Designing Surveys for the Mobile Web
10th February 2016
CMIST, Humanities Bridgeford Street
Mobile devices (smartphones and tablets) are increasingly being used by respondents to complete Web surveys. This presents a number of design challenges for survey researchers. Smartphones also offer a number of added possibilities for survey designers, such as the use of GPS to track movement, apps to trigger measurement at set times (ecological momentary assessment), the possibility of capturing images, and other features. This course will focus on the design implications of the rise of mobile device use. The research evidence will be reviewed, and the various options for accommodating mobile Web users will be discussed. The challenges of using the enhanced features of mobile phones for general population surveys will also be reviewed. The course is focused on situations where respondents are using their own devices, i.e., the designer has little control over the device used. The course is not focused on apps or data collection among small groups of volunteers.
For more information and to book
http://www.ncrm.ac.uk/training/show.php?article=6141
Assessing and adjusting for missing data in longitudinal studies
20th April 2016
CMIST, Humanities Bridgeford Street
It is intended that students attending the course will be able to assess the implications of non-response for different kinds of datasets that they might use. Students new to longitudinal data should consider taking the CMIST short course running immediately before this one. The course will not cover multiple imputation in any detail and students particularly interested in this topic should take one of the other specialist NCRM courses.
The course begins with a general overview of methods for handling missing data. It is followed by an introduction to response propensity models and their use in constructing non-response weights; this is linked to a practical session using data from the National Child Development Study (NCDS). After lunch, there is a session on how to estimate R (for representativity) indicators and Receiver Operating Characteristic (ROC) curves for assessing bias and prediction; this is linked to a practical session using data from the Millennium Cohort Study (MCS). The day concludes with a session on assessing missingness with repeated measures data.
For more information and to book
http://www.ncrm.ac.uk/training/show.php?article=6117
Causal analysis with longitudinal data using fixed and random effects models
21st April 2016
CMIST, Humanities Bridgeford Street
It is intended that students attending the course will be able to specify and estimate causal models for observational longitudinal data.
The course begins with a general consideration of, and practical work with models for data collected on two occasions, including differences in differences and Lord’s Paradox. It is followed by extensions to more than two occasions, focussing on the different regression lines that can be estimated. After lunch, random and fixed effects models are considered in detail, again linked to a practical session.
For more information and to book
http://www.ncrm.ac.uk/training/show.php?article=6118
Event history analysis
21st April 2016
CMIST, Humanities Bridgeford Street
It is intended that students attending the course will be able to specify and estimate models for different kinds of event history data in discrete and continuous time.
The course begins with an explication of, and practical work with models for data collected in discrete time such as the Cox proportional hazards model and a widely used approach via logistic regression. It is followed by extensions to hazard models for repeated episodes and those that account for frailty, again with a practical session. Finally, models for data in continuous time where the focus is on modelling the duration directly are considered, again linked to a practical session.
For more information and to book
http://www.ncrm.ac.uk/training/show.php?article=6119
Applied GIS: social science applications
26th-27th April 2016
CMIST, Humanities Bridgeford Street
This course is aimed at researchers who have some familiarity with spatial data and GIS software functionality. This two day course uses a series of accessible hands-on practicals and supporting lectures to introduce participants to a series of more advanced spatial analysis functions and tools within a GIS. We work primarily with vector data (points, lines, polygons and networks) to gain familiarity with GIS tools and techniques used for applied research within the social sciences. Specifically we will introduce spatial clustering, measures of proximity and access, network analysis, construction of service areas and evaluation of facility or service locations, via a series of research questions which could applied in many research contexts. We use ESRIs ArcGIS industry standard proprietary GIS software, widely used by the research community and commercial sector.
For more information and to book
http://www.ncrm.ac.uk/training/show.php?article=6140
Training bursaries
The ESRC wishes to improve the standards of research methods and to stimulate the uptake of high quality training courses in research methods across the UK social science community. The bursaries, for up to £500 each, enable staff in the UK social science community engaged in research, teaching research methods or supervising research to update their research skills. Contract researchers working in HEIs are also eligible for the bursaries.
For more information
http://www.ncrm.ac.uk/TandE/bursary/
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