## Monday, December 21, 2009

### How to Write Predictions and Hypotheses in Psychological Research Reports

## Thursday, December 17, 2009

### Matrix Algebra in R: Resources, Videos, Textbooks

## Tuesday, December 15, 2009

### Problems with High Resolution Laptops and External Monitors

## Friday, December 11, 2009

### How to Write the Introduction Section in Psychology: Theses, Lab Reports, and Journal Articles

## Wednesday, December 9, 2009

### Writing a Method Section in Psychology: Lab Reports, Theses, Articles

### Article Deconstruction: How to Write a Method Section in Psychology

## Tuesday, December 8, 2009

### Dark Nudges: Your Loss is the Company's Gain

## Monday, December 7, 2009

### Structural Equation Modelling and Path Analysis Resources

### Multinomial Logistic Regression: SPSS Resources

### Meta-Analysis: Tips, Resources, and Software

## Wednesday, December 2, 2009

### Practice Questions for Statistics in Psychology (Undergraduate Level)

## Monday, November 23, 2009

### Memory Management in R: A Few Tips and Tricks

## Monday, November 16, 2009

## Sunday, November 15, 2009

### How to Customise the Blogger Template

## Monday, November 9, 2009

### Generalized Estimating Equations | General, R, and SPSS Resources

## Thursday, November 5, 2009

### Tips for Writing Up Research in Psychology

## Monday, November 2, 2009

### Issues in Model Building and Parameter Estimation | Case Studies in Psychology

## Friday, October 30, 2009

### How to Reason about Causes in Psychology | When does Correlation Co-occur with Causation?

## Thursday, October 29, 2009

### Tips for Using StatET and Eclipse for Data Analysis in R

## Monday, October 26, 2009

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

### Exploratory Factor Analysis and Scale Construction | R, SPSS, and General Resources

### Depth Interviews | Applications, Thoughts, Resources

## Saturday, October 24, 2009

### Data Mining and R

## Friday, October 23, 2009

### Syntax Tips for Efficient Variable Selection in SPSS

## Wednesday, October 21, 2009

### Introduction to Twitter | One Academic's First Steps

## Tuesday, October 20, 2009

### Comments on "Data Intensive Scientific Discovery"

The ideas link in with the concerns of myself and others with reproducible research, data sharing, data analysis, and open publishing.

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

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.

### Focus Groups Should Not Be Used to Measure Attitudes of the Population | Myki Case Study

"[MyKi project’s new spokeswoman] said that Government focus groups had shown that Melburnians were looking forward to using the new card." - TheAgeI just wanted to make a few comments about problems in the reasoning of the above quote.

## Monday, October 19, 2009

### Getting Started with Social Network Analysis

I have presented research on social network analysis to several forums including to organisational and educational psychology audiences. In these settings the audience varies substantially in their prior exposure to social networks analysis. Researchers new to social network analysis often then ask me where they should start in order to learn about the theories and methods of social network analysis. This post aims to provide some links to get such an interested researcher started.

### How to conduct a social network analysis: A tool for empowering teams and work groups

### Job Satisfaction | Measurement, Scales, Facets

*Work in the 21st Century*(3rd edition). The aim of this post is to comment on theories of job satisfaction and issues associated with job satisfaction measurement. I use Landy and Conte's text book (my favourite I/O textbook) as a frame of reference to guide discussion.

### Comments on the "R Clinic"

*R Clinic*at Vanderbilt. Researchers bring their questions along to weekly sessions and some answers are posted on this website. It's great to see the combination of statistical consulting services and public posting of answers for the benefit of all.

Theresa has also developed a set of course notes on R, R Commander, Latex and Sweave, and Excel.

