/Parent 3 0 R /MediaBox [0 0 612 792] Factor Analysis Rachael Smyth and Andrew Johnson Introduction Forthislab,wearegoingtoexplorethefactoranalysistechnique,lookingatbothprincipalaxisandprincipal Step 7: The next article will discuss the interpretation of its output i.e. /ProcSet [/PDF /ImageC /Text] /MediaBox [0 0 612 792] C8057 (Research Methods II): Factor Analysis on SPSS Dr. Andy Field Page 5 10/12/2005 Interpreting Output from SPSS Select the same options as I have in the screen diagrams and run a factor analysis with orthogonal rotation. SPSS Tutorial AEB 37 / AE 802 Marketing Research Methods Week 7. Statistics: 3.3 Factor Analysis Rosie Cornish. Finally, we provide a careful explanation of each table and graph in the SPSS output. Complete the following steps to interpret a factor analysis. It’s worth having a quick glance at the descriptive statistics generated by SPSS. An orthogonal rotation method that minimizes the number of variables that have high loadings on each factor. /Contents 34 0 R �а$*{fX�y����'(�K�+���u8 HE�;���0�!���{ig�1h���M��@4�آ���}\f IBKO�+�="����������נ"�t���tp�@'*eK�t>s�I��'�͵Z��*�%BIVpz�z���z�?��]�R�Įp��m� /ColorSpace 33 0 R /ExtGState 71 0 R /XObject 49 0 R Factor Analysis Researchers use factor analysis for two main purposes: 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 … provides techniques for the analysis of multivariate data, specifically for factor analysis, cluster analysis, and discriminant analysis (see Chapters 11 and 12). Factor analysis and SPSS: Factor analysis can be performed in SPSS by clicking on “analysis” from menu, and then selecting “factor” from the data reduction option. /Producer (Nitro PDF PrimoPDF) << 18 0 obj Books giving further details are listed at the end. Interpretation of Factor Analysis using SPSS. Factor Analysis Spss Output Interpretation PDF - Free download as PDF File (.pdf), Text File (.txt) or read online for free. /ExtGState 46 0 R /Resources << 2. /ProcSet [/PDF /ImageC /ImageI /Text] endobj Finally, some critical issues concerning the appropriate (and not-so-appropriate) use of factor analysis … /ExtGState 76 0 R /XObject 65 0 R To detect if a variable is a multivariate outlier, one must know the … factor analysis is illustrated; through these walk-through instructions, various decisions that need to be made in factor analysis are discussed and recommendations provided. /Contents 44 0 R example of how to run an exploratory factor analysis on SPSS is given, and finally a section on how to write up the results is provided. /CreationDate (D:20160531153509-04'00') /MediaBox [0 0 612 792] If you do not know the number of factors to use, first perform the analysis … /Type /Pages Allows you to select the method of factor rotation. You’ll see the result pop up in the Output Viewer. /ProcSet [/PDF /ImageC /ImageI /Text] … endobj data and getting SPSS to accomplish the analysis of the data. High values (close to 1.0) generally indicate that a factor analysis may be useful with your data. Interpreting SPSS Correlation Output Correlations estimate the strength of the linear relationship between two (and only two) variables. /ExtGState 80 0 R /Kids [5 0 R 6 0 R 7 0 R 8 0 R 9 0 R 10 0 R 11 0 R 12 0 R 13 0 R 14 0 R 15 0 R 16 0 R 17 0 R 18 0 R 19 0 R 20 0 R] 19 0 obj /Resources << Be able to carry out a Principal Component Analysis factor/analysis using the psych package in R. Be able to demonstrate that PCA/factor analysis can be undertaken with either raw data or a set of … /Metadata 4 0 R /MediaBox [0 0 612 792] Be able to carry out a Principal Component Analysis factor/analysis using the psych package in R. The general form of a bivariate regression equation is “Y = a + bX.” SPSS calls the Y variable the “dependent” variable and the X variable the “independent variable.” I think this notation is misleading, since regression analysis is frequently used with data collected by nonexperimental For analysis and interpretation purpose we are only concerned with Extracted Sums of Squared Loadings. /ColorSpace 72 0 R /Resources << /XObject 41 0 R Correlation coefficients range from -1.0 (a perfect negative correlation) to positive 1.0 (a perfect positive correlation). /MediaBox [0 0 612 792] Generally, SPSS can extract as many factors as we have variables. /ProcSet [/PDF /Text] The principles of reliability analysisreliability analysis and how to carry it out in SPSS. /Annots [21 0 R 22 0 R] Cluster Analysis • It is a class of techniques used to classify cases into groups that are relatively homogeneous within themselves and heterogeneous between each other, on the basis of a defined set of variables. /Type /Page /Parent 3 0 R Varimax Method. C8057 (Research Methods II Factor Analysis on SPSS Dr. Andy Field Page 5 1/6/2004 Interpreting Output from SPSS Select the same options as I have in the screen diagrams and run a factor analysis with orthogonal rotation. << /ExtGState 53 0 R << /Length 5 0 R /Filter /FlateDecode >> << Be able explain the process required