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  • The paper gives a list of methods suitable for processing the data file with missing values. We focus on such methods which are useable without a need of the special statistical software. The choice of a certain method depends on various factors. The most important factors are type of a variable and a variability of a sample. Both samples with a high variability and samples with a low variability are researched. The used methods are compared then in term of their impact on sample properties. There are presented the methods suitable for work with ordinal, interval and ratio variables. Each of them has its own characteristics which cannot be missed out by a choice of the method. Lastly, the paper deals with the problem whether it is better to replace missing values or to work just with the data truly obtained.
  • The paper gives a list of methods suitable for processing the data file with missing values. We focus on such methods which are useable without a need of the special statistical software. The choice of a certain method depends on various factors. The most important factors are type of a variable and a variability of a sample. Both samples with a high variability and samples with a low variability are researched. The used methods are compared then in term of their impact on sample properties. There are presented the methods suitable for work with ordinal, interval and ratio variables. Each of them has its own characteristics which cannot be missed out by a choice of the method. Lastly, the paper deals with the problem whether it is better to replace missing values or to work just with the data truly obtained. (en)
Title
  • Problems of Missing Values in Marketing Researches
  • Problems of Missing Values in Marketing Researches (en)
skos:prefLabel
  • Problems of Missing Values in Marketing Researches
  • Problems of Missing Values in Marketing Researches (en)
skos:notation
  • RIV/46747885:24310/09:#0000174!RIV10-MMR-24310___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(WD-30-07-1)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 336601
http://linked.open...ai/riv/idVysledku
  • RIV/46747885:24310/09:#0000174
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • arithmetic mean; marketing research; missing values; respondent; variability; variable (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [816FEC1E0844]
http://linked.open...v/mistoKonaniAkce
  • Liberec
http://linked.open...i/riv/mistoVydani
  • Liberec
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 9th International Conference Liberec Economic Forum 2009
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Gurinová, Kateřina
  • Hovorková Valentová, Vladimíra
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000272657000012
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Technická univerzita v Liberci
https://schema.org/isbn
  • 9788073725235
http://localhost/t...ganizacniJednotka
  • 24310
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