#20 Factor Analysis

Update: 2020-12-02

Description

Reducing complexity
Factor analysis reduces complexity of data by extracting a few factors. It delivers underlying coordinates in an otherwise complicated set of variables. We use factor analysis for instance to understand the basic independent dimensions of personality.

All slides to the entire series can be downloaded for free here: https://armintrost.de/en/professor/digital/social-research-methods/

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In Channel

#24 The Psychology of Writing a Thesis

2021-12-0936:20

#23 Academic Writing

2020-12-2024:37

#22 Multidimensional Scaling

2020-12-0215:16

#21 Multiple Regression Analysis

2020-12-0213:05

#20 Factor Analysis

2020-12-0224:56

#19 Variance Analysis

2020-12-0128:13

#18 Hypothesis Testing

2020-12-0118:55

#16 Estimating Mean and Standard Deviation of Population

2020-12-0118:53

#17 Z Distribution

2020-12-0110:39

#15 Bivariate Statistics

2020-10-2623:35

#14 Descriptive Statistics

2020-10-2633:21

#13 Nominal, Ordinal, Interval and Ratio Data

2020-10-2620:43

#12 Sampling

2020-10-2637:58

#11 Research Design (Part 2)

2020-10-2639:36

#10 Research Design (Part 1)

2020-06-2335:21

#09 Systematic Observation & Content Analysis

2020-06-1640:53

#08 Survey Design (Part 2)

2020-06-1638:36

#07 Survey Design (Part 1)

2020-05-1837:28

#06 Validity, Reliability & Objectivity

2020-05-1822:09

#05 Testing

2020-05-1826:22

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#box-pro-ellipsis-175755398969096{-webkit-line-clamp:2;}#20 Factor Analysis

#20 Factor Analysis

Armin Trost

#20 Factor Analysis