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Idiogrid is a freely available software for repertory grid technique

“Idiogrid (Version 2.4) is software for administering, managing, and analyzing different types of self-report data. It was originally designed around George Kelly's repertory grid technique but has been developed to include person-centered and questionnaire methodologies employed by researchers from a wide variety of domains (e.g., personality psychologists, self-concept researchers, clinical psychologists, market researchers, and sociologists).” (Idiogrid home page, retrieved 15:54, 12 February 2009 (UTC)).

Outline of the elicitation and analysis procedure

Grid construction

With the mostly free Idiogrid program, a generic repertory grid is built in four stages according to the version 2.4 built-in help:

  1. Introduction. An introductory screen with instructions and a general description of the successive tasks is shown to the participant. The contents of this screen can be edited and saved by the user.
  2. Element elicitation. In this stage the participant is asked to elicit the names of individuals he or she knows who fit particular role titles (for example, "a close friend" or "someone you confide in"). The user can request that this stage be skipped if the names are already known and entered into Idiogrid.
  3. Construct elicitation. The participant works through the monadic, dyadic, or triadic elicitation procedures to derive his or her bipolar, personal constructs. The user determines which elicitation procedure is used and also determines the number of constructs to be elicited.
  4. Ratings or Rankings. The participant rates or ranks all of the elements on each of the constructs. The user can set two to thirteen scale points, define a neutral point on the scale, define a "does not apply" option, and edit the instructions that accompany the scale – to name a few options that are available.

The program runs in a parent window and uses three child windows.

Idiogrid 2.4 software overview. Source: James W. Grice, Help pages of Version 2.4, reproduced without permission so far.


A large variety of statistical analysis are available: Descriptive Statistics, Bivariate Statistics, Summary Indices, Singular Value Decomposition, Principal Components Analysis, Multiple Group Components Analysis, Generalized Procrustes Analysis, Slater Analysis (Single Grid), Slater Analysis (Two Grids), Slater Analysis (Multiple Grids), Self-Identity Plot, Compare Two Grids, Coordinate Grid Analysis, Polarity Analysis, Dependency Analysis, Implicative Dilemmas, Profile Analysis.