Title: Teaching statistic in the context of the research process: An inquiry based approach
1Teaching statistic in the context of the research
process An inquiry based approach
- Richard Rowe
- Department of Psychology
- University of Sheffield
2Inquiry Based Learning
- Learning through self-directed exploration
- Open-ended scenarios
- Different approaches may provide valid solutions
- Students choose the methods employed
3Transferable inquiry skills
- Information literacy
- Collaboration
- Interpersonal skills
- Reflection
- Independent learning
4Research Methods and IBL
- Statistical analysis is not inherently inquiry
based - Psychological research IS an inquiry task
- Psychology students not always enthusiastic about
research methods - Become interested during Level 3 project
- When using statistics as an inquiry tool
5The quantitative research process
Hypothesis generation
Topic choice
Literature search
Experimental design
Analysis
Data Collection
Reporting
Interpreting
Write-up
6Inquiry based revisions
- Combine with didactic lectures
- Want to cover the whole research process at
Levels 1 and 2 - Introduce
- Information literacy
- Hypothesis formation and experimental design
- Collaboration
- Develop
- Analysis and interpretation in context of
research literature - Transferable skills
- interpersonal, communication, reflection,
independence
7Resources available
- Level One
- 4 postgraduate led tutorials
- 2 coursework assignments
- Level Two
- 2 lab classes
- 2 coursework assignments
- (130 students)
8Level One
Literature search activity
Hypothesis generation
Topic choice
Literature search
Experimental design
Analysis
Data Collection
Reporting
Interpreting
Write-up
9Research design tutorial
- Tutors present choice of research questions
- From (postgraduate) tutors field
- Collaboratively design study to test one
- Fill out summary sheet at end of tutorial
- Hypothesis, IV levels, Design choice, DV choice,
confounds
10Analysis Workshop tutorial
- Collaboratively analyse data from experimental
design - Data simulated to have properties expected from
collected data - More variables than specified to allow all Level
One Tests
11Analysis Workshop tutorial
- Analyze and write-up data in one hour session
(groups of 4) - Choose statistical tests, run tests, interpret,
write-up - 2 Laptop computers provided (running SPSS and
Word), notes and books allowed, Tutor as a
resource - Submit group report at end of session
12Analysis worksheet
- Describes variables in data set
- 5 questions address
- T-test (related)
- T-test (unrelated)
- Pearson correlation
- Chi-square
- Generate own question and test
13Example data description
- age (measured in years), sex (0f 1m)
- driving aggression (dragg) pre intervention
scored on a questionnaire, range 0-20, higher
scores means more aggressive - driving aggression post intervention (dragg2).
The same driving aggression scale conducted at a
later date. In the interim all drivers had taken
part in an anger management course. - Ever had an accident (accid 0no 1yes)
14Example questions
- 1. Is age related to pre-intervention driving
aggression? - 2. Are male drivers more aggressive than female
drivers (pre-intervention)? - 3. Are male drivers more likely to have been
involved in an accident? - 4. Did the anger management program reduce
driving aggression? - 5. Choose one further analysis to run using your
dataset.
15Conceptual evaluation
- Test interpretation and reporting
- Also test
- choice of statistical test
- Use of SPSS
- Without risk of unfair collusion
- Ability to construct research questions
- Group obscures individual assessment
- 80 course assessed via exam
- Too many questions in assignment!
16Tutor led assessment
- Shared responsibility for daunting task
- Tutor helps to ensure success
- Mimics availability of real-world expert resource
- Unsure how much help to give
- Tutorial is a learning environment
- Assessment provides motivation to engage
- Fewer scripts to mark
- Easier to provide detailed feedback
17I feel more able to formulate research questions
69 Agree
18Tutor feedback
- Design tutorial
- I have learned that by speaking in an
enthusiastic way about an area of research, it is
possible to inspire students to take a deeper
level of interest. - Analysis workshop
- The students seemed familiar enough with the
material being tested, but had trouble applying
their knowledge to a practical problem. - The students completed the task within the set
guidelines and seemed pleased with their
work-although they may just have been relieved it
was over!
19Problems with collaboration
- Group work just tends to be left to one person
who has to take responsibility for it.
20Level 2Putting it all together
Hypothesis generation
Topic choice
Literature search
Experimental design
Analysis
Data Collection
Reporting
Interpreting
Write-up
21Level 2
- Semester One
- Research proposal
- Analysis and report simulated data
- Focus on 1-way ANOVA
- Semester Two
- Full experimental design and report
- Focus on multiple regression
22Semester 1 Research proposal
- Work in groups of 4 during lab class
- 2 computers per group
- Choose research topic between group
- Search for papers on topic using Web of knowledge
- Design experiment to follow-up
- Constrained to design suitable for 1-way ANOVA
- 1 variable, 3 levels
- Summarize proposal during class
23Data generation and analysis
- Dataset simulated to mimic that which might have
been collected - Personalised versions for each student
- Analysis in own time
- 1 way ANOVA (all significant)
- Post hoc test (all 2 groups same, 1 different)
24Semester 1 Submission
- Individual research proposal
- Comprises literature review
- Details hypothesis and proposed methods
- Individual results write-up
- Write-up analysis of simulated data
- 10 of module mark
25Example proposals
- Using a matching pictures task to study telepathy
in monozygotic twins, dyzygotic twins and
siblings - The effects of opiate antagonists on pathological
gambling - The effect of alcohol consumption on reaction
times to potential driving hazards in young men
26I feel more confident using Web of Knowledge
71 Agree
27I feel more able to design experiments
78 Agree
28I feel more able to apply 1-way ANOVA in SPSS
97 Agree
29I am more confident about writing up statistical
analyses
96 Agree
30I prefer analysing data based on my own design to
data on topics chosen by the lecturer
42 Agree
31The project developed my skills as an independent
researcher
76 Agree
32Evaluation
- Historically research methods has lots of maths
- Challenge to fill the void
- Conceptual understanding of statistical tests
- Full engagement with entire research process
- Inquiry based methods well suited
- Also develops transferable skills
- Further test of efficacy will be project students
in 2008-2009
33Acknowledgements
- Psychology Department
- Paul Norman
- Myles Jones
- CILASS
- Pamela McKinney
- Jamie Wood
Kamal Bhana
34Teaching statistic in the context of the research
process An inquiry based approach
- Richard Rowe
- Department of Psychology
- University of Sheffield