Application of ordered probit techniques to analyze ratings of blissymbol complexity

Gloria Soto, Michael J. Cassidy, Samer M. Madanat

Research output: Contribution to journalReview articlepeer-review


This paper explores the application of ordered probit modeling, an econometric technique commonly used for the analysis of rating data in situations when respondents are asked to rate items (e.g., an object, service, or product), one at a time. To demonstrate the application of this methodology, an existing data set, originally collected to measure the perceived complexities for an array of Blissymbols, was used. Findings from the use of the ordered probit model are compared with those resulting from the earlier research that used regression procedures. Results from the use of ordered probit modeling indicate that variables that in the original study had been found nonsignificant were indeed accounting for differences in the perceived complexity of Blissymbols. Physical length of the symbol, number of semantic units, and number of strokes were found to be positively correlated with perceived Blissymbol complexity. The number of physical units, single configuration, and the word class "verb" were found to be negatively correlated with Blissymbol complexity.

Original languageEnglish (US)
Pages (from-to)122-126
Number of pages5
JournalAAC: Augmentative and Alternative Communication
Issue number2
StatePublished - Jun 1996


  • Augmentative and alternative communication (AAC)
  • Blissymbols
  • Complexity
  • Ordered probit modeling
  • Research methodology

ASJC Scopus subject areas

  • Rehabilitation
  • Speech and Hearing


Dive into the research topics of 'Application of ordered probit techniques to analyze ratings of blissymbol complexity'. Together they form a unique fingerprint.

Cite this