Log In Sign up
The largest database of trusted experimental protocols
> Disorders > Mental or Behavioral Dysfunction > Behavior, Antisocial

Behavior, Antisocial

Behavior, Antisocial refers to a pattern of disruptive and violative actions that disregard the rights of others and societal norms.
This may include aggression, impulsivity, lack of empathy, and disregard for rules.
Antisocial behavior can manifest in childhood or adulthood and is associated with various mental health conditions.
Researchers utilize standardized protocols to accurately assess and study antisocial behavior, which is essential for developing effective interventions and treatments.
PubCompare.ai's AI-driven platform helps locate the most effective and reproducible protocols from literature, preprints, and patents to advance this critical area of behavioral research.

Most cited protocols related to «Behavior, Antisocial»

1
Multisite College Student Mental Health Survey
Participants were college students recruited to participate in an online
survey from Psychology Department Participant Pools at ten universities across
ten U.S. states. To ensure that data collection was standardized at each site,
all data were collected using the same software (i.e., Qualtrics). To minimize
burden on participants, we utilized a planned missing data design, also known as
matrix sampling (Graham, Taylor, Olchowski,
& Cumsille, 2006). Specifically, each participant received and
completed a battery of core measures that focused on substance use (i.e.,
alcohol and marijuana) and the DSM-5 level 1 measure. After completing the core
measures, each participant received a random sample of 10 measures from a larger
pool (19 total measures) that assessed mental health (e.g., depression, anxiety,
stress, self-esteem, suicide, posttraumatic stress), physical health (i.e. sleep
quality, sexual experiences, eating habits), and personality (i.e.,
impulsivity-like traits, Big Five personality traits, antisocial behavior, and
temperament) constructs. Although 7,307 students were recruited across sites,
only data from students that completed the DSM-5 level 1 measure
(n = 7,217) were included in the final analyses. The
majority of the analytic sample was White (73.80%), female (70.54%), and
reported a mean age of 20.85 (Median = 19.00;
SD = 4.74) years. Specific demographic information on our
full sample as well as each data collection site is shown in Supplemental Table 1. Participants
received research participation credit for completing the study. This protocol
was approved by the institutional review boards at each participating
university.
Bravo A.J., Villarosa-Hurlocker M.C, & Pearson M.R. (2018). College Student Mental Health: An Evaluation of the DSM-5 Self-rated Level 1 Cross-Cutting Symptom Measure. Psychological assessment, 30(10), 1382-1389.
Publication 2018
Anxiety Behavior, Antisocial Cannabis sativa Ethanol Ethics Committees, Research Females Mental Health Physical Examination Self Esteem Student Substance Use
2
Recruitment of Individuals with Externalizing Problems
Participants were recruited using advertisements placed in local and student newspapers and around the community. This approach has been effective in attracting responses from individuals who vary in EXT problems and disorders (Finn et al., 2002 ; 2009 (link)). The range of ads / flyers targeted “daring, rebellious, defiant individuals,” “carefree, adventurous individuals who have led exciting and impulsive lives,” “impulsive individuals,” “heavy drinkers wanted for psychological research,” persons with a “drinking problem,” persons who “got into a lot of trouble as a child,” persons “interested in psychological research,” “quiet, reflective and introspective persons,” and “social drinkers.”
