Udemy - Introduction to fsQCA using R

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[ CourseMega.com ] Udemy - Introduction to fsQCA using R
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 - INTRODUCTION TO FSQCA
    • 001 Introduction.mp4 (81.5 MB)
    • 001 Introduction_en.srt (3.8 KB)
    • 002 02-02-Slides.Naming.mp4 (80.4 MB)
    • 002 Naming of variables and objective.mp4 (98.9 MB)
    • 002 Naming of variables and objective_en.srt (4.8 KB)
    • 003 Necessity.mp4 (67.9 MB)
    • 003 Necessity_en.srt (3.7 KB)
    • 004 Sufficiency.mp4 (57.8 MB)
    • 004 Sufficiency_en.srt (3.6 KB)
    • 005 Set membership.mp4 (82.9 MB)
    • 005 Set membership_en.srt (4.6 KB)
    • 006 Calibration.mp4 (58.2 MB)
    • 006 Calibration_en.srt (3.3 KB)
    • 007 Negation of sets.mp4 (70.0 MB)
    • 007 Negation of sets_en.srt (3.8 KB)
    • 008 Example (Causal combinations).mp4 (136.9 MB)
    • 008 Example (Causal combinations)_en.srt (6.5 KB)
    • 009 Example (truth table).mp4 (135.5 MB)
    • 009 Example (truth table)_en.srt (7.4 KB)
    • 010 Example (consistency).mp4 (111.0 MB)
    • 010 Example (consistency)_en.srt (6.1 KB)
    • 011 Example (include).mp4 (109.8 MB)
    • 011 Example (include)_en.srt (5.9 KB)
    • 012 Example (coverage).mp4 (135.2 MB)
    • 012 Example (coverage)_en.srt (6.7 KB)
    • 013 Example (final solution).mp4 (138.1 MB)
    • 013 Example (final solution)_en.srt (8.3 KB)
    02 - R INSTALLATION
    • 001 MAC OS installation.mp4 (87.9 MB)
    • 001 MAC OS installation_en.srt (5.9 KB)
    • 002 WINDOWS installation.mp4 (27.3 MB)
    • 002 WINDOWS installation_en.srt (7.2 KB)
    • 003 Recommended reading.html (0.2 KB)
    03 - INTRODUCTION TO R
    • 001 Introduction and working directory.mp4 (30.9 MB)
    • 001 Introduction and working directory_en.srt (4.1 KB)
    • 002 Workspace.mp4 (12.6 MB)
    • 002 Workspace_en.srt (1.9 KB)
    • 003 Type of objects.mp4 (65.0 MB)
    • 003 Type of objects_en.srt (9.1 KB)
    • 004 Indexing and subsetting.mp4 (25.1 MB)
    • 004 Indexing and subsetting_en.srt (8.8 KB)
    • 005 RStudio.mp4 (40.4 MB)
    • 005 RStudio_en.srt (4.7 KB)
    • 006 RECOMMENDED READINGS.html (0.5 KB)
    04 - EXAMPLE OF fsQCA APPLICATION TO BANK FAILURE
    • 001 Data loading.mp4 (104.8 MB)
    • 001 Data loading_en.srt (11.1 KB)
    • 002 Missing values and variables.mp4 (74.4 MB)
    • 002 Missing values and variables_en.srt (7.3 KB)
    • 003 Row names.mp4 (21.4 MB)
    • 003 Row names_en.srt (2.6 KB)
    • 004 Outcome calibration.mp4 (87.0 MB)
    • 004 Outcome calibration_en.srt (10.5 KB)
    • 005 Condition calibration R20.mp4 (116.1 MB)
    • 005 Condition calibration R20_en.srt (12.7 KB)
    • 006 Condition calibration R22 and R11.mp4 (93.3 MB)
    • 006 Condition calibration R22 and R11_en.srt (7.8 KB)
    • 007 Condition calibration R14, R15 and LOGA.mp4 (112.0 MB)
    • 007 Condition calibration R14, R15 and LOGA_en.srt (9.7 KB)
    • 008 Selection of fuzzy set variables.mp4 (62.1 MB)
    • 008 Selection of fuzzy set variables_en.srt (4.4 KB)
    • 009 Truth table.mp4 (119.3 MB)
    • 009 Truth table_en.srt (9.8 KB)
    • 010 Complex solution.mp4 (20.7 MB)
    • 010 Complex solution_en.srt (7.3 KB)
    • 011 Complex solution clarification.mp4 (58.7 MB)
    • 011 Complex solution clarification_en.srt (5.4 KB)
    • 012 Parsimonious solution.mp4 (106.6 MB)
    • 012 Parsimonious solution_en.srt (10.9 KB)
    • 013 Intermediate solution.mp4 (117.7 MB)
    • 013 Intermediate solution_en.srt (11.4 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Introduction to fsQCA using R



https://CourseMega.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 35 lectures (4h 36m) | Size: 2.12 GB

Hands on causal relationships

What you'll learn
fsQCA as an analysis of set relations. Sets are usually composed of numbers, or other sets of things.
In fsQCA, the variables are transformed into sets. Then, it is analyzed what combination of causal sets (dependent variables) produces the outcome set.
There are many advantages fsQCA has over traditional correlational analysis like regression: Relationships are asymmetrical, Equifinality and Causal complexity
FsQCA differs from regression analysis in the way it focuses on problems. The focus is on what conditions lead to a given outcome

Requirements
You will learn everything. No previous experience is needed about R programming language.



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Udemy - Introduction to fsQCA using R

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2.7 GB
seeders:6
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Udemy - Introduction to fsQCA using R

Torrent hash: 6E692C644611BD3A41230726507F551B2502170B