Q-Step workshops in Applied Data Analysis of 2015/16

Besides the descriptions of the workshops below, University of Exeter students can check out the Q-Step ELE page for workshop materials like data sets, as well as videos of the full sessions.

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7 December 201716:30

Q-Step: Collecting Social Media Data

This workshop provides an introduction to the main methods used to access, download and store social media data. You will learn how to use Twitter's APIs to collect tweets and user details, and how to collect Facebook posts and comments. Basic knowledge of programming in Python is required, and participants are required to attend the "Intro to Python" workshop first.. Full details
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30 November 201714:30

Q-Step : Designing Experiments

At the workshop we will consider basic principles of designing field and survey experiments. We will start with discussing the idea of causal inference and randomisation. Then we will review several experimental designs: completely randomised, stratified, paired, cluster randomised, factorial. Next, we will discuss statistical power in experiments and conclude with a review of the methods for the analysis of experimental data, such as ANOVA and linear model. The workshop will be useful for Q-Step undergraduate students planning to use experiments for their dissertations, as well as for postgraduate students. Full details
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20 November 201711:30

Q-Step: Intro to Python

Python is increasingly used by social scientists to collect, process and analyse new types of unstructured or semi-structured data, such as online text and social media data. It is a an accessible, yet versatile programming language which is also broadly used for data science and machine learning tasks, combining multiple types of data, simulation and visualization. This workshop provides an introduction to basic programming notions in Python, and introduces some of the most useful packages used in social science research. No previous programming experience is required. NOTE: This workshop is a prerequisite for the following Q-Step workshops (to be offered this and next term): Collecting Social Media Data, Data Analysis in Python, Text Analysis.. Full details
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9 November 201716:30

Q-Step: Data visualisation in R

We will introduce the common approaches to data visualisation in R, including line / bar charts, scatterplots, histogram and density plots in base R and using the ggplot2 package. We will also discuss the aesthetics, geoms and faceting systems in ggplot2. Please bring your own laptop with R, RStudio, and the following packages installed: "tidyverse", "titanic". Full details
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26 October 201716:30

Q-Step: Data management in R

In this workshop, we introduce some of the most popular functions and packages for data management/manipulation including fast data cleaning, recording a number of variables simultaneously, aggregating or summarising data by groups, merging tables, reshaping tables. Using an example data set provided on the spot, we will go through (s/t)apply functions, and functions provided by the dplyr package and the data.table package. Participants will be able to use their own laptops during this workshop and receive support with software installation. Full details
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30 June 20179:15

Collecting and Analysing Social Media Data

This workshop, taught by Prof. Robert Ackland (ANU and Uberlink), provides an introduction to social media analysis using the R package SocialMediaLab. The package provides an easy way to collect text and network data across multiple popular social media platforms (Twitter, Facebook, YouTube and Instagram). You will learn how to collect the data, analyse and visualize it, and generate different types of networks for analysis.. Full details
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16 May 201711:00

Trump's 2016 Victory: Rethinking Theories of Ad Persuasion

Professor Travis Ridout is Thomas S. Foley Distinguished Professor of Government and Public Policy in the School of Politics, Philosophy and Public Affairs at Washington State University. He is also co-director of the Wesleyan Media Project, which tracks political advertising. Ridout's research on political campaigns and political advertising has appeared in the American Journal of Political Science, British Journal of Political Science, Journal of Politics, Political Communication, Political Behavior, Political Psychology, Annual Review of Political Science, and in several book chapters. Full details
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3 March 20179:30

Network Analysis

The workshop provides an introduction for beginners to Social Network Analysis. Full details
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24 February 20179:30

Analysing Text as Data

The workshop will introduce and provide hands on applications of various techniques of content analysis especially focusing on the analysis of texts.. Full details
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17 February 20179:30

Data Visualisation in R

In this workshop we will introduce you to data visualisation in R with two popular packages, dplyr and ggplot2. We will cover most main types of statistical graphics. Full details
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10 February 20179:30

Presenting and Visualising Regression Results

This workshop introduces various ways of automating regression output from Stata and R.. Full details
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3 February 20179:30

