Examples Used in the Text
- Page ID
- 59345
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\(\newcommand{\avec}{\mathbf a}\) \(\newcommand{\bvec}{\mathbf b}\) \(\newcommand{\cvec}{\mathbf c}\) \(\newcommand{\dvec}{\mathbf d}\) \(\newcommand{\dtil}{\widetilde{\mathbf d}}\) \(\newcommand{\evec}{\mathbf e}\) \(\newcommand{\fvec}{\mathbf f}\) \(\newcommand{\nvec}{\mathbf n}\) \(\newcommand{\pvec}{\mathbf p}\) \(\newcommand{\qvec}{\mathbf q}\) \(\newcommand{\svec}{\mathbf s}\) \(\newcommand{\tvec}{\mathbf t}\) \(\newcommand{\uvec}{\mathbf u}\) \(\newcommand{\vvec}{\mathbf v}\) \(\newcommand{\wvec}{\mathbf w}\) \(\newcommand{\xvec}{\mathbf x}\) \(\newcommand{\yvec}{\mathbf y}\) \(\newcommand{\zvec}{\mathbf z}\) \(\newcommand{\rvec}{\mathbf r}\) \(\newcommand{\mvec}{\mathbf m}\) \(\newcommand{\zerovec}{\mathbf 0}\) \(\newcommand{\onevec}{\mathbf 1}\) \(\newcommand{\real}{\mathbb R}\) \(\newcommand{\twovec}[2]{\left[\begin{array}{r}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\ctwovec}[2]{\left[\begin{array}{c}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\threevec}[3]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\cthreevec}[3]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\fourvec}[4]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\cfourvec}[4]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\fivevec}[5]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\cfivevec}[5]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\mattwo}[4]{\left[\begin{array}{rr}#1 \amp #2 \\ #3 \amp #4 \\ \end{array}\right]}\) \(\newcommand{\laspan}[1]{\text{Span}\{#1\}}\) \(\newcommand{\bcal}{\cal B}\) \(\newcommand{\ccal}{\cal C}\) \(\newcommand{\scal}{\cal S}\) \(\newcommand{\wcal}{\cal W}\) \(\newcommand{\ecal}{\cal E}\) \(\newcommand{\coords}[2]{\left\{#1\right\}_{#2}}\) \(\newcommand{\gray}[1]{\color{gray}{#1}}\) \(\newcommand{\lgray}[1]{\color{lightgray}{#1}}\) \(\newcommand{\rank}{\operatorname{rank}}\) \(\newcommand{\row}{\text{Row}}\) \(\newcommand{\col}{\text{Col}}\) \(\renewcommand{\row}{\text{Row}}\) \(\newcommand{\nul}{\text{Nul}}\) \(\newcommand{\var}{\text{Var}}\) \(\newcommand{\corr}{\text{corr}}\) \(\newcommand{\len}[1]{\left|#1\right|}\) \(\newcommand{\bbar}{\overline{\bvec}}\) \(\newcommand{\bhat}{\widehat{\bvec}}\) \(\newcommand{\bperp}{\bvec^\perp}\) \(\newcommand{\xhat}{\widehat{\xvec}}\) \(\newcommand{\vhat}{\widehat{\vvec}}\) \(\newcommand{\uhat}{\widehat{\uvec}}\) \(\newcommand{\what}{\widehat{\wvec}}\) \(\newcommand{\Sighat}{\widehat{\Sigma}}\) \(\newcommand{\lt}{<}\) \(\newcommand{\gt}{>}\) \(\newcommand{\amp}{&}\) \(\definecolor{fillinmathshade}{gray}{0.9}\)- Artificial Intelligence in Music Education: Studies whether an AI chatbot is useful in enhancing the learning of students learning to play the piano. (1.4.10)
Li, P. Ping, and B. Wang. 2023. “Artificial Intelligence in Music Education.” International Journal of Human–Computer Interaction 40, no. 16, 4183–4192. https://doi.org/10.1080/10447318.2023.2209984
- Attitudes About Marital Rape: Considers the differences in attitudes about rape scenarios based on whether the attacker and the victim are in a marital relationship. (1.4.6, 5.4.2)
Ferro, Christine, Jill Cermele, and Ann Saltzman. 2008. “Current Perceptions of Marital Rape: Some Good and Not-So-Good News.” Journal of Interpersonal Violence 23, no. 6, 764–779. https://doi.org/10.1177/0886260507313947
- Customer Avoidance of Advertising on Social Media: A study that considers what factors might influence user to avoid advertising on social media.