Advertisement respondents were screened via telephone to determine whether they met basic study inclusion criteria. The study inclusion criteria were: being between the ages of 18 and 30, able to read and speak English, had at least a 6th grade education, had consumed alcohol on at least one occasion, and didn’t have a history of psychosis or head trauma. If they met the basic inclusion criteria, they were asked a series of screening questions about current and lifetime alcohol, drug, childhood conduct, and adult antisocial problems. Subjects were invited to participate in the study if they fell within the range of these EXT problems that were targeted for the sample composition. We screened to target a sample composed of 25% with relatively low EXT problems (no diagnosable alcohol dependence/abuse, marijuana/other drug dependence/abuse, no diagnosable conduct disorder, low adult antisocial behavior, no current binge drinking), 50% with moderate (moderate-low to moderate-high) levels of EXT problems, and 25% with very high levels of EXT problems (at least a lifetime diagnosis of Alcohol Dependence and Conduct Disorder). We targeted these segments based on the distributions of these EXT problems that we had in our earlier studies that employed a dimensional model of EXT problems (Bogg & Finn, 2010 (link); Finn et al., 2009 (link)). Lifetime alcohol, drug, nicotine, childhood conduct, and adult antisocial problems counts were ascertained with the SSAGA. Table 1 lists the mean lifetime problems with alcohol, marijuana, nicotine, other drugs, conduct problems and adult antisocial problems for the full sample and for the subsamples in the WM load and no Load conditions of the delay discounting task. As can be seen, the subsamples for the WM Load conditions are equivalent for all variables.
Finn P.R., Gunn R.L, & Gerst K.R. (2014). The Effects of a Working Memory Load on Delay Discounting in Those with Externalizing Psychopathology. Clinical psychological science : a journal of the Association for Psychological Science, 3(2), 202-214.
Publication 2014
Abuse, Alcohol Adult Alcoholic Intoxication Alcoholic Intoxication, Chronic Alcohol Problem Alcohols Behavior, Antisocial Cannabis sativa Child Conduct Disorder Craniocerebral Trauma Diagnosis Drug Abuse Drug Dependence Impulsive Behavior Nicotine Pharmaceutical Preparations Problem Behavior Psychotic Disorders Student Training Programs Vision
3
Assessing Psychopathy in Bulgarian Populations
The PCL:SV is a 12-item scale based on the PCL-R, rated by trained observers following a semi-structured interview of the participant. PCL:SV items are scored on a three point scale (0 = absent; 1 = somewhat present; 2 = definitely present) and summed to provide total scores ranging from 0 to 24 points, with a total score > 18 considered indicative of psychopathy in North Americans. The PCL:SV is divided into two factors: the six items from Factor 1 assess a manipulative interpersonal style and deficient affective experience, while the six items from Factor 2 measure an unstable lifestyle and antisocial behavior.
Psychopathy ratings were based on standardized PCL:SV clinical interviews translated into Bulgarian. Assessments with the PCL:SV were conducted by a trained team of research assistants and clinicians at the Bulgarian Addictions Institute. Initial training in psychopathy assessment was provided by JV, who created the authorized version of the Bulgarian PCL-R with its publisher Multi-Health Systems. Training and supervision was further provided by GV, who had participated in formal training workshops led by Dr. Robert Hare. The two trainers have substantial experience with the use of the PCL-R and PCL:SV and with the construct of psychopathy. Training consisted of didactic sessions, case examples, and discussions. Initial ratings of study participants were conducted by pairs of team members, followed by a discussion of item scoring and total scores. Difficult or unusual assessments and instances of discordant ratings between pair members were discussed with supervisors during weekly team meetings.
Wilson M.J., Abramowitz C., Vasilev G., Bozgunov K, & Vassileva J. (2014). Psychopathy in Bulgaria: The cross-cultural generalizability of the Hare Psychopathy Checklist. Journal of psychopathology and behavioral assessment, 36(3), 389-400.
Publication 2014
Addictive Behavior Antisocial Personality Disorder Behavior, Antisocial Fibrinogen Hares North American People Supervision Workshops
4
Comprehensive Collection of Genomic Datasets for Externalizing Phenotypes
A detailed definition of “externalizing phenotypes” was preregistered to delimit the collection of single-phenotype summary statistics (Supplementary Information section 2.1). Summary statistics from existing studies were provided by, or downloaded from the public repositories of, 23andMe, the Psychiatric Genomics Consortium (PGC), the Million Veterans Program (MVP), the International Cannabis Consortium (ICC), the GWAS & Sequencing Consortium of Alcohol and Nicotine Use (GSCAN), the Social Science Genetics Association Consortium (SSGAC), the Genetics of Personality Consortium (GPC), and the Broad Antisocial Behavior Consortium (Broad ABC) (Supplementary Information section 2.2). All considered GWAS are listed in Supplementary Table 1, and Supplementary Table 4 reports the 67 underlying cohorts of the summary statistics in the final Genomic SEM specification (see below).
