etec 668 quantitative research in educational technology
DESCRIPTION
ETEC 668 Quantitative Research in Educational Technology. Dr. Seungoh Paek January 15, 2014. Instructors. Seungoh Paek ([email protected]) Yahna Kawaa ([email protected]) Youxin Zhang ([email protected]). Tonight’s Agenda. Introductions Course Overview Review the Syllabus and Schedule - PowerPoint PPT PresentationTRANSCRIPT
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ETEC 668 Quantitative Research in Educational Technology
Dr. Seungoh PaekJanuary 15, 2014
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Instructors
Seungoh Paek ([email protected]) Yahna Kawaa ([email protected]) Youxin Zhang ([email protected])
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Tonight’s Agenda
Introductions Course Overview
Review the Syllabus and Schedule
Review Content, Grading, and Objectives
Introduction to Quantitative Research in Educational Technology
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Ice Breaker
ETEC 668
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Activity
Find a partner- Someone you don’t know well
Ask them questions
Introduce them to the rest of the class
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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?
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Course Overview
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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)
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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
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Statistical Analysis
Frequency distributions Mean and variance Linear correlation Simple regression Chi-square test t-test Analysis of Variance (ANOVA)
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Course Objectives
At the end of the course, students will be able to1. describe the different types of quantitative ed-
tech research methodologies;2. identify an area of interest that the student
wants to gather and use data for research;3. locate and critically evaluate and/or build on
previous research in area of interest;
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Course Objectives
At the end of the course, students will be able to4. determine the relationship between the
research question or problem and the selection of a methodology;
5. determine data needs for research;6. access secondary data that is available about
an issue or identify an appropriate method or methods of data gathering to secure primary data;
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Course Objectives
At the end of the course, students will be able to
6. conduct and interpret basic statistical analyses using SPSS;
7. produce a research paper for submission to a conference or journal publication
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Course StructureSTATISTICS ETEC Research
Introduction to Statistics Introduction to Quantitative Research
Statistical Procedures Research Problem
Descriptive Statistics Literature Review
Frequency, Mean, Variance, etc. Research Methods
Inferential Statistics Research Design
Correlations Data Collection
Linear Regression Data Analysis
t-test Report Results
Analysis of Variance (ANOVA) Discussion & Presentation
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Course Assignments and Grading
The course has one major research paper as well as three smaller assignments to build skills.
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Course Assignments and Grading
The course has one major research paper as well as three smaller assignments to build skills.
1. Research Paper (250pt)2. Group Review (50pt) 3. Research Presentation (100pt)
Total 400 pt
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Course Assignments and Grading
The course has one major research paper as well as three smaller assignments to build skills.
1. Research article critique workshop (100pt)2. Review of professional journal for paper submission
(100pt)3. Akamai consulting scenario (200pt)
Total 400 pt
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ETEC 668 – The Big Picture
1
• Readings• Additional resources• In-Class activities
2
• Research article critique• Review of a professional journal for paper submission• Akamai Consulting Scenario (4 Tasks)
3
• Research Paper (literature review & research proposal)• Group Reviews• Group Presentation
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Individual & Group WorkIndividual Work (40%) Points
Class attendance & ParticipationNote: Participation will be assessed according to contribution to group discussion, meeting deadlines for postings, and quality of contributions and postings in Laulima site)
200
Research article critique workshop 100
Review of a professional journal for paper submission 100
Group Work (60%)
Group Project – Akamai Consulting Scenario (4 Tasks) 200
Group Project – Research Paper (literature review & research proposal) 250
Group Reviews 50
Group Presentation 100
Total points 1000
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Individual & Group WorkIndividual Work (40%) Points
Class attendance & ParticipationNote: Participation will be assessed according to contribution to group discussion, meeting deadlines for postings, and quality of contributions and postings in Laulima site)
200
Research article critique workshop 100
Review of a professional journal for paper submission 100
Group Work (60%)
Group Project – Akamai Consulting Scenario (4 Tasks) 200
Group Project – Research Paper (literature review & research proposal) 250
Group Reviews 50
Group Presentation 100
Total points 1000
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Grading
Grade A B C D F
+ 100+ 86-89 76-79 66-69
59 & below0 95-100 83-85 73-75 63-65
- 90-94 80-82 70-72 60-62
Grades should not be the focus of your assignments/projects!
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Required TextbookStatistics for People Who (Think They) Hate Statistics
4th Edition(Paperback or Kindle)
5th Edition
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Required TextStatistics for People Who (Think They) Hate Statistics
4th Edition(Paperback or Kindle)
5th Edition
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Recommended Textbook
IBM SPSS for introductory statistics: Use and interpretation
IBM SPSS for intermediate statistics: Use and interpretation
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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)
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Questions?
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Introduction to Quantitative Research
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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
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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
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Research = Problem Solving
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Suppose when you flip the light switch and the lamp does not come on.
FACTPREDICTION
(HYPOTHESIS)
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Suppose when you flip the light switch and the lamp does not come on.
FACTPREDICTION
(HYPOTHESIS)
Lamp does not work.
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Suppose when you flip the light switch and the lamp does not come on.
FACTPREDICTION
(HYPOTHESIS)
Lamp does not work. New bulb will cause lamp to come on.
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Suppose when you flip the light switch and the lamp does not come on.
FACTPREDICTION
(HYPOTHESIS)
Lamp does not work. New bulb will cause lamp to come on.
Replace bulb and light still does not come on.
