Miguel, Here's a link to my stat syllabus. I do need to point out that, while my syllabus says that I covered factorial ANOVA, I ended up having to skip it in order to cover techniques for nominal and ordinal data. Hope this helps your project.
http://www.shepherd.edu/psychweb/syllabi/PSYC250_Daily.pdf Larry -----Original Message----- From: Miguel Roig [mailto:[EMAIL PROTECTED] Sent: Sunday, June 17, 2007 6:17 PM To: Teaching in the Psychological Sciences (TIPS) Subject: [tips] Knowledge of statistics in our best students Tipsters, over the years, I have reviewed a number of papers that are submitted to local and national conferences, as well as to other outlets of student research (e.g., student journals, competitive awards). In many cases you can 'hear' the student 'voice' in their writing with respect to the various stock phrases (e.g., "many experiments show ..."), inappropriate use of terms (e.g., utilize, prove) that we often find in student papers. You also get a general idea that the paper is, indeed, the student's own research by, for example, the type of topic chosen (e.g., eating disorders is a fairly popular one), the general design of the study, and even in type of the data analyses used (e.g., correlations, t-tests simple ANOVAs). In sum, in those cases I have no doubts that the project was the students' own even if I suspect that the student has received considerable assistance from a mentor. However, in other cases, a student submission is written at a professional or near-professional level, the literature review shows a fairly thorough grasp of relevant issues, and the data are analyzed with fairly sophisticated statistical techniques (e.g., hierarchal regression, MANOVAs, ANCOVAS, structural equations). Some of these papers are of such high quality that, frankly, one begins to wonder the extent of the student's contribution to the paper. I actually have some evidence indicating that some students are given unmerited authorship (see http://facpub.stjohns.edu/%7Eroigm/presentations/student%20authorship%20 in%2 0EPA%2006.ppt). However, it is with respect to students' knowledge of advanced statistical techniques that I now want to pick your brains. So, here are my questions for the group: What are the most advanced data analysis techniques that you are covered in the Statistics course offered in your department? Does your department offer an advanced statistics course and what areas do you cover in those courses? For both questions, a link to a syllabus or course description will be sufficient. TIA Miguel --- To make changes to your subscription go to: http://acsun.frostburg.edu/cgi-bin/lyris.pl?enter=tips&text_mode=0&lang= english --- To make changes to your subscription go to: http://acsun.frostburg.edu/cgi-bin/lyris.pl?enter=tips&text_mode=0&lang=english
