Template:Collect Justificatory Knowledge

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Collect Justificatory Knowledge

Description

Justificatory Knowledge.png

Covariance:

describes relationship between two or more variables presents how they vary together (positively or negatively) no information about strength of relationship (not normalized)

Correlation:

statements on strength possible (normalized covariance) always between -1 and +1 no information about direction of causality

Causality:

defines the direction of the relationship between two variables relationships are described based on logical reasoning Example: “If it had not rained yesterday (cause), I would have gone for a walk (effect).” [1]

Examples

Accumulation and evolution of design knowledge [2]

Further Readings

  • Internal validity and external validity [3]
  • Analysis of expriments [4]


[1] Sarstedt, M. & Mooi, E. (2011). “A Concise Guide to Market Research – The Process, Data, and Methods using IBM SPSS Statistics”, Springer Publishers: Heidelberg

[2] Hevner, A., vom Brocke, J. & Maedche, A. (2019). “Roles of Digital Innovation in Design Science Research”, Business & Information Systems Engineering: Vol. 61, no. 1, pp. 3-8.

[3] Bhattacherjee, A. (2012). "Social Science Research: Principles, Methods, and Practices", Textbooks Collection. 3. Available at: https://scholarcommons.usf.edu/oa_textbooks/3

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