The largest database of trusted experimental protocols
> Physiology > Mental Process > Temperament

Temperament

Temperament is a psychological construct that describes an individual's innate and enduring personality traits, influencing their emotional, behavioral, and cognitive responses.
It is believed to have a biological basis and emerges early in development.
Temperament traits include factors such as activity level, attention span, emotional intensity, and adaptability to change.
Researchers utilize temperament assessments to understand individual differences and their implications for psychological, social, and physical functioning.
The study of temperament is vital in fields like developmental psychology, psychiatry, and personalized medicine.
By considering an individual's temperament profile, researchers and clinicians can better predict and address a variety of outcomes, from academic performance to mental health conditions.
The PubCompare.ai platform leverages Inteligent Temperament Analysis to enhance research reproducibility and efficiency, helping investigators easily locate the best protocols and products to power their studies in this important area of inquiry.

Most cited protocols related to «Temperament»

Based on four-month temperament group status, 278 infants were invited to continue participation, and, of these, 234 participated at nine months. There was no differential attrition based on temperament group. Infants who dropped out were not significantly different from those who remained in the study in terms of negative affect, positive affect, or motor activity.
Of the 234 infants who participated at nine months, 152 (65.8 %) were Caucasian; 31 were African American (13.4 %); 14 Hispanic (6.1 %); 5 Asian (2.2 %), and the remaining 32 children were of other or mixed ethnicity. Eighty-four percent of the children (n = 187) came from intact homes and roughly half of the children (n = 111) had siblings. Mothers averaged 32 years of age (SD = 5.3) and fathers averaged 34 years (SD = 6.1) at the time of the child’s birth.
Publication 2008
African American Asian Americans Birth Caucasoid Races Child Ethnicity Fathers Hispanics Infant Mothers Sibling Temperament Tooth Attrition
During home visits, child temperament was assessed using the Lab-TAB–Home Version, a comprehensive home-based temperament assessment that includes behavioral episodes corresponding to dimensions of temperament. This administration of the Lab-TAB included 12 standardized behavioral episodes intended to elicit targeted affective and behavioral reactions. These episodes comprised a revised version of the Preschool Lab-TAB (Goldsmith et al., 1993 ). Preschool Lab-TAB data has previously shown convergent validity with temperament questionnaires (i.e., the Children’s Behavior Questionnaire) as well as continuity across age in several studies (e.g., Pfeifer et al., 2002 (link)). The administration and coding of this home-based version was almost identical to the lab versions. The only significant differences were that the child was in the home, the camera was present as opposed to being in a control room, and the props that the experimenter used were in a bag in the room. Although there is always variance in behavioral observation from place-to-place (including from laboratory to laboratory), our goal was to make the administration as consistent as possible across home administrations. The Lab-TAB assessments typically lasted about 40 minutes and occurred at the midpoint of a two-hour home visit that included other activities such as maternal interviews and play sessions with a sibling. One child tester administered the battery after establishing appropriate rapport with the child. Eight individuals served as child testers for the 4.5 year visits, and each was highly trained and monitored to achieve consistency of administration. During administration of the Lab-TAB episodes, children’s behavior was videotaped and later coded in the laboratory. Thirteen percent of the sample was rated by a second observer and every Lab-TAB episode had a mean Kappa of .90 or higher reflecting chance-corrected inter-rater agreement.
Table 1 lists the 12 Lab-TAB episodes, beginning with a descriptive title that will be used throughout the paper (Bookmark, Box Empty, Dinky Toys, End of the Line, Perpetual Motion, Popping Bubbles, Pop-up Snakes, Snack Delay, Spider, Stranger Approach, Transparent Box, Workbench). Brief descriptions of the episodes as well as the broad domains of temperamental reactions that each episode was intended to elicit are also noted. Within each episode epoch or trial, a number of child responses are coded. Lab-TAB coding involves multiple domains of responses including facial, vocalic, motoric, behavioral and postural modalities (e.g., smiling, reaching, crying, touching, or changes in facial expression). Sometimes the presence or absence of a response is simply noted; however, more often parameters of the response, such as latency, duration, and intensity, are timed or rated. Expressive (e.g., facial and vocal) measures and instrumental or motoric measures often fall into different clusters and can be classified as different episode component scores. For example, the Box Empty episode yields anger, sadness, and approach scores. If episode component scores are intercorrelated, an overall episode summary score is often justified. However, we used many episode-level component scores in the present analyses. The actual process of scoring and scale construction for the Lab-TAB is a key element of our results and will be described in the next section.
Publication 2010
Anger Behavior Observation Techniques Child Child, Preschool EPOCH protocol Face Mothers Sadness Snacks Snakes Spiders Temperament
Just prior to the infant’s reunion with its mother, the technician who performed the testing rated the overall temperament of each animal during the 25-h test period. A list of 16 adjectives describing affect quality (Table 3) were rated on a Likert-like scale of 1 to 7, with 1 reflecting a total absence of the behavior and 7 reflecting an extremely large amount of the behavior. As with the Holding Cage observations (above), ratings on each adjective were z-scored across all subjects tested within a given birth year, and exploratory and confirmatory factor analyses of the temperament ratings for 1284 infants were conducted by JPC. All procedures were identical (e.g., exploratory factor analysis on one sample, examination of fit criteria, confirmatory factor analysis with other samples, examination of scale reliability), with the exception that maximum likelihood was the method of estimation for these continuously distributed variables. A model with four factors fit the data very well in the exploratory (RMSEA = 0.055) and in the confirmatory models (CFI and TLI ranged from 0.914 to 0.952; RMSEA ranged from 0.078 to 0.084; the standardized root mean square residual (SRMR) ranged from 0.048 to 0.059 [for SRMR, values < .08 indicate a good fit: Muthén and Muthén, 2001 ]). Factor scores were calculated by summing the z-scores for all adjective items loading on a given factor, and then z-scoring each scale. Cronbach’s alpha values for the scales across the five years ranged from 0.6 to 0.9. The four scales, named for the adjective with the highest factor loading, were: Vigilant (vigilant, NOT depressed, NOT tense, NOT timid), Gentle (gentle, calm, flexible, curious), Confident (confident, bold, active, curious, playful), Nervous (nervous, fearful, timid, NOT calm, NOT confident).
Publication 2009
A-factor (Streptomyces) Animals Childbirth factor A Fear Infant Mothers Nervousness Self Confidence Temperament Tooth Root Wakefulness

