100+ datasets found
  1. Longitudinal Study of American Youth, 1987-1994, 2007-2011, 2014-2017

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Jun 1, 2021
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    Longitudinal Study of American Youth, 1987-1994, 2007-2011, 2014-2017 [Dataset]. https://www.icpsr.umich.edu/web/ICPSR/studies/30263
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    r, ascii, delimited, sas, stata, spssAvailable download formats
    Dataset updated
    Jun 1, 2021
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Miller, Jon D.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/30263/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/30263/terms

    Time period covered
    1987 - 1994
    Area covered
    United States
    Description

    The Longitudinal Study of American Youth (LSAY) is a project that was funded by the National Science Foundation in 1985 and was designed to examine the development of: (1) student attitudes toward and achievement in science, (2) student attitudes toward and achievement in mathematics, and (3) student interest in and plans for a career in science, mathematics, or engineering, during middle school, high school, and the first four years post-high school. The relative influence parents, home, teachers, school, peers, media, and selected informal learning experiences had on these developmental patterns was considered as well. The older LSAY cohort, Cohort One, consisted of a national sample of 2,829 tenth-grade students in public high schools throughout the United States. These students were followed for an initial period of seven years, ending four years after high school in 1994. Cohort Two, consisted of a national sample of 3,116 seventh-grade students in public schools that served as feeder schools to the same high schools in which the older cohort was enrolled. These students were followed for an initial period of seven years, concluding with a telephone interview approximately one year after the end of high school in 1994. Beginning in the fall of 1987, the LSAY collected a wide array of information including: (1) a science achievement test and a mathematics achievement test each fall, (2) an attitudinal and experience questionnaire at the beginning and end of each school year, (3) reports about education and experience from all science and math teachers in each school, (4) reports on classroom practice by each science and math teacher serving a LSAY student, (5) an annual 25-minute telephone interview with one parent of each student, and (6) extensive school-level information from the principal of each study school. In 2006, the NSF funded a proposal to re-contact the original LSAY students (then in their mid-30's) to resume data collection to determine their educational and occupational outcomes. Through an extensive tracking activity which involved: (1) online tracking, (2) newsletter mailing, (3) calls to parents and other relatives, (4) use of alternative online search methods, and (5) questionnaire mailing, more than 95 percent of the original sample of 5,945 LSAY students were located or accounted for. In addition to re-contacting the students, the proposal defined a new eligible sample of approximately 5,000 students and these young adults were asked to complete a survey in 2007. A second survey was conducted in the fall of 2008 that sought to gather updated information about occupational and education outcomes and to measure the civic scientific literacy of these young adults, in which to date more than 3,200 participants have responded. A third survey was conducted in the fall of 2009 that sought to gather updated information about occupational and education outcomes and to measure the participants' use of selected informal science education resources, in which to date more than 3,200 participants have responded. A fourth survey was conducted in the fall of 2010 that sought to gather updated information about occupational and education outcomes, as well as provided questions about the participants' interactions with their children, in which to date more than 3,200 participants have responded. Finally, a fifth survey was conducted in the fall of 2011 that sought to gather updated information about education outcomes and included an expanded occupation battery for all participants, as well as an expanded spousal information battery for all participants. The 2011 questionnaire also included items about the 2011 Fukushima incident in Japan along with attitudinal items about nuclear power and global climate change. To date approximately 3,200 participants responded to the 2011 survey. There were no surveys conducted in 2012 or 2013. Beginning in 2014 the LSAY was funded by the National Institute on Aging for five years. This data release adds the 2017 data to the previous data release that included data through 2016. The public release data files include information collected from the national probability sample students, their parents, and the science and mathematics teachers in the students' schools. The data covers the initial seven years, beginning in the fall of 1987, as well as the data collected in the

  2. c

    Longitudinal Study of American Youth, 1987-1992

    • archive.ciser.cornell.edu
    Updated Jan 28, 2020
    + more versions
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    Social Science Research Institute (2020). Longitudinal Study of American Youth, 1987-1992 [Dataset]. http://doi.org/10.6077/j5/vxtwqt
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    Dataset updated
    Jan 28, 2020
    Dataset authored and provided by
    Social Science Research Institute
    Area covered
    United States
    Variables measured
    Individual
    Description

