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A Content Validity Study of AIMIT (Assessing Interpersonal Motivation in Transcripts).

Giovanni Fassone1,2,3, Floriana Lo Reto1,2, Paola Foggetti1,2

  • 1Sixth Centre of Cognitive Psychotherapy, Rome, Italy.

Clinical Psychology & Psychotherapy
|May 22, 2015
PubMed
Summary

The Assessing Interpersonal Motivation in Transcripts (AIMIT) tool reliably measures five key interpersonal motivational systems in therapy. This validated system enhances understanding of therapeutic relationships and human relatedness.

Keywords:
AttachmentContent ValidityIntersubjectivityMulti-motivational Interpersonal TheorySystematic Assessment of Transcript in PsychotherapyTherapeutic Relationship

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Area of Science:

  • Psychology
  • Evolutionary Psychology
  • Clinical Psychology

Background:

  • Human relatedness is modulated by evolutionary-based interpersonal motivational systems (IMSs).
  • Understanding these dynamics is crucial for assessing the therapeutic relationship.
  • The Assessing Interpersonal Motivation in Transcripts (AIMIT) system identifies five IMSs: attachment, caregiving, ranking, sexuality, and peer cooperation.

Purpose of the Study:

  • To evaluate the content validity of the AIMIT coding system's criteria.
  • To confirm the correlation between AIMIT scoring criteria and interpersonal multi-motivational theory.

Main Methods:

  • Study 1: Content validity assessed by 60 AIMIT verbal criteria rated by qualified independent raters.
  • Study 2: Content validity assessed by unqualified raters evaluating 1000 therapy utterances for prevalent IMSs.
  • Statistical analysis included semantic correspondence scores and Cohen's Kappa coefficients.

Main Results:

  • Study 1: 86.7% of AIMIT criteria met content validity standards with good average semantic correspondence (3.74).
  • Study 2: All average Kappa values were satisfactory (>0.60), ranging from 0.63 (ranking) to 0.83 (sexuality).
  • Data confirmed the AIMIT's theoretical-applicative soundness and content validity.

Conclusions:

  • The AIMIT is a valid tool for assessing interpersonal motivations in psychotherapy transcripts.
  • It enhances understanding of links between motivational systems, intersubjectivity, and the bio-psycho-social model.
  • This contributes to evolutionary cognitivism and interpersonal neurobiology.