Dataset Containing 173 College Common Data Sets

Contains Common Data Sets for the Following Schools:

• Alabama State University
• Angelo State University
• Arapahoe Community College
• Arkansas Tech University
• Aurora University
• Baldwin Wallace University
• Beloit College
• Bemidji State University
• Berea College
• Binghamton University
• Boston University
• Bucknell University
• Cabrini University
• California Baptist University
• California State University, Bakersfield
• California State University, Long Beach
• California State University, Los Angeles
• California State University, Sacramento
• Carnegie Mellon University
• Case Western Reserve University
• Christopher Newport University
• Clark University
• Colby College
• College of Charleston
• Collin College
• Colorado College
• Colorado School of Mines
• Colorado State University-Pueblo
• Columbia College
• Concordia University Texas
• Cornell University
• Davidson College
• Delaware Technical Community College
• DeSales University
• Dickinson College
• Drake University
• Drew University
• Duquesne University
• East Central University
• Eastern Washington University
• Embry Riddle Aeronautical University-Daytona Beach
• Fairfield University
• Florida Gulf Coast
• Florida International University
• Fort Hays State University
• Georgia Institute Of Technology
• Gettysburg College
• Hamilton College
• Hollins University
• Humboldt State University
• Iowa State University
• Jackson State University
• John Jay College of Criminal Justice
• Kennesaw State University
• Lafayette College
• Lane College
• Lee University
• Le Moyne College
• Lenoir Rhyne University
• Life University
• Loyola University Maryland
• Lubbock Christian University
• Lycoming College
• Lynn University Common Data Set
• Malone University
• Marlboro College
• Maryville University
• Massachusetts Maritime Academy
• Metropolitan State University of Denver
• Michigan Technological University
• Middlebury College
• Millersville University
• Mississippi State University
• Mott Community College
• Neumann University
• Northeastern State University
• Northern Arizona University
• Northern Kentucky University
• Nyack College
• Oklahoma Christian University
• Oklahoma State University
• Old Dominion University
• Oral Roberts University
• Pepperdine University
• Pomona College
• Prescott College
• Providence College
• Reed College
• Regis University
• Rensselaer Polytechnic Institute
• Rice University
• Rochester College
• Rutgers University
• Saint Vincent College
• San Francisco State University
• Santa Clara University
• Scripps College
• Seton Hill University
• Sewanee
• Shippensburg University
• Simpson University
• Slippery Rock University
• Smith College
• Sonoma State University
• Southeastern Community College
• Southeastern Oklahoma State University
• Southwestern Oklahoma State University
• Springfield College
• St. Ambrose University
• Stanford University
• Stephen F. Austin State University
• SUNY Oneonta
• SUNY Potsdam
• Sweet Briar College
• Taylor University
• Temple University
• Tennessee Wesleyan University
• Texas A&M University - Kingsville
• Texas A&M University
• Texas Wesleyan University
• The College at Brockport
• The College of New Jersey
• The University of Scranton
• The University of Southern Mississippi
• The University of Tennessee
• Trinity University
• Tufts University
• Tulane University
• Tulsa Community College
• University at Buffalo
• University Enrollment
• University of California - Davis
• University of California, Riverside
• University of Colorado Boulder, 2015
• University of Delaware
• University of Kentucky
• University of Louisville
• University of Maine
• University of Missouri
• University of Montana
• University of Mount Olive: 2016
• University of Nebraska Kearney
• University of Nebraska-Lincoln
• University of Nevada, Reno
• University of New Hampshire
• University of New Mexico
• University of North Alabama
• University of North Carolina at Charlotte
• University of Pennsylvania
• University of Pikeville
• University of Puget Sound
• University of Science and Arts
• University of Texas Rio
• University of the Sciences in Philadelphia
• University of Wisconsin
• University Wide Common Data Set 2015
• Villanova University
• Virginia Commonwealth University
• Washburn University
• Washington and Lee University
• Washington College
• Weber State University
• Wellesley College
• Wesleyan University
• Westfield State University
• Westminster College
• Wheaton College
• Whitman College
• Widener University
• Worcester Polytechnic Institute
• Xavier University of Louisiana
• Xavier University
• Yale University

The primary purpose of this project is to provide a listing of all local agencies providing free public elementary and secondary education in the United States and its outlying areas (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands) for 1980-1981. It permits the educational community to draw statistically valid samples from which state or national estimates can be made and also provides a mailing list of school systems. Significant variables include name, address, county, grade span, size of system, number of schools, and standard metropolitan statistical area (SMSA) designation.