    The Longitudinal Study of American Youth (LSAY) was designed to examine the development of: (1) student attitudes toward and achievement in science, (2) student attitudes toward and achievement in mathematics, and (3) student interest in and plans for a career in science, mathematics, or engineering, during middle school, high school, and the first four years post-high school, and to estimate the relative influence of parents, home, teachers, school, peers, media, and selected informal learning experiences on these developmental patterns. At the time of the original award, it was not known if support would be available beyond the initial four-year period of support and the first years were designed to create a synthetic cohort that would extend from grade seven through the first year after high school. To allow the construction of this synthetic cohort, a two-cohort design was developed. The older LSAY cohort, Cohort One, consisted of a national sample of 2,829 tenth-grade students in public high schools throughout the United States. These students were followed for an initial period of seven years, ending four years after high school in 1994. Cohort Two, consisted of a national sample of 3,116 seventh-grade students in public schools that served as feeder schools to the same high schools in which the older cohort was enrolled. These students were followed for an initial period of seven years, concluding with a telephone interview approximately one year after the end of high school in 1994. Beginning in the fall of 1987, the LSAY collected a wide array of information from each student, including: (1) a science achievement test and a mathematics achievement test each fall, (2) an attitudinal and experience questionnaire at the beginning and end of each school year, (3) reports about education and experience from all science and math teachers in each school, (4) reports on classroom practice by each science and math teacher serving an LSAY student, (5) an annual 25-minute telephone interview with one parent of each student, and (6) extensive school-level information from the principal of each study school. In 2006, the NSF funded a proposal to re-contact the original LSAY students (now in their mid-30’s) to resume data collection to determine their educational and occupational outcomes. Through an extensive tracking activity (described in Kimmel and Miller, 2008), more than 95 percent of the original sample of 5,945 LSAY students were located or accounted for. A new eligible sample of approximately 5,000 students was defined and these young adults were asked to complete a survey in 2007. The public release data files include the information collected from the national probability sample students, their parents, and the science and mathematics teachers in their schools during the initial seven years, beginning in the fall of 1987, as well as the data collected in the 2007 questionnaire. The original two-cohort, two-file data structure reflected the initial period of data collection, but it was awkward for users that wanted to compare the two cohorts or to combine them for various analyses. The merged data file includes a variable to indicate the original cohort, allowing a user to repeat or extend any analysis conducted with the previous LSAY release file, but the naming of the variables in the merged file has been revised to correct dual or conflicting variable names and indicators. Equally important, the new merged file structure will facilitate the annual release of new cycles of data collection through the addition of variables to the base system. Analysts are encouraged to read the LSAY user guide before doing any data analysis. (Source: ICPSR, retrieved 07/19/2011)

  3. W

    Longitudinal Study of Australian Youth (LSAY)

    • cloud.csiss.gmu.edu
    • data.gov.au
    • +1more
    html
    Updated Dec 14, 2019
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    Australia (2019). Longitudinal Study of Australian Youth (LSAY) [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/longitudinal-study-of-australian-youth-lsay
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    htmlAvailable download formats
    Dataset updated
    Dec 14, 2019
    Dataset provided by
    Australia
    Area covered
    Australia
    Description

    The Longitudinal Surveys of Australian Youth (LSAY) tracks cohorts of young people as they move from school into further study, work and other destinations. Survey participants (collectively known as a 'cohort') enter the study when they turn 15 years of age, or in Year 9 (prior to 2003). Studies began in 1995 (Y95 cohort), 1998 (Y98 cohort), 2003 (Y03 cohort), 2006 (Y06 cohort) and more recently in 2009 (Y09 cohort). Plans are underway to develop a 2016 cohort.

    Cohorts are interviewed annually, however reports and publications based upon the data are released regularly on the website.

  4. A

    Longitudinal Surveys of Australian Youth, 2015 cohort (Version 8.0)

    • dataverse.ada.edu.au
    • dataverse.iza.org
    zip
    Updated Sep 27, 2024
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    ADA Dataverse (2024). Longitudinal Surveys of Australian Youth, 2015 cohort (Version 8.0) [Dataset]. http://doi.org/10.4225/87/PJO7GB
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    zip(2596970), zip(4052710), zip(10351515), zip(397277), zip(10563108), zip(47746925), zip(445424), zip(557412), zip(491456), zip(393748), zip(2501033), zip(9346887), zip(44405506), zip(4305304), zip(329591), zip(309741), zip(131003), zip(144232), zip(100012), zip(30814868), zip(297792), zip(135727), zip(145021), zip(42367669), zip(129374), zip(42168697), zip(2067517), zip(2140182), zip(490820), zip(47557890)Available download formats
    Dataset updated
    Sep 27, 2024
    Dataset provided by
    ADA Dataverse
    License

    https://dataverse.ada.edu.au/api/datasets/:persistentId/versions/16.0/customlicense?persistentId=doi:10.4225/87/PJO7GBhttps://dataverse.ada.edu.au/api/datasets/:persistentId/versions/16.0/customlicense?persistentId=doi:10.4225/87/PJO7GB

