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Advanced Methods and Analysis for the Learning and Social Sciences

Advanced Methods and Analysis for the Learning and Social Sciences. PSY505 Spring term, 2012 January 12, 2012. Today’s Class. Administrative Stuff. Administrative Stuff. Is everyone signed up for class? If not, and you want to receive credit, please talk to me after class.

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Advanced Methods and Analysis for the Learning and Social Sciences

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  1. Advanced Methods and Analysis for the Learning and Social Sciences PSY505Spring term, 2012 January 12, 2012

  2. Today’s Class • Administrative Stuff

  3. Administrative Stuff • Is everyone signed up for class? • If not, and you want to receive credit, please talk to me after class

  4. Class Schedule

  5. Class Schedule • As shown on the schedule • Next Monday is MLK day • Every year, I hold a completely optional extra fun session of the classentitled “An Inappropriately Brief Introduction to FrequentistStatistics”, typically during a holiday • This year it will be Monday, 3pm-5pm • Who would like to attend? • Again, it is completely optional and just for extra fun

  6. Class Schedule • As shown on the schedule • Next Wednesday January 18th, class is cancelled

  7. Required Texts • None

  8. Readings • Listed in the course schedule on the web • Mon, Jan. 23reading now online • All readings will be posted online soon

  9. Readings • This is a graduate class • I expect you to todecide what is absolutely crucial • And what you should skim to be prepared for class discussion and for when you need to know it in 8 years

  10. Readings • That said

  11. Readings and Participation • It is expected that you come to class • I will not be taking attendance • It is expected that you be prepared for class by skimming the readings to the point where you can participate effectively in class discussion • I will not be giving quizzes • This is your education, make the most of it!

  12. Course Goals • This course covers key methods useful for quantitative research in the Learning Sciences, as well as the Social Sciences more generally. • You will learn how – and equally importantly, when and why – to use a range of analytic and quantitative methods.

  13. Assignments • There will be 10 homeworks • You choose 6 of them to complete • 3 from the first 5 (e.g. HW 1-5) • 3 from the second 5 (e.g. HW 6-10) • The first 5 will be available at the next regularly scheduled class session

  14. Assignments • Homeworks will be due at least 3 hours before the beginning of class (e.g. noon) on the due date • Since you have a choice of homeworks, extensions will only be granted for instructor error or extreme circumstances • Outside of these situations, late = 0 credit • Homeworks will be due before the class session where their topic is discussed

  15. Why? • These are not your usual homeworks • Most homework is assigned after the topic is discussed in class, to reinforce what is learned • This homework is due before the topic is discussed in class, to enable us to talk more concretely about the topic in class

  16. These homeworks • These homeworks will not require flawless, perfect execution • They will require personal discovery and learning from text resources • Giving you a base to learn more from class discussion

  17. Because of that • You must be prepared to discuss your work in class • You do not need to create slides • But be prepared • to have your assignment projected • to discuss aspects of your assignment in class

  18. I’m not your textbook • I want you to learn what you can from the readings and homework • And then we’ll leverage my experience in discussing the issues the readings and homeworks bring forth

  19. Homework • All assignments for this class are individual assignments • You must turn in your own work • It cannot be identical to another student’s work • The goal is to get diverse solutions we can discuss in class • However, you are welcome to discuss the readings or technical details of the assignments with each other

  20. Examples • Buford can’t figure out the UI for the software tool. Alpharetta helps him with the UI • OK! • Deanna is struggling to understand the item parameter in PFA to set up the mathematical model. Carlito explains it to her. • OK!

  21. Examples • Fernando and Evie do the assignment together from beginning to end, but write it up separately. • Not OK • Giorgio and Hannah do the assignment separately, but discuss their approaches over lunch • OK!

  22. Plagiarism and Cheating: Boilerplate Slide • Don’t do it • If you have any questions about what it is, talk to me before you turn in an assignment that involves either of these • University regulations will be followed to the letter • That said, given these assignments, I am really not worried about this problem in this class

  23. Grading • 6 of 10 Assignments • 15% each (up to a maximum of 90%) • Class participation 10% • PLUS: For every homework, there will be a special bonus of 20% for the best hand‐in. “Best” will be defined in each assignment.

  24. Examinations • There will be an incredibly painful and grueling examination on April 1 • Fortunately, it will count for 0% of your grade

  25. Accommodations for Students with Disabilities • See syllabus and then see me

  26. Questions • Any questions on the syllabus, schedule, or administrative topics?

  27. Who are you • And why are you here? • What kind of methods do you use in your research/work? • What kind of methods do you see yourself wanting to use in the future?

  28. OPTIONAL Next Class • Monday, January 16 • 3pm-5pm • AK232 • Optional Fun Session: An Inappropriately Brief Introduction to Frequentist Statistics  • No readings

  29. Next Official Class • Monday, January 23 • 3pm-5pm • AK232 • Item-Response Theory • Baker, F.B. (2001) The Basics of Item Response Theory. Chapters 1,2, 5.

  30. The End

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