### Analysing ordinal variables

## Friday, October 9, 2009

### Comments on "Ecological Statistics with R"

### Introduction to SPSS Syntax | Advice for Conducting Reproducible Research

## Thursday, October 8, 2009

## Wednesday, October 7, 2009

### Efficient Variable Selection in R

## Monday, October 5, 2009

### Including R Code in a Blog Post

### Practical Tips on How to Conduct a Sophisticated Online Psychological Experiment

### Analysis of a Multiple Choice Test | Getting Started

## Sunday, October 4, 2009

### Calculating Scale Scores for Psychological Tests

### Producing a Table of Item Descriptive Statistics

## Saturday, October 3, 2009

### Creating Instructional Videos and getting Screen Captures with Jing

### Scoring a Multiple Choice Test in SPSS using DO REPEAT

### Data Mining and Statistics Video Course

## Friday, October 2, 2009

### Newspaper Reports IQ to be 180 | Is it True?

"Nigel, who has an IQ of 180, is also a maths whiz.." - The AgeThis got me thinking. What does it mean to have a 180 IQ. IQ is a norm score. IQ typically has a mean of 100 and a standard deviation of 15. Thus, I asked the following questions:

- What's the probability of having an IQ of 180 or higher?
- One in how many people would have an IQ 180 or higher?
- What's is the probability that someone who a newspaper reports as having a 180 IQ or higher, actually has an IQ of 180 or higher?

### Windows XP Virtual Desktop Manager

## Tuesday, September 29, 2009

### How to Write a Literature Review in Psychology

### Adjusting Correlations for Reliability | Attenuation Formula

### Difference Scores | Are They Okay to Use?

A difference score is a variable that has been formed by subtracting one variable from another.

i.e., `DIFFSCORE = VAR1 - VAR2`

.

Some researchers have heard that difference scores are 'bad'. This post discusses some of the issues, provides some additional references, and discusses calculating reliability of difference scores.

## Monday, September 28, 2009

### Psychology Statistics 101 | R or SPSS

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.

## Saturday, September 26, 2009

### Classifying the Status of a Document with Quality Codes

*quality code*. To give the coding system substance each code has a label and a description. The codes and their groupings are listed below:

### Formatting a Table in Word | R to Tab-Delimited to APA Style

### Grammar of Tables | Tables for Results Sections - Journal Articles and Theses

### Item Parcelling in Confirmatory Factor Analysis

### Tetrachoric Correlations | Overview and Resources

## Friday, September 25, 2009

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

### Spanking Lowers Child IQ | Correlation is not Causation

"A SPANK on the bottom, long used by parents to discipline a naughty child, could cause more than tears... It's now thought the age-old disciplinary method may also lower a child's IQ, with those spanked up to three times a week having a lower IQ due to psychological stress."

## Thursday, September 24, 2009

### Recovering a Corrupted Excel 2007 File | XLSX and XLSM Format

## Wednesday, September 23, 2009

### Statistics and Basic Data Analysis: Summary of Earlier Posts

**Statistics:**

- Formatting correlation matrices into psychological format using SPSS, Excel and Word
- One-group observational study: Basic set of analyses with links to SPSS resources
- Longitudinal data: Basic data management and analyses
- dyadic data: Basic data analysis and how to merge data in SPSS in dyadic data situations.
- Carry-over effects in repeated measures designs: what to think about and a case study from my own research
- Issues of causal inference in mediation analysis and basic resources for performing mediation and moderation analyses.

**Writing:**

**And to put first things last:**

## Tuesday, September 22, 2009

### Statistics Consulting: My Approach and Orientation

### "Why" and "How" to Subscribe to a Blog

This post sets out how to subscribe to my blog. It is designed for people new to RSS feeds. If all you want to do is find the RSS feed, here it is.

### Jeromy Anglim's Teaching Resources | Statistics

The following are some statistics teaching resources that I have developed over the years.

