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  2. Nelson Diversity Surveys - Wikipedia

    en.wikipedia.org/wiki/Nelson_Diversity_Surveys

    The FY2002 data were the first such data published, disaggregated by gender, by race, and by rank, about faculty at 50 research universities in each of 14 science and engineering disciplines. The FY2005 survey was expanded to include 100 departments in each of 15 disciplines (adding earth science). In some cases, slightly fewer than 100 schools ...

  3. Aggregate data - Wikipedia

    en.wikipedia.org/wiki/Aggregate_data

    For example, a researcher collects, collates, or compiles aggregate data through utilising multiple mechanisms of social research, including inventory, interview, an opinionnaire, and a questionnaire or schedule. Official or non-official agencies also collect and compile aggregate data on an ongoing basis through utilising infrastructures ...

  4. Armed Conflict Location and Event Data - Wikipedia

    en.wikipedia.org/wiki/Armed_Conflict_Location...

    Armed Conflict Location & Event Data (ACLED) is a non-profit organization specializing in disaggregated conflict data collection, analysis, and crisis mapping.ACLED codes the dates, actors, locations, fatalities, and types of all reported political violence and demonstration events around the world in real time.

  5. Individual Deprivation Measure - Wikipedia

    en.wikipedia.org/wiki/Individual_Deprivation_Measure

    The first research phase of the Individual Deprivation Measure started in 2009. It was a four-year, international, interdisciplinary research collaboration, led by the Australian National University, in partnership with the International Women's Development Agency and the Philippine Health and Social Science Association, University of Colorado at Boulder, and Oxfam Great Britain (Southern ...

  6. What did Black Latinos think about those pro-Trump Latino ...

    www.aol.com/did-black-latinos-think-those...

    Figueroa highlights that disaggregation of data even beyond race, analyzing other factors like nation of origin, class, geography, and generation, shows important differences between Latino groups.

  7. Simpson's paradox - Wikipedia

    en.wikipedia.org/wiki/Simpson's_paradox

    Simpson's paradox for quantitative data: a positive trend ( , ) appears for two separate groups, whereas a negative trend ( ) appears when the groups are combined. Visualization of Simpson's paradox on data resembling real-world variability indicates that risk of misjudgment of true causal relationship can be hard to spot.

  8. Data aggregation - Wikipedia

    en.wikipedia.org/wiki/Data_aggregation

    When Yelp, for example, goes to update their Yelp listings, they will pull data from these local data aggregators. Publishers take local business data from different sources and compare it to what they currently have in their database. They then update their database it with what information they deem accurate.

  9. White House Initiative on Asian Americans, Native Hawaiians ...

    en.wikipedia.org/wiki/White_House_Initiative_on...

    The Initiative launched Data.gov/AAPI, the most comprehensive hub of government data on AAPIs. The Initiative also convened data experts during two iCount Symposiums and released a best practices report to promote innovative approaches and methodologies to further disaggregate race and ethnicity data within federal agencies. [34] [35]