Quantitative Skillsshowing only Probability and Statistics Show all Quantitative Skills
Quantitative Skills Show all Quantitative Skills
New Pedagogic Methods
Pedagogy: Teaching with Data
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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 ...
Is There a Trend in Hurricane Number or Intensity?
Todd Ellis, SUNY College at Oneonta
This lab guides students through an examination of the hurricane record to determine if there is a trend in hurricane intensity over the past 40 years and introduces some issues related to statistics and ...
Sun Spot Analysis
Bob Mackay, Clark College; Mike Clark
Introductory students use Excel to graph monthly mean Greenwich sunspot numbers from 1749 to 2004 and perform a spectral analysis of the data using the free software program "Spectra". -
Using Mass Balance to Understand Atmospheric CFCs
Bob Mackay, Clark College
Students use an interactive online mass balance model help understand the observed levels of chlorofluorocarbon CFC-12 over the recent past. -
Teenage Pregnancy in the United States 1950-1990 : Analysis Using Census Data and Contingency Tables
This social science lab exercise uses Census data to examine teenage pregnancy in the United States over time and by socio-demographic variables. Students will learn how to access and interpre data as well as begin to think sociologically about teen pregnancy patterns and risk factors.
Analysis of Occupational Change Data, 1950-1990
Jim Jones, Mississippi State University
In this three-part module, students develop a practical understanding of the sociological imagination through data analysis. Students will investigate how social events between 1950 and 1990 led to changes in occupation.
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
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.
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.
Building an Electoral Dataset and Testing Hypotheses with the Data
Undergraduate student project for building datasets and analyzing the electoral, party system, and mass behavioral characteristics for a set of countries.
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 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.
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.
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.
Examining Prosocial Behavior Quantitatively: An Activity for Introductory Psychology Students
Kenneth Abrams, Carleton College
For this psychology project, students in small groups will design and execute a study on helping behavior and then analyze and interpret the results.
Analyzing Data on American Political Divisions
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.
Visualizing Social Justice in South Seattle: Data Analysis, Race, and The Duwamish River Basin
Eunice Blavascunas, University of Washington
We examine the factors of race and environmental contamination, starting from the premise (and data proving) that race is not a biological, scientifically valid category, but a social, historical construction with real world consequences for equal access to health, resources, and power.