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Aman

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Most cited protocols related to «Aman»

The ABC-C is a 58-item rating scale used to assess maladaptive behaviors
across five original dimensions or subscales: Irritability, Hyperactivity,
Lethargy/Withdrawal, Stereotypy, and Inappropriate Speech. Items are evaluated
on a four-point Likert scale ranging from 0 (not at all a problem) to 3 (the
problem is severe in degree). The first Aberrant Behavior Checklist
(ABC-Residential) was developed to measure treatment efficacy among individuals
with developmental disabilities living in residential facilities (Aman et al. 1985 (link)). The five subscales were
empirically derived using factor analysis in a sample of 927 residents of
institutions or homes serving individuals with developmental disabilities
(65% male, average age = 25.9 years). This original version was later
modified and items specific to an institutional setting were revised to apply to
a community setting. The factor structure and strong psychometric properties of
the ABC-R are preserved in the ABC-C and are robust for both genders and across
various ages (Aman et al. 1995 (link); Brown et al. 2002 (link); Marshburn and Aman 1992 (link); Ono 1996 ).
Publication 2011
Aman Developmental Disabilities Disabled Persons Lethargy Males Psychometrics Speech Stereotypic Movement Disorder
Six hundred and thirty students were initially enrolled from Mizan-Tepi University, Mizan-Aman, Ethiopia for a psychological health survey (Fig. 1). Of these, 562 participated with a response rate of 89.21%. From this, a sample of 400 students was randomly selected for this study (Fig. 1). Here we report the findings from a sample comprising of 387 students (age = 21.8 ± 3.8 years, and body mass index = 20.8 ± 3.2 kg/m2) after removing person-level missing values (n = 13). There were no construct-level or item-level missing values for PSS scores (Fig. 1). Psychometric properties were investigated in a sample (n = 386) after deleting multivariate outlier (n = 1) as determined by Mahalanobis distance (χ2 = 29.59, df(10), p < 0.001) (Fig. 1).

