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Quantitative Data Analysis I: Understanding Hypotheses and Causal Relationships

Dive into the world of quantitative data analysis, exploring hypothesis testing, operationalization, and causal relationships between variables. Join the English course taught by Jiří Šafr to enhance your skills!

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Quantitative Data Analysis I: Understanding Hypotheses and Causal Relationships

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  1. Historická sociologie, FHS UK Quantitative Data Analysis I.= Analýza kvantitativních dat I.Information for LS 2014 Jiří Šafr FHS UK jiri.safrATseznam.cz last revision 26/2/2014

  2. Classes • English course QDA I. • Wednesday v 5 to 6 PM, lab 2071, Jinonice, campus UK

  3. Komunikace • Lecturer: Jiří Šafr • Email: jiri.safr(AT)seznam.cz • In subject: QDA1: keyword, name • www.metodykv.wz.cz

  4. Introductory test:design of quantitative data survey

  5. What it means „stochastic character of our results“? • What is a hypothesis? Whats is the base of testing hypotheses? Describe the procedure of hypothesis verification with variables Y and X. Show it on your own example. • What is a operationalisation. Make an example. • What types of type variables do you know (level of measurement). • What are the conditions under which we can claim that there exist causal relationship between two variables? • Make operationalisation, for survey: - „education“. - „interest in politics“.

  6. http://www.metodykv.wz.cz/ Here you will find answers in literature … http://metodykv.wz.cz/index.htm#design

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