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Browse this collection of activities that all incorporate teaching with data. Activities have been submitted via a number of projects.


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The Heat is On: Understanding Local Climate Change
Dan Zalles, SRI International
Students draw conclusions about the extent to which multiple decades of temperature data about Phoenix suggest that a shift in local climate is taking place as opposed to exhibiting nothing more than natural ...

On the Cutting Edge Exemplary Collection This activity is part of the On the Cutting Edge Exemplary Teaching Activities collection.
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Exercise 8: Using LiDAR and GPS data to model the water table in ArcScene
Barb Tewksbury, Hamilton College
Barbara and David Tewksbury, Hamilton College Tutorial for using the new LiDAR tools (LAS dataset and LAS toolbar) in ArcGIS 10.1 (Acrobat (PDF) 13.8MB Nov6 13). Same LiDAR Tutorial as a Word doc (Microsoft Word ...

On the Cutting Edge Exemplary Collection This activity is part of the On the Cutting Edge Exemplary Teaching Activities collection.
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Northridge: A Case Study of an Urban Earthquake
Michael Mayhew, National Science Foundation;
Michael Mayhew and Michelle Hall, Science Education Solutions Summary The 1994 Northridge Earthquake Case Study explores the mystery of how such a major fault could have been missed within a tectonic basin that is ...

On the Cutting Edge Exemplary Collection This activity is part of the On the Cutting Edge Exemplary Teaching Activities collection.
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When is Dinner Served? Predicting the Spring Phytoplankton Bloom in the Gulf of Maine (College Level)
Brian Welch
College-level adaptation of the Earth Exploration Toolbook chapter. Students explore the critical role phytoplankton play in the marine food web. -

The Role of Audience in Quantitative Writing
Julian Westerhout, Carleton College
This workshop entails the reading of a highly quantitative article, summarizing it for a different audience, and reflecting upon what choices and opportunities audience presents for quantitative writers.

Analyzing Data on American Political Divisions
Steven Schier
Students conducted data analysis about American political divisions and created two papers from this data analysis. Sutdents were assigned to group projects involving data analysis assigned chapters in MICROCASE AMERICAN GOVERNMENT, a textbook that includes access to a variety of datasets.

Introducing Introductory Psychology Students to Quantitative Analysis
Neil Lutsky, Carleton College
An assignment that involves introductory psychology students in the analysis a data set on personality traits and their relationship to measures of happiness and well-being.

Interrogating the Colonial Census in India
This page authored by Parna Sengupta, Carleton College
This assignment, divided into two parts, asks students to consider the decennial census as both a tool of modern (colonial) governance and a source of historical data.

GSS based data analysis
Nader Saiedi, Dept. Soc/Anth, Carleton college
Students will write and present a paper which consists of a review of literature and an empirical/statistical test of the relation between specific variables in the field of social stratification.

The Logic of Congressional Elections
Richard Keiser, Carleton College
A variety of quantitative approaches to Congressional elections in which students learn the causes of electoral outcomes, the predictability of those outcomes, and intervening variables that produce unexpected outcomes.

Assessing the Measurement and Validity of Ambiguous Concepts in Ethnic Conflict Datasets
Devashree Gupta
This assignment introduces students to commonly used datasets in ethnic conflict studies. It also encourages them to think critically about data quality and measurement challenges when using large datasets.

Building an Electoral Dataset and Testing Hypotheses with the Data
Alfred Montero
Undergraduate student project for building datasets and analyzing the electoral, party system, and mass behavioral characteristics for a set of countries.

Political Psychology - Public Political Attitudes Assignment
Greg Marfleet, Carleton College
Students were asked to compare their estimates of public opinion on several current issues to the actual values obtained through the analysis of National Surveys. The objective was to explore a common social attribution error and to acquire familiarity with data sources and on-line analysis tools.

Using Census Data to Explore Race and Ethnicity
Sandra Apgar, Sinclair Community College
Students will interpret CensusScope data regarding segregation exposure and the dissimilarity index from a sociological perspective.

The Death Penalty
James Chriss, Cleveland State University
Students will use data from the General Social Survey to explore factors which affect attitudes towards the death penalty.

Principles of Sociology
Theresa Ciabattari, Wake Forest University
We have spent the last few weeks discussing race, class, and gender inequalities and how sociologists conceptualize these inequalities on the structural, rather than the individual, level. In this second research report, you will have the opportunity to apply this structural perspective. You will use U.S. Census data from 1950 to 1990 to analyze shifts in occupational structures in your home state and how these shifts vary by race, sex, or education.

Poverty and Young Adults
Joan Morris, University of Central Florida
This exercise focuses on the effects of various social characteristics on poverty. It is based on the sociological assumption that patterns exist in relation to poverty in society.

AIDS in Sub-Sahara Africa: A Detailed Examination of Botswana, Swaziland, South Africa and Uganda
Kathy Rowell, Sinclair Community College
This module is intended to introduce students to one of the greatest social problems to face this planet, the global epidemic of HIV/AIDS and to increase their computer and research skills within sociology.

Poverty in the United States
Joan Spade, SUNY- Brockport
In addition to a quantitative analysis that involves univariate, bivariate, and multivariate analysis, this module reinforces research terms introduced in Intro to Sociology (independent, dependent and control variables and includes the opportunity to discuss sample vs. population (in the comparison of national poverty data vs. the poverty rate in the sample) and value vs. variable (poverty as a value and a variable and the recoding of the values in the household data). The module also uses the Census website to define the concept "poverty threshold" and look at trends in poverty.

Florida Cities and Metro Areas
Jim Wright, University of Central Florida
In addition to the raw data files that you analyzed in Module One, the US Census makes a great deal of information about cities (and everything else) available through its various publications. Our learning objective in Module Two is to familiarize students with these data resources and their contents by retrieving information on various Florida cities and metropolitan areas.

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