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Hi
A quick advertisement for a couple of statistics courses provided by Figure It Out, the statistical consultancy unit at the Institute of Work Psychology, University of Sheffield, in June/July 2010. The courses are particularly aimed at researchers, practitioners and postgraduate students from the fields of psychology, management/business, sociology, and the social sciences more generally. These courses coincide with and form part of the workshop/fringe programme for the IWP 'Well-being and Performance' Conference 2010, but are open to anyone whether or not they are attending the conference. - Monday 28th June, 2010: Multiple Regression Analysis using SPSS - Tuesday 29th June, 2010: Introduction to Multilevel Modelling using SPSS (Half-day course preceded by conference workshop on aggregation and validity of measurements) - Friday 2nd July 2010: Introduction to Structural Equation Modelling using MPlus The standard rate for the full day courses is £275, the student rate is £200; the half-day course is £140/£100. If you attend two or more of the courses you get a further 50 pound discount on the total cost. Details of the courses are given below: for further information and to book a place, go to http://www.offbeat.group.shef.ac.uk/FIO/trainingcourses.htm or email Charlotte McClelland: [hidden email] These courses, plus further courses on Data Management using SPSS Syntax and Questionnaire Scale Construction and Validation), are also available on an inhouse basis: see http://www.offbeat.group.shef.ac.uk/FIO/bespoketraining.htm cheers Chris ******* Course details for each course are as follows: ******* -|- Multiple Regression Analysis using SPSS -|- -|- Monday 28th June, 2009; 9.45am to 5.30pm, at the Hicks Building, University of Sheffield -|- Who is the course aimed at? This course is aimed at researchers and post-graduate students in the social sciences who want to use multiple regression to analyze their data. It should appeal to those who have knowledge of basic statistical tests and a basic grasp of the ideas of multiple regression but want to gain practical experience in fitting regression models, and to those with experience of running simple multiple regression analysis who want to explore more complex scenarios, such as using dummy variables to include categorical predictors, or calculating and entering interaction terms to fit moderated regression models. -|- Course level: Some previous experience of using SPSS to perform basic statistical analysis is expected. No previous experience of running multiple regression analysis in SPSS is required, though a basic understanding of the principles/motivation for such analyses will be helpful. -|- Course content and aims: The course will cover the following topics: - Standard multiple regression - the theory and assumptions behind least-squares fitting - Running simple regression models in SPSS - Test statistics and diagnostic plots - Hierarchical regression strategies; controlling for background variables - Hierarchical regression strategies; assessing intervening/mediation effects - Incorporating polynomial terms to model non-linear relationships - Incorporating categorical variables as predictors by using dummy variables - Testing for interaction ('moderation') effects between continuous and/or categorical predictors -|- Course Format: The course comprises of a mixture of short lectures on the basic theory behind the statistical techniques listed above, teaching via examples worked through by the trainer on real data sets which participants can follow, and exercises to practice the skills just learned. You will also receive a 90-page coursebook containing all the notes and worked examples, providing an easy reference and reminder for the techniques you have learned -|- Course schedule: The course will start at 9.45am, with a lunch break from 1pm-2pm, and short coffee breaks at 11.30am and 3.30pm. It will finish at around 5.15pm, though I will be willing to stay on for a while after this and to answer questions pertinent to participants' own data sets or any other regression queries you may have. For further information and to book a place, go to http://www.offbeat.group.shef.ac.uk/FIO/trainingcourses.htm *********** -|- Multi-level Modelling using SPSS -|- Tuesday 29th June, 2010; 1.30pm to 5.15pm, at the Hicks Building, University of Sheffield -|- -|- Who is the course aimed at? This course is aimed at two distinct groups. It is primarily designed as a beginners' course in multi-level modelling (AKA Hierarchical Linear Modelling), for those who face the challenge of working with multi-level data sets and want to be able to analyse them in the most powerful and accurate way. However it should also appeal to those with a little experience of multi-level modelling using other specialist packages who now want to learn how to run such models in SPSS using the MIXED MODELS menu and commands. -|- Course level: A reasonable working knowledge of multiple regression and some previous experience of using SPSS to perform statistical analysis is