ETEC 668 Quantitative Research in Educational Technology

1. ETEC 668 Quantitative Research in Educational Technology Dr. Seungoh Paek January 15, 2014

2. Instructors • Seungoh Paek (spaek@hawaii.edu) • Yahna Kawaa (yahna@hawaii.edu) • Youxin Zhang (youxin@hawaii.edu)

3. Tonight’s Agenda • Introductions • Course Overview • Review the Syllabus and Schedule • Review Content, Grading, and Objectives • Introduction to Quantitative Research in Educational Technology

4. Ice Breaker ETEC 668

5. Activity • Find a partner • Someone you don’t know well • Ask them questions • Introduce them to the rest of the class

6. Questions • Partners Name? • Where is your partner from? • What is your partner’s educational background? • Where did they go to school? • What did they study? • Why is your partner taking this class? • What is something special about your partner?

7. Course Overview

8. Overview of ETEC 668 • What are we doing this semester? • Explore quantitative research in educational technology/Education • How are we doing this? • Research Process • Statistics (Theory) • SPSS (Practice)

9. Course Description • This course will provide • the foundational concepts and techniques of quantitative research analysis • with an emphasis on educational technology research. • The course will cover • descriptive statistics • inferential statistics

10. Statistical Analysis • Frequency distributions • Mean and variance • Linear correlation • Simple regression • Chi-square test • t-test • Analysis of Variance (ANOVA)

11. Course Objectives • At the end of the course, students will be able to • describe the different types of quantitative ed-tech research methodologies; • identify an area of interest that the student wants to gather and use data for research; • locate and critically evaluate and/or build on previous research in area of interest;

12. Course Objectives • At the end of the course, students will be able to • determine the relationship between the research question or problem and the selection of a methodology; • determine data needs for research; • access secondary data that is available about an issue or identify an appropriate method or methods of data gathering to secure primary data;

13. Course Objectives • At the end of the course, students will be able to • conduct and interpret basic statistical analyses using SPSS; • produce a research paper for submission to a conference or journal publication

14. Course Structure

15. Course Assignments and Grading • The course has one major research paper as well as three smaller assignments to build skills.

16. Course Assignments and Grading • The course has one major research paper as well as three smaller assignments to build skills. • Research Paper (250pt) • Group Review (50pt) • Research Presentation (100pt)  Total 400 pt

17. Course Assignments and Grading • The course has one major research paper as well as three smaller assignments to build skills. • Research article critique workshop (100pt) • Review of professional journal for paper submission (100pt) • Akamai consulting scenario (200pt)  Total 400 pt

18. ETEC 668 – The Big Picture

19. Individual & Group Work

20. Individual & Group Work

21. Grading Grades should not be the focus of your assignments/projects!

22. Required TextbookStatistics for People Who (Think They) Hate Statistics 4th Edition (Paperback or Kindle) 5th Edition

23. Required TextStatistics for People Who (Think They) Hate Statistics 4th Edition (Paperback or Kindle) 5th Edition

24. Recommended Textbook IBM SPSS for introductory statistics: Use and interpretation IBM SPSS for intermediate statistics: Use and interpretation

25. Statistical Software • PSPP – A free alternative for IBM SPSS Statistics • IBM SPSS Statistics • IBM SPSS Statistics Grad Pack 21.0 BASE ($68.99) • IBM SPSS Statistics Grad Pack 21.0 STANDARD ($87.99)

26. Questions?

27. Introduction to Quantitative Research

28. What is Research? • Studious inquiry or examination; especially:  investigation or experimentation aimed at the discovery and interpretation of facts, revision of accepted theories or laws in the light of new facts, or practical application of such new or revised theories or laws ~ Merriam-Webster • The systematic investigation into and study of materials and sources in order to establish facts and reach new conclusions ~ Google

29. What is Research? • Studious inquiry or examination; especially:  investigation or experimentation aimed at the discovery and interpretation of facts, revision of accepted theories or laws in the light of new facts, or practical application of such new or revised theories or laws ~ Merriam-Webster • The systematic investigation into and study of materials and sources in order to establish facts and reach new conclusions ~ Google

30. Research = Problem Solving

31. Suppose when you flip the light switch and the lamp does not come on.

32. Suppose when you flip the light switch and the lamp does not come on.

33. Suppose when you flip the light switch and the lamp does not come on.

34. Suppose when you flip the light switch and the lamp does not come on.

35. Suppose when you flip the light switch and the lamp does not come on.

36. Suppose when you flip the light switch and the lamp does not come on.

37. Suppose when you flip the light switch and the lamp does not come on.

38. What is Quantitative Research? • Quantitative research refers to the systematic empirical investigation of social phenomena via statistical, mathematical or numerical data or computational techniques. ~ Given (2008)

39. What is Quantitative Research? • Quantitative research refers to the systematic empirical investigation of social phenomena via statistical,mathematicalor numericaldataor computationaltechniques. ~ Given (2008)

40. Statistics is boring?

41. Sebastian Wernicke:Lies, damned lies and statistics (about TEDTalks)

42. Quantitative vs. Qualitative Research

43. Deductive vs. Inductive

44. Contrasting positivist and interpretive approaches

45. Contrasting positivist and interpretive approaches

46. Contrasting positivist and interpretive approaches

47. Theory building in quantitative and qualitative research

48. Quantitative Research • Quant:what, where, and when of natural phenomena • develop and employ mathematical models, theories and hypotheses pertaining to natural phenomena • Involve large samples of subjects; deal with cause/effect • Associated with positivism: that objective truth can be known with certainty, that it can be gained through rational methods

49. Qualitative Research • Qual:why and how of human behaviour • Work with a range of models, theories, pertaining to human phenomena • Involve small groups of participants; interpretation & reflection • Speech and texts, and their interpretation are very important • People's accounts of their actions significant • Not Positivist: no objective truth; different interpretations; no final certainty in knowledge

50. Group Activity In groups of two, please spend 10 minutes discussing the pros and cons of Quantitative Research?