    Time period covered
    2015 - 2025
    Area covered
    Australia
    Dataset funded by
    Australian Government Department of Education
    Description

    In 2015 a nationally representative sample of about 14,500 15 year-old students was selected to participate in the OECD’s Programme for International Student Assessment (PISA). This group of young people became the sixth cohort of the LSAY program (LSAY Y15). As part of PISA, assessments in mathematical literacy, reading literacy and scientific literacy were administered to schools to provide information on student achievement. Students also completed a background questionnaire about themselves, their families, their views on a range of science-related issues, the environment, educational and vocational expectations, attitudes to school and learning, attitudes towards information and communications technology, and their habits and life in and outside of school. In 2016, members of the Y15 cohort were contacted for the first of their annual LSAY interviews. The questionnaire for their 2016 interviews included questions about their activities during the last 12 months, school, post-school study, engagement in education, career aspirations and decision-making, employment, job satisfaction, job search experiences, income, soft skills, personality, and wellbeing. From 2016, respondents were given the option to complete their interviews by telephone or online. Response rates for the 2016 interviews were lower than expected due to a high rate of missing or unusable contact details provided at the time of PISA. To address this, recruitment of a top-up sample of Year 12 students was conducted in 2017 to ensure that future waves of the survey remain representative of the 15-year-old population in 2015. See Notes (in the Social Science and Humanities section of Metadata) for version details about this dataset.

  5. Replication dataset and calculations for PIIE PB 15-14, Reshoring by US...

    • piie.com
    Updated Sep 1, 2015
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    Lindsay Oldenski (2015). Replication dataset and calculations for PIIE PB 15-14, Reshoring by US Firms: What Do the Data Say?, by Lindsay Oldenski. (2015). [Dataset]. https://www.piie.com/publications/policy-briefs/reshoring-us-firms-what-do-data-say
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    Dataset updated
    Sep 1, 2015
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Lindsay Oldenski
    Description

    This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in Reshoring by US Firms: What Do the Data Say?, PIIE Policy Brief 15-14. If you use the data, please cite as: Oldenski, Lindsay. (2015). Reshoring by US Firms: What Do the Data Say?. PIIE Policy Brief 15-14. Peterson Institute for International Economics.

  6. U.S. Stabilization Efforts: What Do the Data Say? Commanders Response...

    • catalog.data.gov
    Updated Jun 8, 2024
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    data.usaid.gov (2024). U.S. Stabilization Efforts: What Do the Data Say? Commanders Response Program Dataset [Dataset]. https://catalog.data.gov/dataset/u-s-stabilization-efforts-what-do-the-data-say-commanders-response-program-dataset
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    Dataset updated
    Jun 8, 2024
    Dataset provided by
    United States Agency for International Developmenthttps://usaid.gov/
    Description

    CERP funds have been used to implement projects in all 34 provinces with a significant portion of these funds used in the South and South West regional command areas. Projects included, but were not limited to, transportation, education, agriculture/irrigation, health care, water and sanitation, and economic, financial and management system improvements. Most CERP projects were relatively low cost and limited in time-duration.

  7. U.S. Stabilization Efforts: What Do the Data Say?

    • catalog.data.gov
    • datasets.ai
    Updated Jun 8, 2024
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    data.usaid.gov (2024). U.S. Stabilization Efforts: What Do the Data Say? [Dataset]. https://catalog.data.gov/dataset/u-s-stabilization-efforts-what-do-the-data-say
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    Dataset updated
    Jun 8, 2024
    Dataset provided by
    United States Agency for International Developmenthttps://usaid.gov/
    Description

    In March 2016, USAID sponsored the U.S. Institute for Peace (USIP) and researchers from Princeton’s Empirical Studies on Conflict project (ESOC)in their analysis of numerous studies, articles, and data sets onstabilization programming in Afghanistan. USIP and ESOC subsequently synthesized and analyzed quantitative and qualitative data on stabilization projects and prepared a final summary report that analyzed the impact of stabilization programs in Afghanistan and other countries where USAID operates. After finalization of this ESOC report in June 2017, the team also drafted a Special Report, “Aid and Stabilization in Afghanistan: What Do the Data Say”, summarizing the main report’s findings. The summary offindings and the data reports are attached. In the process of preparing the What Do the Data Say report, the Princeton Team prepared the attached EXCEL data sets and Code Book supporting their analyses.