Schematic of study sample

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Publication 2019
Aman Index, Body Mass Mental Health Psychometrics Student
The Achenbach Child Behavior Checklist (CBCL) for children ages 6–18 years obtains parent ratings of 112 problem behaviours, in addition to descriptions of their child’s strengths and challenges (Achenbach & Rescorla, 2001 ). The Teacher Rating Form (TRF) is completed by teachers rating problem behaviour. Both the CBCL and TRF assess symptoms on the following subscale: Anxious/Depressed, Withdrawn/Depressed, Somatic Complaints, Social Problems, Thought Problems, Attention Problems, Rule-Breaking Behavior and Aggressive Behavior. An Internalizing Problems score is derived from symptoms on the Anxious/Depressed, Withdrawn/Depressed, and Somatic Complaints subscales. An Externalizing Problems score is derived from symptoms of Rule-Breaking Behavior and Aggressive Behavior. In addition to a Total Problems score, six DSM-Oriented subscales are also assessed on the CBCL and TRF, including Affective Problems, Anxiety Problems, Somatic Problems, Attention Deficit/Hyperactivity Problems, Oppositional Defiant Problems and Conduct Problems. Internal consistency and one-week test-retest reliability ranges from good to excellent for each of the domains with TD children (Achenbach & Rescorla, 2001 ). Internal consistency is moderate to high for all composite and syndrome scales with children with IDD (Jacola et al., 2014 (link)). Items are rated on a 3-point scale from (0) not true to (2) very true, and t-scores are created based on an age and gender normative sample. Approximately 6% of typically developing children are expected to have t-scores above the threshold score of 65.
The Aberrant Behavior Checklist (ABC) is a rating scale of maladaptive behaviours for children and adults with IDD (Aman et al., 1985a (link); Aman, Singh, Stewart, & Field, 1985b (link)). Subscales assess Irritability, Lethargy, Stereotypic Behaviours, Hyperactivity, and Inappropriate Speech. Items are rated on a 4-point Likert-type scale from (0) not at all a problem to (3) the problem is severe in degree. Internal consistency is good to excellent, inter-rater reliability is moderate and retest reliability extremely high (Aman et al., 1985b (link)).
The Nisonger Child Behavior Rating Forms (NCBRF) for parents and teachers measures adaptive and maladaptive behaviours among children with IDD (Aman et al., 1996 (link)). Adaptive subscales assess Compliant/Calm and Adaptive/Social. Maladaptive subscales assess Conduct Problems, Insecurity, Hyperactivity, Self-Injury, Ritualistic Behaviours, and Sensitivity. Items are rated on a 4-point Likert-type scale from behaviour did not occur or was not a problem (scored 0) to behaviour occurred a lot or was a severe problem (scored 3). The NCBRF demonstrates high inter-rater reliability between parent and teacher forms on all scales and high internal consistency for multiple subscales (Aman et al., 1996 (link)).
Publication 2018
Acclimatization Adult Aman Anxiety Attention Attention Deficit Disorder Behavioral Symptoms Child Diploid Cell Gender Hypersensitivity Lethargy Parent Problem Behavior Speech Syndrome
Children were assessed every 4 weeks through the 24-week trial and after treatment at weeks 36 and 48. The first primary outcome measure was the parent-rated ABC-I.17 (link) The second primary outcome measure was the per-item mean score on the parent-rated Home Situations Questionnaire–Autism Spectrum Disorder (HSQ-ASD).20 (link) A secondary outcome was the Improvement item of the clinician-rated CGI (CGI-I). By convention, we present results on the other ABC subscales, but these subscales were not hypothesized to show changes with parent training.
The ABC17 (link) is a 58-item, parent-rated measure that includes 5 subscales: Irritability (includes tantrums, aggression, and self-injurious behaviors, 15 items); Social Withdrawal (includes 16 items); Stereotypy (7 items); Hyperactivity (includes hyperactivity and noncompliance, 16 items); and Inappropriate Speech (repetitive vocalizations, 4 items).17 (link),21 (link) Each item is rated 0 to 3 with higher scores indicating greater severity. On the ABC-I subscale (range, 0–45), a 25% reduction from baseline is commonly used to indicate clinically meaningful improvement.14 (link),22 (link)The HSQ-ASD is a 24-item parent-rated measure of noncompliant behavior in children with ASD.20 (link) The scale yields per-item mean scores of 0 to 9 (higher scores indicating greater noncompliance) for the total score and on each of two 12-item subscales (Demand-specific, Socially Inflexible) (Michael Aman, PhD, and Monali Chowdhury, PhD, Ohio State University, written communication, November 10, 2014). Based on data from a prior study, a 25% decrease reflects meaningful improvement.14 (link)The CGI-I23 is a 7-point scale designed to measure overall improvement from baseline. This measure has been used in several clinical trials in ASD.22 (link),24 (link) Scores range from 1 (very much improved) through 4 (unchanged) to 7 (very much worse). Scores of much improved or very much improved were used to define positive response; all other scores indicated negative response. The independent evaluator, who was blind to treatment assignment, rated the CGI-I monthly during the randomized trial and after treatment at weeks 36 and 48. At baseline, the independent evaluators asked parents to identify the child’s 2 most pressing problems. From this discussion, the independent evaluator documented a brief narrative describing the frequency (eg, tantrums per day), duration, and intensity (actual appearance of the behavior) of episodes and effect of the behavior on the family. The baseline narrative was reviewed and revised in subsequent visits and used in combination with all other available information to score the CGI-I.
The protocol included 2 additional secondary outcomes. The Vineland II is a multidimensional measure requiring a detailed analytic approach; the results will be presented in a separate report. The Standardized Observational Analogue Procedure (SOAP) is a brief, semistructured laboratory observation of parent-child interactions. Since development of the protocol, questions have been raised about the ecological validity of the SOAP and whether it is representative of a child’s behavior.25 (link) The SOAP will be presented in a separate report.
Publication 2015
Aftercare Aman Child Conferences Parent Speech Stereotypic Movement Disorder Visually Impaired Persons
The RBS-R is a parent/caregiver rated measure covering a broad range
of repetitive behaviors consisting of 43 items across 6 subscales. Each item
represents a discrete and observable behavioral topography. The RBS-R has
been independently validated for use among individuals with ASD including
toddlers and pre-school age children (Lam
& Aman, 2007
; Mirenda et al.,
2010
). Subscales include stereotypical, self-injurious,
compulsive, ritualistic, sameness, and restricted behaviors. Parents based
ratings upon observations of their child’s behavior over the
previous month. The RBS-R provides total and subscale scores using two
scales: an inventory, or items endorsed score, and a weighted score which
reflects degree of severity (mild, moderate, or severe). We reasoned that
the more clinically focused severity scores may be developmentally
inappropriate, less valid, and more prone to rater bias. For example, it is
unclear how a parent would judge repetitive hand flapping to be a mild
versus moderate “problem” in the context of a 12-month-old
child. Rather, our interest was in whether or not repetitive behaviors were
or were not present in a given child’s behavioral repertoire. As
such, we elected to focus our analysis on counts of items endorsed by
parents. Group distributions for unadjusted RBS-R scores are presented in
Figure 1.
Publication 2014
Aman Behavior Observation Techniques Child Child, Preschool Parent Stereotypic Movement Disorder

Most recents protocols related to «Aman»

