<font style="BACKGROUND-COLOR: #cce8cf;"><h3 align="center">Statistical Analysis with Latent Variables</h3><p align="center"><a href="http://www.ats.ucla.edu/stat/seminars/ed231e/default.htm">http://www.ats.ucla.edu/stat/seminars/ed231e/default.htm</a><br/></p><p>This page contains the streaming video of the lectures of the course Statistical Analysis with Latent Variables taught by Professor Bengt Muthén of the UCLA Graduate School of Education &amp; Information Studies. For more information about the course, including how to obtain the handouts, see the course web page at <a href="http://www.gseis.ucla.edu/faculty/muthen/courses.htm">http://www.gseis.ucla.edu/faculty/muthen/courses.htm</a> .</p><p>All of the streaming videos (except Overview Parts 1-4 in Week 1) are stored as Quicktime movies and can be viewed over a high speed internet connection (DSL, cable, campus connection) using the <a href="http://www.apple.com/quicktime/download/">Quicktime Player</a> . If you are having troubles, see our <a href="http://www.ats.ucla.edu/stat/seminars/qtt.htm">QuickTime Troubleshooting</a> page.</p><p>The audio version of the lectures are available as mp3 files. There are two ways that you can listen to these lectures. One way is via direct download following the link to each of the mp3 files. The other way is via subscribing to it as podcast. For instance, to listen to these lectures via iTunes, go to menu <b>Advanced-&gt;Subscribe to Podcast... </b>and enter this url:<br/><a href="http://www.ats.ucla.edu/stat/seminars/ed231e/latent_variables.xml">http://www.ats.ucla.edu/stat/seminars/ed231e/latent_variables.xml</a></p><ul><li>Week 1 (April 5 &amp; 7) <ul><li>Lecture 1: Overview of course content. A general latent variable modeling framework.<br/><a href="http://www.ats.ucla.edu/stat/seminars/ed231e/lect1b2.html">Overview Part 1</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/overview_p1.mp3">mp3</a>), <a href="http://www.ats.ucla.edu/stat/seminars/ed231e/lect1c.html">Overview Part 2</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/overview_p2.mp3">mp3</a>), <a href="http://www.ats.ucla.edu/stat/seminars/ed231e/lect1d.html">Overview Part 3</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/overview_p3.mp3">mp3</a>), <a href="http://www.ats.ucla.edu/stat/seminars/ed231e/lect1e.html">Overview Part 4</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/overview_p4.mp3">mp3</a>), <a href="http://www.ats.ucla.edu/videos/edu231e_1_ref.mov">Welcome</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_1.mp3">mp3</a>) </li><li>Lecture 2: <a href="http://www.ats.ucla.edu/videos/edu231e_2_ref.mov">Confirmatory factor analysis</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_2.mp3">mp3</a>) </li></ul></li><li>Week 2 (April 12 &amp; 14) <ul><li>Lecture 3: <a href="http://www.ats.ucla.edu/videos/edu231e_3_ref.mov">Multiple-group confirmatory factor analysis</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_3.mp3">mp3</a>) </li><li>Lecture 4: <a href="http://www.ats.ucla.edu/videos/edu231e_4_ref.mov">Structural equation modeling</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_4.mp3">mp3</a>) </li></ul></li><li>Week 3 (April 19 &amp; 21) <ul><li>Lecture 5: <a href="http://www.ats.ucla.edu/videos/edu231e_5_ref.mov">Introductory growth modeling</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_5.mp3">mp3</a>) </li><li>Lecture 6: <a href="http://www.ats.ucla.edu/videos/edu231e_6_ref.mov">Growth modeling, cont抎</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_6.mp3">mp3</a>) </li></ul></li><li>Week 4 (April 26 &amp; 28) <ul><li>Lecture 7: <a href="http://www.ats.ucla.edu/videos/edu231e_7_ref.mov">Growth modeling, cont抎 </a>(<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_7.mp3">mp3</a>) </li><li>Lecture 