Li, X., Z. Liu, Y. Chen, and A. Ren. 2025. “Consumer Avoidance Toward Message Stream Advertising on Mobile Social Media: A Stimulus-Organism-Response Perspective.” Information Technology and People 38, no. 1, 23–47. https://doi.org/10.1108/ITP-11-2020-0761
- Economic Uncertainty and Corruption: A study that considers how the economic conditions of a country might affect the rate of corruption. (1.4.2)
Gyimah-Brempong, K. 2002. “Corruption, Economic Growth, and Income Inequality in Africa.” Economics of Governance 3, 183–209. https://doi.org/10.1007/s101010200045
- Effect of the COVID Crisis: Studies the economic effect of the COVID pandemic for African Americans and Hispanic individuals. (1.4.5)
Gould, E., and V. Wilson. 2020. “Black Workers Face Two of the Most Lethal Preexisting Conditions for Coronavirus—Racism and Economic Inequality.” Economic Policy Institute. Retrieved from https://coilink.org/20.500.12592/5j5nvq on 04 Feb 2025. COI: 20.500.12592/5j5nvq.
- Effects of a New Special Formula Fertilizer on Potato Growth: Designed study that studies the yield and nutritional properties of potatoes grown using two specilized fertilizers. (3.7.4)
Xu, F., A. Meng, Y. Liu, J. Li, and N. Wu. 2025. “Effects of New Special Formula Fertilizer on Potato Growth, Yield, and Fertilizer Utilization Efficiency.” Plants 14, 627. https://doi.org/10.3390/plants140406
- Gender and COVID-19 Outcomes: This study considers whether there is a difference in outcomes from COVID-19 due to biological sex and gender identity (3.7.7)
Danielsen, Ann Caroline, Katharine M. Lee, Marion Boulicault, Tamara Rushovich, Annika Gompers, Amelia Tarrant, Meredith Reiches, Heather Shattuck-Heidorn, Luke Weisman Miratrix, and Sarah S. Richardson. 2022. “Sex Disparities in COVID-19 Outcomes in the United States: Quantifying and Contextualizing Variation.” Social Science and Medicine 294, 114716. https://doi.org/10.1016/j.socscimed.2022.114716
- Improving Web Searches: This study considers what user behaviors can be used to imply that a web search has been successful. (2.5.6)
Fox, Steve, Kuldeep Karnawat, Mark Mydland, Susan Dumais and Thomas White. 2005. “Evaluating Implicit Measures to Improve Web Search.” ACM Transactions on Information Systems 23, No. 2, 147–168. https://doi.org/10.1145/1059981.1059982
- Inequities in Employment During COVID-19: Considers how pre-existing inequalities in economic circumstances were exacerbated during the COVID-19 pandemic.
Gemelas, Jordan, Jenna Davison, Case Keltner, and Samantha Ing. 2022. “Inequities in Employment by Race, Ethnicity, and Sector During COVID-19.” Journal of Racial and Ethnic Health Disparities 9, no. 1, 350–355. https://doi.org/10.1007/s40615-021-00963-3
- Labor Market Discrimination: A designed experiment that showed that resumes that use names associated with the African American community are less likely to recieve callbacks than resumes that use names that are associated with the white community. (2.5.1, 3.7.1)
Bertrand, Marianne, and Sendhil Mullainathan. 2004. “Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment
on Labor Market Discrimination.” American Economic Review 94, no. 4, 991–1013. https://doi.org/10.1257/0002828042002561
- Land Cover and Racial Segregation: A study of how natural land cover such as trees varies based on racially segrgated neighborhoods.