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Suppose when you flip the light switch and the lamp does not come on.
FACTPREDICTION
(HYPOTHESIS)
Lamp does not work. New bulb will cause lamp to come on.
Replace bulb and light still does not come on.
Notice lamp cord is not plugged fully into wall socket.
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Suppose when you flip the light switch and the lamp does not come on.
FACTPREDICTION
(HYPOTHESIS)
Lamp does not work. New bulb will cause lamp to come on.
Replace bulb and light still does not come on.
Notice lamp cord is not plugged fully into wall socket.
Pushing in plug will make light work.
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Suppose when you flip the light switch and the lamp does not come on.
FACTPREDICTION
(HYPOTHESIS)
Lamp does not work. New bulb will cause lamp to come on.
Replace bulb and light still does not come on.
Notice lamp cord is not plugged fully into wall socket.
Pushing in plug will make light work.
Lamp comes on.
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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)
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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)
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Statistics is boring?
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Sebastian Wernicke: Lies, damned lies and statistics (about TEDTalks)
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Quantitative vs. Qualitative Research
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Deductive vs. Inductive
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Contrasting positivist and interpretive approaches
Positivist Interpretive Reality is “real” – exists independent
of human consciousness Human beings are rational creatures
governed by social laws Science is based on strict rules
based on universal causal laws Science is value free
Reality is in the minds of people Human beings are actors who create
social reality by assigning meaning systems to events
Science represents reality symbolically in a descriptive way
Science is not value free, value neutrality is neither necessary or possible
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Contrasting positivist and interpretive approaches
Positivist Interpretive Reality is “real” – exists independent
of human consciousness Human beings are rational creatures
governed by social laws Science is based on strict rules
based on universal causal laws Science is value free
Reality is in the minds of people Human beings are actors who create
social reality by assigning meaning systems to events
Science represents reality symbolically in a descriptive way
Science is not value free, value neutrality is neither necessary or possible
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Contrasting positivist and interpretive approaches
Positivist Interpretive Controlled setting for research Subject is an object in the research Research design fixed Researcher ‘outside’ Emphasis on reliability
Complex, real world setting for research
Subject is a participant in the research process
Research design evolving Researcher ‘inside’ Emphasis on validity
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Theory building in quantitative and qualitative research
Quantitative QualitativeLogic of theory Deductive Inductive
Direction of theory building
Begins from theory Begins from observation of reality
Verification Takes place after theory building is complete
Data generation, analysis and theory verification concurrent
Concepts Designed before research begins
Begins with flexible concepts
Generalizations Inductive sample-to-population
Analytical or exemplar
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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
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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
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Group Activity
In groups of two, please spend 10 minutes discussing the pros and cons of Quantitative Research?
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Advantages of Quantitative Research
Tradition and history implies rigor Indispensable in areas like user demographics,
issues of equity, patterns of use Numbers and statistics allows precise and exact
comparisons Generalization of findings
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Limitations of Quantitative Research
Cannot capture complexity of communication over time
Reality cannot be defined objectively, it is interpreted by social interaction
Takes the subject outside of natural setting/tasks Difficult to apply outside of controlled
environments The quantitative model is the natural sciences, this
model may not be relevant for the social sciences
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Advantages of qualitative research
Purpose is to understand rather than measure
Is holistic and accommodates the emergent properties of real-world situations
Places findings in context – historical, cultural, political
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Limitations of Qualitative Research
Qual: Requires a different way of thinking to address issues like:– Reliability: repeatable with same/comparable
results– Validity: relationship between conditions and
results– Generalizability: historical and cultural
limitations
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When is Qualitative Useful?
Qualitative research relies on imprecise and everyday notions of what is valid, etc.
But it does so reflexively; in a self-aware and theoretically-mediated manner.
Qualitative is useful in relationship to quantitative if:– The topic has been researched for a long time in the
same way– The topic is new to research– You would like in-depth information that may be
difficult to convey quantitatively
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Types of Quantitative Educational Technology Research
Non-experimental– numeric description of trends– attitudes– Opinions
Experimental (treatment outcome)
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Types of Non-Experimental Educational Technology Research
Correlational Research Survey Research Descriptive Research (qual & quant)
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Types of Experimental Educational Technology Research
Random assignment of subjects (“Experimental”)
Nonrandomized & single-subject design (Quasi-experimental)
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“Experimental” Designs
R X1 O (R = randomly assigned subjects; X = treatment)
R X2 O (O = observation/outcome)
Should be:– Replicable: repeat with the same results in another setting– Generalizable, representative– Cumulative: observations from earlier experiment used as a
basis for new one– Causal: establishes cause and effect (predictive)
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Quasi-Experimental
X1 O (X = treatment)
X2 O (O = observation/outcome)
Randomness is approximated through pre-tests to ensure “equivalence”
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Research Methodology Used in Distance Education Research
74.83%
5.96%6.63%
12.58%
(Berge & Mrozowski, 2001)
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Questions/Comments?
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The Language of Research Ethics
No harm may be done to participants Voluntary participation “Informed consent” Right to privacy:– Confidentiality – no identifying info– Anonymity - even to researcher
Institutional Review Board (IRB) aka Committee on Human Studies (CHS) http://www.hawaii.edu/irb/index.htm
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What To do in Week 01
Post individual response to course expectations/research interest questions by Tuesday, January 21st.
Do the required readings for Week 02.Note: Readings are available for download on Laulima (Modules Week 02)