8: <a href="http://www.ats.ucla.edu/videos/edu231e_8_ref.mov">Growth modeling, cont抎</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_8.mp3">mp3</a>) </li></ul></li><li>Week 5 (May 3 &amp; 5) <ul><li>Lecture 9: <a href="http://www.ats.ucla.edu/videos/edu231e_9_ref.mov">Introduction to modeling with categorical dependent variables</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_9.mp3">mp3</a>) </li><li>Lecture 10: <a href="http://www.ats.ucla.edu/videos/edu231e_10_ref.mov">Modeling with a preponderance of zeros (zero inflation)</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_10.mp3">mp3</a>) </li></ul></li><li>Week 6 (May 10 &amp; 12) <ul><li>Lecture 11: <a href="http://www.ats.ucla.edu/videos/edu231e_11_ref.mov">Discrete-time survival analysis</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_11.mp3">mp3</a>) </li><li>Lecture 12: <a href="http://www.ats.ucla.edu/videos/edu231e_12_ref.mov">Discrete-time survival analysis (cont'd)</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_12.mp3">mp3</a>) </li></ul></li><li>Week 7 (May 17 &amp; May 19) <ul><li>Lecture 13: <a href="http://www.ats.ucla.edu/videos/edu231e_13_ref.mov">Cross-sectional mixture modeling - LCA</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_13.mp3">mp3</a>) </li><li>Lecture 14: <a href="http://www.ats.ucla.edu/videos/edu231e_14_ref.mov">Cross-sectional mixture modeling - LCRA</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_14.mp3">mp3</a>) </li></ul></li><li>Week 8 (May 24 &amp; 26) <ul><li>Lecture 15: <a href="http://www.ats.ucla.edu/videos/edu231e_15_ref.mov">Longitudinal mixture modeling ?LTA</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_15.mp3">mp3</a>) </li><li>Lecture 16: <a href="http://www.ats.ucla.edu/videos/edu231e_16_ref.mov">Longitudinal mixture modeling - GMM</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_16_lan.mp3">mp3</a>) </li><li>Lecture 16.5: <a href="http://www.ats.ucla.edu/videos/edu231e_16_5_ref.mov">Longitudinal mixture modeling - GMM (cont'd)</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_16_5_long.mp3">mp3</a>) </li><li>Lecture 16.5.1: <a href="http://www.ats.ucla.edu/videos/edu231e_16_5_1_ref.mov">GMM Analysis Strategies (cont'd)</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_16_5_1.mp3">mp3</a>) </li></ul></li><li>Week 9 (June 2) <ul><li>May 31 cancelled due to Memorial Day </li><li>Lecture 17: <a href="http://www.ats.ucla.edu/videos/edu231e_17_ref.mov">Latent variable modeling with missing data</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_17.mp3">mp3</a>) </li></ul></li><li>Week 10 (June 7 &amp; 9) <ul><li>Lecture 18: <a href="http://www.ats.ucla.edu/videos/edu231e_18_ref.mov">Multilevel latent variable modeling</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_18_lan.mp3">mp3</a>) </li><li>Lecture 18.5: <a href="http://www.ats.ucla.edu/videos/edu231e_18_5_ref.mov">Monte Carlo Simulation Studies in Mplus</a>(<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_18_5_l.mp3">mp3</a>) </li><li>Lecture 19: <a href="http://www.ats.ucla.edu/videos/edu231e_19_ref.mov">Multilevel latent variable modeling cont抎</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_19.mp3">mp3</a>) </li></ul></li><li>FINAL抯 Week (June 14) </li><ul><li>Lecture 20: <a href="http://www.ats.ucla.edu/videos/edu231e_20_ref.mov">Multilevel mixture modeling</a> (<a href="http://www.ats.ucla.edu/stat/seminars/ed231e/edu231e_20.mp3">mp3</a>) (The video for this movie was overexposed so the video and audio quality is extremely poor, but is provided in the spirit that "something is better than nothing".) </li></ul></ul><!--Element not supported - Type: 8 Name: #comment--></font><br/><br/><br/><br/><br/><br>蓝色
&nbsp;金钱&nbsp;+100
&nbsp;奖励&nbsp;2008-12-20 8:34:15