Linnér R.K., Mallard T.T., Barr P.B., Sanchez-Roige S., Madole J.W., Driver M.N., Poore H.E., de Vlaming R., Grotzinger A.D., Tielbeek J.J., Johnson E.C., Liu M., Rosenthal S.B., Ideker T., Zhou H., Kember R.L., Pasman J.A., Verweij K.J., Liu D.J., Vrieze S., Kranzler H.R., Gelernter J., Harris K.M., Tucker-Drob E.M., Waldman I.D., Palmer A.A., Harden K.P., Koellinger P.D, & Dick D.M. (2021). Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction. Nature neuroscience, 24(10), 1367-1376.
Publication 2021
Behavior, Antisocial Cannabis Genome Genome-Wide Association Study Nicotine Phenotype Veterans
5
Canada's 2014 Ontario Child Health Study
The fieldwork for the 2014 OCHS was conducted by Statistics Canada, the federal statistical agency responsible for collecting and analyzing data at both the national and provincial levels, including the Canada Census and Labour Force surveys. Data collection took place from Oct 2014 to Sept 2015. Interviewers were assigned selected households listed on the CCTB file with one or more children aged 4 to 17 years in those residential areas sampled for the study. Interviewers telephoned or visited the household in person, asked to speak with the person most knowledgeable (PMK) about the household, presented the study, screened for eligibility, and, through the PMK, invited eligible families within these households to participate.
After collecting basic information on all household members and identifying the PMK (mothers in 88.3% of families), interviewers scheduled home interviews at times convenient to families. A common set of measures were used for up to 4 children aged 4 to 17 years (selected randomly in families with more than 4). In addition to these common measures, one of these children was identified randomly as the “selected child” who had enriched assessments that included the parent (of 4- to 17-year-olds) and youth (12- to 17-year-olds) versions of the MINI-KID.
Figure 3 shows informants linked with selected concepts (see supplemental Appendix for more detailed information). A computer-assisted personal interview (CAPI) with the PMK was used to obtain information about all participating children aged 4 to 17 years (i.e., birth history, physical health, service use, activities, and school); and the family (i.e., housing, immigrant/refugee status, and socio-demography). To facilitate disclosure, the PMK answered personal questions on a laptop about their substance use, personal mental health, and perceptions of neighbourhood characteristics. Parent assessments of childhood mental disorder were obtained by: 1) an interviewer-administered paper version of the MINI-KID about the selected child; and 2) a paper and pencil self-report checklist of emotional and behavioural problems applicable to all participating children (OCHS-EBS and items measuring the disorders in the 1983 OCHS). A paper and pencil questionnaire was used to keep the mode of data collection (structure, ordering and content) as similar as possible to the 1983 study. Finally, a paper and pencil questionnaire was left for the PMK’s spouse/partner to complete and return by mail (3,133 [62.1%] response among 2-parent households). This questionnaire included checklist assessments of the selected child’s emotional-behavioural problems, their impact on the family, and the physical and mental health of the spouse/partner, their parenting behaviour and childhood exposure to violence.
All adolescents aged 12 to 17 years willing to participate in the study completed a laptop questionnaire in private. Youth were asked questions on different aspects of their health, school, social relationships and other activities, such as work and civic engagement. Modules on sensitive topics, such as anti-social behaviour, self-harm, suicidal behaviour, and exposure to maltreatment, were administered only to youth aged 14 to 17 years. Finally, if the 12- to 17-year-old was also the selected child in the family, s/he was administered the youth version of the MINI-KID.
