Few things in the sciences have the near-universal power to stoke the fires of contentious scholarly debates than the subject of null hypothesis significance testing – or NHST. Across many scientific disciplines NHST is the standard way in which we determine whether or not our research findings are worth talking about.Continue reading
Back again with a new Excel tool. This one, which I’ve titled the “Coefficient Cruncher” is a recent development that I’ve been using to write up various sets of results, and it has greatly accelerated my output rate. One of the most tedious things about writing up results is… well, writing up results. This helps.
(B=[###], SE = [###], p < [.###]).
The Model Fit Aggregator is a tool I designed for use with Mplus model output. It compiles the results of goodness of fit tests and returns them to the user in easy-to-use APA-style for reporting in manuscripts, talks, posters, etc. It will also compare changes in goodness-of-fit across two nested models. Continue reading
The Model Fit Aggregator is a tool I designed for use with Mplus. It allows you to use the model fit information from any model you estimate via maximum likelihood estimation and plug it in (where instructed). The tool will aggregate the information from the raw output and spit out a single line of model fit statistics for you to paste into a manuscript, poster, talk, or other document. Continue reading
The Correlation Tabulator is a tool I designed for use with SPSS. It will require you to run a set of Pearson correlations in SPSS, paste the correlation table output into the tabulator (if you follow the instructions, of course). It will then take those results and compile them into an APA-style correlation table (coefficients reported to two decimal places, with asterisks indicating significance levels), which you can copy and paste into Word or a similar program.
The Regression Tabulator is an Excel-based tool developed for use with SPSS regression analysis output. It is designed to accommodate multiple regression with a maximum of 20 predictor variables (which you will need to define). If you paste your “Coefficients” table into the worksheet (with or without confidence intervals), it will convert your SPSS output into three APA-style tables for you to choose from. The first features complete information unstandardized coefficients (B, SE, t, p). The second and third are truncated tables (unstandardized and standardized, respectively) that include reports of the model coefficients and standard errors, with asterisks indicating significance levels.