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Quantitative Datenanalyse in R - Allbusstudie: Allbus-Studie 2014. Lebensalter, Schulbildung und Nettoeinkommen

Quantitative Datenanalyse in R - Allbusstudie: Allbus-Studie 2014. Lebensalter, Schulbildung und Nettoeinkommen

          
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About the Book

Studienarbeit aus dem Jahr 2019 im Fachbereich Mathematik - Statistik, Note: 1,6, FOM Hochschule für Oekonomie & Management gemeinnützige GmbH, Nürnberg früher Fachhochschule, Sprache: Deutsch, Abstract: Folgende Datenanalyse stützt sich auf die Daten der "allgemeinen Bevölkerungsumfrage der Sozialwissenschaften" (ALLBUS) aus dem Jahr 2014. Die Studie wurde Mitte der siebziger Jahre ins Leben gerufen. Seither fungiert das ALLBUS-Programm als eine umfangreiche Datenquelle für die gesellschaftliche Dauerbeobachtung in Deutschland. Durch die meist zweijährliche Datenerhebung der Studie wird dieses Medium genutzt, um Veränderungen der Gesellschaft zu beobachten. Während des Erhebungszeitraum der Allbusstudie 2014 wurden mit 3468 Personen persönlich-mündliche Befragung mit standardisiertem Frageprogramm (CAPI - Computer Assisted Personal Interviewing) zwei Zusatzbefragungen als CASI (Computer Assisted Self-Interviewing) im Rahmen des ISSP (Splitverfahren) durchgeführt. Die Studie beinhaltet 861 Variablen. Gegliedert ist die Studie in die Bereiche Freizeitaktivitäten und Mediennutzung, soziale Ungleichheit und Wohlfahrtsstaat, Familie und Partnerschaft, politische Einstellungen, Gesundheit, Sonstiges, ALLBUS-Demographie, Daten zum Interview (Paradaten), Nationale Identität III (ISSP), Bürger und Staat II (ISSP), Ergänzungen und abgeleitete Variablen. Das Untersuchungsgebiet beschränkt sich auf die Bundesrepublik Deutschland. Die Datengeber wurden durch eine zweistufige, disproportional geschichtete Zufallsauswahl bestimmt. Unter den Probanden waren Deutsche und Ausländer, welche zum Zeitpunkt der Untersuchung in deutschen Privathaushalten lebten und vor dem 01.01.1996 geboren sind. Durch den zugrunde liegenden Datensatz können Hypothesen, die durch Beobachtung hergeleitet werden, statistisch überprüft werden. Nachgehend werden einige Hypothesen vorgestellt, welche sich auf die Variablen Lebensalter, Schulbildung und Nettoeinkommen beziehen. Mit verschiedenen statistis


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Product Details
  • ISBN-13: 9783668951204
  • Publisher: Bod Third Party Titles
  • Publisher Imprint: Grin Verlag
  • Height: 210 mm
  • No of Pages: 28
  • Spine Width: 2 mm
  • Weight: 50 gr
  • ISBN-10: 3668951209
  • Publisher Date: 02 May 2019
  • Binding: Paperback
  • Language: German
  • Returnable: N
  • Sub Title: Allbus-Studie 2014. Lebensalter, Schulbildung und Nettoeinkommen
  • Width: 148 mm


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