Introduction to factor analysis for marketing skim. Spssapplications data analysis luchsinger mathematics. This manual, the ibm spss statistics 20 core system users guide, documents the graphical user interface of spss statistics. Also, the antiimage covariance and correlation matrices are computed keyword aic which help to judge the factorabiliy of the correlation matrix. However, basic usage changes very little from version to version. Jean russell, bob booth quantitative data analysis using spss 15 6 2. In the factor analysis window, click scores and select save as variables, regression, display factor score coefficient matrix.
Spss windows there are six different windows that can be opened when using spss. Pdf an spss rmenu for ordinal factor analysis researchgate. Situations in which m is small relative to p is when factor analysis works best. Examples using the statistical procedures found in pasw statistics base 18 are provided in the help system, installed with the software. Note that the rotations used by spss will sometimes use the kaiser. Spss survival manual published in 2000 was to provide a simple, stepbystep guide to the process of data analysis using spss. Factor analysis lowers the info in a design by decreasing the measurements of the observations. The following will give a description of each of them. Creates one new variable for each factor in the final solution. Factor analysis is based on the correlation matrix of the variables involved, and correlations usually need a large sample size before they stabilize. Since the publication of the three editions of the spss. To cater for this mode of study, for example, attendance for one or two days at a time. A human resources manager wants to identify the underlying factors that explain the 12 variables that the human resources department measures for each applicant. However, dont be alarmed if you have an earlier version of spss e.
Statistics solutions spss manual statistics solutions. This paper offers an spss dialog written in the r programming. This guide is intended for use with all operating system versions of the software, including. Step 3analyze data using analyze menu and graphs menu.
Product information this edition applies to version 24, r elease 0, modification 0 of ibm spss statistics and to all subsequent r eleases and. Using spss to understand research and data analysis. Spss calls the y variable the dependent variable and the x variable the independent variable. Statistical analysis descriptive statistics were used to analyze the data. Each row corresponds to a case while each column represents a variable. Exploratory factor analysis efa was ap plied to the six items of the questionnaire.
The data editor the data editor is a spreadsheet in which you define your variables and enter data. Spss statistical package for the social sciences is a statistical analysis and data management software package. Alexander beaujean and others published factor analysis. Because factor analysis is an explorative analysis it does not differentiate in between reliant and independent variables. Figure 5 the first decision you will want to make is whether to perform a principal components analysis or a principal factors analysis. Spss can take data from almost any type of file and use them to generate tabulated reports, charts, and plots of distributions and trends, descriptive statistics, and conduct complex statistical analyses. The scores that are produced have a mean of 0 and a variance. Factor analysis is a technique that requires a large sample size.
Use the psych package for factor analysis and data. Rodolfo baggio course description and objectives spss statistical package for social science is a tool for the statistical analysis of data. Factor analysis spss help, spss assignment and homework. The variable view defines all variables in the data file. Many of instructions for spss 1923 are the same as they were in spss 11. Spss will not only compute the scoring coefficients for you, it will also output the factor scores of your subjects into your spss data set so that you can input them into other procedures. In addition, beneath the menus and dialog boxes, pasw statistics uses a command. An example 36350, data mining 1 october 2008 1 data. Pdf exploratory factor analysis is a widely used statistical. The goal is to provide basic learning tools for classes, research andor professional development. Research proposal should address analysis, a simple. Keyword corr prints the initial correlation matrix.
It also provides techniques for the analysis of multivariate data, speci. This presentation will explain efa in a straightforward, nontechnical manner, and provide detailed instructions on. Sas, spss, and matlab programs for extension analysis. This video describes how to perform a factor analysis using spss and interpret the results. Chapter 4 exploratory factor analysis and principal. Exploratory and confirmatory factor analyses for testing. Spss a selfguided tour to help you find and analyze data using stata, r, excel and spss. Development of psychometric measures exploratory factor analysis efa validation of psychometric measures confirmatory factor analysis cfa cannot be done in spss, you have to use e.