Before leaving the household, interviewers asked for signed parental consent to request teacher assessments for children attending elementary school. Based on a mailed survey, we obtained teacher assessments of child emotional and behavioural problems, social relationships, and academic achievements on 3,072 children (38.9% of 4- to 13-year-olds). Interviewers also asked parents for their consent to share their identifying information with the MOHLTC (6,173 [94.4%] agreement) to facilitate linkage with administrative records.
The 2014 OCHS was a voluntary survey conducted under the Statistics Act, which provides respondents guarantees of their privacy and confidentially. Parents and children were asked without coercion for their consent to participate. The study procedures were approved by the Hamilton Integrated Research Ethics Board at McMaster University and Research Ethics Committees at participating School Boards. Interviews were conducted in either English or French, depending on respondent preference. All assessment data underwent qualitative interview testing in a pilot phase, and interviewer training, data collection, and information processing were performed according to standardized procedures developed by Statistics Canada. A sub-sample of 180 households with 280 children participated in a test-retest reliability study of all the 2014 OCHS measures.
Boyle M.H., Georgiades K., Duncan L., Comeau J, & Wang L. (2019). The 2014 Ontario Child Health Study—Methodology. Canadian Journal of Psychiatry. Revue Canadienne de Psychiatrie, 64(4), 237-245.
Publication 2019
Adolescent Behavior, Antisocial Child Eligibility Determination Emotions Ethics Committees, Research Family and Household Households Immigrants Interviewers Labor Force Mental Disorders Mental Health Mothers Parent Physical Examination Problem Behavior Refugees Spouse Substance Use Youth

Most recents protocols related to «Behavior, Antisocial»

1
Comprehensive Mental Health Assessment

Mental health

Mini-International Neuropsychiatric Interview (MINI; 23): The MINI will be used to assess psychiatric status of participants, including suicidality. It is a short structured diagnostic interview. The MINI is described by the authors as brief and inexpensive, clear and easy to administer, and highly sensitive with good specificity and captures current symptomology [23 (link)]. As well as providing diagnostic assessment of suicidality and self-harm, it provides information relating to depression, bipolar I and II, panic disorder, agoraphobia, social anxiety, obsessive–compulsive disorder, posttraumatic stress, alcohol/substance use, psychosis, anorexia nervosa, bulimia nervosa, antisocial behaviours, and generalised anxiety.

Rodgers J., Goodwin J., Nielsen E., Bhattarai N., Heslop P., Kharatikoopaei E., O’Connor R.C., Ogundimu E., Ramsay S.E., Steele K., Townsend E., Vale L., Walton E., Wilson C, & Cassidy S. (2023). Adapted suicide safety plans to address self-harm, suicidal ideation, and suicide behaviours in autistic adults: protocol for a pilot randomised controlled trial. Pilot and Feasibility Studies, 9, 31.
Full text: Click here
Publication 2023
Agoraphobia Anorexia Nervosa Anxiety Disorders Behavior, Antisocial Bulimia Nervosa Diagnosis Obsessive-Compulsive Disorder Panic Disorder Psychotic Disorders Social Anxiety Vaginal Diaphragm
2
Orthotopic DIPG Tumor Xenograft Model
Twenty-four hours before and after orthotopic intracranial injection with eGFP-lucF-gene-positive HSJD-DIPG-007 cells, mice received carprofen p.o. in drinking water. Thirty minutes before surgery, carprofen was administrated s.c. for local pain management. After anaesthesia with isoflurane, mice were fixed on a stereotactic frame with bite and ear bars. Eye cream was applied to prevent eye damage, while the mice were kept warm during the procedure. After incision of the skin, a drop of lidocaine was added before removal of the facia on the skull. Using a high-speed drill, a burr hole was made in the skull 0.8 mm posterior and 1.0 mm lateral to the lambda. At a depth of 4.5 mm in the pontine region, a total of 5 × 105 HSJD-DIPG-007 cells suspended in 4.3 µL of PBS or Matrigel were injected at a rate of 2 µL/min using a 5 µL Hamilton syringe fitted with a 26-gauge needle. After injection, the needle remained in place for 7 min before being slowly retracted to prevent cell accumulation in the needle tract. Wound closure was performed by applying topical skin adhesive Histoacryl (B. Braun, Melsungen, Germany) before placing the mice under a heating lamp until awake. Possible signs of stress and postoperative complications (lack of food/water intake, antisocial behaviour, and motor deficits) were carefully monitored.
