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DTSTART;TZID=UTC+0:20170918T120000
DTEND;TZID=UTC+0:20170918T160000
DTSTAMP:20231206T134108
CREATED:20170313T142030Z
LAST-MODIFIED:20170612T175257Z
UID:845-1505736000-1505750400@www.percontor.org
SUMMARY:Factor analysis using SPSS
DESCRIPTION:A 4-hour workshop taught by Mary Ann Coughlin\, D.P.E. \nRegister\nOverview\nFactor analysis is a statistical technique commonly used to establish evidence of survey instrument validity. Exploratory factor analysis explores the relationships among variables to discover if those variables can be grouped into a smaller set of underlying factors. Often researchers and applied practitioners are faced with the difficult task of summarizing numerous variables from a survey and want to reduce the data into a smaller set of factors. The workshop will review the basic statistical principles of factor analysis and will use a case study example from a college senior survey to analyze and interpret Exploratory Factor analysis using SPSS. \nExpected outcomes\nBy the end of the workshop\, participants should understand exploratory factor analysis well enough to begin using it in their research. They will understand when to use exploratory factor analysis\, and how to run and interpret output from exploratory factor analysis. \nPricing and Schedule\nTime: Monday\, September 18\, 12PM to 4PM (EST)\nCost: $175\nLocation: Online \nWe offer $25 graduate student and multiple workshop discounts. Find out about our discounts here. \nTime permitting\, at the end of the class the instructor will answer questions about participants’ specific research projects. Participants can ask questions via chat\, microphone\, or telephone. In order to allow sufficient time for questions\, the number of workshop participants is limited to 30. \nWho should attend?\nThe target audience is researchers who are familiar with the basic concepts of correlation and the process of establishing the validity of psychometric instruments\, but are not familiar with factor analysis\, and wish to begin using it in their research (or those researchers looking for a quick refresher). This is an applied course\, so no advanced math skills are required; however\, you should understand how to interpret correlation coefficients and the basic principles of validity. Software demonstrations will use SPSS\, but output will be described in such a manner that participants can understand and interpret factor analyses using other statistical software. \nAgenda\n\nWhat are the basic purposes and applications for Factor Analysis and Exploratory Factor Analysis.\nWhat are the basic assumptions of Exploratory Factor Analysis and how do those assumptions impact your analyses.\nComparison of principal components and principal axis extraction procedures for determining the initial factor structure.\nInterpreting the initial factor matrix; what are eigenvalues\, how do you determine the number of meaningful factors; problems with interpreting the initial factor matrix.\nDescription of procedures (varimax\, quartimax\, and oblique) for rotating the initial factor matrix and calculating the rotated factor matrix.\nInterpreting the rotated factor matrix; guidelines for interpreting the rotated matrix\, and naming the factors\, differences between initial communalities\, eigenvalues .\nExploring and understanding the analyses; what are the similarities and differences between initial factor matrices\, rotated factor matrices\, initial communalities\, and eigenvalues .\nComparison of varimax and oblique solutions for rotation of the initial factor matrix; what are pattern and structure matrices; how are pattern and structure matrices interpreted and how do these matrices compare to the rotated factor matrices calculated when using varimax.\n\nAbout the instructor\nMary Ann Coughlin\, D.P.E.\, is Associate Vice-President for Academic Affairs at Springfield College in Springfield\, Massachusetts. Across her tenure at Springfield College\, Mary Ann has served in a variety of positions; serving as a faculty member\, President of the Faculty Senate\, and her current administrative position in Academic Affairs. Across these positions\, she has supervised academic support services and provided leadership for outcomes assessment initiatives\, academic progress reviews\, and institutional research. \nCoughlin is a Past President of AIR and was awarded the 2012 AIR Outstanding Service Award. In addition to being well known within AIR for her training and workshops in the area of statistics and as a faculty member for the Foundations Institute and the Statistics Institute\, she also contributes significantly to the development of training materials and resources on the use of data tools for IPEDS. \nRegister\n
URL:https://www.percontor.org/upcoming-workshop/factor-analysis-using-spss/
CATEGORIES:Factor analysis,Research Methods
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