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Showing 1 to 15 of 103 data sets matching RESEARCH
Data Set/Description Owner Last edited Size Views
US Workforce Participation
This data primarily comes from two sources: Federal Reserve Bank of St. Louis and the US Bureau of Labor Statistics .
ColumnDescription
YearThe calendar year for each value
Annual Average Workforce ParticipationDefined by the Bureau of Labor Statistics as "the percentage of the population [16 years and older] that is either employed or unemployed (that is, either working or actively seeking work). Note that 2015's Annual Average is calculated using the first 11 months."
Male Workforce Participation RateAnnual workforce participation rate for males.
Female Workforce Participation RateAnnual workforce participation rate for females.
Male Inactivity Rate Aged 25-54Defined as the proportion of the male population aged 25-54 that is not in the labour force. Common reasons for leaving labour force: college, retirement, stay at home, can't find work and no longer try.
Change in Rate (Male Inactivity Rate Aged 25-54)The change in the inactivity rate calculated as the current year minus the previous year.
Female Inactivity Rate Aged 25-54Defined as the proportion of the female population aged 25-54 that is not in the labour force.
Change in Rate (Female Inactivity Rate Aged 25-54)The change in the inactivity rate calculated as the current year minus the previous year.
Presidential ControlPolitical party of president.
Senate ControlPolitical party of the Senate majority
House ControlPolitical party of the House of Representatives majority.
Legislative Branch (House and Senate)Combined control of Senate and House of Representativs
statcrunch_featuredJun 27, 201710KB2194
Median sales price vs Median rent for housing in 50 cities
This data is obtained from Zillow and includes the median sales price and the median price for to rent a home in 50 cities, as of July 2018, taken from https://www.zillow.com/research/local-market-reports/ This will be an excellent data set to use to introduce correlation and regression. Can we predict the median rent in a city based on the median price of homes sold in the city? It is also a good example to discuss the effect of outliers.
rosenthiSep 11, 20181KB496
USDA Nutrition Data
This dataset has the nutritional values per serving size for a large variety of foods as calculated by the USDA.

US Department of Agriculture, Agricultural Research Service, Nutrient Data Laboratory. USDA National Nutrient Database for Standard Reference, Release 28. Version Current: September 2015. Internet: http://www.ars.usda.gov/nea/bhnrc/ndl
statcrunchhelpJan 13, 2016832KB1590
Times World University Rankings (2011-2016)
This data comes from the annual Times magazine rankings of universities across the world. The webpage for the Times 2016 rankings is listed above in the source.
The formula for the 2016 rankings is as follows:
30% for Teaching Rating
7.5% for International Outlook Rating
30% for Research Rating
30% for Citations Rating
2.5% for Industry Income Rating.
The “Total Score” from 2016 can be recreated using this formula.

ColumnDescription
World_RankUniversity rank for a given year
University_NameThe name of the university
CountryLocation of university
Teaching_Rating Rating from a 0-100 scale of the quality of teaching at the university. This rating is based on the institution’s reputation for teaching, it’s student/staff ratio, it’s PhD’s/ undergraduate degrees awarded ratio, and it’s institutional income/ academic staff ratio.
Inter_Outlook_Rating Rating from a 0-100 scale of the international makeup of a university. This rating is based the international student percentage, international staff percentage, and the percentage of research papers from the university that include at least one international author.
Research_Rating Rating from a 0-100 scale of quality of research at the university. This rating is based on the university’s reputation, it’s research income/ academic staff ratio, and it’s production of scholarly papers.
Citations_Rating Rating from a 0-100 scale of based on the normalized average of citations by other papers per paper from the university (how often the research from the university is cited by other papers).
Industry_Income_Rating Rating from a 0-100 scale grading how much companies are willing to invest in the universities research. The rating is calculated based on the research income from businesses per academic staff member.
Total_ScoreThe final score used to determine the university ranking based on Teaching_Rating, International_Outlook_Rating, Research_Rating, Citations_Rating, and Industrial_Income_Rating.
