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This course is free, we ask only that you complete this form as fully as possible, to increase the accuracy of our research into learning methods. First, how did you hear about this site?
Select how you heard…
Search engine
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Centre for Multilevel Modelling Newsletter
NCRM website
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Will you be using this course as a teacher or student?
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Which of the following best describes your reason for visiting this course?
Self learning
Course requirement - CMM workshop
Compulsory/ recommended reading for another course
Thinking of using the materials in my own teaching
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Department
Research Interests
Primary Area of Expertise
01 Area Studies (AS)
02 Demography (DEM)
03 Economic and Social History (ESH)
04 Economics (ECON)
05 Education (EDUC)
06 Environmental Planning (PLAN)
07 Human Geography (GEOG)
08 Linguistics (LING)
09 Management and Business Studies (MBS)
10 Political Science and International Studies (POL)
11 Psychology (PSY)
12 Social Anthropology (ANTH)
13 Social Policy (SOP)
14 Social Work (SW)
15 Socio-Legal Studies (SLS)
16 Sociology (SOC)
17 Science and Technology Studies (STS)
18 Statistics, Methods and Computing (SMC)
19 Arts and Humanities
20 Biological Sciences
21 Engineering and Physical Sciences (includes Astronomy and Particle Physics)
22 Environmental Science
23 Medical Sciences
24 Other
Secondary Area of Expertise (if applicable)
Select…
Not applicable
01 Area Studies (AS)
02 Demography (DEM)
03 Economic and Social History (ESH)
04 Economics (ECON)
05 Education (EDUC)
06 Environmental Planning (PLAN)
07 Human Geography (GEOG)
08 Linguistics (LING)
09 Management and Business Studies (MBS)
10 Political Science and International Studies (POL)
11 Psychology (PSY)
12 Social Anthropology (ANTH)
13 Social Policy (SOP)
14 Social Work (SW)
15 Socio-Legal Studies (SLS)
16 Sociology (SOC)
17 Science and Technology Studies (STS)
18 Statistics, Methods and Computing (SMC)
19 Arts and Humanities
20 Biological Sciences
21 Engineering and Physical Sciences (includes Astronomy and Particle Physics)
22 Environmental Science
23 Medical Sciences
24 Other
Other Disciplines (if applicable)
Highest Qualification
Bachelors degree
Masters degree
Ph.D./Doctoral degree
None of these
What is your experience of statistical analysis?
No practical experience
Some experience, e.g. for assessed coursework.
Reasonably experienced. I sometimes carry out statistical analysis as part of my job.
Very experienced. I regularly carry out statistical analysis as part of my job.
What is your familiarity with 1) Descriptive statistics, e.g. mean and standard deviation
Not familiar with
Received training, but no practical experience
Applied it in research or job
2) T-test for comparing the means of two groups
Not familiar with
Received training, but no practical experience
Applied it in research or job
3) Analysis of variance
Not familiar with
Received training, but no practical experience
Applied it in research or job
4) Simple linear regression (one explanatory variable)
Not familiar with
Received training, but no practical experience
Applied it in research or job
5) Multiple linear regression
Not familiar with
Received training, but no practical experience
Applied it in research or job
6) Logistic regression (binary dependent variable)
Not familiar with
Received training, but no practical experience
Applied it in research or job
7) Multinomial logit/probit regression
Not familiar with
Received training, but no practical experience
Applied it in research or job
8) Ordered logit/probit regression
Not familiar with
Received training, but no practical experience
Applied it in research or job
9) Factor analysis?
Not familiar with
Received training, but no practical experience
Applied it in research or job
10) Structural equation modelling?
Not familiar with
Received training, but no practical experience
Applied it in research or job
11) Survival analysis?
Not familiar with
Received training, but no practical experience
Applied it in research or job
12) Time series analysis?
Not familiar with
Received training, but no practical experience
Applied it in research or job
What is your awareness of - and confidence in your ability to apply 1) Differentiation?
Never heard of
Aware of, but would not feel confident about applying
Confident in applying
2) Matrix algebra
Never heard of
Aware of, but would not feel confident about applying
Confident in applying
3) Probability distributions
Never heard of
Aware of, but would not feel confident about applying
Confident in applying
4) Expectation and variance
Never heard of
Aware of, but would not feel confident about applying
Confident in applying
5) Markov chain Monte Carlo (MCMC) estimation
Never heard of
Aware of, but would not feel confident about applying
Confident in applying
6) Maximum likelihood estimation
Never heard of
Aware of, but would not feel confident about applying
Confident in applying
7) Numerical procedures, e.g. Newton-Raphson
Never heard of
Aware of, but would not feel confident about applying
Confident in applying
8) Bayesian inference
Never heard of
Aware of, but would not feel confident about applying
Confident in applying
Have you attended a Centre for Multilevel Modelling workshop?
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No
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Do you own MLwiN software?
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