  8. U.S. Stabilization Efforts: What Do the Data Say? Ethnicity Data

    • catalog.data.gov
    Updated Jun 8, 2024
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    data.usaid.gov (2024). U.S. Stabilization Efforts: What Do the Data Say? Ethnicity Data [Dataset]. https://catalog.data.gov/dataset/u-s-stabilization-efforts-what-do-the-data-say-ethnicity-data
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    Dataset updated
    Jun 8, 2024
    Dataset provided by
    United States Agency for International Developmenthttps://usaid.gov/
    Description

    This file contains the population weighted Pashtun speaking percentage in a district.

  9. h

    lsat-ar

    • huggingface.co
    Updated Mar 25, 2024
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    tasksource (2024). lsat-ar [Dataset]. https://huggingface.co/datasets/tasksource/lsat-ar
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 25, 2024
    Dataset authored and provided by
    tasksource
    Description

    Dataset Card for "lsat-ar"

    More Information needed

  10. w

    lsay.org - Historical whois Lookup

    • whoisdatacenter.com
    csv
    + more versions
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    AllHeart Web Inc, lsay.org - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/lsay.org/
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    csvAvailable download formats
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Feb 19, 2025
    Description

    Explore the historical Whois records related to lsay.org (Domain). Get insights into ownership history and changes over time.

  11. U.S. teens who say gaming has helped with life skills 2023, by gender

    • statista.com
    Updated Nov 5, 2024
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    Statista (2024). U.S. teens who say gaming has helped with life skills 2023, by gender [Dataset]. https://www.statista.com/statistics/1500281/us-teens-gaming-helped-impact-life-gender/
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    Dataset updated
    Nov 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 26, 2023 - Oct 23, 2023
    Area covered
    United States
    Description

    A survey between September and October 2023 revealed that 56 percent of U.S. teens who played video games felt that video games had helped their friendships. However, there was a 20 percentage point difference between girls and boys, with the latter being more likely to say gaming has improved their friendships. However, 49 percent of responding girls aged 13 to 17 felt that games helped their problem-solving skills.

  12. o

    Dey Say Street Cross Street Data in Lutcher, LA

    • ownerly.com
    Updated Dec 8, 2021
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    Ownerly (2021). Dey Say Street Cross Street Data in Lutcher, LA [Dataset]. https://www.ownerly.com/la/lutcher/dey-say-st-home-details
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    Dataset updated
    Dec 8, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Louisiana, Lutcher, Dey Say Street
    Description

    This dataset provides information about the number of properties, residents, and average property values for Dey Say Street cross streets in Lutcher, LA.

  13. U.S. Stabilization Efforts: What Do the Data Say? Stability by Region

    • datasets.ai
    • catalog.data.gov
    23, 40, 55, 8
    Updated Sep 11, 2024
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    US Agency for International Development (2024). U.S. Stabilization Efforts: What Do the Data Say? Stability by Region [Dataset]. https://datasets.ai/datasets/u-s-stabilization-efforts-what-do-the-data-say-stability-by-region
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    8, 23, 55, 40Available download formats
    Dataset updated
    Sep 11, 2024
    Dataset provided by
    United States Agency for International Developmenthttps://usaid.gov/
    Authors
    US Agency for International Development
    Description

    This file contains indices of stability by region based on the data from the Measuring Impact of Stabilization Initiatives Project (MISTI). The key indices studied were government capacity, local governance, quality of life and community cohesion.

  14. d

    Say's Phoebe Range - CWHR B323 [ds1562]

    • catalog.data.gov
    • data.cnra.ca.gov
    • +5more
    Updated Nov 27, 2024
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    California Department of Fish and Wildlife (2024). Say's Phoebe Range - CWHR B323 [ds1562] [Dataset]. https://catalog.data.gov/dataset/says-phoebe-range-cwhr-b323-ds1562-a07a8
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Fish and Wildlife
    Description

    Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.

