- Level Foundation
- المدة 7 ساعات hours
- الطبع بواسطة Erasmus University Rotterdam
-
Offered by
عن
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!الوحدات
Welcome to the course
1
Videos
- Welcome to the course
Introduction to week 1
1
Videos
- Introduction week 1
Lesson 1: Necessity logic
1
Assignment
- Practice question 1
1
Videos
- Necessity logic
1
Readings
- Necessity logic
Lesson 2: Necessary conditions
1
Assignment
- Practice question 2
1
Videos
- Necessary conditions
Lesson 3: Basics of NCA
1
Assignment
- Practice question 3
1
Videos
- Basics of NCA
1
Readings
- Methodological backgrounds of NCA
Lesson 4: Difference between necessity logic and average-trend logic
1
Assignment
- Practice question 4
1
Videos
- Difference between necessity logic and average-trend logic
Lesson 5: The benefits of NCA
1
Assignment
- Practice question 5
1
Videos
- The benefits of NCA
1
Readings
- The benefits of NCA for researchers and practitioners
Graded quiz: Introduction to Necessary Condition Analysis
1
Assignment
- Week 1
Introduction to week 2
1
Videos
- Introduction week 2
Lesson 6: Formulating necessary condition hypotheses
1
Assignment
- Practice question 6
1
Videos
- Formulating necessary condition hypotheses
1
Readings
- Formulating necessary condition hypotheses
Lesson 7: Collecting data - The sample
1
Assignment
- Practice question 7
1
Videos
- Collecting data: The sample
1
Readings
- Collecting data: The sample
Lesson 8: Collecting data: The measurement
1
Assignment
- Practice question 8
1
Videos
- Collecting data: The measurement
1
Readings
- Collecting data: The measurement
Graded quiz: Setting up an NCA study
1
Assignment
- Week 2
Introduction to week 3
1
Videos
- Introduction week 3
Lesson 9: Identify empty space - Scatter plot approach
1
Assignment
- Practice question 9
1
Videos
- Identify empty space - Scatter plot approach
Lesson 10: The effect size
1
Assignment
- Practice question 10
1
Videos
- The effect size
1
Readings
- The effect size
Lesson 11: NCA's statistical test
1
Assignment
- Practice question 11
1
Videos
- NCA's statistical test
1
Readings
- NCA's statistical test
Lesson 12: The bottleneck table
1
Assignment
- Practice question 12
1
Videos
- The bottleneck table
1
Readings
- The bottleneck table
Lesson 13: Software demonstration
4
Videos
- Introduction to the software demonstration
- Part 1: Load NCA software and dataset
- Part 2: Conduct NCA: effect size, p-value
- Part 3: Conduct NCA: bottleneck table
2
Readings
- Software Demonstration
- Using the NCA software
Graded quiz: Data analysis with NCA
1
Assignment
- Week 3
Introduction to week 4
1
Videos
- Introduction week 4
Lesson 14: Reporting an NCA study
1
Assignment
- Practice question 14
1
Videos
- Reporting an NCA study
1
Readings
- Reporting an NCA study
Lesson 15: Strengths and weaknesses of NCA
1
Assignment
- Practice question 15
1
Videos
- Strengths and weaknesses of NCA
1
Readings
- Strengths and weaknesses of NCA
Graded quiz: Reporting the results of NCA
1
Assignment
- Week 4
Introduction to week 5
1
Videos
- Introduction week 5
Lesson 16: Analyzing other corners
1
Assignment
- Practice question 16
1
Videos
- Other corners
1
Readings
- Other corners
Lesson 17: Dealing with outliers
1
Assignment
- Practice question 17
1
Videos
- Outliers
1
Readings
- Outliers
Lesson 18: NCA in small N research
1
Assignment
- Practice question 18
1
Videos
- How to use NCA in small N research
1
Readings
- How to use NCA in small N research
Lesson 19: How NCA is different from QCA
1
Assignment
- Practice question 19
1
Videos
- NCA and QCA
1
Readings
- How NCA is different from QCA
Graded quiz: Advanced Topics of NCA
1
Assignment
- Week 5
Closing the course
1
Videos
- Closing the course
Auto Summary
Discover the fundamentals of Necessary Condition Analysis (NCA) in this engaging course designed for business and management enthusiasts. Led by Coursera, this foundational course delves into necessity logic, crucial for understanding conditions that guarantee failure if not met. Learn to apply NCA using R software, complementing methods like MLR and SEM. Ideal for those seeking to enhance their analytical skills, the course spans 420 minutes and offers a starter subscription. Join now to uncover novel insights for theory and practice!

Jon Bokrantz

Chloé Schwizgebel

Wilfred Knol

Jan Dul

Nicole Franziska Richter