Documentation Example 3 for PROC FACTOR

This script illustrates how to use PROC FACTOR with PARALLEL and PLOTS options for factor analysis. It creates an internal dataset, 'SocioEconomics', then applies PROC FACTOR to analyze the provided variables, including a parallel scree plot test to help identify the optimal number of factors. The reference for this method is Harman (1976), Modern Factor Analysis, 3rd edition.

Data Analysis

Type : CREATION_INTERNE

The 'SocioEconomics' dataset is created directly in the SAS script using a DATA step with in-line data (datalines).

1 Code Block

DATA STEP Data

Explanation :
This block creates the 'SocioEconomics' dataset which contains demographic and economic information. Variables include Population, School, Employment, Services, and House Value. Data is entered directly into the script via the DATALINES statement.

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1	DATA SocioEconomics;
2	INPUT Population School Employment Services HouseValue;
3	DATALINES;
4	5700 12.8 2500 270 25000
5	1000 10.9 600 10 10000
6	3400 8.8 1000 10 9000
7	3800 13.6 1700 140 25000
8	4000 12.8 1600 140 25000
9	8200 8.3 2600 60 12000
10	1200 11.4 400 10 16000
11	9100 11.5 3300 60 14000
12	9900 12.5 3400 180 18000
13	9600 13.7 3600 390 25000
14	9600 9.6 3300 80 12000
15	9400 11.4 4000 100 13000
16	;

2 Code Block

ODS

Explanation :
This statement activates the ODS Graphics system, enabling the generation of high-quality graphics from SAS procedures, particularly for visualizing PROC FACTOR results.

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1	ods graphics on;

3 Code Block

PROC FACTOR

Explanation :
This block executes the FACTOR procedure on the 'SocioEconomics' dataset. The `parallel` option requests a parallel scree plot test to help determine the number of factors. `alpha=0.01` sets the significance level, `nsims=10000` the number of simulations, and `seed` the seed for reproducibility. The `map` option and `plots=(parallel map)` request specific graphics, including the parallel scree plot and the MAP (Minimum Average Partial) for visual decision aid.

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1	PROC FACTOR DATA=SocioEconomics
2	parallel(alpha=0.01 nsims=10000 seed=20170229) map
3	plots=(parallel map);
4	RUN;

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