span>laota0707。</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="data:image/svg+xml,%3C%3Fxml version=1.0 encoding=UTF-8%3F%3E%3Csvg width=1px height=1px viewBox=0 0 1 1 version=1.1 xmlns=http://www.w3.org/2000/svg xmlns:xlink=http://www.w3.org/1999/xlink%3E%3Ctitle%3E%3C/title%3E%3Cg stroke=none stroke-width=1 fill=none fill-rule=evenodd fill-opacity=0%3E%3Cg transform=translate(-249.000000, -126.000000) fill=%23FFFFFF%3E%3Crect x=249 y=126 width=1 height=1%3E%3C/rect%3E%3C/g%3E%3C/g%3E%3C/svg%3E" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><a style="color: black;">加入社群</a><span style="color: black;"> | </span><a style="color: black;"><span style="color: black;">研究</span>辅导</a><span style="color: black;"> | </span><a style="color: black;">写作打卡</a><span style="color: black;"> | </span><a style="color: black;"><span style="color: black;">研究</span>精进</a></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><a style="color: black;">成长日记</a><span style="color: black;"> | <span style="color: black;"><a style="color: black;">国家社科</a></span><span style="color: black;"> | </span></span><a style="color: black;">投稿攻略</a><span style="color: black;"> | </span><a style="color: black;">国社后期</a></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><a style="color: black;">期刊科普</a><span style="color: black;"> | </span><a style="color: black;">论文写作</a><span style="color: black;"> | </span><a style="color: black;">论文精选</a><span style="color: black;"> | </span><span style="color: black;"><a style="color: black;">成长书籍</a></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><a style="color: black;">求职简历</a><span style="color: black;"> | </span><a style="color: black;">文献专著</a><span style="color: black;"> | </span><a style="color: black;">老踏干货</a><span style="color: black;"> | <span style="color: black;">连续</span>更新</span></p>
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