Protocol full text hidden due to copyright restrictions

Open the protocol to access the free full text link

Publication 2008
Fathers Fear Hypersensitivity Infant Mothers Pleasure Sadness Temperament
Each child and a parent (95.0% mothers) visited the laboratory for a 2-hour observational assessment of temperament that included a standardized set of 12 episodes selected to elicit a range of temperament-relevant behaviors. Eleven episodes were from the Laboratory Temperament Assessment Battery (Lab-TAB; Goldsmith, Reilly, Lemery, Longley, & Prescott, 1995 ) and one was adapted from a Lab-TAB episode. Using an independent sample, we previously reported moderate stability of laboratory ratings of temperament from ages 3 to 7 (r=.46 and .45 for PE and NE, respectively), and moderate concurrent and longitudinal associations between Lab-TAB ratings and home observations (Durbin, Hayden, Klein, & Olino, 2007 (link)). Each task was videotaped through a one-way mirror and later coded. To prevent carry-over effects, no episodes presumed to evoke similar affective responses occurred consecutively and each episode was followed by a brief play break to allow the child to return to a baseline affective state. The parent remained in the room with the child for all episodes except Stranger and Box Empty (see below), but was instructed not to interact with the child (except in Pop-Up Snakes), and was seated facing at a right angle from the experimenter and child and given questionnaires to complete.
The episodes, in order of presentation, were: (1) Risk Room. Child explored a set of novel and ambiguous stimuli, including a Halloween mask, balance beam, and black box; (2) Tower of Patience. Child and experimenter alternated turns in building a tower. The experimenter took increasing amounts of time before placing her block on the tower during each turn; (3) Arc of Toys. Child played independently with toys for five minutes before the experimenter asked the child to clean up the toys; (4) Stranger Approach. Child was left alone briefly in the room before a male accomplice entered, speaking to the child while slowly walking closer; (5) Make that Car Go. Child and experimenter raced remote-controlled cars; (6) Transparent Box. Experimenter locked an attractive toy in a transparent box, leaving the child alone with a set of non-working keys. After a few minutes, the experimenter returned and told the child that she had left the wrong set of keys. The child used the new keys to open the box and play with the toy; (7) Exploring New Objects. Child was given the opportunity to explore a set of novel and ambiguous stimuli, including a mechanical spider, a mechanical bird, and sticky soft gel balls; (8) Pop-up Snakes. Child and experimenter surprised the parent with a can of potato chips that actually contained coiled snakes; (9) Impossibly Perfect Green Circles. Experimenter repeatedly asked the child to draw a circle on a large piece of paper, mildly criticizing each attempt; (10) Popping Bubbles. Child and experimenter played with a bubble-shooting toy; (11) Snack Delay. Child was instructed to wait for the experimenter to ring a bell before eating a snack. The experimenter systematically increased the delay before ringing the bell; and (12) Box Empty. Child was given an elaborately wrapped box to open under the impression that a toy was inside. After the child discovered the box was empty, the experimenter returned with several toys for the child to keep.
Publication 2010
Aves Child DNA Chips Emotions Males Mothers Parent Potato Snacks Snakes Spiders Temperament

Most recents protocols related to «Temperament»

