Evidence map›Paper›PMID 30221975›Full record

Observational studyAssessment2020

Properties of the Continuous Assessment of Interpersonal Dynamics Across Sex, Level of Familiarity, and Interpersonal Conflict.

Christopher J Hopwood, Alana L Harrison, Marlissa Amole, Jeffrey M Girard, Aidan G C Wright, Katherine M Thomas, Pamela Sadler, Emily B Ansell, Tara M Chaplin, Leslie C Morey and 3 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Assessment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.5field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 44 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 10 institutions in 2 countries.

Christopher J HopwoodUniversity of California, Davis, CA, USA.
Alana L HarrisonUniversity of North Texas, Denton, TX, USA.
Marlissa AmoleUniversity of Pittsburgh, Pittsburgh, PA, USA.
Jeffrey M GirardUniversity of Pittsburgh, Pittsburgh, PA, USA.
Aidan G C WrightUniversity of Pittsburgh, Pittsburgh, PA, USA.
Katherine M ThomasPurdue University, West Lafayette, IN, USA.
Pamela SadlerWilfrid Laurier University, Waterloo, Ontario, Canada.
Emily B AnsellSyracuse University, Syracuse, NY, USA.
Tara M ChaplinGeorge Mason University, Fairfax, VA, USA.
Leslie C MoreyTexas A&M University, College Station, TX, USA.
Michael J CrowleyYale University, New Haven, CT, USA.
C Emily DurbinMichigan State University, East Lansing, MI, USA.
Deborah A KashyMichigan State University, East Lansing, MI, USA.
University of Pittsburgh · USMichigan State University · USGeorge Mason University · USPurdue University West Lafayette · USSyracuse University · USTexas A&M University · USUniversity of California, Davis · USUniversity of North Texas · USWilfrid Laurier University · CAYale University · US

Funding

SCREENING FOR PERSONALITY DISORDERSR01MH056888 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PILKONIS, PAUL A · 1998 to 2016
$8.7M
Interdisciplinary Research on Stress, Self-Control & AddictionUL1DE019586 · NIDCR · YALE UNIVERSITY · PI SINHA, RAJITA · 2008 to 2011
$5.0M
Interpersonal Behaviors, Stress, and AddictionK08DA029641 · NIDA · YALE UNIVERSITY · PI ANSELL, EMILY B · 2011 to 2015
$907k
Gender, Emotional Arousal, and Risk for Adolescent Substance AbuseK01DA024759 · NIDA · YALE UNIVERSITY · PI CHAPLIN, TARA M · 2008 to 2012
$900k
Neural Correlates of Negative Reinforcement in Adolescence & Substance Use RiskK01DA034125 · NIDA · YALE UNIVERSITY · PI CROWLEY, MICHAEL J · 2012 to 2016
$823k
Borderline Personality Disorder and Interpersonal ProcessF31MH075543 · NIMH · TEXAS A&M UNIVERSITY · PI HOPWOOD, CHRISTOPHER J · 2006 to 2006
$33k
NIDA NIH HHS K01 DA024759NIDA NIH HHS K01 DA034125NIDA NIH HHS K08 DA029641NIDCR NIH HHS UL1 DE019586NIMH NIH HHS F31 MH075543NIMH NIH HHS L30 MH101760NIMH NIH HHS R01 MH056888
6 · The paper itself

Abstract

The Continuous Assessment of Interpersonal Dynamics (CAID) is a method in which trained observers continuously code the dominance and warmth of individuals who interact with one another in dyads. This method has significant promise for assessing dynamic interpersonal processes. The purpose of this study was to examine the impact of individual sex, dyadic familiarity, and situational conflict on patterns of interpersonal warmth, dominance, and complementarity as assessed via CAID. We used six samples with 603 dyads, including two samples of unacquainted mixed-sex undergraduates interacting in a collaborative task, two samples of couples interacting in both collaborative and conflict tasks, and two samples of mothers and children interacting in both collaborative and conflict tasks. Complementarity effects were robust across all samples, and individuals tended to be relatively warm and dominant. Results from multilevel models indicated that women were slightly warmer than men, whereas there were no sex differences in dominance. Unfamiliar dyads and dyads interacting in more collaborative tasks were relatively warmer, more submissive, and more complementary on warmth but less complementary on dominance. These findings speak to the utility of the CAID method for assessing interpersonal dynamics and provide norms for researchers who use the method for different types of samples and applications.

Indexed as

Interpersonal RelationsSocial BehaviorAdolescentAdultCanadaChildFemaleHumansMaleMiddle AgedMother-Child RelationsSex FactorsStudentsUnited StatesUniversitiesYoung Adultconflictdynamicsfamiliaritygenderinterpersonal circumplexsex

Identifiers

PMID30221975
PMCPMC8898566
OpenAlexW2891021152

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.