’t Hart E., Bianco J., Besse H.C., Chin Joe Kie L.A., Cornet L., Eikelenboom K.L., van den Broek T.J., Derieppe M., Su Y., Hoving E.W., Ries M.G, & van Vuurden D.G. (2023). Towards Standardisation of a Diffuse Midline Glioma Patient-Derived Xenograft Mouse Model Based on Suspension Matrices for Preclinical Research. Biomedicines, 11(2), 527.
Full text: Click here
Publication 2023
A-007 Anesthesia Behavior, Antisocial carprofen Cells Cranium Dental Occlusion dipinacoline glutamate Drill Eating Food Genes Histacryl Isoflurane Lidocaine Management, Pain matrigel Mus Needles Operative Surgical Procedures Pons Postoperative Complications Reading Frames Skin Syringes Trephining Water Consumption Wounds
3
Longitudinal Assessment of Psychosocial Maturity
All covariates are measured antecedent to the developmental process under investigation. We control for key demographic factors including age, race, gender, and socio-economic status. Age is a truncated measure of age at Wave 7, and age-squared was included to capture any curvilinear associations.6 Race is measured using a series of dummy variables (Black, Hispanic, Other), where White serves as the reference group. Sex is a dummy indicator of male. Finally, SES is measured at baseline using the parent index of social position, which is based upon occupational and educational scores (see Hollingshead, 1971 (link)); higher scores indicate greater SES. Peer antisocial behavior is measured by asking youth to report the proportion of their friends that engaged in 12 antisocial behaviors on a five-point Likert scale spanning from “none of them” to “all of them” (Thornberry et al., 1994 (link)). To measure youth’s perceptions of success, a six-item measure of expectations for work, family, and law-abiding behavior adapted from the NYS prediction of adult success scale is used (see Menard & Elliott, 1996 ); higher scores indicate more predicted success. To control for differences across locations, we include a dummy indicator for site (1 = Maricopa County, AZ; 0 = Philadelphia County, PA). Street time is measured as the proportion of time on the street (i.e., not in a secure facility) and is included as a covariate where appropriate.7 Finally, as noted above, we account for psychosocial maturity to examine whether health predicts changes in psychosocial maturity. Likewise, we control for substance use and offending when modeling those outcomes as well to examine whether health states and/or psychosocial maturity levels influence changes in behavioral outcomes.
Ward J.T., Link N.W, & Forney M. (2023). Mental and Physical Health, Psychosocial Maturity, and Desistance in Young Adulthood. Journal of Developmental and Life-Course Criminology.
Publication 2023
Adult Behavior, Antisocial Friend Hispanics Males Parent Substance Use Youth
4
Development and Validation of the Antisocial Preferences Scale
The theoretical basis for the APS is Czesław Czapów’s concept of attitude [30 ]. A Polish scholar indicated the role of the emotional component in explaining antisocial behavior and focused on two elements: cognitive beliefs and emotional preferences. These components are related to behavior [30 ,54 ,56 ]. The APS consists of emotional preferences. The antisocial personality disorder (ASPD) criteria of the alternative model showed in the “Emerging Measures and Models” chapter of the DSM–5 manual, section III; [57 ] were taken into account in the development of the new instrument. Criterion A of the DSM–5 alternative model refers to impairment in self and interpersonal functioning (e.g., egocentricity and absence of internal prosocial standards and failure to conform to lawful behavior; lack of concern for others, lack of remorse, exploitativeness, use of deceit, coercion, dominance, and intimidation to fulfill interpersonal needs [57 ]. Criterion B for personality pathology refers to the presence of maladaptive personality traits, namely: manipulativeness, deceitfulness, callousness, and hostility (the antagonism) combined with irresponsibility, impulsivity, and risk-taking (the disinhibition) [57 ,58 (link)].