Mothers completed a demographic questionnaire at each home visit, and items from it were examined as potential control variables (e.g., maternal age in years, years of maternal education, a 7-point family income item). Child temperament was reported by mothers at 12-months using the short form of the Infant Behavior Questionnaire-Revised (Putnam et al., 2014 (link)). This questionnaire includes 91 items, rated on 1–7 scales, assessing 14 aspects of temperament, which comprise three broad temperamental dimensions: Negative Emotionality, Positive Affectivity/Surgency, and Orienting/Regulatory Capacity. These three broad dimensions (average scores) were examined as potential control variables in the present study (for the psychometric properties of this instrument, see Putnam et al., 2014 (link)).
Full text: Click here
Publication 2023
Child Emotions Mothers Psychometrics Temperament
The Junior Temperament and Character Inventory (JTCI 3–6 R; Goth and Schmeck, 2009 ) was used to measure the child’s personality and is based on Cloninger’s biosocial model of personality. The JTCI 3–6 R administered in this study was designed for the age group 3–6 years. This instrument has been explicitly constructed and validated to measure the developmental trajectory of temperament and character traits of Cloninger’s model. The JTCI 3-6R according to the German manual being published at Hogrefe (Goth and Schmeck, 2009 ) shows sufficient psychometric properties (see also information on internal consistencies touching upon the present data below). Validity of the JTCI 3–6 R was demonstrated based on associations with related personality constructs as well as with regard to associations with corresponding psychopathology (Goth and Schmeck, 2009 ; d’Huart et al., 2022 (link)). The inventory is a parent report and contains 86 items that are answered on a five-point-Likert-scale (0 = no, 1 = rather no, 2 = partly/partly, 3 = rather yes, 4 = yes). It measures the seven personality dimensions described in detail above: the four temperament dimensions Novelty Seeking, Harm Avoidance, Reward Dependence, Persistence, and the three character dimensions Self-Directedness, Cooperativeness and Self-Transcendence. All items of the JTCI 3-6R questionnaire, including those of the scales measuring character traits, which are assumed to reach a mature level in adulthood, have been worded to capture personality dimensions of Cloninger’s model in children. The scale of Self-Directedness assesses a little child’s tendency to initiate and regulate actions based on the own intention. The scale of Cooperativeness refers to the child’s tendency to show respectful behavior, when interacting with others, and to accept the will of other people. The scale of Self-Transcendence measures the child’s tendency to be engaged in imaginative thoughts (e.g., being a character from a movie or book) and to be concerned with issues associated with life, death, myths or religious beliefs. We calculated the scales as mean values according to the manual and under the rules for treatment of missing data noted there. A higher value on a scale means a higher expression of the personality dimension. Internal consistencies (Cronbach’s alpha) ranged from α = 0.70 (RD) to α = 0.88 (C) here. There was no reason to remove items to increase reliability. The assumed factor structure of the model was proven by explorative and confirmatory factor analyses in an earlier study (Goth and Schmeck, 2009 ).
Full text: Click here
Publication 2023
Age Groups Character Child Harm Reduction Imagination Parent Psychometrics Temperament Thinking Volition
Prior to the treatment participants completed a set of self-rating questionnaires to assess eating disorder pathology, personality functioning and personality traits. Eating disorder pathology was also administered post-treatment.
The Eating Disorder Examination Questionnaire (EDE-Q) [46 (link)] is a 36-item self-report based on the Eating Disorder Examination (EDE) [43 ]. The EDE-Q generates frequency ratings for key eating disorder behaviors (binge-eating, self-induced vomiting, laxative misuse, and excessive exercise), dietary restraint, and concerns about weight, shape and eating. Higher scores on the EDE-Q are indicative of more severe eating disorder pathology. The self-reported binge eating frequency was measured by the EDE-Q. A global score was calculated by summing up and averaging all attitudinal items, so that each item has equal weight [47 (link)]. Psychometric analyses showed the EDE-Q global score to be moderately accurate in discriminating obese individuals with BED from those without BED [47 (link)]. The EDE-Q presents strong psychometric properties in terms of validity, internal consistency and test-retest reliability [47 (link)–50 (link)]. The validated Dutch version of EDE-Q was used in the current study [51 ].