Following literature review around causal theories of key features of ASD, the investigator team reviewed data items collected in this release. We determined that we had sufficient items to evaluate some of the claims regarding communication theories of autism. We used items from the following tables of the SPARK release: Basic Medical Screening, Background History–Child (ASD only), the Background History–Sibling (Sib only), the Repetitive Behaviors Scale–Revised (Lam and Aman, 2007 (link); ASD only), and the SCQ (Rutter et al., 2003 ). Items related to each theoretical construct, as they were discussed in the literature, were grouped, and we tested construct fit using a confirmatory factor analysis (CFA). We set our criteria as a root mean square of error approximation (RMSEA) < 0.05 (Kim and Mueller, 1978 ; Brown, 2015 ) and standardized root mean squared residuals (SRMR) < 0.08 (Kim and Mueller, 1978 ; Brown, 2015 ). Any construct that did not initially meet these criteria was split into two factors, and the factor with the more theoretically-relevant items was selected and refit. Each individual participant’s value for each construct was derived from Multivariate Item Response Theory (MIRT), and a normal distribution was imposed on each group. For a few constructs with few items, quantification was obtained via Principal Components Analysis (PCA) or as the value of a single item, in cases where only a single item pertained to the construct. Because the ASD and sibling samples included somewhat different items (i.e., the Sibs’ data did not include the RBS-R and some items in the background history), some constructs in the ASD-Only analysis differed in item composition from their corresponding partners in the ASD + Sibs analyzes. All data items present in the Sibs cohort were available in the ASD cohort, but not vice versa. Therefore the constructs in the ASD-Only cohort in some cases derived from a greater number of items than items than corresponding constructs in the Sibs (and therefore ASD + Sibs) cohort. We examined correlations between the “finer” constructs in the ASD-Only sample and the corresponding “coarser” constructs in the ASD + Sibs sample.
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Publication 2023
Aman Autistic Disorder Child Plant Roots
The Child Behavior Checklist (CBCL) (Achenbach, 2011 ) is a standardized questionnaire that aims to identify social, behavioral, and emotional problems. The questionnaire includes 8 subscales: Anxious/Depressed, Withdrawn/Depressed, Somatic Complaints, Social Problems, Thought Problems, Attention Problems, Rule-Breaking Behavior, and Aggressive Behavior; these symptoms are categorized into one of 3 domains: Internalizing Problems, Externalizing Problems, and Other Problems. The CBCL has been validated in children by other authors (Mazefsky et al., 2011 (link)). By definition, T-scores of ≥ 70 (≥ 98th percentile) are in the clinical range, while values between 65 and 70 (93rd–98th percentile) are in the borderline clinical range, and measurements under 65 (< 93rd percentile) fall within the normal range.
The Repetitive Behavior Scale-Revised (RBS-R) (Lam & Aman, 2007 (link); Yon, 2017 ) evaluates repetitive behaviors in people with ASD and/or disability through 43 items grouped into 6 different dimensions (stereotypic, self-injurious, compulsive, ritualistic, sameness, and restrictive behavior). The items are rated on a 4-point Likert scale (0 = behavior not occurring and 4 = very serious repetitive behavior). The RBS-R has been shown to have excellent psychometric properties and concurrent–divergent validity in a number of countries, including Spain.
Publication 2023
Aman Attention Child Diploid Cell Disabled Persons Emotions Psychometrics Stereotypic Movement Disorder
A single population proportion formula was used to determine the sample size. A
prevalence (p) of 50% was used since no similar study was carried out in our
country among elderly people aged 60 and above. A 95% confidence interval, a
0.05 margin of error, and a 10% non-response rate was used, and the final sample
size was 422. A probability-based systematic random sampling technique was used.
Mizan-Aman, Bonga, and Tepi towns were specifically chosen due to their large
elderly populations. Thirty percent of each town’s kebele were chosen. The
sample size was distributed proportionally as per the number of households in
each kebele. The total numbers of elderly in Miza Aman town were 1324, those in
Bonga town were 1040, and those in Tepi town were 845. The respondents’
households were obtained from family health extension workers assigned in each
town. After the initial household was selected randomly, every
kth household was recruited after labeling each individual
household. In a case of 2 or more elderly people in a single household, a
lottery method was employed to select one of them.
Publication 2023
Aged Aman Health Personnel Households Population Group Workers
The current study was carried out in Tepi, Bonga, and Mizan-Aman towns among
elderly people aged 60 and above from February to March 2022. Tepi, Bonga, and
Mizan-Aman towns were situated 611, 460, and 561 km away from the capital city
of Ethiopia, respectively. Tepi and Bonga towns each have 1 general hospital and
1 health center, while Mizan Aman town has 2 health centers and 1 teaching
hospital.
Publication 2023
Aman

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Publication 2023
Aman Cell Respiration Imatinib Medical Devices Nasal Cannula Noninvasive Ventilation Oxygen Oxygen Saturation Patients Renal Replacement Therapy Saturation of Peripheral Oxygen Tissue, Membrane Vasoconstrictor Agents

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More about "Aman"

Aman, the innovative AI-driven platform developed by PubCompare.ai, is revolutionizing research reproducibility and accuracy.
By empowering researchers to easily locate the best protocols from literature, pre-prints, and patents through AI-powered comparisons, Aman is transforming the way scientists approach protocol optimization and data analysis.
The platform's concise, informative solutions enhance the research process, helping researchers find the most accurate and reliable methods.
This boosts the efficiency and quality of scientific discoveries, paving the way for groundbreaking advancements.
Aman's AI-powered capabilities enable researchers to quickly identify the most relevant and effective protocols, whether they're sourced from published literature, pre-print servers, or patent databases.
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This ensures a cohesive and efficient research experience, from experimental design to data analysis.
By harnessing the power of artificial intelligence and machine learning, Aman is transforming the way researchers approach protocol selection and optimization.
With its innovative solutions, the platform is helping to enhance reproducibility, accuracy, and the overall quality of scientific research.