Multiple Regression using SPSS

Date:

25/06/2012

Organised by:

University of Sheffield

Presenter:

Dr Chris Stride

Level:

Intermediate (some prior knowledge)

Contact:

Dr Charlotte McClelland
0795 4196113
bookings@figureitout.org.uk

Map:

View in Google Maps  (S10 2TN)

Venue:

Hicks Building
Western Bank
University of Sheffield
Sheffield

Description:

Multiple Regression Analysis using SPSS

Monday 25th June, 2012; 9.30am 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

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 9.30am, with a lunch break from 1pm-2pm, and short coffee breaks at 11.30am and 3.30pm. It will finish at around 5pm-5.30pm, 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.

Cost:

£250 full
£175 student
Further 50 pound discount for multiple bookings

Website and registration:

Region:

Yorkshire and Humberside

Keywords:

Frameworks for Research and Research Designs, Epistemology, Descriptive Research, Exploratory Research, Explanatory Research and Causal analysis, Comparative and Cross National Research, Survey Research, Cross-Sectional Research, Longitudinal Research , Evaluation Research, Case Study, Pilot Study, Participatory Research, Behavioural Research, Secondary Analysis, Analysis of official statistics, Analysis of administrative data, Mixed Methods, Frameworks for Research and Research Designs (other), Hypothesis testing research, Data Collection, Sampling , Survey and Questionnaire Design, Observation, Visual Methods, Online Data Collection , Data Collection (other), Data Quality and Data Management , Data archiving, Quality in Qualitative Research, Quality in Quantitative Research, Measurement Error, Data Editing, Nonresponse , Statistical Disclosure Control, Data Quality and Data Management (other), Qualitative Data Handling and Data Analysis, Discourse Analysis, Interaction Analysis, Conversation Analysis, Content Analysis, Narrative Methods, Analysis of Composite Data, Corpus Analysis, Documentary Analysis, Biographical Methods/Oral History, Grounded Theory, Ethnography, Phenomenology, Visual Data Analysis, Thematic Analysis, Qualitative Approaches (other), Quantitative Data Handling and Data Analysis, Statistical Theory and Methods of Inference, Small Area Estimation, Microdata Methods, Data linkage, Regression Methods, Multilevel Modelling , Longitudinal Data Analysis, Event History Analysis, Spatial Data Analysis, Latent Variable Models, Structural equation models, Time Series Analysis, Data Mining, Simulation , Non-Parametric Approaches, Quantitative Approaches (other), Mixed Methods Data Handling and Data Analysis, Social Network Analysis, Combining Qualitative and Quantitative Approaches, Mixed Methods Approaches (other), Qualitative Software, Quantitative Software, Research Management and Impact, Research and Project Management, Confidentiality and Anonymity, Research Ethics, Research Policy, Evidence-Based Policy and Practice, Management of User Involvement, Consultancy Skills, Regulatory and Legal Aspects, Research Management and Impact (other), Research Skills, Communication and Dissemination, Researching Literature, Writing Skills, Conference Posters and Presentations, Alternative Methods of Dissemination, Teaching and Supervising Research Methods, E-learning, Research Skills, Communication and Dissemination (other), Mplus , SPSS , Structural Equation Modelling , Multilevel Modelling , Hierarchical Linear Modelling , MLM , HLM , Multiple Regression , Multilevel

Related publications and presentations:

Frameworks for Research and Research Designs
Epistemology
Descriptive Research
Exploratory Research
Explanatory Research and Causal analysis
Comparative and Cross National Research
Survey Research
Cross-Sectional Research
Longitudinal Research
Evaluation Research
Case Study
Pilot Study
Participatory Research
Behavioural Research
Secondary Analysis
Analysis of official statistics
Analysis of administrative data
Mixed Methods
Frameworks for Research and Research Designs (other)
Hypothesis testing research
Data Collection
Sampling
Survey and Questionnaire Design
Observation
Visual Methods
Online Data Collection
Data Collection (other)
Data Quality and Data Management
Data archiving
Quality in Qualitative Research
Quality in Quantitative Research
Measurement Error
Data Editing
Nonresponse
Statistical Disclosure Control
Data Quality and Data Management (other)
Qualitative Data Handling and Data Analysis
Discourse Analysis
Interaction Analysis
Conversation Analysis
Content Analysis
Narrative Methods
Analysis of Composite Data
Corpus Analysis
Documentary Analysis
Biographical Methods/Oral History
Grounded Theory
Ethnography
Phenomenology
Visual Data Analysis
Thematic Analysis
Qualitative Approaches (other)
Quantitative Data Handling and Data Analysis
Statistical Theory and Methods of Inference
Small Area Estimation
Microdata Methods
Data linkage
Regression Methods
Multilevel Modelling
Longitudinal Data Analysis
Event History Analysis
Spatial Data Analysis
Latent Variable Models
Structural equation models
Time Series Analysis
Data Mining
Simulation
Non-Parametric Approaches
Quantitative Approaches (other)
Mixed Methods Data Handling and Data Analysis
Social Network Analysis
Combining Qualitative and Quantitative Approaches
Mixed Methods Approaches (other)
Qualitative Software
Quantitative Software
Research Management and Impact
Research and Project Management
Confidentiality and Anonymity
Research Ethics
Research Policy
Evidence-Based Policy and Practice
Management of User Involvement
Consultancy Skills
Regulatory and Legal Aspects
Research Management and Impact (other)
Research Skills, Communication and Dissemination
Researching Literature
Writing Skills
Conference Posters and Presentations
Alternative Methods of Dissemination
Teaching and Supervising Research Methods
E-learning
Research Skills, Communication and Dissemination (other)

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