The Temperament and Character Inventory (TCI) is a 240-item self-report for personality traits based on Cloninger’s psychobiological model [52 (link), 53 (link)]. The TCI includes four dimensional temperament scales (‘Novelty seeking’, ‘Harm avoidance’, ‘Reward dependence’ and ‘Persistence’) and three character scales (‘Self-directedness’, ‘Cooperativeness’ and ‘Self-transcendence’). The TCI, as composed of 240 true/false items, has proven good internal consistency and test-retest reliability[54 (link)]. The validated Dutch version was used in the current study [55 (link)].
The Developmental Profile Inventory (DPI) [56 ] identifies levels of personality functioning, by the psychodynamic and behavioral patterns of an individual’s current functioning. This self-report questionnaire, based on the framework of the Developmental Profile [57 , 58 , 59 (link)], is organized hierarchically by nine levels of psychodynamic personality functioning. The DPI offers a strength-weakness analysis that can be helpful for meaningful case formulation, indication for psychotherapeutic treatment and identifying the most relevant psychodynamic focus during psychotherapeutic treatment. The 108 items (statements which the patient describes as being more or less applicable to him/her on a four-point Likert scale) refer to psychodynamic patterns in three domains (Self, Interpersonal Functioning and Problem-Solving Strategies) and generate scores over the nine subsequent hierarchically-ordered developmental levels (three ‘Adaptive’ levels: Maturity/Generativity, Solidarity, Individuation; three ‘Neurotic’ levels: Rivalry, Resistance, Dependence; and three ‘Primitive” levels: Egocentricity, Fragmentation, Lack of Structure). The DPI has shown adequate psychometric properties in terms of reliability and validity [60 (link)]. Dutch and English versions of the manualized DPI are available (https://www.developmental-profile.nl).
Additionally, all participants were measured bare-footed with medical scales and a stadiometer, through which BMI (kg/m2) was calculated. In addition, all patients were systematically assessed with respect to sociodemographic characteristics (age, gender, marital status, and educational level).
Full text: Click here
Publication 2023
Acclimatization Asthenia Character Diet Eating Disorders Egocentricity Feeding Behaviors Gender Harm Reduction Individuation Laxatives Obesity Patients Psychometrics Psychotherapy, Psychodynamic Psychotropic Drugs Temperament
We used inductive thematic analysis to identify patterns within and across the collected data to construct meaning [15 ]. We combined comments from the completed worksheets into a spreadsheet for coding and analysis. Two authors (MD, GLBD) independently coded all transcribed comments inductively. We met to resolve coding discrepancies and our interpretation of the interconnectedness of codes. After further discussion, the authors felt the individual and organizational resilience model proposed by Vercio and colleagues [5 (link)] could best organize and describe our findings. Therefore, we deductively categorized our themes based on constructs identified in the individual and organizational resilience model.
The individual and organizational resilience model describes the interplay between the two as interdependent (Figure 1). Stressors in the model impact both individuals and organizations. Factors associated with individuals are categorized as internal (e.g., temperament, outlook, talents, skills, reflective capacity), social capital, and societal factors. Dimensions of organizational resilience included culture, social networks, learning, leadership, resources, adaptive capacity, systems and capital. Dimensions bridging individual and organization are described as communication, sense of belonging, shared vision, and recognition of gifts. Using this model, we were able to construct greater meaning from our results by deductively aligning codes to elements of this model.