Jesdale, Bill M., Rachel Morello-Frosch, and Lara Cushing. 2013. “The Racial/Ethnic Distribution of Heat Risk–Related Land Cover in Relation to Residential Segregation.” Environmental Health Perspectives 121, no. 7, 811–817. https://doi.org/10.1289/ehp.1205919
- Major League Baseball Pitch Clock: An analysis of baseball injury data to determine whether the pitch clock has increased injuries in pitchers. (1.4.9)
Puga, Troy, Nicholas Scigliano, McKenna Box, John Riehl. 2024. “The Major League Baseball Pitch Clock: First Year Analysis of Pitcher Injuries.” Journal of Orthopaedics 57, 133–136. https://doi.org/10.1016/j.jor.2024.06.022
- Performance After Surgery in Baseball Players: Considered whether MLB pitchers who had received ulnar collateral ligament (UCL) surgery return to pre-surgery performance after surgery. (2.5.3)
Mastroianni, Michael A., Jennifer A. Kunes, Dany B. El-Najjar, Kyle K. Obana, Sohil S. Desai, Cole R. Morrissette , Frank J. Alexander, Alexander J. Rondon, David P. Trofa, Charles A. Popkin, William N. Levine, Christopher S. Ahmad. 2025. “Return to Performance After Ulnar Collateral Ligament Surgery in Major League Baseball Pitchers.” The American Journal of Sports Medicine 53, no. 1, 104–114. https://doi.org/10.1177/03635465241289142
- Phone Use Policies in Schools in England: A study of whether restrictive school phone policies are associated with improved student health. (4.6.3)
Goodyear, Victoria A., Amie Randhawa, Péymane Adab, et al. 2025. "School Phone Policies and Their Association with Mental Wellbeing, Phone Use, and Social Media Use (SMART Schools): A Cross-Sectional Observational Study." The Lancet Regional Health–Europe 51, 101211. https://doi.org/10.1016/j.lanepe.2025.101211
- Product Placement in Movies: A study of how people reacted to consumer products being featured in movies. (1.4.4)
D’Astous, Alain, and Francis Chartier. 2000. “A Study of Factors Affecting Consumer Evaluations and Memory of Product Placements in Movies.” Journal of Current Issues and Research in Advertising 22, no. 2, 31–40. https://doi.org/10.1080/10641734.2000.10505106
- Race and Gender is Sentencing Disparity: An analysis of a collection of studies that consider differences between individuals sentenced for similar crimes based on race and gender. (1.4.8)
Lehmann Peter S. and Anna I. Gomez. 2022. “Racial, Ethnic, Gender, and Economic Sentencing Disparity.” In Handbook of Issues in Criminal Justice Reform in the United States, 127–142. Elizabeth Jeglic and Cynthia Calkins, Editors. Springer. https://doi.org/10.1007/978-3-030-77565-0_8
- Risk Factors for Homelessness: Studies adolescent factors for negative psychiatric outcomes in adulthood and links these factors to homelessness.
Herman, D. B., E. S. Susser, E. L. Struening, and B. L. Link. 1997. “Adverse Childhood Experiences: Are They Risk Factors for Adult Homelessness?” American Journal of Public Health 87, no. 2, 249–255. https://doi.org/10.2105/AJPH.87.2.249
- Same Sex Marraige Laws and Hate Crimes: Investigated whether advances in marriage equality have influenced criminal offenses against the LGBTQIA+ community. (2.5.2, 3.7.3)
Tankard, Margaret E., and Elizabeth Levy Paluck. 2017. “The Effect of a Supreme Court Decision Regarding Gay Marriage on Social Norms and Personal Attitudes.” Psychological Science 28, no. 9, 1334–1344. https://doi.org/10.1177/0956797617709594
- Same-Sex Marriage and LGBT Discrimination: Studies the effects of same-sex marriage legislation in the rate of hate crimes against individuals in the LGBTQ+ community (4.6.4)
Nikolaou, Dimitrios. 2022. “Same-Sex Marriage Laws, LGBT Hate Crimes, and Employment Discrimination Charges.” Southern Economic Journal 88, 869–905. https://doi.org/10.1002/soej.12548
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Sampling Animals in Populations: Studies the effects and inherent biases of sampling techniques when observing animal populations.
