1 / 20

S-012 Empirical Methods: Introduction to Statistics for Research

S-012 Empirical Methods: Introduction to Statistics for Research. Fall 2010-2011 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. Provides an introduction

grant-davenport
Download Presentation

S-012 Empirical Methods: Introduction to Statistics for Research

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. S-012Empirical Methods: Introduction to Statistics for Research Fall 2010-2011 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 • Many of you have had some background • 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. Hinkle, D.E., Wiersma, W., and Jurs, S.G. (2003). Applied statistics for the behavioral sciences (5th edition). Boston: Houghton Mifflin. • Publication Manual of the American Psychological Association, Sixth edition. Washington, DC: American Psychological Association. • Nicol, A. A. & Pexman, P. M. (1999). Presenting your findings: A practical guide for creating tables. Washington, DC: American Psychological Association.

  5. Stata software (New this fall!) • Available on machines throughout GSE • Runs on Mac and Windows-based machines • 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. (2008) A gentle introduction to Stata, Second edition. College Station, TX: Stata Press.

  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 24 • 5 17 • 6 24 • Letter grade or the SAT/No credit option

  7. Practice problems, many from the textbook • Not graded • We will review these during optional weekly review sessions

  8. Weekly office hours schedule available soon • Scheduled throughout the week • We will 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 • TFs will also help with weekly review sessions. • TFs are very helpful resources!

  9. No course pack for S-012 • I will distribute packages of handouts • 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 9

More Related