Individual and organizational resilience model (Adapted from Vercio et al.).

This study was approved by the Institutional Review Board at the University of North Carolina as exempt.
Full text: Click here
Publication 2023
Ethics Committees, Research Feelings Gifts Talent Temperament Vision
Mothers and infants participated in three conditions: distal joint watching, proximal joint watching and free play. In the joint watching conditions, the infant was seated in a highchair (distal joint watching) or in the mother's lap (proximal joint watching) and watched a calm aquarium video for 90 s. The order of distal and proximal joint watching conditions was counterbalanced. In the free play condition, mother and infant were instructed to freely play face-to-face, as they would at home, but without toys and without singing for five minutes. The free play condition always followed the two watching conditions. Only interpersonal synchrony data from the free play condition are reported here (see [36 (link)] for a comparison of experimental conditions). Mothers' and infants’ brain activity was measured using fNIRS. Their behaviour was micro-coded using ELAN (v. 5.9; Max Planck Institute for Psycholinguistics, The Language Archive, Nijmegen). The dyads' electrocardiography was also measured but analysed in separate papers [34 (link),35 (link)]. Mothers were sent questionnaires on affect, postnatal depression, attachment style, and infant temperament (not reported here) before the first visit to the laboratory.
At 12 months of age, we visited families at their homes, observed the mother–infant dyad for at least 90 min, and rated them on the Attachment Q-Sort [37 ]. Parents filled out a questionnaire on infants’ expressive language skills (ELFRA-2 [38 ]) when infants were 24 months old.
Full text: Click here
Publication 2023
Arthropathy Brain Depression, Postpartum Electrocardiography Face Infant Joints Mothers Parent Q-Sort Temperament

Top products related to «Temperament»