to carry out a Principal Component Analysis/Factor analysis. /ProcSet [/PDF /ImageC /ImageI /Text] /Resources << /P 5 0 R ad67e67a-05f6-11e3-0000-fdc1fd4f101a 1.6The Output Viewer 1.7The Chart Editor 1.8Programming in SPSS 2 Data Description and Simple Inference for Continuous Data: The Lifespans of Rats and Ages at Marriage in the U.S. 2.1Description of Data 2.2Methods of Analysis. If the factor were measurable directly (which it /ProcSet [/PDF /ImageB /ImageC /ImageI /Text] Exploratory Factor Analysis Page 3 An output page will be produced… Minimize the output page and go to the Data View page. << /Parent 3 0 R Factor Analysis Using SPSS Overview For this computer assignment, you will conduct a series of principal factor analyses to examine the factor structure of a new instrument developed to assess cognitive interference individuals experience in an evaluative situation. This handout provides basic instructions on how to answer research questions and test hypotheses using linear regression (a technique which examines the … Key output includes factor loadings, communality values, percentage of variance, and several graphs. Review your options, and click the OK button. With ANOVA, the independent variable can have as many levels as desired. /Contents 39 0 R 5 0 obj Interpreting SPSS Output for Factor Analysis - YouTube example of how to run an exploratory factor analysis on SPSS is given, and finally a section on how to write up the results is provided. >> endobj /NM (29b160e1-7a37-4f55-8b59c25bfce431f1) /URI (http://dx.doi.org/10.20982/tqmp.09.2.p079) /ColorSpace 43 0 R Be able to select and interpret the appropriate SPSS output from a Principal Component Analysis/factor analysis. >> data and getting SPSS to accomplish the analysis of the data. /Subtype /XML 21 0 obj /Contents 73 0 R /Font 45 0 R These groups are … Factor-analysis-spss-output-interpretation-pdf endobj /XObject 75 0 R Once there, you will need to scroll over to the last column to see the Mahalanobis results for all 44 variables. What Is Factor Analysis? Rotation. /ProcSet [/PDF /Text] The number of factors “worth keeping” ranges /MediaBox [0 0 612 792] /ProcSet [/PDF /ImageC /Text] 16 0 obj The variables used in factor analysis should be linearly related to each other. /Type /Page You should also understand how to interpret the output from a multiple linear regression analysis. endobj %��������� Therefore, the reliability of factor analysis is also dependent on sample size. e+��a7��ێbF}~��9�(��.t`Dg�Ī� �.l. /Font 82 0 R 4 0 obj /Type /Page /Contents 63 0 R SPSS will extract factors from your factor analysis. >> This method simplifies the interpretation of the factors. << /XObject 83 0 R Download PDF. << Be able to select and interpret the appropriate SPSS output from a Principal Component Analysis/factor analysis. The dependent (Y) variable is always ordinal or ratio data while the independent (X) variable is always nominal data (or other data that’s converted to be nominal). /Parent 3 0 R In the Factor Analysis window, click Scores and select Save As Variables, Regression, Display Factor Score Coefficient Matrix. 31 Full PDFs related to this paper. Obviously the variables must also be at least moderately correlated to each other, otherwise the number of factors will be almost the same … /Contents 29 0 R >> 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. Here one should note that Notice that the first factor accounts for 46.367% of the variance, the second 18.471% and the third 17.013%. 2 0 obj >> Factor-analysis-spss-output-interpretation-pdf /Rect [432 741.6 558.75 755.85] /C [1 0 0] Microsoft Word - p079_vTypesetted.docx endstream /MediaBox [0 0 612 792] << /Type /Page /XObject 31 0 R Download Full PDF Package. >> 9 0 obj This paper. /A << endobj 2. /F 132 endobj Statistical Analysis Using IBM SPSS – Factor Analysis Example- Supplementary Notes Page 3 V 2 = L 2 *F 1 + E 2 V 3 = L 3 *F 1 + E 3 Each variable is composed of the common factor (F 1) multiplied by a loading coefficient (L 1, L 2, L 3 - the lambdas) plus a unique or random component. Specifically, suggestions for how to carry out preliminary procedures, EFA, and CFA are provided with SPSS and LISREL syntax examples. /XObject 79 0 R /Font 48 0 R /Type /Catalog … Factor Analysis Rotation. /Resources << 12 0 obj /NM (8938fdc6-c49a-464c-8c4cfb08c893f3fa) For this to be understandable, however, it is necessary to discuss the theory behind factor analysis. >> The dialog box Extraction… allows us to specify the extraction method and the cut-off value for the extraction. >> Our goal is to ensure that the reader has a complete understanding of the output, which will greatly enhance his or her ability to accurately interpret factor analysis. EXPLORATORY FACTOR ANALYSIS: USING SPSS. >> Right. endobj >> 16. >> >> /MediaBox [0 0 612 792] order to use this text for data analysis, your must have access to the SPSS for Windows 14.0 software package. 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