expected. No previous experience of multi-level modelling will be assumed. -|- Course content and aims: The course will cover the following topics: - Introduction to multi-level data - what it is and why it requires special treatment - Restructuring Data in preparation for multi-level modelling - What is a multi-level model? - Building and fitting a multi-level model in SPSS -|- Course Format: The course comprises of a mixture of short lectures on the basic theory behind multi-level models, teaching via examples worked through by the trainer on real data sets which participants can follow, and exercises to practice the skills just learned. You will also receive a 60-page coursebook containing all the notes and worked examples, providing an easy reference and reminder for the techniques you have learned. -|- Course schedule: The course will start at 1.30pm, and finish at around 5.15pm, though I will be willing to stay on for a while after this and to answer questions pertinent to participants' own data sets or any other multi-level modelling queries you may have. -|- Also: This course is preceded in the morning of 29th June by a workshop on aggregation and validity of measurements, led by Jeremy Dawson from Aston University. This will run from 10.30am-1pm. Full details and booking for this session can be found here: http://conference.iwp.dept.shef.ac.uk/programme/session_5 For further information and to book a place, go to http://www.offbeat.group.shef.ac.uk/FIO/trainingcourses.htm *********** -|- Introduction to Structural Equation Modelling using MPlus -|- Friday 2nd July, 2010; 9.45am to 5.30pm, at the University of Sheffield (venue tbc) -|- -|- Who is the course aimed at? This course is aimed at two distinct groups; those seeking a beginners' course in Path Analysis techniques such as Structural Equation Modelling (SEM) and Confirmatory Factor Analysis (CFA); and those with some previous experience of Structural Equation Modelling who wish to learn to use the powerful and elegant MPlus software, which can be employed in an incredibly wide range of model fitting scenarios. -|- Course level: A basic knowledge of Exploratory Factor Analysis and the ideas behind multiple regression analysis will be advantageous to participants. No previous knowledge or experience with SEM or Mplus is assumed -|- Course content and aims: The course will cover the following topics: - Introduction to Path Analysis - what is it and why do we need it? - Assessing the fit of a Structural Equation Model - Comparing competing Structural Equation Models - Preparing and importing data into Mplus from SPSS - Getting started with analysis in MPlus - the basics of the language - Fitting a simple Confirmatory Factor Analysis in Mplus - Fitting a simple Structural Equation Model in Mplus - Testing for indirect effects in Structural Equation Models - Fitting Structural Equation Models with missing data - Including Categorical variables in Structural Equation Models - Multiple group analysis -|- Course Format: The course comprises of a mixture of short lectures on the basic theory behind Structural Equation Models, teaching via examples worked through by the trainer on real data sets which participants can follow, and exercises to practice the skills just learned. You will also receive a 50-page coursebook containing all the notes and worked examples, providing an easy reference for the basics of performing SEM in MPLus, and as a reminder for the techniques you have learned. -|- Course schedule: The course will start at 9.45am, with a lunch break from 1pm-2pm, and short coffee breaks at 11.30am and 3.30pm. It will finish at around 5pm, though I will be willing to stay on for a while after this to answer questions pertinent to participants' own data sets or any other Structural Equation Modelling queries you may have. For further information and to book a place, go to http://www.offbeat.group.shef.ac.uk/FIO/trainingcourses.htm *** for all three courses above *** The teacher: Dr Chris Stride has been using SPSS in his work as a statistician and data manager for the last 12 years. He has particular experience and expertise in teaching non-statisticians from the fields of psychology, HR, management and the social sciences. He is a Chartered Statistician and a member of the ASSESS (UK and European SPSS Users Group) Committee; and has been running statistical training courses at the University of Sheffield and on an inhouse basis to Universities and Public Sector organisations over the past few years. -- Dr Chris Stride, C. Stat, Statistician, Institute of Work Psychology, University of Sheffield Telephone: 0114 2223262 Fax: 0114 2727206 “Figure It Out” Statistical Consultancy and Training Service for Social Scientists Visit www.figureitout.org.uk for details of my consultancy services, and forthcoming training courses in June 2010: - Multiple Regression using SPSS - Multilevel Modelling using SPSS - Structural Equation Modelling using MPlus as part of the IWP Conference 2010 ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. 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