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Everything about Scree plot
Diagnostic plot in multivariate statistics
In multivariate statistics, a scree plot is a line plot of the eigenvalues of factors or principal components in an analysis. The scree plot is used to determine the number of factors to retain in an exploratory factor analysis (FA) or principal components to keep in a principal component analysis (PCA). The procedure of finding statistically significant factors or components using a scree plot is also known as a scree test. Raymond B. Cattell introduced the scree plot in 1966. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Scree plotA 5-minute orientation
- Pick up a classic book: Encyclopedia of Measurement and Statistics 3-Volume SetThe most-reprinted book on the subject
- Read the landmark paper: Automatic dimensionality selection from the scree plot via the use of profile likelihoodCited 320 times
- Go sideways: Parallel analysisA closely related topic
- Go sideways: Exploratory factor analysisA closely related topic
📖 Definitions
Noun A graph of the eigenvalues of factors
🏆 Landmark papers (most cited)
Automatic dimensionality selection from the scree plot via the use of profile likelihood
Determining The Correct Number Of Components To Extract From A Principal Components Analysis: A Monte Carlo Study Of The Accuracy Of The Scree Plot
Factors Affecting Reliability of Interpretations of Scree Plots
FACTORS AFFECTING RELIABILITY OF INTERPRETATIONS OF SCREE PLOTS
An heuristic scree plot criterion for the number of factors
The Square-Root Scree Plot: A Simple Improvement to a Classic Display
Scree Plots, Data Structure, and Random Variance
SCREE PLOT METHOD AS A BASIS OF SOLVING METROLOGICAL TASKS IN SOCIAL AND HUMANITARIAN KNOWLEDGE FIELDS (ON THE EXAMPLE OF THE OBJECTIVES OF ECONOMICS, PEDAGOGICS AND SOCIOLOGY)
📚 Books worth reading
Encyclopedia of Measurement and Statistics 3-Volume SetNeil J. Salkind · 2006
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Parallel analysis Parallel analysis, also known as Horn's parallel analysis, is a statistical method used to determine the number of components to keep in a principal component…
- Exploratory factor analysis In multivariate statistics, exploratory factor analysis (EFA) is a statistical method used to uncover the underlying structure of a relatively large set…
- Factor analysis Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved…
- Raymond Cattell Raymond Bernard Cattell (20 March 1905 – 2 February 1998) was a British-American psychologist, known for his psychometric research into intrapersonal psychologi…
- Principal component analysis Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data…
- Multivariate statistics Multivariate statistics is a subdivision of statistics encompassing the simultaneous observation and analysis of more than one outcome variable, i.e.,…
- Correspondence analysis Correspondence analysis (CA) is a multivariate statistical technique proposed by Herman Otto Hartley (Hirschfeld) and later developed by Jean-Paul Benzécri…
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