  15. Voting: people who say they usually never vote in local elections (USA),...

    • statista.com
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    Statista, Voting: people who say they usually never vote in local elections (USA), 2014 [Dataset]. https://www.statista.com/statistics/231598/people-who-say-they-usually-never-vote-in-local-elections-usa/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic illustrates the number of people who say they usually never vote in local elections in the United States (USA) from spring 2008 to spring 2014. In spring 2008, the number of people who said they usually never vote in local elections amounted to 65.32 million.

  16. c

    Say's Phoebe Range - CWHR B323 [ds1562] GIS Dataset

    • map.dfg.ca.gov
    Updated Aug 12, 2016
    + more versions
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    (2016). Say's Phoebe Range - CWHR B323 [ds1562] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds1562.html
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    Dataset updated
    Aug 12, 2016
    Description

    CDFW BIOS GIS Dataset, Contact: Melanie Gogol-Prokurat, Description: Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California.

  17. o

    Status and occurrence of the non-indigenous Mulinia lateralis (Say, 1822) in...

    • obis.org
    • emodnet.ec.europa.eu
    zip
    Updated Mar 20, 2025
    + more versions
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    Vlaams Instituut voor de Zee (2025). Status and occurrence of the non-indigenous Mulinia lateralis (Say, 1822) in the central Wadden Sea (southern North Sea) [Dataset]. http://doi.org/10.14284/602
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    zipAvailable download formats
    Dataset updated
    Mar 20, 2025
    Dataset authored and provided by
    Vlaams Instituut voor de Zee
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2022
    Area covered
    Wadden Sea, North Sea
    Variables measured
    Sampling instrument name, Count (in assayed sample) of biological entity specified elsewhere
    Description

    The species Mulinia lateralis (Say, 1822) is native in the western Atlantic Ocean and was first documented in European coastal waters in 2017. To report its current distribution status in the central Wadden Sea, individuals were collected systematically from intertidal flats along 10 transects ranging from the outer Ems estuary to the outer Elbe estuary (German North Sea coast) between February and May 2022. In total, 897 specimens of M. lateralis were sampled from 392 stations (mean abundance 2.29 ± 4.97 ind./m²). The shell length ranged between 3.98 to 23.5 mm thus representing.

  18. H

    Replication Data for: Say Our Name (and Say It Right)! Extending Walton et...

    • dataverse.harvard.edu
    Updated May 3, 2016
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    Ray Block Jr. (2016). Replication Data for: Say Our Name (and Say It Right)! Extending Walton et al. on the Evolution of Race in Political Science Scholarship [Dataset]. http://doi.org/10.7910/DVN/87AUMD
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 3, 2016
    Dataset provided by
    Harvard Dataverse
    Authors
    Ray Block Jr.
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Data and Stata code for replication. Abstract: To explore the evolution of political science research on race, Walton, Miller, and McCormick (1995), and Walton (1997, Chapter 4) do a systematic review of more than a century of publications appearing in the discipline’s oldest and most prestigious journals: Political Science Quarterly (PSQ) and the American Political Science Review (APSR), respectively. Walton and his colleagues uncover “dual traditions” of race scholarship: an African American Politics (AAP) paradigm, emphasizing empowerment and Blacks’ cultural distinctiveness, and a Race Relations Politics (RRP) approach that focuses on Blacks’ socio-political status vis-à-vis Whites. Using computer-assisted text analyses, we introduce a measure of racial dialogue that is informed by theory and has suitable empirical properties. We replicate and extend Walton’s research by adding a third periodical (the Journal of Politics [JOP]) and demonstrating that while race conversations are becoming more frequent over time, the dialogues taking place in mainstream journals typically fit Walton’s RRP (rather than AAP) tradition. Following our analyses, we offer guidelines for researchers seeking to apply our measure to alternative contexts.

  19. U.S. Stabilization Efforts: What Do the Data Say? Broad Panel Dataset with...

    • catalog.data.gov
    Updated Jun 8, 2024
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    data.usaid.gov (2024). U.S. Stabilization Efforts: What Do the Data Say? Broad Panel Dataset with Relevant Outcome Measures [Dataset]. https://catalog.data.gov/dataset/u-s-stabilization-efforts-what-do-the-data-say-broad-panel-dataset-with-relevant-outcome-m
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    Dataset updated
    Jun 8, 2024
    Dataset provided by
    United States Agency for International Developmenthttps://usaid.gov/
    Description

    The broad panel dataset consists of outcome measures such as popular support for the Afghan government, support from anti-government elements, community cohesion, health access and economic well-being of the Afghan people.

