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Necessary Condition Analysis (NCA)(으)로 돌아가기

에라스무스 대학교 로테르담 캠퍼스의 Necessary Condition Analysis (NCA) 학습자 리뷰 및 피드백

4.8
별점
10개의 평가

강좌 소개

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!...

최상위 리뷰

필터링 기준:

Necessary Condition Analysis (NCA)의 4개 리뷰 중 1~4

교육 기관: Diogenes B

2022년 7월 15일

교육 기관: Indy O

2022년 9월 6일

교육 기관: Sina B

2022년 7월 20일

교육 기관: Thomas T

2022년 7월 19일