Principal components analysis in SPSS illustration 2

Video illustrates use of Principal components analysis in SPSS. Begins with illustration of reverse-coding items from a survey. Then illustrates assessing appropriateness of PCA/factor analysis using KMO and Bartlett's test of sphericity. Reviews use of Kaiser criterion (eigenvalue cutoff of 1), scree plot, and parallel analysis to determine number of components to maintain. Reviews use of Varimax rotation in interpreting component loadings. Parallel analysis demonstration provided using Parallel analysis engine found at ires.ku.edu/~sm...

[@mikecrowson2462]

HI EVERYONE, I HAVE JUST UPLOADED (OCTOBER 2019) AN NEW VIDEO ON THIS TOPIC ALONG WITH ADDITIONAL INSTRUCTIONAL MATERIALS (DATASET & Powerpoint) THAT CAN BE DOWNLOADED) AT: ruclips.net/video/6Ycw3_iQHD0/видео.html . THIS VIDEO USES A DIFFERENT PARALLEL ANALYSIS ENGINE. Additionally, another new video uploaded in 2018 can be accessed here: ruclips.net/video/abQA0n83hBQ/видео.html . You can also download the data for that video as well underneath the video descriptionPlease be sure to check these out!