At some point, if you want to do serious data analysis, you have to start using syntax. The broad purpose of factor analysis is to summarize. Unlike other statistical titles it did not focus on the mathematical underpinnings of the techniques, but rather on the appropriate use of spss as a tool. Exploratory factor analysis efa validation of psychometric measures confirmatory factor analysis cfa cannot be done in spss, you have to use e. As for principal components analysis, factor analysis is a multivariate method used for data reduction purposes. I think this notation is misleading, since regression analysis is frequently used with data collected by nonexperimental. In the dissertation statistics in spss manual, the most common dissertation statistical tests are described using realworld examples, you are shown how to conduct each analysis in a stepbystep manner, examples of the test, example data set used in instruction, syntax to assist with conducting the analysis, interpretation and sample writeup of the results. Multiple regression key steps multiple regression with spss exercise. Factor analysis using spss the theory of factor analysis was described in your lecture, or read field 2005 chapter 15. The alternative methods for calculating factor scores are regression, bartlett, and andersonrubin.
Factor analysis using spss 2005 discovering statistics. Books giving further details are listed at the end. Data analysis with spss spssmethods description, testing, modeling some notes about only type of scales slide 2 cortex fellows training course, university of zurich, october 2006 program 19. Factor analysis on the questionnaire for construct validity was performed using tests contained in spss pasw version 20. Or youll waste time, make errors, and not even know it. Much like the cluster analysis organizing comparable cases, the factor analysis groups comparable variables into measurements. You can do this by clicking on the extraction button in the main window for factor analysis see figure 3. Alexander beaujean and others published factor analysis using r find, read and cite all the research you need on researchgate. Spss now opens the tutorial to the chisquare topic in the form of an internet page. Ibm spss statistics 21 brief guide university of sussex. It should not be such that a variable is only correlated with itself and no correlation exists with any other variables. Ibm spss advanced statistics 24 aalborg universitet.
Spss and sas programs for determining the number of components. Quantitative data analysis using spss pdf practical introduction to quantitative data analysis using the most widely. Spss will extract factors from your factor analysis. Factor analysis using spss 2005 university of sussex. Note befor e using this information and the pr oduct it supports, r ead the information in notices on page 103. Let y 1, y 2, and y 3, respectively, represent astudents grades in. Using spssusing spss step 1use coded questionnaire to dfi v ibl idefine variables using viblvivariable viewer. Exploratory factor analysis and principal components analysis exploratory factor analysis efa and principal components analysis pca both are methods that are used to help investigators represent a large number of relationships among normally distributed or scale variables in a simpler more parsimonious way. The good news is that spss makes it extremely easy to get started learning and getting the benefits of using syntax without having to spend endless days in front of a manual. For example, row 1 in the variable view would correspond to column 1. In addition to an example of how to use a chisquare test, the window also identifies the sample data file you can use to follow the example for yourself. Example factor analysis is frequently used to develop questionnaires.
The data view displays the contents of the data file in the form of a spreadsheet. Factor analysis researchers use factor analysis for two main purposes. Two latent constructs loadings represent the relationships from constructs to variables as in factor analysis. A read is counted each time someone views a publication summary such as the title, abstract, and list of authors, clicks on a figure, or views or downloads the fulltext. It computes the kaisermeyerolkin measure of sampling adequacy and bartletts test of sphericity these are requested with keyword kmo in the print line. This provides methods for data description, simple inference for continuous and categorical data and linear regression and is, therefore, suf. Example considerastandardproductorsatisfactionsurvey. The manager collects the ratings for 50 job applicants. It allows to perform a wide variety of statistical procedures. Tabachnick and fidell 2001, page 588 cite comrey and lees 1992 advise regarding sample size. Spss is owned by ibm, and they offer tech support and a certification program which could be useful if you end up using spss often after this class. Path estimates represent the relationships between constructs as does.
An example a study conducted to determine customers perception and attributes of an airline. Factor analysis ppt factor analysis correlation and. Main objective of the course is to provide participants with a basic knowledge of the program in. This will allow readers to develop a better understanding of when to employ factor analysis and how to interpret the tables and graphs in the output. Switching from one view to the other can be done by clicking the appropriate tab data view or variable view at the bottom of the data editor window see the.
1385 1624 14 1057 1467 311 1612 192 566 1514 1534 196 910 883 1049 1417 339 1354 198 1130 174 1453 421 727 1132 671 592 966 1475 1181 271 822 496 1477 1219 129 173 1463 5 1277 760 1244