Social Science

Documentation for the 2017 European Internet Panel Study

by sveinungarnesen78

2018-12-05

This is the survey documentation of the 2017 European Internet Panel Study. […] The EIPS is a collaboration between six European probability-based online survey panels. This document gives an overview of the fourth survey, conducted in 2017 (N = 18249). The 2017 joint survey wave was fielded in France by the L’ ́etude longitudinale par internet pour les sciences social sat Sciences Po, in Germany by the German Internet Panel at the University of Mannheim, in Iceland by the Social Science Research Institute Panel (University of Reykjavik), in The Netherlands by the Longitudinal Internet … Read more →

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Big data and Social Science

by Paul C. Bauer

2018-11-22

Script for the seminar ‘Big Data and Social Science’ at the University of Bern. […] The present document serves both as slides and script for the workshop/seminar Big Data and Social Science. This seminar is taught by Paul C. Bauer at the University of Bern (Fall Semester 2018). The material was developed by Paul C. Bauer and heavily draws on material developed by Pablo Barberà in courses such as Social Media & Big Data Research, Big Data Analysis in the Social Sciences and Automated Collection of Web and Social Data. Any original material and examples is licensed under a Creative Commons … Read more →

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recoding Introduction to Mediation, Moderation, and Conditional Process Analysis

by A Solomon Kurz

2018-07-30

This project is an effort to connect his Hayes’s conditional process analysis work with the Bayesian paradigm. Herein I refit his models with my favorite R package for Bayesian regression, Bürkner’s brms. I use syntax based on sensibilities from the tidyverse and plot with Wickham’s ggplot2. […] Andrew Hayes’s Introduction to Mediation, Moderation, and Conditional Process Analysis text, the second edition of which just came out, has become a staple in social science graduate education. Both editions of his text have been from a frequentist OLS perspective. This project is an effort to … Read more →

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ggplot2 介紹

by 林茂廷老師

2018-04-21

ggplot2 介紹 […] hypothes.is: https://hypothes.is/groups/eBBqEGde/minicourse-ggplot2 要在hypothes.is貼上程式碼時,請依下例張貼: ggplot2 cheatsheet Computing for the Social Sciences, U.Chicago. ggplot2part of the … Read more →

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Lab notes for Statistics for Social Sciences II: Multivariate Techniques

by Eduardo García Portugués

2018-01-20

Lab notes for Statistics for Social Sciences II: Multivariate Techniques […] Welcome to the lab notes for Statistics for Social Sciences II: Multivariate Techniques. Along these notes we will see how to effectively implement the statistical methods presented in the lectures. The exposition we will follow is based on learning by analyzing datasets and real-case studies, always with the help of statistical software. While doing so, we will illustrate the key insights of some multivariate techniques and the adequate use of advanced statistical software. Be advised that these notes are neither … Read more →

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Spark Social Science Manual

by Research Programming, The Urban Institute

2016-10-03

Spark Social Science Manual […] Let the sample mean, (\hat{\mu}), be the parameter estimate for our mean parameter (\mu) and the null hypothesis of the t-test be (H_0): (/mu = 0). The test statistic is given by (\hat{\mu} / (\hat{\sigma} / \sqrt{n})). Remember that the p-value is determined by the test statistic and the t-distribution with ((n – 2)) degrees of freedom in this case. By the Central Limit Theorem, (\sqrt{n}*(\hat{\mu}-\mu) \rightarrow N(0,\sigma^2)) as (n \rightarrow \infty), or written differently as (\hat{\mu} \rightarrow \mu + \frac{\sigma}{\sqrt{n}}N(0,1)) … Read more →

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Multivariate Analysis with Optimal Scaling

by Jan de Leeuw, Patrick Mair, Patrick Groenen

2016-09-28
Multivariate Analysis with Optimal Scaling

In 1980 members of the Department of Data Theory at the University of Leiden taught a post-doctoral course in Nonlinear Multivariate Analysis. The course content was sort-of-published, in Dutch, as Gifi (1980). The course was repeated in 1981, and this time the sort-of-published version (Gifi (1981)) was in English. The preface gives some details about the author. The text is the joint product of the members of the Department of Data Theory of the Faculty of Social Sciences, University of Leiden. ‘Albert Gifi’ is their ‘nom de plume’. The portrait, however, of Albert Gifi shown here, is that … Read more →

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