  20. U.S. Stabilization Efforts: What Do the Data Say? Road Construction Data

    • catalog.data.gov
    Updated Jun 8, 2024
    + more versions
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    data.usaid.gov (2024). U.S. Stabilization Efforts: What Do the Data Say? Road Construction Data [Dataset]. https://catalog.data.gov/dataset/u-s-stabilization-efforts-what-do-the-data-say-road-construction-data
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    Dataset updated
    Jun 8, 2024
    Dataset provided by
    United States Agency for International Developmenthttps://usaid.gov/
    Description

    This file aggregates road construction at district level. It contains the length of roads constructed in the district and their density, defined as total road length divided by the district area.

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Longitudinal Study of American Youth, 1987-1994, 2007-2011, 2014-2017 [Dataset]. https://www.icpsr.umich.edu/web/ICPSR/studies/30263
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Longitudinal Study of American Youth, 1987-1994, 2007-2011, 2014-2017

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11 scholarly articles cite this dataset (View in Google Scholar)
r, ascii, delimited, sas, stata, spssAvailable download formats
Dataset updated
Jun 1, 2021
Dataset provided by
Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
Authors
Miller, Jon D.
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https://www.icpsr.umich.edu/web/ICPSR/studies/30263/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/30263/terms

Time period covered
1987 - 1994
Area covered
United States
Description

The Longitudinal Study of American Youth (LSAY) is a project that was funded by the National Science Foundation in 1985 and was designed to examine the development of: (1) student attitudes toward and achievement in science, (2) student attitudes toward and achievement in mathematics, and (3) student interest in and plans for a career in science, mathematics, or engineering, during middle school, high school, and the first four years post-high school. The relative influence parents, home, teachers, school, peers, media, and selected informal learning experiences had on these developmental patterns was considered as well. The older LSAY cohort, Cohort One, consisted of a national sample of 2,829 tenth-grade students in public high schools throughout the United States. These students were followed for an initial period of seven years, ending four years after high school in 1994. Cohort Two, consisted of a national sample of 3,116 seventh-grade students in public schools that served as feeder schools to the same high schools in which the older cohort was enrolled. These students were followed for an initial period of seven years, concluding with a telephone interview approximately one year after the end of high school in 1994. Beginning in the fall of 1987, the LSAY collected a wide array of information including: (1) a science achievement test and a mathematics achievement test each fall, (2) an attitudinal and experience questionnaire at the beginning and end of each school year, (3) reports about education and experience from all science and math teachers in each school, (4) reports on classroom practice by each science and math teacher serving a LSAY student, (5) an annual 25-minute telephone interview with one parent of each student, and (6) extensive school-level information from the principal of each study school. In 2006, the NSF funded a proposal to re-contact the original LSAY students (then in their mid-30's) to resume data collection to determine their educational and occupational outcomes. Through an extensive tracking activity which involved: (1) online tracking, (2) newsletter mailing, (3) calls to parents and other relatives, (4) use of alternative online search methods, and (5) questionnaire mailing, more than 95 percent of the original sample of 5,945 LSAY students were located or accounted for. In addition to re-contacting the students, the proposal defined a new eligible sample of approximately 5,000 students and these young adults were asked to complete a survey in 2007. A second survey was conducted in the fall of 2008 that sought to gather updated information about occupational and education outcomes and to measure the civic scientific literacy of these young adults, in which to date more than 3,200 participants have responded. A third survey was conducted in the fall of 2009 that sought to gather updated information about occupational and education outcomes and to measure the participants' use of selected informal science education resources, in which to date more than 3,200 participants have responded. A fourth survey was conducted in the fall of 2010 that sought to gather updated information about occupational and education outcomes, as well as provided questions about the participants' interactions with their children, in which to date more than 3,200 participants have responded. Finally, a fifth survey was conducted in the fall of 2011 that sought to gather updated information about education outcomes and included an expanded occupation battery for all participants, as well as an expanded spousal information battery for all participants. The 2011 questionnaire also included items about the 2011 Fukushima incident in Japan along with attitudinal items about nuclear power and global climate change. To date approximately 3,200 participants responded to the 2011 survey. There were no surveys conducted in 2012 or 2013. Beginning in 2014 the LSAY was funded by the National Institute on Aging for five years. This data release adds the 2017 data to the previous data release that included data through 2016. The public release data files include information collected from the national probability sample students, their parents, and the science and mathematics teachers in the students' schools. The data covers the initial seven years, beginning in the fall of 1987, as well as the data collected in the

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