### Jeromy Anglim's Academic Publications

http://jeromyanglim.blogspot.com/p/jeromy-anglims-academic-publications.html

## Monday, September 21, 2009

### Linking text, results, and analyses: Increasing transparency and efficiency

Something to aspire to:

*Raw data is shared*(ethics, copyright, and other considerations permitting).*Code is shared*that shows how the data was imported, transformed, and analysed. This code is well written, commented, and documented.*The report is shared*as opposed to requiring a paid subscription.- Report output including tables, figures, and some text is
*linked*directly to the analyses in code.

While the aspirations transcend R, I like the prospect of having analyses in R integrated with a final report. The inclusion of tables and figures , at least conceptually is a straightforward idea. However, the inclusion of text in a results section is a little fuzzier. Surely, text in a results section (I'll call it "results text" for short) varies in how it relates to actual analyses. Thus, I had the following questions: 1) What is the unit of results text? 2) How does results text vary and what should be automatically supplied by R?; 3) For results text that should not be supplied by R, how should it be integrated into an analysis process?

**Initial thoughts:**After a little reflection I had the following thoughts:

### Structural Equation Modelling in R

## Saturday, September 19, 2009

### Introduction to Journal Article Deconstruction

## Friday, September 18, 2009

### Variable Importance and Multiple Regression

### R Community in Australia

## Thursday, September 17, 2009

### Comments on "Introduction to Scientific Programming and Simulation Using R"

*Introduction to Scientific Programming and Simulation Using R*by Owen Jones, Robert Maillardet, and Andrew Robinson.

## Tuesday, September 15, 2009

### Setting up a Blog on Blogger

The details below set out my setup for my blog account and my blogging statistics. When I set it up originally, I did look into the various options in terms of blogging providers and so on. I make no claim to my choices being optimal for me or other people. But I have found them more than adequate for my purposes. In particular, usage statistics (and comments) are a great form of feedback that is not necessarily available in other forms of academic communication. For further discussion of the benefits of blogging and related technologies in academic, Gideon Burton provides a great exposition.

### Confidence Intervals and Correlations

A researcher recently asked me how to calculate confidence intervals for two correlations that share a common variable (i.e., dependent correlations).

## Thursday, September 10, 2009

### Pen and Paper

Examples:

## Wednesday, September 9, 2009

### Experiments with a mixture of repeated measures and between subjects factors

- 5 x 3 Design: 5 levels of task type (repeated measures); and 3 levels of group (between subjects)
- 2 x 2 x 2 Design: 2 levels of order (between subjects); by 2 levels of instructions (between subjects); by 2 levels of task feature (repeated measures)

**Resources:**

- UCLA has several examples of how examine such designs using SPSS Repeated Measures ANOVA; It also talks about how to test contrasts and run follow up test more generally.
- Andy Field provides a gentle introduction to repeated measures ANOVA using SPSS.

## Tuesday, September 8, 2009

### Cluster analysis and single dominant factors

## Monday, September 7, 2009

### Logistic Regression Resources in SPSS or R

**Question:**A researcher asked me: "What resources are available for running and interpreting a logistic regression?"

### Significance Tests on Correlations

**OVERVIEW:**I often speak to researchers wanting to compare the significance of two correlations. The two scenarios most commonly encountered are: 1) comparing dependent correlations; and 2) comparing independent correlations.

## Wednesday, September 2, 2009

### Repeated Measures Experiments with Many trials in SPSS (PASW)

**Data Format:**

Create a long format data file called “trials” where each row is the combination of one participant and one trial. And have a separate data file called “subjects” that contains one row per participant and includes data on participants that is constant throughout the experiment (e.g., gender, age, personality measures, etc.).

## Tuesday, August 18, 2009

### Social Network Analysis Resources for R

Social Network Analysis is an increasingly popular tool for modelling dependence structures between social actors. In my department researchers are developing new models for representing such dependence structures (MELNET). In 2007 I gave a talk on my consulting experience using social network analysis to provide insights on team dynamics. Since then I have switched to mainly using R for analysing social network datasets.

## Monday, August 17, 2009

### Selecting University Students: Perspectives from Selection and Recruitment

- What criterion of an effective selection system does the university want to use?
- What measurement system can be put in place to maximise this criterion?

