Analogue Methods and Behavioral Coding Devices.

2004 ◽  
pp. 289-345
Author(s):  
Jill H. Rathus ◽  
Eva L. Feindler
Keyword(s):  
Behavioral Coding

Assessing the personality structure of wild capuchin monkeys (Sapajus xanthosternos) using trait rating and behavioral coding.

2020 ◽  
Vol 134 (3) ◽  
pp. 349-360 ◽  
Author(s):  
Marcelo Fernández-Bolaños ◽  
Irene Delval ◽  
Robson Santos de Oliveira ◽  
Patrícia Izar
Keyword(s):  
Capuchin Monkeys ◽  
Personality Structure ◽  
Behavioral Coding ◽  
Trait Rating

Indices and Correlates of Positive Emotion in Psychopathology

2019 ◽  
pp. 95-118
Author(s):  
Sunny J. Dutra ◽  
Marianne Reddan ◽  
John R. Purcell ◽  
Hillary C. Devlin ◽  
Keith M. Welker
Keyword(s):  
Positive Emotion ◽  
Self Report ◽  
Individual Level ◽  
Advantages And Disadvantages ◽  
Innovative Methods ◽  
Behavioral Coding ◽  
Broad Array ◽  
Positive Valence ◽  
The Individual ◽  
Clinical Populations

This chapter not only draws from previous authoritative measurement overviews in the general field of emotion, but also advances these resources in several key ways. First, it provides a specific focus on positive valence systems, which have not yet received specific methodological attention. Second, the field of positive emotion (PE) has expanded in recent years with new and innovative methods, making an updated review of methodological tools timely. Third, the chapter incorporates discussion of PE disturbance in clinical populations and the methods best suited to capture PE dysfunctions. This chapter also outlines some tools that can allow researchers to capture a broad array of PE quantified by self-report, behavioral coding, and biological correlates as seen through changes in the central and peripheral nervous system (i.e., brain and body). After reviewing PE measurement methods and correlates, this chapter includes several methods for studying PE beyond the individual level (i.e., interpersonal) and traditional laboratory settings (i.e., ambulatory or experience sampling). It provides key examples of their applications to study PE in clinical populations while acknowledging several of their basic advantages and disadvantages.

scholarly journals Non-expert ratings of infant and parent emotion: Concordance with expert coding and relevance to early autism risk

2009 ◽  
Vol 34 (1) ◽  
pp. 88-95 ◽  
Author(s):  
Jason K. Baker ◽  
John D. Haltigan ◽  
Ryan Brewster ◽  
James Jaccard ◽  
Daniel Messinger
Keyword(s):  
Autism Spectrum ◽  
Parent Ratings ◽  
Face To Face ◽  
Coding Systems ◽  
Behavioral Coding ◽  
Novel Approach ◽  
The Face ◽  
High Concordance ◽  
Spectrum Disorders ◽  
Expert Ratings

This study investigated a novel approach to obtaining data on parent and infant emotion during the Face-to-Face/Still-Face paradigm, and examined these data in light of previous findings regarding early autism risk. One-hundred and eighty eight non-expert students rated 38 parents and infant siblings of children who did (20) or did not (18) have autism spectrum disorders. Ratings averaged across 10 non-experts exhibited high concordance with expert facial-action codes for infant emotion, and 20 non-experts were required for reliable parent ratings. Findings replicated the well-established still-face effect and identified subtle risk associations consonant with results from previous investigations. The unique information offered by intuitive non-expert ratings is discussed as an alternative to complex and costly behavioral coding systems.

Quantitative Analysis of Classroom Communication Environments for Learners With Deafblindness

2021 ◽  
pp. 002246692110413
Author(s):  
L. Beth Brady
Keyword(s):  
Visual Communication ◽  
Verbal Communication ◽  
Sensory Loss ◽  
Classroom Communication ◽  
Teacher Student ◽  
Behavioral Coding ◽  
Teacher Surveys ◽  
Communication Environments ◽  
Dual Sensory Loss ◽  
Matrix Assessment

Classroom environments were analyzed to better understand adult language modeling rates and whether teacher certification practices contributed to differences with learners with deafblindness (DB). Student characteristics were also examined in relation to communication rates. When there is a dual sensory loss, access to tactile and visual communication forms (i.e., multimodal) in addition to verbal communication is needed. Data were collected from 15 teacher–student dyads from four states through behavioral coding of videotaped language samples, teacher surveys, and the Communication Matrix assessment. Overall, teachers used verbal communication significantly more than additional classroom staff. Teachers in a state that required a severe/profound certification had significantly higher rates of overall communication, visual communication, and had students with higher communication levels.

Toward automating a human behavioral coding system for married couples’ interactions using speech acoustic features

2013 ◽  
Vol 55 (1) ◽  
pp. 1-21 ◽  
Author(s):  
Matthew P. Black ◽  
Athanasios Katsamanis ◽  
Brian R. Baucom ◽  
Chi-Chun Lee ◽  
Adam C. Lammert ◽  
...  
Keyword(s):  
Married Couples ◽  
Coding System ◽  
Acoustic Features ◽  
Behavioral Coding

scholarly journals Studying Children’s Eating at Home: Using Synchronous Videoconference Sessions to Adapt to COVID-19 and Beyond

2021 ◽  
Vol 12 ◽  
Author(s):  
Shruthi Venkatesh ◽  
Jasmine M. DeJesus
Keyword(s):  
Food Intake ◽  
Eating Behavior ◽  
Eating Behaviors ◽  
Food Preferences ◽  
Picture Quality ◽  
Observational Coding ◽  
Behavioral Coding ◽  
Video Chat ◽  
Before And After ◽  
At Home

The COVID-19 pandemic has disrupted many facets of developmental research, including research that measures children’s eating behavior. Here, children’s food intake is often measured by weighing foods that children are offered before and after in-person testing sessions. Many studies also examine children’s food ratings (the extent to which they like or dislike a food), assessed via picture categorization tasks or hedonic scales. This paper reviews existing research on different methods for characterizing children’s eating behavior (with a focus on food intake, preferences, and concepts) and presents a feasibility study that examined whether children’s eating behaviors at home (including their food intake and ratings) can be measured via live video-chat sessions. The feasibility analyses revealed that an observational feeding paradigm at home yielded a majority (more than 70%) of video-chat recordings that had a sufficient view of the child and adequate sound and picture quality required for observational coding for the majority of the session’s duration. Such positioning would enable behavioral coding of child food intake, parent food talk, and meal characteristics. Moreover, children were able to answer questions to stories and express their preferences via researcher screen-share methods (which can assess children’s self-reported food preferences and beliefs) with low rates of exclusion across studies. The article ends with a discussion on the opportunities and challenges of using online platforms to conduct studies on children’s eating behaviors in their home environments during the COVID-19 pandemic and beyond.

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