Two Criteria for Better Imputationsīetter, although still problematic, imputation methods have two qualities. Mean imputation, in which each missing value is replaced, or imputed, with the mean of observed values of that variable, is not the only type of imputation, however. You probably learned about mean imputation in methods classes, only to be told to never do it for a variety of very good reasons. He is one of the most experienced and well-regarded trainers in the analytics space.Imputation as an approach to missing data has been around for decades. Jarlath QuinnĪ veteran of the Predictive Analytics industry, Jarlath Quinn has worked for SAS, IBM and SPSS delivering predictive analytics solutions for major telecommunications, financial services, utilities, retail and government organisations. Once we have received payment from you, we will send you a personalised link that will enable you to log into the webinar on the day of the training session.
FACTOR ANALYSIS SPSS 20 HOW TO
FACTOR ANALYSIS SPSS 20 SOFTWARE
Anyone who is using SPSS Statistics and wants to understand how to perform factor or cluster analysis in the software.Students and academics who need to use factor or cluster analysis in their research.“The course was excellent, to the point and not too technical, exactly what I’ve been looking for for a while.” Lawrence Monk, Forecasting Team Leader, Transport for Greater Manchester “Well presented, grounded in practical use, well described terminology” You’ll also have access to a recording of the webinar which you can watch again as many times as you like. Performing principal component analysisĪfter the session you’ll get a training pack including all the example data files and session outputs so that you can continue to study in your own time.The 90 minute training session will include: Identifying suspicious or anomalous financial transactions.Creating charity supporter segments based on their donations.Clustering similar retail outlets based on their sales patterns.Segmenting consumers according to their purchase behaviours.Factor analysis can be used to generate a score for individual people completing personality tests showing where they lie on behavioural dimensions such as introversion-extroversionĬluster analysis is also used in a wide range of applications for the commercial and not-for-profit organisations, such as:.Variants of factor analysis, such as principal components analysis (PCA) can be used to reduce the number of input fields in predictive models by generating composite variables.
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FACTOR ANALYSIS SPSS 20 DRIVERS
Using factor analysis, an automotive company with 20 drivers of customer satisfaction can reduce them down to 3 underlying key themes/pillars: product, service and brand.All the materials presented were helpful and the delivery accessible.”ĭaniel Staetsky, Senior Research Fellow, Institute for Jewish Policy Researchįactor analysis is a data reduction technique used to identify underlying themes (“factors”) among a range of attributes/variables: It was well-paced and operates with relevant examples. “ The webinar provided a clear and well-structured introduction into the topic of the factor analysis.
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Join us on this 90 minute training webinar to learn about conducting factor and cluster analysis in IBM SPSS Statistics. Factor and Cluster Analysis with IBM SPSS Statistics training webinar