Git Product home page Git Product logo

statistical-inference-data-gss-with-r-'s Introduction

Statistical-Inference-Data-GSS-with-R-

RPubs_Peer_Graded Assignment

http://rpubs.com/Michelletan78/389848

Part 1: Data (some of below comments was taken from the GSS website and/or other online sources) The General Social Survey Since 1972, the General Social Survey (GSS) has been monitoring societal change and studying the growing complexity of American society. The GSS aims to gather data on contemporary American society in order to monitor and explain trends and constants in attitudes, behaviors, and attributes; to examine the structure and functioning of society in general as well as the role played by relevant subgroups; to compare the United States to other societies in order to place American society in comparative perspective and develop cross-national models of human society; and to make high-quality data easily accessible to scholars, students, policy makers, and others, with minimal cost and waiting. GSS questions cover a diverse range of issues including national spending priorities, marijuana use, crime and punishment, race relations, quality of life, confidence in institutions, and sexual behavior The GSS aims to make high-quality data easily accessible to scholars, students, policy makers, and others, with minimal cost and waiting. The GSS uses face-to-face interviews by professional interviewers in US households - one adult is randomly selected from each household. The goal is to target a well-defined population that is representative of the target population of US adults. The GSS claims that its samples closely resemble US population distributions as reported in the Census. Conclusions drawn from the data are mostly generalizable to US adults. This survey is not an experiment or observational study and doesn’t have random assignment of respondents to the factors under consideration - thus associations can be obscured by lurking variables and bias - therefore you can’t rule out other confounding factors that may affect any discovered associations between the measured variables. Thus no causality is found only associations which could be used as a basis for future experiments/observational studies to help show causality. Part 2: Research question I am interested in what causes/influences people who grew up poor to improve their financial status as an adult - I am going to do some preliminary investigation into three potential predictor/expanatory variables : education, religious activity and political philosophy. I make a new “factor” variable for each of these categories which join the multiple potential survey responses into two categories (education into “college/no college”; religious activity into “active/not active” and political philosophy into “conservative/liberal” ). For any of these potential predictor variables that show promise in the initial Exploratory Analysis I will perform inference testing. My interest in this subject is to explore what types of life style choices could be effective in improving one’s life. Part 3: Exploratory data analysis

statistical-inference-data-gss-with-r-'s People

Contributors

michelletan78 avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.