Data Analysis in R

Building upon the 'Introduction to Programming in R' and the 'Data Visualisation in R' sessions, this workshop provides a brief introduction to major data analysis topics and their implementation in R. Covered topics include: probability distributions, regression analysis, models for binary and categorical data. Full details
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20 January 20179:30

Introduction to R

This workshop provides an introduction to basic programming notions and their application in R.. Full details
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9 December 201612:30

Qualtrics surveys and survey experiments

Students and research staff in the College of Social Sciences and International Studies now have access to the online survey platform Qualtrics. In this tutorial you will learn how to use Qualtrics to design customized surveys and survey experiments, distribute them, collect the data and report the results. Full details
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2 June 201611:30

Sequence Analysis — Alexey Bessudnov

This workshop offers an introduction to sequence analysis in social sciences. This type of analysis is applied to longitudinal data to model patterns of transitions between states. The usual applications in social sciences are in life course studies for the analysis of labour market trajectories, family dynamics, and other historical sequences. The workshop use the TraMineR package for R. Full details
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22 March 201610:30

Presenting and Visualising Regression Results — Nils-Christian Bormann

This workshop introduces various ways of automating regression output from Stata and R. It will start by covering ways how to automate table creation for Latex and Word. It will then proceed to visualizing marginal effects and predicted probabilities from linear and binary dependent variable regressions and finally discuss visualization of interaction effects. If time permits, we will cover R's advanced plotting and data manipulation packages ggplot2 and dplyr/plyr. Full details
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12 February 201614:30

Data Analysis in R — Iulia Cioroianu

Building upon the "Introduction to Programming in R" session, this workshop provides a brief introduction to major data analysis topics and their implementation in R. Topics covered include: probability distributions, regression analysis, and models for binary and categorical data. Full details
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22 January 201613:30

Introduction to Programming in R — Iulia Cioroianu

This workshop provides an introduction to basic programming notions and their application in R. We will start with an overview of R objects and their attributes. You will then learn how to import data into R and perform simple data manipulations. Finally, we will go over a few simple examples of data analysis and visualization and introduce some of the most commonly used R packages. We will be using RStudio, a user-friendly interface to R. Full details
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8 December 201511:30

Analysing Text as Data — Ekaterina Kolpinskaya

This fifth Q-Step workshop of 2015–16 on Applied Data Analysis introduces and provides hands on applications of various techniques of content analysis especially focusing on the analysis of texts. It starts from outlining the key concepts, defining units of analysis and understanding measurement techniques and theoretical approaches. It then moves on to reviewing applications of content analysis to Social Sciences data (e.g., parliamentary records, political manifestos, policy documents). Finally, participants will be provided with textual data to practice the content analysis techniques.Feel free to bring your own documents (any type of text in digitised, preferably .txt, format) to the workshop. Full details
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1 December 201512:30

Network Analysis — Lorien Jasny

This fourth workshop of 2015–16 provides an introduction for beginners to Social Network Analysis. It gives an overview of key concepts needed to design research that looks at social relations (networks) that connect individual units (actors), so that students can apply social network analysis to their own research. The workshop focuses on the description and visualisation of social network data, looking at structural properties of a network, as well as ideas of centrality in the network. To understand the SNA perspective, practical examples are given from academic literature, illustrative graphics from the media, and source material visualised through R. Full details
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11 November 201516:30

SPSS Intermediate — Katharine Boyd

This workshop introduces you to the basics of statistical analysis using SPSS focusing on cross-tabulations and correlations in particular. The workshop is taught at the intermediate level and requires basic knowledge of SPSS or the attendance of SPSS Beginners Workshop. Full details
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4 November 201516:30

SPSS Beginners — Katharine Boyd

This Q-Step workshop offers a brief guidance on how to get started with SPSS. It reflects on the drawbacks and benefits of the software and explains how to prepare your data to use in SPSS. The workshop then moves on to demonstrate how you can describe the data in SPSS using the 2010 British Election Study data. There are no pre-requisites for taking the workshop, and no prior knowledge of data analysis is assumed. Full details
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20 October 201512:30

How to Read an Empirical Paper — Gabriel Katz-Wisel

Reading empirical articles can be intimidating. The new reader may be daunted by technical jargon, complex methodological procedures and statistical analysis. This workshop guides you through a process to make sense of the typical analysis in an empirical study. Full details
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