Sourced in United States, Japan, United Kingdom, Germany, Belgium, Austria, China, Spain, Ireland
SPSS version 24 is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, including techniques for descriptive statistics, regression analysis, and predictive modeling. The software is designed to help users interpret data, identify trends, and make informed decisions based on statistical insights.
Sourced in United States, Japan, United Kingdom, Germany, Poland, Australia, Austria
SPSS Statistics version 25 is a software package used for interactive or batched statistical data analysis. It provides a comprehensive set of tools for data access, data management, and data analysis, as well as tools for model building and deployment.
Sourced in United States, Japan, United Kingdom, Germany, Austria, Belgium, Denmark, China, Israel, Australia
SPSS version 21 is a statistical software package developed by IBM. It is designed for data analysis and statistical modeling. The software provides tools for data management, data analysis, and the generation of reports and visualizations.
Sourced in United States, Austria, Japan, Cameroon, Germany, United Kingdom, Canada, Belgium, Israel, Denmark, Australia, New Caledonia, France, Argentina, Sweden, Ireland, India
SAS version 9.4 is a statistical software package. It provides tools for data management, analysis, and reporting. The software is designed to help users extract insights from data and make informed decisions.
Sourced in United States, United Kingdom, Belgium, Japan, Austria, Germany, Denmark
SPSS Statistics for Windows is an analytical software package designed for data management, analysis, and reporting. It provides a comprehensive suite of tools for statistical analysis, including regression, correlation, and hypothesis testing. The software is intended to assist users in gaining insights from their data through advanced analytical techniques.
Sourced in United States, Japan, United Kingdom, Austria, Germany, Czechia, Belgium, Denmark, Canada
SPSS version 22.0 is a statistical software package developed by IBM. It is designed to analyze and manipulate data for research and business purposes. The software provides a range of statistical analysis tools and techniques, including regression analysis, hypothesis testing, and data visualization.
Sourced in United States
SPSS 13.0 for Windows is a software product that provides data analysis and statistical capabilities. It is designed to help users manage and analyze data, generate reports, and visualize information. The product offers a range of statistical and analytical tools, including regression analysis, factor analysis, and descriptive statistics. SPSS 13.0 for Windows is intended for use by researchers, analysts, and professionals in various industries who require data-driven insights and decision-making support.
Sourced in United States, Austria, Japan, Belgium, United Kingdom, Cameroon, China, Denmark, Canada, Israel, New Caledonia, Germany, Poland, India, France, Ireland, Australia
SAS 9.4 is an integrated software suite for advanced analytics, data management, and business intelligence. It provides a comprehensive platform for data analysis, modeling, and reporting. SAS 9.4 offers a wide range of capabilities, including data manipulation, statistical analysis, predictive modeling, and visual data exploration.
Sourced in United States, Japan, Germany, United Kingdom, Austria, Poland, Belgium
SPSS Statistics 21 is a software package used for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and visualization. The software is designed to handle a wide range of data types and can be used for a variety of statistical techniques, including regression analysis, hypothesis testing, and multivariate analysis.

More about "Temperament"

Personality Traits, Emotional Disposition, Behavioral Tendencies, Cognitive Patterns, Psychological Profile, Innate Characteristics, Biological Basis, Developmental Psychology, Psychiatry, Personalized Medicine, SPSS, SAS, Research Efficiency, Research Reproducibility, Temperament Assessment, Temperament Analysis, Intelligent Temperament Analysis, PubCompare.ai, Academic Performance, Mental Health, Individual Differences, Outcomes Prediction.
Temperament is a fundamental aspect of an individual's personality, reflecting their innate and enduring traits that influence their emotional, behavioral, and cognitive responses.
This psychological construct is believed to have a biological foundation and emerges early in an individual's development.
Key temperament factors include activity level, attention span, emotional intensity, and adaptability to change.
Researchers in fields like developmental psychology, psychiatry, and personalized medicine utilize temperament assessments to understand individual differences and their implications for various outcomes, from academic performance to mental health conditions.
By considering an individual's temperament profile, investigators can better predict and address a variety of outcomes.
The PubCompare.ai platform leverages Intelligent Temperament Analysis to enhance research reproducibility and efficiency, helping investigators easily locate the best protocols and products from literature, pre-prints, and patents using AI-driven comparisons.
This innovative approach allows researchers to maximize their efficiency and find the ideal tools to power their studies in this important area of inquiry.
Leveraging SPSS and SAS statistical software, researchers can delve deeper into the complexities of temperament and its impact on human functioning.
These powerful analytical tools provide advanced statistical capabilities to uncover insights and patterns within temperament data, enabling more informed decision-making and effective interventions.
Experiance the future of research today with PubCompare.ai and unlock the full potential of temperament analysis to drive your studies forward.