Num_StudentsTotal number of students in a given year
Student/Staff_RatioNumber of students per academic staff member
%_Inter_StudentsPercentage of student body who come from a foreign county
%_Female_Students Percentage of student body that is female.
YearAcademic year that the ranking was released. For example, 2016 denotes the 2015-2016 academic year.
statcrunchhelpApr 5, 2016254KB3696
CollegeCompletion.csv
College Completion Data TABLE 1: cc_institution_details ------------------------------- unitid - Department of Education Unit ID number chronname - Institution name city - Institution city state - Institution state level - Level of institution (4-year, 2-year) control - Control of institution (Public, Private not-for-profit, Private for-profit) basic - Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version) student_count - Total number of undergraduates in 2010 awards_per_value - Completions per 100 FTE undergraduate students (average 2011, 2012, and 2013) awards_per_state_value - Completions per 100 FTE undergraduate students, state and sector average awards_per_natl_value - Completions per 100 FTE undergraduate students, national sector average exp_award_value - Estimated educational spending (expenses related to instruction, research, public service, student services, academic support, institutional support, operations and maintenance) per academic award in 2013. Includes all certificates and degrees exp_award_state_value - Spending per completion, state and sector average exp_award_natl_value - Spending per completion, national sector average ft_pct - Percentage of undergraduates who attend full-time fte_value - total number of full-time equivalent undergraduates med_sat_value - Median estimated SAT value for incoming students med_sat_percentile - Institution's percent rank for median SAT value within sector aid_value - The average amount of student aid going to undergraduate recipients aid_percentile - Institution's percent rank for average amount of student aid going to undergraduate recipients within sector endow_value - End-of-year endowment value per full-time equivalent student endow_percentile - Institution's percent rank for endowment value per full-time equivalent student within sector grad_100_value - percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions) grad_100_percentile - Institution's percent rank for completers within 100 percent of normal time within sector grad_150_value - percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions) grad_150_percentile - Institution's percent rank for completers within 150 percent of normal time within sector pell_value - percentage of undergraduates receiving a Pell Grant pell_percentile - Institution's percent rank for undergraduate Pell recipients within sector retain_value - share of freshman students retained for a second year retain_percentile - Institution's percent rank for freshman retention percentage within sector ft_fac_value - Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school ft_fac_percentile - Institution's percent rank for full-time faculty share within sector vsa_year - Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability vsa_grad_after4_first - First-time, full-time students who graduated from this institution within four years vsa_grad_elsewhere_after4_first - First-time, full-time students who graduated from another institution within four years vsa_enroll_after4_first - First-time, full-time students who are still enrolled at this institution after four years vsa_enroll_elsewhere_after4_first - First-time, full-time students who are enrolled at another institution after four years vsa_grad_after6_first - First-time, full-time students who graduated from this institution within six years vsa_grad_elsewhere_after6_first - First-time, full-time students who graduated from another institution within six years vsa_enroll_after6_first - First-time, full-time students who are still enrolled at this institution after six years vsa_enroll_elsewhere_after6_first - First-time, full-time students who are enrolled at another institution after six years vsa_grad_after4_transfer - Full-time transfer students who graduated from this institution within four years vsa_grad_elsewhere_after4_transfer - Full-time transfer students who graduated from another institution within four years vsa_enroll_after4_transfer - Full-time transfer students who are still enrolled at this institution after four years vsa_enroll_elsewhere_after4_transfer - Full-time transfer students who are enrolled at another institution after four years vsa_grad_after6_transfer - Full-time transfer students who graduated from this institution within six years vsa_grad_elsewhere_after6_transfer - Full-time transfer students who graduated from another institution within six years vsa_enroll_after6_transfer - Full-time transfer students who are still enrolled at this institution after six years vsa_enroll_elsewhere_after6_transfer - Full-time transfer students who are enrolled at another institution after six years counted_pct - share entering undergraduate class who were first-time, full-time, degree-seeking students, meaning that they generally would be part of a tracked cohort of potential graduates. The entering class of 2007 is displayed for 4-year institutions; 2010 for 2-year institutions.
