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Introduction to Survey Data Quality 
Vast amounts of survey data are collected for many purposes, including governmental information, public opinion and election surveys, advertising and market research as well as scientific research
Survey data underlie many public policy and business decisions
Good quality data reduces the risk of poor policies and decisions and is of crucial importance
Generating SPSS training materials in StatJR
StatJR is a software system that can interoperate with other statistical software.
For example there is a StatJR template to fit a regression in many packages including SPSS.
SPSS is often used for training in the social sciences.
We have extended StatJR’s functionality so that it can automatically create ‘bespoke’ SPSS training materials.
Introduction to the Stat-JR software package
A statistical software package written in Python and first released in 2013.
Named after our former colleague Jon Rasbash and pronounced “Stature”.
Stat-JR is meant to appeal to novice users, expert users and other algorithm developers
It has its own MCMC estimation engine built into the software but also allows interoperability with other software packages (this talk).
Has several interfaces including an electronic book interface including “statistical analysis assistant” features (talk 2).
Can also be used to create “bespoke” training materials in combination with the SPSS software package (talk 3).
Multi level modelling- random coefficient models | Ian Brunton-Smith
Random coefficient models
Allowing individual-level relationships to vary across groups
Linking individual and group level explanations – cross level interactions
Multi level modelling - random intercept models | Ian Brunton Smith
Two level random intercept models
Comparing groups – the variance components model
Quantifying group differences – the variance partition coefficient
Adding predictors at the individual and group level – the random intercept model
Introduction to multilevel modelling | Ian Brunton-Smith
Introducing multilevel modelling,
What is multilevel modelling
Data structures and multilevel questions
The benefits of a multilevel approach
Biosocial research:How to use biological data in social science research?
Integrating biological and social research data for biological research- How to use biological
data in social science
research?
Integrating biological and social research data - Michaela Benzeval
Integrating biological and social research data for biological research
Recommended
Introduction to Survey Data Quality
Vast amounts of survey data are collected for many purposes, including governmental information, public opinion and election surveys, advertising and market research as well as scientific research
Survey data underlie many public policy and business decisions
Good quality data reduces the risk of poor policies and decisions and is of crucial importance
Generating SPSS training materials in StatJR
StatJR is a software system that can interoperate with other statistical software.
For example there is a StatJR template to fit a regression in many packages including SPSS.
SPSS is often used for training in the social sciences.
We have extended StatJR’s functionality so that it can automatically create ‘bespoke’ SPSS training materials.
Introduction to the Stat-JR software package
A statistical software package written in Python and first released in 2013.
Named after our former colleague Jon Rasbash and pronounced “Stature”.
Stat-JR is meant to appeal to novice users, expert users and other algorithm developers
It has its own MCMC estimation engine built into the software but also allows interoperability with other software packages (this talk).
Has several interfaces including an electronic book interface including “statistical analysis assistant” features (talk 2).
Can also be used to create “bespoke” training materials in combination with the SPSS software package (talk 3).
Multi level modelling- random coefficient models | Ian Brunton-Smith
Random coefficient models
Allowing individual-level relationships to vary across groups
Linking individual and group level explanations – cross level interactions
Multi level modelling - random intercept models | Ian Brunton Smith
Two level random intercept models
Comparing groups – the variance components model
Quantifying group differences – the variance partition coefficient
Adding predictors at the individual and group level – the random intercept model
Introduction to multilevel modelling | Ian Brunton-Smith
Introducing multilevel modelling,
What is multilevel modelling
Data structures and multilevel questions
The benefits of a multilevel approach
Biosocial research:How to use biological data in social science research?
Integrating biological and social research data for biological research- How to use biological
data in social science
research?
Integrating biological and social research data - Michaela Benzeval
Integrating biological and social research data for biological research
Teaching research methods: pedagogy hooks
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Participatory performative and mobile methods
The research combines walking methods and participatory theatre –working with migrant mothers, girls and migrant women with no recourse to public funds - to understand the lives, experiences and sense of belonging and place making – involved in enacting citizenship
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to Identify social structures which lead to oppressions
to try out interventions for social action
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A non-recursive model contains one or more ‘feedback loops’ or ‘reciprocal’ effects
From measurement model to structural model
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2. Fit regression paths between concepts
These are the ‘structural equations’ which specify how concepts are related to each other
2. Test hypotheses on model parameters
3. Assess model fit
Walking as a participatory, performative and mobile method
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Participatory theatre as a social research methods
We look at generating research data, engaging participants in dialogue with other social groups
policy makers and practitioners in an integrated way from research, to dissemination.
Online data sources and information exposure
In these slides, I, Susan Banducci and Iulia Cioroianu from the University of Exeter talk about online data sources and how you use those to answer questions about information exposure.
Cumulative knowledge in community studies by Professor Graham Crow
Community studies have evolved as more sophisticated methods have emerged, as well as in response to criticisms.
One example is the development of on-line research methods to study on-line communities.
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Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
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Teaching research methods: pedagogy hooks
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SIMs are statistical models that we can use to represent origin-destination flows
Cognitive interviewing
Think aloud
Probing
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Explain format of the interview
Interviewer will ask a survey question/ ask respondent to attempt to fill in a questionnaire
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Participatory performative and mobile methods
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to reflect on the social construction of reality
to Identify social structures which lead to oppressions
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A recursive model is one where all causal effects are uni-directional and disturbances are uncorrelated
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These are the ‘structural equations’ which specify how concepts are related to each other
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Online data sources and information exposure
In these slides, I, Susan Banducci and Iulia Cioroianu from the University of Exeter talk about online data sources and how you use those to answer questions about information exposure.
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