2010 in Review: 99 Most Popular Pages on Jeromy Anglim's Blog

In the spirit of taking stock of the year that's been, and in the spirit of festive television repeats, this post reviews 2010 for this blog.

Updated Site Map for Jeromy Anglim's Blog Psychology and Statistics

Every Six months or so I like to update the Site Map for my blog jeromyanglim.blogspot.com . Thus, if you're new to the blog, The Site Map provides an overview of previous blog content organised by topic.
RSS Feed: http://feeds.feedburner.com/jeromyanglim

STATISTICS, R, SPSS, RESEARCH DESIGN

• Getting Started: General advice on statistics for a thesis; Statistics lecture notes;
• R: Learning R; Blogs on R; R in Australia; StatET; Tips for StatET; Upgrade procedure; R and Excel; Efficient variable selection in R; Memory Management in R; Optimising Code in R; Analysis of Winter Olympic Medals in R; Regular expressions in R;
• SPSS: Efficient variable selection;
• Preliminaries: Normality and transformations; Independence of observations;
• Scales: Scale construction; Scale construction for psychological tests; Computing Ability Scales; Checking for accuracy; Multiple choice tests; Scoring a multiple choice test in SPSS;
• Mediation: Getting Started; Issues with causal inference;
• Correlations: Two independent correlations; Formatting a correlation matrix; Adjusting for reliability; Tetrachoric correlations; Confidence intervals; Significance tests; Difference Scores;
• Repeated Measures: Longitudinal data; Data structuring for repeated measures experiments;
• Dyadic Data: Data management; Basic analyses;
• Basic Analyses: Basic procedure for observational study; Introduction to Modelling;
• ANOVA: Follow up tests;
• Regression: Variable importance in multiple regression; Multinomial logistic regression; Generalised estimating equations; Model building; Logistic Regression;
• Factor Analysis: Item parcelling; Factor analysis and scale construction; Factor analysis in R;
• Data Mining: Data mining and R
• SEM: SEM in R; SEM resources;
• Assorted: Bootstrapping in R; Discriminant function analysis; Problems with cluster analysis; Ordinal variables; Meta Analysis;
• Results: Tables R to Word; Grammar of tables; Data sharing and literate programming; Table of item descriptives;
• Maths: Free mathematics video courses; Free online mathematics books; Symbol pronunciation; Matrix Algebra in R; Reading mathematics;
• Research Design: Carryover effects; Causal Inference; Depth interviews; Designing online experiments;

Statistics and Basic Data Analysis: Summary of Earlier Posts

I've recently activated Feedburner. It has not included my posts prior to March 2009. Thus, this post lists these earlier posts for any interested readers.

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:

• How to import references from Google Scholar into Endnote
• Books on writing style

And to put first things last:

• my first post.