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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

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s 012 empirical methods introduction to statistics for research

S-012Empirical Methods: Introduction to Statistics for Research

Fall 2010-2011

Harvard Graduate School of Education

slide2
Tuesday and Thursday, 11:30 -1:00pm
  • Askwith Lecture Hall (Longfellow 100)
  • Terrence Tivnan
  • Larsen Hall 415
  • tivnante@gse.harvard.edu
slide3
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
slide4
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.
slide5
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.
slide6
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
slide7
Practice problems, many from the textbook
  • Not graded
  • We will review these during optional weekly review sessions
slide8
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!
slide9
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
slide10
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
slide11
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
slide12
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
slide20
Final regular class on December 2
  • Assignment 6 due on Thursday, December 9
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