The Institutional Data Archive on American Higher Education (IDA) contains academic data on 384 four-year colleges and universities in the United States. The IDA is one of two databases produced by the Colleges and Universities 2000 project based at the University of California, Riverside. This release, the third compilation of the IDA, is updated through academic year 2010-2011, and includes longitudinal and cross-sectional data from multiple sources. The collection is organized into nine datasets based on the unit of analysis and whether identifiers linking the data to particular institutions are present; seven of the datasets can be linked by a common identifier variable (PROJ_ID), and two cannot be linked due to confidentiality agreements. The seven identifiable datasets contain information on institutions, university systems, programs and academic departments, earned degrees, graduate schools, medical schools, and institutional academic rankings over time. Data regarding student enrollments, average SAT and ACT scores, and tuition and fees has been recorded, as well as institutional information concerning libraries, research activity, revenue and expenditures, faculty salaries, and quality rankings for program faculty. The identifiable datasets also include census information for neighborhoods surrounding IDA colleges and universities. The two non-identifiable datasets contain confidential survey responses from IDA institution presidents, chancellors, provosts, and academic vice presidents; survey questions pertained to governance structures, institutional goals and achievements, and solicited opinions on current and future issues facing the respondent's institution and higher education in general.

These data and/or computer programs are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the INVESTIGATOR(S) if further information is desired.

This dataset contains records for each public elementary and secondary school in the 50 states, the District of Columbia, and outlying areas (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands) for 1984-1985. Data were reported to the National Center for Education Statistics by the state education agencies. Records in this file provide the name and address of the school, name of the school district or other education agency that operates the school, type code for the school, number of full-time equivalent classroom teachers, and the fall membership/enrollment.

It is commonly accepted that across virtually every context people disagree with one another. In this data, we show that people might also disagree with themselves. Using seven decision-making contexts ranging in complexity and familiarity we show that a nationally representative sample (n = 1,874) of people made choices that were inconsistent across two complimentary methods of eliciting preferences. We show that on average, individuals demonstrate higher levels of internal consistency, which we define as the level of agreement between their choices and stated priorities, when decisions are simple and straightforward. However, internal consistency declines when people are confronted with unfamiliar or complex decision contexts. Our results support a theory of basic values over articulated values, which suggests that people have well-established preferences for only the most common decisions. Moreover, providing additional and salient contextual information about alternatives, such as brand names, model information or the specific processes behind alternative strategies, results in significantly lower levels of consistency when compared to situations where this information is withheld. This finding suggests that people may rely on simplifying heuristics when choosing between familiar alternatives; however, this kind of information is less influential when decision contexts, and the alternatives themselves, are complex or unfamiliar. Importantly, we show that higher levels of education also have a significant and positive association with the consistency of people’s choices.

Data for "Finding Common Ground" In Reconsidering Parties (eds. Christopher Karpowitz and Jeremy Pope), University of Michigan Press, forthcoming.

This dataset contains records for each public elementary and secondary education agency in the 50 states, District of Columbia, and United States territories (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands), as reported to the National Center for Education Statistics by the state education agencies. Each record provides state and federal identification numbers, agency's name, address, and telephone number, county name and FIPS code, agency type code, supervisory union number, grade span, number of schools operated by the agency, counts of students in selected categories of residency, and other codes for selected characteristics of the agency.

