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S-012 Empirical Methods: Introduction to Statistics for Research

S-012 Empirical Methods: Introduction to Statistics for Research. Fall 2014-2015 Harvard Graduate School of Education. Tuesday and Thursday, 11:30 -1:00pm Askwith Lecture Hall (Longfellow 100) Terrence Tivnan Larsen Hall 415 tivnante@gse.harvard.edu.

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S-012 Empirical Methods: Introduction to Statistics for Research

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  1. S-012Empirical Methods: Introduction to Statistics for Research Fall 2014-2015 Harvard Graduate School of Education

  2. Tuesday and Thursday, 11:30 -1:00pm • Askwith Lecture Hall (Longfellow 100) • Terrence Tivnan • Larsen Hall 415 • tivnante@gse.harvard.edu

  3. Provides an introduction. There are no special prerequisites. • Many of you have had some background, but lots of variation. • Focus is on understanding and applying the concepts (not on formulas or computations) • Examples from education, easily adapted to other fields • The more you learn, the more fun statistics is • Consider S-030 as a follow-up

  4. Some students prefer to use a text book. Here is a good one. • Hinkle, D.E., Wiersma, W., and Jurs, S.G. (2003). Applied statistics for the behavioral sciences (5th edition). Boston: Houghton Mifflin. This text includes lots of practice problems from a wide variety of areas – education, psychology, etc. So it provides lots of practice. • Other textbooks are also okay. You may have one that you prefer. Most basic statistics textbooks will cover the important topics. • Earlier editions are perfectly fine. • Lots of on-line resources are also helpful. • Many students do fine without a textbook

  5. Stata software • Available on machines throughout GSE • Easy to get started. Great with advanced features. • Similar features to many other packages • SPSS • SAS • Minitab • Used in advanced courses here at GSE • Acock, A. (2014) A gentle introduction to Stata, Fourth edition. College Station, TX: Stata Press. • Earlier editions perfectly fine. • There are lots of great on-line help resources for Stata

  6. Six formal required assignments • All involve reporting and interpreting results • Emphasis on clear writing, not on computations • Assignment Approximate weight • 1 5 • 2 10 • 3 20 • 4 25 • 5 15 • 6 25 • Letter grade or the SAT/No credit option

  7. Practice problems will help to review and reinforce many of the basic concepts. • These are drawn from the textbook, and will also be posted on the course website • Not graded • We will review these during optional weekly review sessions

  8. Weekly office hours schedule available soon • Scheduled throughout the week • We may also hold some Virtual Office Hours via the internet • We will assign you to a TF who will keep track of your assignments, checking them in and returning them to you • The TFs will give you lots of help and feedback • TFs are very helpful resources!

  9. No course pack for S-012 • I will distribute packages of course materials • Be sure to bring these to class • Available on line via the S-012 course website

  10. All regular class sessions will be recorded and made available via the course website • This is a great resource • We may also record some of the review sessions

  11. We will have clickers available to pick up at the beginning of class • I ask questions (via Power Point slides) • You can select your answer • We see a graph of the results • A way to make the class a bit more interactive • A way to get feedback • For students • For me

  12. Unit 1: Basic data sets and descriptive statistics • Unit 2: Properties of distributions • Normal curve, interpreting probabilities, confidence intervals • Unit 3: Techniques for comparing groups • Hypothesis testing • T-tests for means, F-test for variances • Using and interpreting effect sizes • Unit 4: Comparing groups • Categorical data and measures of association • ANOVA • Unit 5: Correlation and Regression

  13. Unit 1: Getting familiar with a data set 1A: Descriptive Statistics

  14. Unit 2: Properties of distributions

  15. Unit 3: Techniques for comparing groups

  16. Comparing groupsCategorical data

  17. Comparing groupsAnalysis of variance

  18. Correlation

  19. Regression

  20. Final regular class on December 2 • Assignment 6 due on Thursday, December 11

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