How do you report exploratory factor analysis results?

Usually, you summarize the results of the EFA into one table which contains all items used for the EFA, their factor loadings and the names of the factors. Then you indicate in the notes of the table the method of extraction, the method of rotation and the cutting value of extracting factors.

What does an exploratory factor analysis tell you?

Exploratory factor analysis is a statistical technique that is used to reduce data to a smaller set of summary variables and to explore the underlying theoretical structure of the phenomena. It is used to identify the structure of the relationship between the variable and the respondent.

How do you report a factor loading in APA?

Factor loadings should be reported to two decimal places and use descriptive labels in addition to item numbers. Correlations between the factors 2 Page 3 should also be included, either at the bottom of this table, in a separate table, or in an appendix.

What is the outcome of factor analysis?

Factor analysis is a method of data reduction. It does this by seeking underlying unobservable (latent) variables that are reflected in the observed variables (manifest variables).

How do you interpret a factor analysis?

  1. Step 1: Determine the number of factors. If you do not know the number of factors to use, first perform the analysis using the principal components method of extraction, without specifying the number of factors.
  2. Step 2: Interpret the factors.
  3. Step 3: Check your data for problems.

What is the purpose of EFA?

EXPLORATORY FACTOR ANALYSIS: PURPOSE Exploratory factor analysis (EFA) is generally used to discover the factor structure of a measure and to examine its internal reliability. EFA is often recommended when researchers have no hypotheses about the nature of the underlying factor structure of their measure.

How do you interpret the results of factor analysis in SPSS?

Interpretation of factor analysis using SPSS

  1. Table 1: Descriptive statistics. The correlation matrix.
  2. Table 2: Correlation matrix. Kaiser Meyer Olkin (KMO) and Bartlett’s Test (measures the strength of relationship among the variables)
  3. Table 4: Communalities.
  4. Figure 1: Scree plot.
  5. Table 6: Component matrix.

What do you do after factor analysis?

You may consider running a CFA after the EFA. You can take the analysis further by using some of the techniques of structural equation modelling such as multi-group analysis or multilevel analysis.

What are factor scores in factor analysis?

Factor scores are standard scores with a Mean =0, Variance = squared multiple correlation (SMC) between items and factor. Procedure maximizes validity of estimates. Factor scores are neither univocal nor unbiased. The scores may be correlated even when factors are orthogonal.

What do factor scores mean?

A factor score is a numerical value that indicates a person’s relative spacing or standing on a latent factor. In order to develop this definition further, however, we must draw a distinction that grew out of the indeterminacy debate between “factor scores” and “factor score estimates”.

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