By Jason W. Osborne
Exploratory issue research with SAS focuses exclusively on EFA, proposing an intensive and sleek treatise at the assorted ideas, in available language unique to the training statistician or researcher. This ebook presents real-world examples utilizing genuine facts, assistance for enforcing most sensible practices within the context of SAS, interpretation of effects for finish clients, and it offers assets at the book’s writer web page. college educating with this e-book can make the most of those assets for his or her periods, and person clients can study at their very own velocity, reinforcing their comprehension as they go.
Exploratory issue research with SAS stories all the significant steps in EFA: info cleansing, extraction, rotation, interpretation, and replication. The final step, replication, is mentioned much less usually within the context of EFA yet, as we convey, the consequences are of substantial use. eventually, different practices which are in general utilized in EFA, estimation of issue rankings and higher-order elements, are reviewed. most sensible practices are highlighted during the chapters.
A rudimentary operating wisdom of SAS is needed yet no familiarity with EFA or with the SAS workouts which are relating to EFA is believed.
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Additional info for Exploratory Factor Analysis with SAS
But as with many of our endeavors in the social sciences, this might not hold true when put to the test. For example, it is just as likely that all items will load as a single factor, or that a different number of factors will be ideal. We used a ULS extraction for this data based on results from Chapter 2. The syntax to examine the extraction criteria for this data set is presented below. Please note that PROC FACTOR automatically deletes records with missing data from analysis, thereby reducing our sample of 656 down to 479.
58 How Many Factors? Scholars have been arguing about this issue for the better part of a century. There are many who will argue passionately that one method is superior to another, and some methods do seem to be more defensible than others. However, it seems to me that much of the argument comes from a high-stakes mentality where researchers are attempting to confirm one factor structure as superior to another. Let us again repeat our mantra for this book: EFA is exploratory and should be considered a low-stakes process.
This is much less pronounced than the previous inflection point but, based on these results, we can consider exploring a three-factor solution in addition to a two-factor solution. 3 Scree plot from ODS MAP and parallel analysis. The last two extraction criteria are a little trickier to use. As we mentioned above, one barrier to researchers using MAP and parallel analysis is that these procedures are not widely implemented in most common statistical software, including SAS. Fortunately, O’connor (2000) developed SAS syntax to perform these analyses.