msullivan13803Feb 3, 20172MB932
Treatment Effects of a Drug on Cognitive Functioning in Children with Mental Retardation and ADHD
Research conducted by: Pearson et al. Case study prepared by: David Lane and Emily Zitek Overview This study investigated the cognitive effects of stimulant medication in children with mental retardation and Attention-Deficit/Hyperactivity Disorder. This case study shows the data for the Delay of Gratification (DOG) task. Children were given various dosages of a drug, methylphenidate (MPH) and then completed this task as part of a larger battery of tests. The order of doses was counterbalanced so that each dose appeared equally often in each position. For example, six children received the lowest dose first, six received it second, etc. The children were on each dose one week before testing. This task, adapted from the preschool delay task of the Gordon Diagnostic System (Gordon, 1983), measures the ability to suppress or delay impulsive behavioral responses. Children were told that a star would appear on the computer screen if they waited long enough to press a response key. If a child responded sooner in less than four seconds after their previous response, they did not earn a star, and the 4-second counter restarted. The DOG differentiates children with and without ADHD of normal intelligence (e.g., Mayes et al., 2001), and is sensitive to MPH treatment in these children (Hall & Kataria, 1992). Questions to Answer Does higher dosage lead to higher cognitive performance (measured by the number of correct responses to the DOG task)? Design Issues This is a repeated-measures design because each participant performed the task after each dosage. Variable Description Placebo: Number of correct responses after taking a placebo d15 Number of correct responses after taking .15 mg/kg of the drug d30 Number of correct responses after taking .30 mg/kg of the drug d60 Number of correct responses after taking .60 mg/kg of the drug
kari.taylorOct 22, 2014434B1387
Salary
Salary The sources are found from Gallaudet's website (https://www.gallaudet.edu/office_of_academic_quality/institutional_research/alumni_survey.html).
susannahenderson1Feb 4, 2014291B1103
Cigarette Consumption vs CHD Mortality
Now that cigarette smoking has been clearly tied to lung cancer, researchers are focusing on possible links to other diseases. The data below show annual rates of cigarette consumption and deaths from coronary heart disease for several nations. Some public health officials are urging that the US adopt a national goal of cutting cigarette consumption in half over the next decade. Examine these data and write a report. In your report you should: 1. Include appropriate graphs (e.g. scatterplot, residual plot) and statistics (e.g. mean and SD); 2. Describe the association between cigarette smoking and coronary heart disease; 3. Create a linear model; 4. Evaluate the strength and appropriateness of your model; 5. Interpret the slope and y-intercept of the line; 6. Use your model to estimate the potential benefits of reaching the national goal proposed for the US. That is, based on your linear model, if the US were to cut its cigarette consumption in half (from 3900 to 1950), what does the linear model predict would happen to the CHD rate. 7. You should use Statcrunch to generate nice looking graphs and output as needed. Be sure to size them appropriately. No need for a 8x10 scatterplot; Make your graphs about 3x3. You should scale them in Statcrunch first, then copy and paste into Word.
smcdaniel04Sep 29, 2011267B5310
gss2008-short.xls
The General Social Survey (GSS) conducts basic scientific research on the structure and development of American society with a data-collection program designed to both monitor social change within the United States and to compare the United States to other nations. The GSS data sets contain a standard ‘core’ of demographic and attitudinal questions, plus topics of special interest, representing the population of American adults, 18 years of age or older. More information about the GSS and its original data sets can be found at http://www.norc.org/GSS+Website/. This is part 1 of the original data.
bwachsmuth1Oct 9, 20121MB860
Project Data
This data encompasses the results of surveying 50 of my women friends, who exercise regularly, in order to determine the average resting heart-rate of females who exercise regularly. I define exercising "regularly" as doing a set aside workout of at least 20 minutes, at least 4 times a week. For my research I stayed within an age group range of females ages 18-22 years old.
jjindrich0127Jul 15, 20101KB1945
Word Counts by Males and Females Lab 2
Word counts during conversation of Men vs. Women to answer the research question: "Are Women Really More Talkative than Men?"
