Confirmatory factor analysis cfa is used to study the relationships between a set of observed variables and a set of continuous latent variables. Berikut ini akan diberikan contoh soal dalam menyelesaikan uji confirmatory factor analysis dengan spss. In this example we have included many options, including the original and reproduced correlation matrix, the scree plot and the plot of the rotated factors. You have to use lisrel, amos, eqs, or mplus to perform such analysis. Uji confirmatory factor analysis dengan spss belajar spss. Is there any way to run confirmatory factor analysis in spss. In this paper an example will be given of the use of factor analysis. This video provides a brief overview of how to use amos structural equation modeling program to carry out confirmatory factor analysis of survey scale items. Dans ce tutoriel, nous decrirons trois techniques danalyse factorielle pour variables quantitatives. This video demonstrates how interpret the spss output for a factor analysis.
When the observed variables are categorical, cfa is also referred to as item response theory irt analysis fox, 2010. Factor analysis in spss principal components analysis part 1 in this video, we look at how to run an exploratory factor analysis principal components analysis in spss part 1 of 6. Run this stepbystep example on a downloadable data file. The basic assumption of factor analysis is that for a collection of observed variables there are a. Factor analysis is used in many fields such as behavioural and social sciences, medicine, economics, and geography as a result of the technological advancements of computers. Definition of an basic report of a factor analysis. Pfa principal factor analysis2 is often confused with pca. Sebenarnya untuk melakukan uji confirmatory factor analysis dapat dilakukan juga dengan menggunakan program spss yaitu melalui analisis faktor. Confirmatory factor analysis right, so after measuring questions 1 through 9 on a simple random sample of respondents, i computed this correlation matrix. Confirmatory factor analysis using amos data youtube. As an exercise, lets first assume that spss anxiety is the only factor that explains common variance in all 7 items. The theory of factor analysis was described in your lecture, or read field 2005 chapter 15. Epq see item analysis and factor analysis with spss escalate see threeway nonhierarchical loglinear analysis.
Focusing on exploratory factor analysis quantitative methods for. Factor analysis using spss this video describes how to perform a factor analysis using spss and interpret the results. Spss factor analysis absolute beginners tutorial spss tutorials. Principal component analysis acp, principal factor analysis, harris. Recall from our exploratory analysis that items 1,2,3,4,5, and 8 load onto each other and items 6 and 7 load onto the same factor. The two main factor analysis techniques are exploratory factor analysis efa and confirmatory factor analysis cfa.
Now i could ask my software if these correlations are likely, given my theoretical factor model. This video describes how to perform a factor analysis using spss and interpret the results. The factor procedure that is available in the spss base module is essentially limited to exploratory factor analysis efa. Interpreting spss output for factor analysis youtube. This video goes over some concepts of factor analysis, as well as how to run and interpret a factor analysis in spss.
Very generally this is the basic idea of factor analysis. In spss a convenient option is offered to check whether the sample is big enough. As suggested by others, for confirmatory factor analysis you will have to use special software like amos, lisrel, eqs etc. Kali ini akan membahas confirmatory factor analysis atau yang disebut juga uji validitas dalam spss. How can i run confirmatory factor analysis cfa in spss. Factor analysis and item analysis applying statistics in behavioural. Spss does not offer structural equation modeling techniques. Results including communalities, kmo and bartletts test, total.
468 26 144 499 866 430 1306 881 1046 654 865 1469 532 703 243 979 161 714 324 1438 48 1413 400 80 835 1224 1089 480 295 344 1459 457