Biro, P. A. 2013. “Are Most Samples of Animals Systematically Biased? Consistent Individual Trait Differences Bias Samples Despite Random Sampling.” Oecologia 171, 339–345. https://doi.org/10.1007/s00442-012-2426-5
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Satisfaction with Sport Participation: A study of what factors may affect participation in sports. (5.4.3)
Lepir, D., and S. Lakić. 2025. “Correlates of Sport Satisfaction: The Role of Success Level, Personality Traits, and Emotional Competence in Team and Individual Sports.” Psihologija, 3 (online issue). https://doi.org/10.2298/PSI240723003L
- Severity of School Discipline: A study of the differences of the severity of school disciplinary actions taken against students with respect to race. (1.4.3)
Skiba, Russell J., Robert H. Horner, Choong-Geun Chung, M. Karega Rausch, Seth L. May, and Tary Tobin. 2011. “Race is Not Neutral: A National Investigation of African American and Latino Disproportionality in School Discipline.” School Psychology Review 40, no. 1, 85–107. https://doi.org/10.1080/02796015.2011.12087730
- Sexuality, Race and Suicide: This study, based on data from the National Violent Death Reporting System, studies the suicide rates of groups that traditionally suffer from discrimination. (1.4.7)
Alvarez-Hernandez, Luis R., and Orion Mowbray. 2022. “Trends in Suicide Among Lesbian, Gay, and Bisexual Hispanic Individuals: National Violent Death Reporting System Data from 2012-2016.” Journal of Homosexuality 70, no. 7, 1225–1239. https://doi.org/10.1080/00918369.2021.2018878
- Sleep and College Students: A study of whether economic incentives can be used to develop better sleep habits in college students (3.7.6)
Avery, Mallory, Osea Giuntella, and Peiran Jiao. 2025. "Why Don’t We Sleep Enough? A Field Experiment Among College Students." Review of Economics and Statistics 107, no. 1, 65-77. https://doi.org/10.1162/rest_a_01242
- Success Factors for Mobile Work in Health Care: A deductive study of what factors provide satisfaction to professional users of mobile health care applications. (2.5.5)
Chatterjee, S., S. Chakraborty, S. Sarker, S. Sarker, and F. Y. Lau. 2009. “Examining the Success Factors for Mobile Work in Healthcare: A Deductive Study.” Decision Support Systems 46, 620–633. https://doi.org/10.1016/j.dss.2008.11.003
- Supreme Court and Personal Atittudes: A designed study that considers how a possible Supreme Court ruling on same-sex marriage might affect personal attitudes and same-sex marriage. (2.5.4, 3.7.5)
Tankard, Margaret E., and Elizabeth Levy Paluck. 2016. “Norm Perception As a Vehicle for Social Change.” Social Issues and Policy Review 10, no. 1, 181–211. https://doi.org/10.1111/sipr.12022
- Thought and the Growth of Fungi Cultures: A study of whether thoughts can be used to slow the growth of fungi.
Barry, J. 1968. “General and Comparative Study of the Psychokinetic Effect on a Fungus Culture.” Journal of Parapsychology 32, 237–243. https://www.proquest.com/openview/e9...ar&cbl=1818062
- Tobacco Retailer Density: Examines the association between disparities in the density of tobacco retailers and the disparities in the prevalence of tobacco use among youth and adults (4.6.7)
Glasser, Allison M., Nathaniel Onnen, Peter F. Craigmile, Elli Schwartz, and Megan E. Roberts. 2022. “Associations Between Disparities in Tobacco Retailer Density and Disparities in Tobacco Use.” Preventive Medicine 154, 106910. https://doi.org/10.1016/j.ypmed.2021.106910
- Visual Exercise Environments and Treadmill Running: A designed study that considers how the visual and audio environment affects the performance and attitudes of runners during treadmill running exercises. (3.7.2)
Yeh, H.-P., J. A. Stone, S. M. Churchill, E. Bymer, and K. Davids. 2017. “Physical and Emotional Benefits of Different Exercise Environments Designed for Treadmill Running.” Environmental Research and Public Health 14, no. 7, 752. https://doi.org/10.3390/ijerph14070752
- Voter Engagement: A study of participation rates of voters broken down by demographic groups. (1.4.1)
Laurison, Daniel, Hana Brown, and Ankit Rastogi. 2021. “Voting Intersections: Race, Class, and Participation in Presidential Elections in the United States 2008–2016.” Sociological Perspectives 65, no. 4, 768–789. https://doi.org/10.1177/07311214211059136
- Young Women in the Justice System: A study of the opportunities perceived by young women who have been incarcerated for drug offenses. (4.6.2)
Myers, Randy. 2017. “‘I Accept That I Have Nobody’: Young Women, Youth Justice, and Expectations of Responsibility During Reentry.” Social Justice 44, no. 1, 62–82.

