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Design of Quantitative Research (YMH516) FHS UK, HiSo. Class assignments Research project proposal. Jiří Šafr Email: jiri.safr(AT) To complete the course DQR:. Research project proposal of the quantitative survey (ca 3-4 pp.)

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to complete the course dqr
To complete the course DQR:
  • Research project proposal of the quantitative survey (ca 3-4 pp.)
  • supplemented with questionnaire as research instrument (or possibly another method of data gathering )
  • data collection(for training purposes only) – small pilot study
  • passing of knowledge test (>60 %)
research project proposal
Research projectproposal

„Research proposal provides preview of why a study will be undertaken and how it will be conducted.“[Babbie 2007: 116] It contains mainly (you should focus on):

  • Definition of the problem, purpose of the study, general research question (and possibly hypothesis)
  • Specific research question(s) and hypotheses; model of relationships
  • Operationalisation
  • Population definition and sampling
research project proposal in detail
Research project proposal (in detail):
  • Objective of survey, definition of the problem; purpose of the study: exploratory/ descriptive/ explanatory (the later is recommended) (→ what you will survey and why you are interested in the topic)
  • Population in focus to which your results will be generalized; unit of analysis in the study (individuals vs. groups / aggregates/ organizations)(→ who you will survey)
  • Context – theoretical frameworks, very (!) brief overview of theories explaining the problem establishing hypotheses (→ from what your concept of the problem and hypotheses comes out)
  • General research question (RQ) and hypothesis (→ what you expect: how the phenomenon/relationship is conditioned at the most general level)
  • How the problem (essential dependent variable/s) will be conceptualized(→ elaborate the terms and specify indicators of the phenomena)
  • Model of relationships with list of variables included (if explanatory objective: which is dependent/ explanatory/ mediating variable); outline the model for the research questions or hypotheses (→ what you need to measure to assess the hypotheses)
  • Particular research questions and working hypotheses (ca 10 hypotheses at least ½ of them two-level, i.e. what relation we expect between Variable1 and Variable2)
  • Operationalisation of (principal) variables (→ procedure how exactly(!) you will measure the most important variables, e.g. in your questionnaire)
  • Data collection method: way of administration of the questionnaire(Face to Face / CATI interview / self administrated/ collective/individual, (e)mail, CAWI …)
  • Sampling from population: method procedure, sample size, possibly logic of designing sample (e.g. strata relevant to RQ)(→ how you will select respondents to your study)
  • (Outline of strategy for analysis of the data relevant to your RQ/ Hypotheses [optional])
questionnaire research instrument
Questionnaire(research instrument )
  • Questionnaire should contain (only) questions relevant to variables used in RQ and hypotheses → all variables considered in the model/ hypotheses must be covered
  • configuration, formatting according to the administration method
data collection
Data collection
  • Data collection is for training purposes only → small pilot study comprising only 5-10 respondents
  • Reflection of respondents‘ reactions to the questionnaire → What have you done wrongly (and how would you improve it)
  • Data set: only illustration of the process is sufficient (i.e. for limited number of variables/ cases in data format for MS Excel/ SPSS/ txt …)