## Wednesday, August 5, 2009

### My Procedure for Upgrading R: Windows XP with StatET

## Friday, June 12, 2009

## Saturday, June 6, 2009

### Upcoming Conferences

- 11th European Congress on Psychology in Oslo: I'll be presenting a talk: "The effect of warnings on personality test faking in employee selection"
- Directions in Statistical Computing in Copenhagen

### Normality and Transformations: A few thoughts

### Learning R for Researchers in Psychology

R is a powerful open source environment for statistical computing. This
post provides a selective list of resources for getting started with R
including thoughts on books, online manuals, blogs, videos, user
interfaces, and more. At the end of the post are some R resources
specific to researchers in psychology. (**UPDATED 4th May 2011**)

## Friday, May 29, 2009

### Pronunciation Guides for Mathematical Notation, Expressions, and Greek Letters

#### Mathematics Pronunciation Guides

- VÃ„liaho's guide to Pronunciation of Mathematical Expressions: This is the place to start. It covers many important rules in a 3 page document
- Handbook for Spoken Mathematics: If VÃ„liaho's guide did not meet your requirements, check out this extensive resource. It covers many major branches of mathematics such as logic and set theory, geometry, statistics, calculus, and linear algebra. It is the most comprehensive guide that I have found with around 100 pages and around 500 symbols with pronunciation. I'd recommend studying all the symbols if mathematical pronunciation is an issue for you. The symbols are distributed over many pages making it a little difficult to look up a single symbol of interest. Also, when a choice exists, the guide often chooses a more verbose and less ambiguous form of pronunciation. For example, it suggests for "x_i", "x sub i" instead of "x i". This emphasis on unambiguous verbal communication is sometimes more than required when verbalising the symbols in your head or when verbalising symbols in a context where the actual symbolic math is also displayed.
- RPI's Saying Mathematics Guide
- Oanca et al's Reading Mathematical Expressions
- Wikipedia guide to mathematical symbols: meaning of common mathematical symbols with links to their meaning.
- Greek letters: Lower and upper case Greek letters with pronunciation
- Tips on displaying formulas can even be useful for some obscure mathematical symbols

#### Books on mathematical pronunciation

- Lawrence Change (1983). Handbook for Spoken Mathematics: (Larry's Speakeasy).

#### Related Posts

## Thursday, May 28, 2009

### Introduction to Statistical Modelling in Psychology: NSS Presentation

Today I gave an introductory talk for the Neuropsychological Students’ Society at the University of Melbourne on the topic of Statistical Modelling in Psychology.

The slides with notes from the talk are available for download at the following link: Introduction to Statistical Modelling in Psychology.

## Friday, May 22, 2009

### Bootstrapping and the boot package in R

I was recently asked about options for bootstrapping. The following post sets out some applications of bootstrapping and strategies for implementing it in R. I've found bootstrapping useful in several settings:

- where the statistic I'm interested in is a little unusual: the average R-square across five separate regressions; the difference in the average correlation of a set of variables between two groups
- non parametric statistics, such as the median
- when assumptions such as normality of homoscedasticity are not satisfied

## Thursday, May 21, 2009

### Self-Archiving of journal articles in academia

## Wednesday, May 20, 2009

### Endnote Collaboration

## Friday, May 15, 2009

### Statistics for a Psychology Thesis

In 2007 I presented a talk to postgraduate psychology students at The University of Melbourne. As part of the talk I produced a handout which summarised many of the key points that I felt were relevant for such an audience who needed to complete a thesis involving quantitative analysis. Reading over it two years later, I still agree with the ideas, even if my understanding may be a little more nuanced. For example, I'd now see meta-analytic thinking as a simple version of Bayesian statistics. Anyway, I thought I'd post it on the blog.

The audio (17MB) for the talk is available online, as are the Slides, and a PDF version of the content below.