Distribution of rodents in northern Michigan documented by Dr. Phil Myers, et al. We use museum and other collection records to document large and extraordinarily rapid changes in the ranges and relative abundance of 9 species of mammals in the northern Great Lakes region (white-footed mice, woodland deer mice, southern red-backed voles, woodland jumping mice, eastern chipmunks, least chipmunks, southern flying squirrels, northern flying squirrels, common opossums). These species reach either the southern or the northern limit of their distributions in this region. Changes consistently reflect increases in species of primarily southern distribution (white-footed mice, eastern chipmunks, southern flying squirrels, common opossums) and declines by northern species (woodland deer mice, southern red-backed voles, woodland jumping mice, least chipmunks, northern flying squirrels). White-footed mice and southern flying squirrels have extended their ranges over 225 km since 1980, and at particularly well-studied sites in Michigan's Upper Peninsula, small mammal assemblages have shifted from numerical domination by northern species to domination by southern species. Repeated re-sampling at some sites suggests that southern species are replacing northern ones rather than simply being added to the fauna. Observed changes are consistent with predictions from climatic warming but not with predictions based on recovery from logging or changes in human populations. Because of the abundance of these focal species (the 8 rodent species make up 96.5% of capture records of all forest-dwelling rodents in the region and 70% of capture records of all forest-dwelling small mammals) and the dominating ecological roles they play, these changes substantially affect the composition and structure of forest communities. They also provide an unusually clear example of change that is likely to be the result of climatic warming in communities that are experienced by large numbers of people.

The National Public Education Financial Survey is an annual state-level collection of revenues and expenditures for public education, grades prekindergarten through 12. Revenues and expenditures are audited after the close of the fiscal year and are then submitted to the National Center for Education Statistics by each state education agency. Variables include local revenue sources such as property taxes, tuition, and fees, intermediate and state revenues, federal sources of income, and other sources of revenue. Expenditure categories reported on include instructional expenditures (salaries and benefits, supplies, and services), support services expenditures (for staff, students, and administration), noninstructional services (such as food service), direct program support, facilities acquisition, construction services, community services, direct cost programs, and exclusions from current expenditures. The average daily attendance is also provided.

The primary purpose of the State Nonfiscal Survey is to provide basic information on public elementary and secondary school students and staff for each of the 50 states, the District of Columbia, and outlying territories (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands). The database provides the following information on students and staff: general information (name, address, and telephone number of the state education agency), staffing information (number of FTEs on the instructional staff, guidance counselor staff, library staff, support staff, and administrative staff), and student information (membership counts by grade, counts of high school completers, counts of high school completers by racial/ethnic breakouts, and breakouts for dropouts by grade, sex, race).

This study examined the role of worry and risk perception on action taken to prevent medical errors. The research used psychometric scaling methods to produce 11 different measures on which patients judged perceived risk. All participants completed a two-part questionnaire, where the parts were completed in random order based upon eight versions of the questionnaire. Part 1 of the questionnaire examined whether worry was associated with fatality estimates of various causes of death including medical errors. Participants were given as a guide the number of deaths per year in the United States of a less common cause of death (appendicitis), or a more common cause of death (kidney disease). Respondents were then asked to estimate the number of deaths due to other health conditions and diseases based upon the guides they had been given. They were then asked how worried or concerned they were about each cause of death. In Part 2 of the questionnaire participants rated how likely they were to take different actions to prevent medical errors, and then evaluated specific medical errors a patient could experience in the hospital on different measures of risk. Participants also rated behavioral intention items and an item pertaining to government regulation. Finally, participants responded to a number of items assessing their reactivity to negative events. Demographic information includes age, marital status, gender, race, exposure to and knowledge of medical errors, current health status, education, hospital stay information, number of children living in the home, and three scale variables, the Behavioral Inhibition scale, Extraversion scale, and Stability scale.

The Veterans Metrics Initiative Transitioning Veterans Survey was designed to examine well-being as veterans transition from military to civilian life for three years from 2016 to 2019, and identify the use of transition and reintegration programs. The study aims are to: Document veteran well-being in four key domains--vocation, finances, mental and physical health, and social relationships--over the first three years of the transition from military to civilian life. Describe programs that are used by veterans as they reintegrate into civilian life, distill them into their components, and identify common components across programs. Examine the link between common program components and veteran well-being, and between program components and veteran characteristics or subgroups. The study is administratively directed by the Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. (HJF).

