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LINK . SPRINGER . COM {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Link.springer.com Make Money
  6. Keywords
  7. Topics
  8. Schema
  9. External Links
  10. Analytics And Tracking
  11. Libraries
  12. CDN Services

We are analyzing https://link.springer.com/article/10.1007/bf02295996.

Title:
Note on the sampling error of the difference between correlated proportions or percentages | Psychometrika
Description:
Psychometrika - Two formulas are presented for judging the significance of the difference between correlated proportions. The chi square equivalent of one of the developed formulas is pointed out.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

  • Social Networks
  • Mobile Technology & AI
  • Telecommunications

Content Management System {📝}

What CMS is link.springer.com built with?

Custom-built

No common CMS systems were detected on Link.springer.com, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 5,000,019 visitors per month in the current month.
However, some sources were not loaded, we suggest to reload the page to get complete results.

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How Does Link.springer.com Make Money? {💸}

We find it hard to spot revenue streams.

Websites don't always need to be profitable; some serve as platforms for education or personal expression. Websites can serve multiple purposes. And this might be one of them. Link.springer.com might be making money, but it's not detectable how they're doing it.

Keywords {🔍}

article, privacy, cookies, content, correlated, access, data, publish, search, sampling, policy, information, log, journal, research, psychometrika, error, difference, proportions, mcnemar, discover, statistics, springer, function, optional, personal, parties, find, track, note, percentages, cite, quinn, explore, formulas, institution, study, open, related, subjects, statistical, theory, author, usa, rights, permissions, download, subscribe, month, cancel,

Topics {✒️}

sample behrens–fisher problems month download article/chapter related subjects conditions privacy policy privacy choices/manage cookies article psychometrika aims full article pdf sampling error privacy policy check access instant access european economic area chi square equivalent article mcnemar accepting optional cookies quadratic discriminant function main content log journal finder publish personal data article log article cite data protection books a optional cookies manage preferences essential cookies cookies skip subscription content similar content sampling institution subscribe journal publish usage analysis social media varying standards june 1947 volume 12 optimal strategies chen–qin latest articles machine learning note tax calculation correlated proportions correlated populations psychometrika 12 percentages published developed formulas permissions reprints privacy content

Schema {🗺️}

WebPage:
      mainEntity:
         headline:Note on the sampling error of the difference between correlated proportions or percentages
         description:Two formulas are presented for judging the significance of the difference between correlated proportions. The chi square equivalent of one of the developed formulas is pointed out.
         datePublished:
         dateModified:
         pageStart:153
         pageEnd:157
         sameAs:https://doi.org/10.1007/BF02295996
         keywords:
            Public Policy
            Statistical Theory
            Sampling Error
            Correlate Proportion
            Develop Formula
            Psychometrics
            Assessment
            Testing and Evaluation
            Statistics for Social Sciences
            Humanities
            Law
            Statistical Theory and Methods
         image:
         isPartOf:
            name:Psychometrika
            issn:
               1860-0980
               0033-3123
            volumeNumber:12
            type:
               Periodical
               PublicationVolume
         publisher:
            name:Springer-Verlag
            logo:
               url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
               type:ImageObject
            type:Organization
         author:
               name:Quinn McNemar
               affiliation:
                     name:Stanford University
                     address:
                        name:Stanford University, USA
                        type:PostalAddress
                     type:Organization
               type:Person
         isAccessibleForFree:
         hasPart:
            isAccessibleForFree:
            cssSelector:.main-content
            type:WebPageElement
         type:ScholarlyArticle
      context:https://schema.org
ScholarlyArticle:
      headline:Note on the sampling error of the difference between correlated proportions or percentages
      description:Two formulas are presented for judging the significance of the difference between correlated proportions. The chi square equivalent of one of the developed formulas is pointed out.
      datePublished:
      dateModified:
      pageStart:153
      pageEnd:157
      sameAs:https://doi.org/10.1007/BF02295996
      keywords:
         Public Policy
         Statistical Theory
         Sampling Error
         Correlate Proportion
         Develop Formula
         Psychometrics
         Assessment
         Testing and Evaluation
         Statistics for Social Sciences
         Humanities
         Law
         Statistical Theory and Methods
      image:
      isPartOf:
         name:Psychometrika
         issn:
            1860-0980
            0033-3123
         volumeNumber:12
         type:
            Periodical
            PublicationVolume
      publisher:
         name:Springer-Verlag
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Quinn McNemar
            affiliation:
                  name:Stanford University
                  address:
                     name:Stanford University, USA
                     type:PostalAddress
                  type:Organization
            type:Person
      isAccessibleForFree:
      hasPart:
         isAccessibleForFree:
         cssSelector:.main-content
         type:WebPageElement
["Periodical","PublicationVolume"]:
      name:Psychometrika
      issn:
         1860-0980
         0033-3123
      volumeNumber:12
Organization:
      name:Springer-Verlag
      logo:
         url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
         type:ImageObject
      name:Stanford University
      address:
         name:Stanford University, USA
         type:PostalAddress
ImageObject:
      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Quinn McNemar
      affiliation:
            name:Stanford University
            address:
               name:Stanford University, USA
               type:PostalAddress
            type:Organization
PostalAddress:
      name:Stanford University, USA
WebPageElement:
      isAccessibleForFree:
      cssSelector:.main-content

External Links {🔗}(24)

Analytics and Tracking {📊}

  • Google Tag Manager

Libraries {📚}

  • Clipboard.js
  • Prism.js

CDN Services {📦}

  • Crossref

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