This is slightly faster than deleting each object individually with the X tool. This plugin erases just the objects that you've selected (highlighted in blue).So, this plugin will erase all objects on the canvas, but will retain the link to your dataset. AMOS does not provide a way to clear the canvas, but keep the datafile linked.It draws the lines and constrains them for you if the ModelBias plugin described below isn't working for you. This is the old plugin for testing method bias.This helps because AMOS makes these separate, and puts the DV before the IV. This plugin creates a new table that includes the IV, DV, and standardized regression weights (with p-value significance indication).If you have a lot of variables not being used in your dataset, then do the opposite by toggling all off and then selecting the ones you do want individually. So, toggle all on and then single-click each one you do not want in the CFA. All highlighted variables will be used to create the CFA. A window will pop up and allow you to toggle on or off all of the variables. To use it, just load your dataset and then click the plugin. It is a lot like the PatternMatrixBuilder, but it doesn't require a pattern matrix. This plugin automates the building of a measurement model in AMOS.I've only tested it with AMOS version 26. Make sure to use this with the SpecificIndirectEffects estimand.
Download the plugin or estimand to your own computer on your Windows side.List of all Plugins videos on Gaskination.Installing Plugins for AMOS v24+ (same process for version 26+).Installing Plugins for AMOS v23- (plus a demo of EFA->CFA).
Here are a few YouTube videos explaining how to use them: Here is a link to the Google Drive folder containing the plugins and estimands: Plugins and Estimands. If they do not work for you, please refer to the troubleshooting section below. An estimand is a custom function that can add calculations and output to the AMOS analysis. A plugin is a macro that can be used to automate AMOS. AMOS does not do everything I want it to do, so with the help of some research assistants, we have created some plugins and estimands to make up the difference.