Resources for Researchers


  1. Moral Character Questionnaire (MCQ)
  2. Truthful Communication Scale
  3. qcv: Quantifying Construct Validity package for R
  4. The Moral Relativism Scale (MRS) and Moral Tolerance Scale (MTS)
  5. Effect sizes: Definitions and links to inferential statistics
  6. SAS synatx for profile similarity

I. Moral Character Questionnaire (MCQ)

You can access the MCQ here: MCQ

Furr, R. M., Prentice, M. Hawkins Parham, A., & Jayawickreme, E. (2022). Development and validation of the Moral Character Questionnaire. Journal of Research in Personality, 104228.

II. Truthful Communication Scale (TCS), trait version

You can access the TCS scale here:

Furr, M., Jayawickreme, E., & Santos, C. (2021, September 5). Truthful Communication Scale (TCS): Conceptual basis & psychometric properties.

III. qcv package for R

To access the qcv package as introduced by Furr and Heuckeroth (2019, Assessment):

Available at CRAN:

Instructions for installing qcv package based on the tar.gz file (below) – Installing an R package

qcv package – qcv_1.0.tar.gz

Relevant publications:

Furr, R. M., & Heuckeroth, S. A. (2019). The “Quantifying Construct Validity” procedure: Its role, value, interpretations, and computation. Assessment.

Furr, R. M., & Heuckeroth, S. (2018). qcv: Quantifying Construct Validity. R package version 1.0.

IV. Moral Relativism Scale (MRS) and Moral Tolerance Scale (MTS)

To access the MRS and MTS as introduced by Collier-Spruel et al.  (2019, Journal of Personality):

Moral Relativism Scale and Moral Tolerance Scale

Relevant publication:

Collier-Spruel, L. A., Hawkins, A. A., Jayawickreme, E., Fleeson, W., & Furr, R. M. (In press).
Relativism or Tolerance? Defining, Assessing, Connecting, and Distinguishing Two Moral
Personality Features with Prominent Roles in Modern Societies. Journal of Personality.

V. Effect sizes: Definitions, computation, and links to significance tests 

The document below does several things:

  • Presents algebraic definitions for a variety of effect sizes often used in psychological research (e.g., correlation, Cohen’s d, Eta Squared, etc). This conveys the effect sizes’ meaning and allows their computation.
  • Articulates the algebraic links among those effect sizes, allowing transformation from one to another.
  • Articulates the algebraic links between the effect sizes and relevant inferential statistics, allowing transformations from one to another
  • Furr, R. M. (2008). Summary of effect sizes and their links to inferential statistics. Wake Forest University.

VI. SAS syntax for decomposing profile similarity (non-exchangeable dyads, based on Furr 2008) 

To access the syntax in different formats:

SAS syntax file for computing the components of profile similarity: 

MS Word version of the SAS file: profile1.doc

Please note that this SAS syntax computes the correct values for “Global Normativeness.” The values in the published article are not correct (they are based on only the first four traits, not all five).

Also note that Ryne Sherman’s multicon package provides R functions (Profile.norm() and Profile.r()) that conduct analyses based upon Furr’s (2008) decomposition. That package is available at CRAN.

Relevant publication:

Furr, R. M. (2008). A framework for profile similarity: Integrating similarity, normativeness, and distinctiveness. Journal of Personality, 76, 1267-1316.