This dataset contains records for each public secondary and elementary education agency in the United States and its outlying areas (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands) for 1985-1986. Reporting agencies serve instructional levels from pre-kindergarten through grade 12, or the equivalent span of instruction in ungraded or special education districts. Regional Educational Service Agencies, supervisory unions, and county superintendents are also represented. Variables include state and federal ID numbers, agency name, address, city, and ZIP code, FIPS county and out-of-state indicators, instructional operating status, agency type, grade span, metropolitan statistical area (MSA) ID and status, and board of control selection code.

This data collection contains data on students and staffing of local education agencies (LEA). Included are counts of the number of schools, students, teachers, instructional aides, and other staff for public school districts in each of the 50 states, the District of Columbia, and outlying territories (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands). Data for teachers, aides, and, where possible, other staff are in full-time equivalents (FTEs).

This data collection examines the attitudes of Michigan members of Common Cause, the American Civil Liberties Union, the League of Women Voters, and the Conservative Caucus. The data file is comprised of four components, one for each public interest group -- thus, each respondent may have up to four records one for each interest group. Each component contains the same 29 variables. Respondents were queried regarding their reasons for joining the organizations, level of activism, level of satisfaction with the group, plans for membership renewal, knowledge of the group's issues, and extent of involvement in organizational issues. Gender, age, education, and occupation of the members are also included in the data.

This study developed interval-level measurement scales for evaluating police officer performance during real or simulated deadly force situations. Through a two-day concept mapping focus group, statements were identified to describe two sets of dynamics: the difficulty (D) of a deadly force situation and the performance (P) of a police officer in that situation. These statements were then operationalized into measurable Likert-scale items that were scored by 291 use of force instructors from more than 100 agencies across the United States using an online survey instrument. The dataset resulting from this process contains a total of 685 variables, comprised of 312 difficulty statement items, 278 performance statement items, and 94 variables that measure the demographic characteristics of the scorers.

The purpose of the Common Sense Census is to gather reliable data about media use of young American children (ages 0-8), and document how children's media environments and behaviors change over time. This data was gathered from large-scale, nationally representative, probability-based online surveys taken in 2013 and 2017. Parents of children ages 0 to 8 answered questions about the activities or content their children enjoy (e.g., watching videos, reading), their home media environment (e.g., which devices they have), attitudes towards their children's media and media use, and awareness of the American Academy of Pediatrics (AAP) recommendations. Demographic information includes the child's age, household income, parent education, race/ethnicity, gender, household size, and parent/caregiver employment status.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data. This collection includes variable-level metadata of the 2013 poll Health Education Survey, a survey from National Public Radio/Robert Wood Johnson Foundation/Harvard School of Public Health conducted by Social Science Research Solutions (SSRS). Topics covered in this survey include: Grade child enrolled inLocation of child's schoolEnrollment totalGiving grade to child's schoolBiggest problem at schoolEmphasis on various subjectsSchool teaching same values as home valuesSchool obligations interfering with family timeKnowledge about common coreCommon core improving educationMethod of learning about common coreSuccess of common coreSchool preparing students for careersAttending technicalVocational classesPreparing students for collegePreparing students for job marketStudent plans after high schoolCollege or career planning servicesHealthiness of school lunchesFoods available at schoolLength of school lunchTime of lunch periodVending machines at schoolFast-food chains at schoolPhysical education as mandatoryFrequency of PE classesLength of PE classesPE classes for other purposesRating PE school offeringsPlaygrounds available after schoolRecess as structured or free timeSchool safetySecurity precautions at schoolWays of preventing violence at schoolIncreasing security after Newtown shootingMethod of transport to schoolTime to get home from schoolSafety of travelling to schoolSchool related stressSchool counseling for stressed studentsTime of school dayThe data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092359]. Frequencies and summary statistics for the 148 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.