The objective of the book is to help the students and researchers to undertake statistical analysis using pasw spss software. The spss software package was created for the management and statistical analysis of social science data. Each chapter deals with a different type of analytical procedure applied to one or more data sets primarily although not exclusively from the social and behavioral areas. This process is used to identify latent variables or constructs. The guide will also explain how to perform posthoc tests to investigate significant results further. Spss factor can add factor scores to your data but this is often a bad idea for 2 reasons. A full structural equation model or fullsem is just path analysis, but using latent variables, instead of simple directly observed variables. Mds multidimentional scaling are use to know similarity between two or more things like between firm a and b, c, d. Extensive use of fourcolor screen shots, clear writing, and step by step. This guide will explain, step by step, how to perform a oneway anova test in the spss statistical software by using an example.
The plot above shows the items variables in the rotated factor space. Note that we continue to set maximum iterations for convergence at 100 and we will see why later. Now i could ask my software if these correlations are likely, given my theoretical factor model. Factor analysis in spss to conduct a factor analysis. Be able to select and interpret the appropriate spss output from a principal component analysis factor analysis. Factor analysis fa will be done by iterative principal axis paf method which is based on pca approach and thus makes one able to compare pca and fa step by step. Running a common factor analysis with 2 factors in spss. In this case, im trying to confirm a model by fitting it to my data. Factor analysis can be used to simplify data, such as reducing the number of variables in regression models. It provides a selfcontained resource itself, with more than simply detailed and clear step by step descriptions of statistical procedures in spss.
The factor procedure that is available in the spss base module is essentially limited to exploratory factor analysis efa. Exploratory factor analysis efa validation of psychometric measures confirmatory factor analysis cfa cannot be done in spss, you have to use e. Books giving further details are listed at the end. The offdiagonal elements the values on the left and right side of diagonal in the table below should all be. Through work and school i have used eviews, sas, spss, r, and stata. You can do this by clicking on the extraction button in the main window for factor analysis see figure 3. Principal components pca and exploratory factor analysis. Spss is short for statistical package for the social sciences, and its used by various kinds of researchers for complex statistical data analysis. This video provides a brief overview of how to use amos structural equation modeling program to carry out confirmatory factor analysis of survey. This book is the first guide to spss that employs examples directly from the field of sport and exercise. Factor analysis is frequently used to develop questionnaires. The theory of factor analysis was described in your lecture, or read field 2005 chapter 15. Factor transformation matrix this is the matrix by which you multiply the unrotated factor matrix to get the rotated factor matrix. How can i run confirmatory factor analysis cfa in spss.
As suggested by others, for confirmatory factor analysis you will have to use special software like amos, lisrel, eqs etc. Here we will discuss some data management tasks in a very commonly used data analysis software in doctoral research. Click on the descriptives button and its dialogue box will load on the screen. Highlight related variables and send them to variables. Spss will extract factors from your factor analysis. Below i will do, step by step, principal component analysis pca of iris data setosa species only and then will do factor analysis of the same data. A step by step illustration of using factor in spss in a confirmatory factor analysis. From the menu bar select analyze and choose data reduction and then click on factor. Its pretty common to add the actual factor scores to your data. Factor analysis using spss 2005 university of sussex.
Factor analysis in spss to conduct a factor analysis, start from the analyze menu. This procedure is intended to reduce the complexity in a set of data, so we choose data reduction. Spss does not include confirmatory factor analysis but those who are interested could take a look at amos. Steps done in factor analysis compared to steps done in. Spss software for data analysis research guides at. Although we concentrate largely on how to use spss. If you have not chosen to retain the number of components initially presented by spss statistics i. This simply involves a number of additional steps where you.
Like many people with graduate degrees, i have used a number of statistical software packages over the years. To run a factor analysis, use the same steps as running a pca analyze dimension reduction factor except under method choose principal axis factoring. This presentation will explain efa in a straightforward, nontechnical manner, and provide detailed instructions on how to carry out an efa using the spss. Andy field page 1 10122005 factor analysis using spss the theory of factor analysis was described in your lecture, or read field 2005 chapter 15.
Sometimes to obtain an output of mds, we face a difficult step. Topics to discuss include identification, model fit, and degrees of freedom demonstrated through a threeitem, twoitem and eightitem one factor cfa and a two factor. The rest of the output shown below is part of the output generated by the spss syntax shown at the beginning of this page. If the factor structure is similar to what you propose number of factors. How to test the validity of a questionnaire in spss. The data analysis was conducted using spss and amos software programme packages for windows. Spss in simple steps is very useful for all students, researchers and faculty members who need to analyze quantitative data in their research work.
For the latter portion of the seminar we will introduce confirmatory factor analysis cfa, which is a method to verify a factor structure that has already been defined. An excellent introduction to using spss for data analysis. With respect to correlation matrix if any pair of variables has a value less than 0. Be able to carry out a principal component analysis factor analysis using. Be able explain the process required to carry out a principal component analysis factor analysis.
What is spss and how does it benefit survey data analysis. Learn about the ttest, the chi square test, the p value and more duration. Exploratory factor analysis in spss october, 2019 duration. The purpose of factor analysis is to reduce many individual items into a fewer number of dimensions. Conduct and interpret a factor analysis statistics solutions. Within this dialogue box select the following check boxes univariate descriptives, coefficients, determinant, kmo and bartletts test of sphericity, and reproduced. Confirmatory factor analysis using amos data youtube. The 5 step exploratory factor analysis protocol step 1.
I am using likert scale and ordinal data for conducting study on public transport industry. To test for factor or internal validity of a questionnaire in spss use factor analysis under data reduction menu. Principal components analysis pca using spss statistics. Principal component analysis can be performed in sas using proc princomp, while it can be performed in spss using the analyzedata reduction factor analysis menu selection. Example factor analysis is frequently used to develop questionnaires. A simple guide and reference, fifteenth edition, takes a straightforward, step by step approach that makes spss software clear to beginners and experienced researchers alike. Figure 5 the first decision you will want to make is whether to perform a principal components analysis or a principal factors analysis. Sample size although sample size is important in factor analysis, there are varying opinions. Twoway anova in spss statistics stepbystep procedure. The twoway anova compares the mean differences between groups that have been split on two independent variables called factors. Spss does not offer structural equation modeling techniques. Factor analysis was performed to extract and decide on the number of factors.
1426 1311 743 1295 713 1122 612 964 130 651 539 1093 1469 1473 431 726 823 881 795 1010 944 1073 836 961 547 568 1030 198 180 731 444 1459 489 263 1338 108 671