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學生對 鹿特丹伊拉斯姆斯大学 提供的 Necessary Condition Analysis (NCA) 的評價和反饋

課程概述

Welcome to Necessary Condition Analysis (NCA). NCA analyzes data using necessity logic. A necessary condition implies that if the condition is not in place, there will be guaranteed failure of the outcome. The opposite however is not true; if the condition is in place, success of the outcome is not guaranteed. Examples of necessary conditions are a student’s GMAT score for admission to a PhD program; a student will not be admitted to a PhD program when his GMAT score is too low. Intelligence for creativity, as creativity will not exist without intelligence, and management commitment for organizational change, as organizational change will not occur without management commitment. NCA can be used with existing or new data sets and can give novel insights for theory and practice. You can apply NCA as a stand-alone approach, or as part of a multi-method approach complementing multiple linear regression (MLR), structural equation modelling (SEM) or Qualitative Comparative Analysis (QCA). This course explains the basic elements of NCA and uses illustrative examples on how to perform NCA with R software. Topics include (i) Setting up an NCA study (ii) Run NCA and (iii) Present the results of NCA. We hope you enjoy the course!...

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1 - Necessary Condition Analysis (NCA) 的 4 個評論(共 4 個)

創建者 Diogenes B

2022年7月15日

創建者 Indy O

2022年9月6日

創建者 Sina B

2022年7月20日

創建者 Thomas T

2022年7月19日