Using R to replicate common SPSS multiple regression output

The following post replicates some of the standard output you might get from a multiple regression analysis in SPSS. A copy of the code in RMarkdown format is available on github. The post was motivated by this previous post that discussed using R to teach psychology students statistics.

Tutorials, Answers, and Data Files for Multivariate Research Methods Course using SPSS and Amos

I recently developed a set of tutorials for teaching research methods using SPSS and Amos to I/O psychology students. I thought they might be useful for other instructors or people learning intermediate multivariate research methods to social and behavioural science students. Thus, I have made the resources available as a downloadable repository.

Correlation Resources: SPSS, R, Causality, Interpretation, and APA Style Reporting

This post provides links to a range of resources related to the use and interpretation of correlations. I wanted to provide a page with links to a number of additional resources that would be useful both for those of my students who might be keen to learn more and for anyone else who might be interested. Specifically, this post provides links to: (a) introductory book-style chapters on correlation, (b) resources related to assorted issues in correlation (i.e., discussion of causal inference, correlation with various variable types, range restriction, statistical power, correlation interpretation, and significance testing), (c) tutorials on computing correlations using SPSS and R, and (d) tips for reporting correlations in APA Style.

Question and Answer Sites on Statistics, Computing, Research, and Psychology

This post sets out some of my favourite question and answer sites on topics related to statistics, computing, research, and psychology.

How to Process Inquisit Raw Data in SPSS

This post provides advice for processing and importing raw data from Inquisit into SPSS. It is also relevant to importing Inquisit data into other data analysis packages.

Fitting Nonlinear Regression Models to Multiple Participants Using SPSS

This post briefly discusses how to run a nonlinear regression in SPSS. Specifically, it discusses the scenario where you have a a set of k observations for each of n participants, and where your aim is to fit a nonlinear function to the data of each participant in order to save the parameter estimates for subsequent analysis. This is a relatively common task in psychology. You have multiple participants measured on a numeric repeated measures variable and you want to see how a dependent variable is related to this repeated measures variable. And you want to do this separately for each participant. For example, you might be modelling performance as a function of practice or accuracy as a function of stimulus intensity.

Clustered Samples and Assuming Independence of Observations

I sometimes speak to researchers who have a design where units are nested within clusters (e.g., 200 employees nested within 50 stores). While this is often called cluster sampling, the research that this post addresses is often more about convenience than about following a rigorous sampling plan. At some point, the researchers discover that this clustering has implications for the assumption of independence of observations, which in turn has implications for the validity of standard statistical techniques, such as t-tests and regressions that assume independence. This post discusses what to do in such a situation and when if ever it is appropriate to ignore the clustered nature of the sampling.

Multinomial Logistic Regression: SPSS Resources

This posts sets out a few Internet resources on analysing and interpreting a multinomial logistic regression.

Generalized Estimating Equations | General, R, and SPSS Resources

I was recently asked about Generalised Estimating Equations (GEEs). I haven't yet used the technique, but it's on my list of things to learn more about. This post catalogues some of the Internet resources on GEEs.

Scale Construction | Item Reversal, Scale Scores, Reliability, and Metadata

This post discusses how to: (a) use exploratory factor analysis output to determine items to retain on a test; (b) run syntax that reverses items and produces scale scores for a test; (c) calculate reliabilities for scales using retained items. Various tips are provided to make the process more efficient and less error-prone. The example uses SPSS, but many of the ideas would generalise to other statistics packages.

Syntax Tips for Efficient Variable Selection in SPSS

This post discusses a few tricks for efficiently using syntax in SPSS. The suggestions aim to make variable selection more efficient and less error-prone. Specifically, an example is given of how to efficiently run a reliability analysis on a set of scales. The post is aimed at researchers using SPSS who are just starting to learn about the importance of Syntax.

What's in a Name? 21st Century Problems: Searching for PASW version 18

Most people now know that IBM has acquired SPSS, and SPSS the software product has changed it's name to PASW. I have often observed name changes with interest. Kentucky Fried Chicken (at least in Australia) decided long ago to change its name to KFC, possibly because Kentucky was too American, Fried implied  fat and unhealthy food, and chicken was too limiting. Likewise, SPSS decided long ago to distance itself from being just a statistics package for the social sciences.

IBM has now released version 18 of PASW. I was trying to find out what were the new features in version 18, when I stumbled on a potential problem with the new name, and perhaps some reasons why IBM may want to move out of troubling teen version numbers as quickly as possible.

Introduction to SPSS Syntax | Advice for Conducting Reproducible Research

This post provides an overview of SPSS syntax for researchers using SPSS. It sets out (1) why it is important to use syntax, (2) tips on how to use and learn syntax, (3) tips on dealing with errors; 4) tips on organising your syntax, (5) additional resources to learn more, and (6) where to go after you have reached the limits of SPSS syntax.

Follow Up Tests in ANOVA in SPSS

This post discusses how to run follow up tests in ANOVA.

Calculating Scale Scores for Psychological Tests

This post discusses how to calculate scale scores for multi-item scales. A lot of psychological research uses multi-item scales (e.g., personality tests, symptoms check lists, surveys, etc.). This post focuses on the issues involved with computing these scale scores.

Producing a Table of Item Descriptive Statistics

The following post sets out how to present a table of descriptive statistics for a set of items using SPSS, Excel, and Word. At the bottom of the post, I've got an example of doing it in R.

Scoring a Multiple Choice Test in SPSS using DO REPEAT

How do you score a multiple choice test in SPSS? This post shows you how.

Psychology Statistics 101 | R or SPSS

Dan Wright has placed his Quantitative Methods 1 course online. The course offers instructions both in R and SPSS (PASW).

It is an interesting case study in  how to integrate R into a psychology quantitative methods course at the undergraduate level. It's also a cool example of integrating web resources.

Tetrachoric Correlations | Overview and Resources

What do you do if you want to run a factor analysis on a set of binary variables?

Discriminant Function Analysis in a Nutshell | Overview, Alternatives, and Resources

This post discusses Discriminant Function Analysis (DFA). It sets out the basic purpose of DFA and provides some links to additional resources.