bdodson94Oct 26, 20174KB886
Jealousy file.xlsx
Do men and women differ in jealousy about their romantic partners? Research by Buss, Larsen, Westen, and Semmelroth (Exp. 1, 1992) suggested that the answer is yes. In that study, heterosexual men and women in the United States imagined their romantic partners engaged in emotional or sexual affairs with another person, and then indicated which scenario would be more upsetting to them. Men reported being more distressed when imagining their partners involved in sexual infidelity, whereas women were more distressed when they imagined their partners involved in emotional infidelity. Buss et al. concluded that their findings supported their hypotheses, which were derived from evolutionary theory. Subsequent research either supported the Buss et al. (1992) findings or found limitations to their conclusions (Harris, 2003). For example, although Buss et al. used a forced-choice method in their study (e.g., “Which of these two scenarios is more upsetting?”), others have not found such clear sex differences when rating scales are used instead (DeSteno, Bartlett, Braverman, & Salvoes, 2002). In addition, cultural differences have also been found. For example, European and Asian men are more likely to choose emotional infidelity as worse, compared to American men (Harris, 2004). The purpose of this study was to see if (a) we would replicate the original Buss et al. (1992) findings using an Australian sample in 2015, and (b) whether asking participants to rate their feelings would reveal the same sex differences that were reported in the original work. We therefore had separate hypotheses regarding the differences between men and women with respect to emotional infidelity and sexual infidelity.
e.vanmanMay 7, 20177KB980
US Workforce Participation
This data primarily comes from two sources: Federal Reserve Bank of St. Louis and the US Bureau of Labor Statistics .
ColumnDescription
YearThe calendar year for each value
Annual Average Workforce ParticipationDefined by the Bureau of Labor Statistics as "the percentage of the population [16 years and older] that is either employed or unemployed (that is, either working or actively seeking work). Note that 2015's Annual Average is calculated using the first 11 months."
Male Workforce Participation RateAnnual workforce participation rate for males.
Female Workforce Participation RateAnnual workforce participation rate for females.
Male Inactivity Rate Aged 25-54Defined as the proportion of the male population aged 25-54 that is not in the labour force. Common reasons for leaving labour force: college, retirement, stay at home, can't find work and no longer try.
Change in Rate (Male Inactivity Rate Aged 25-54)The change in the inactivity rate calculated as the current year minus the previous year.
Female Inactivity Rate Aged 25-54Defined as the proportion of the female population aged 25-54 that is not in the labour force.
Change in Rate (Female Inactivity Rate Aged 25-54)The change in the inactivity rate calculated as the current year minus the previous year.
Presidential ControlPolitical party of president.
Senate ControlPolitical party of the Senate majority
House ControlPolitical party of the House of Representatives majority.
Legislative Branch (House and Senate)Combined control of Senate and House of Representativs
statcrunchhelpJan 7, 201610KB742
MTH 157 Project
Previous studies have shown that urban bus drivers have an extremely stressful job, and a large proportion of drivers retire prematurely with disabilities due to occupational stress. These stresses come from a combination of physical and social sources such as traffic congestion, incessant time pressure, and unruly passengers. In the paper, “Hassles on the Job: A Study of a Job Intervention with Urban Bus Drivers” (Journal of Organizational Behavior, Vol. 20, pp. 199 – 208), G. Evans et al. examined the effects of an intervention program to improve the conditions of urban bus drivers. Among other variables, the researchers monitored diastolic blood pressure of bus drivers in downtown Stockholm, Sweden. The data, in millimeters of mercury (mm Hg), are based on the blood pressures obtained prior to intervention for the 41 bus drivers in the study.
apr2575Dec 15, 2014150B752
gss2008-short-2.xls
The General Social Survey (GSS) conducts basic scientific research on the structure and development of American society with a data-collection program designed to both monitor social change within the United States and to compare the United States to other nations. The GSS data sets contain a standard ‘core’ of demographic and attitudinal questions, plus topics of special interest, representing the population of American adults, 18 years of age or older. More information about the GSS and its original data sets can be found at http://www.norc.org/GSS+Website/. This is part 2 of the original data.
bwachsmuth1Oct 9, 2012935KB612

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