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S-005 Introduction to Educational Research

S-005 Introduction to Educational Research. Fall 2014-2015 Harvard Graduate School of Education. Tuesday and Thursday, 8:30 -10:00am Larsen Hall G-08 (look for updates on room assignment) Terrence Tivnan Larsen Hall 415 tivnante@gse.harvard.edu. Provides an introduction

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S-005 Introduction to Educational Research

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  1. S-005Introduction to Educational Research Fall 2014-2015 Harvard Graduate School of Education

  2. Tuesday and Thursday, 8:30 -10:00am • Larsen Hall G-08 (look for updates on room assignment) • Terrence Tivnan • Larsen Hall 415 • tivnante@gse.harvard.edu

  3. Provides an introduction • No prerequisites • Covers a wide range of topics • Prepares you for more in-depth study later • Useful for consumers and producers of research in education • Many students have gone on to advanced graduate courses and research-related jobs

  4. These cover all of the main topics: • Johnson, B. and Christensen, L. (2008). Educational Research: Quantitative, Qualitative, and Mixed Approaches, Fifth edition. Thousand Oaks, CA: Sage Publications. • Ary, D., Jacobs, L.C., Sorensen, C., & Walker, D. (2014) Introduction to Research in Education, 9th edition. Belmont, CA: Wadsworth. Later in semester, for learning a bit more about Stata (statistical software): Acock, A. (2014) A gentle introduction to Stata, Fourth edition. College Station, TX: Stata Press. (Earlier editions are perfectly fine.)

  5. No course package • I’ll provide handouts in class and/or on course website • Several research journal articles for in-class discussion • Handouts will also be posted on the course website

  6. Stata software • 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 • Lots of great on-line help resources for Stata • Acock, A. (2014) A gentle introduction to Stata, Fourth edition. College Station, TX: Stata Press.

  7. Weekly office hours schedule available soon • Scheduled throughout the week • We will assign you to a TF who will keep track of your assignments, checking them in and returning them to you • TFs are very helpful resources!

  8. All regular class sessions will be recorded and made available via the course website • This is a great resource

  9. 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

  10. All students will complete several required exercises at the beginning of the semester • Then you have a choice: • Several additional formal assignments (most students choose this option) -- OR -- • Carrying out a small-scale research project

  11. Course requirements diagram Exercise 1: Sample sizes All students Due Sept 18 Exercise 2: Selecting samples All students Due Sept 25 • Assignments • Critique of research article • Data collection on sensitive issues • Data analysis draft • Final assignment • Research advice • Data analysis report • Research project • Project idea • Proposal to Committee on Human Subjects • Data collection • Final research report

  12. Three (or is it four?) formal assignments • Journal article critique • Issues in data collection • Data analysis (some practice using Stata) • Reporting statistical results • OK to work together in study groups • More weight on later assignments

  13. OK to work together • OK to combine with another course project (must get permission from both instructors) • Qualitative or quantitative projects • One-page project idea in a couple of weeks • Meet to discuss • Detailed proposal in mid October • We will look at the guidelines for the Committee on Human Subjects at Harvard • Data collection • Data analysis (using Stata if possible) • Final research report • Due December 13

  14. You have a choice of taking course for a letter grade or taking the SAT/No credit option (pass/fail) • Choose when signing up • Must stick with your choice

  15. Types of research Basic principles / planning • Sampling • Research design • Reliability and validity (data quality) Strategies for data collection • Tests and measurement • Questionnaires and interviews • Observations Strategies for data analysis • Preparing a data set for analysis • Statistical techniques • Presenting and reporting results

  16. Final regular class on December 2 • Final assignments/research reports due on December 12

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