Based on the ASPD criteria, seven dimensions of antisocial preferences were extracted and discussed by a panel of 11 experts (specialists in the field of social rehabilitation). In the first stage of the construction of the measure, 140 items were extracted, each of them rated on a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree). The procedure proposed by Lawshe was used to assess the content validity of the new measure [59 (link)]. The initial item pool was reduced to 35 items (five per dimension). The Cronbach’s alpha coefficients for the dimensions of APS are: (1) Aggressiveness = 0.81, (2) Lack of Guilt or Remorse = 0.76, (3) Breaking Legal Norms = 0.79, (4) Incapacity for Mutually Intimate Relationships = 0.82, (5) Impulsiveness = 0.79, (6) Risk Taking = 0.74, and (7) Egocentrism = 0.79. Moreover, McDonald’s omega coefficients for the subscales are very similar: 0.81 for Aggressiveness, 0.77 for Lack of Guilt or Remorse, 0.79 for Breaking Legal Norms, 0.81 for Incapacity for Mutually Intimate Relationships, 0.80 for Impulsiveness, 0.74 for Risk Taking, and 0.80 for Egocentrism. The Antisocial Preferences Scale had good internal reliability.
I predicted that the APS factors should correlate significantly with external variables: aggression [60 (link)], impulsiveness [61 (link)], and manipulativeness [62 (link)]. To test the correlations between the APS dimensions and the external variables listed above, three measures were used: the Buss-Perry Aggression Questionnaire (BPAQ) measuring aggression, the Mach-IV measuring Machiavellianism, and the IVE Questionnaire.
Aggression. To measure aggression, the Buss-Perry Aggression Questionnaire (BPAQ) was administered. The questionnaire consists of 29 items and measures four factors: physical aggression, verbal aggression, anger, and hostility. Its items are rated on a 5-point Likert scale (1 = extremely uncharacteristic, 2 = somewhat uncharacteristic, 3 = neither uncharacteristic nor characteristic, 4 = somewhat characteristic, 5 = extremely characteristic). Cronbach’s α coefficient for the whole scale was 0.80; as far as the subscales are concerned, it ranged from 0.77 for Hostility to 0.85 for Physical Aggression [63 ].
Machiavellianism. To measure Machiavellianism, the Mach-IV was used. The questionnaire measures three dimensions: (1) interpersonal tactics, (2) cynical views of human nature, and (3) utilitarian morality. The instrument consists of 20 self-report items, each of them scored on a 7-point Likert scale (1 = strong disagreement to 7 = strong agreement). Cronbach’s α for the whole scale was 0.73 [64 ].
Impulsivity. The IVE Questionnaire was used to measure the personality traits of impulsivity, venturesomeness, and empathy. This instrument consists of 63 items using a yes/no response format. Cronbach’s α coefficients are the following: for Impulsivity, 0.86 for women and 0.76 for men, for Venturesomeness 0.90 for women and 0.85 for men; and for Empathy, 0.77 for both genders [65 ].
, & Skowroński B. (2023). The Development and Validation of the Antisocial Preferences Scale. International Journal of Environmental Research and Public Health, 20(3), 2366.
Full text: Click here
Publication 2023
Anger antagonists Antisocial Personality Disorder Behavior, Antisocial CASP8 protein, human Cognition Egocentricity Egocentrism Emotions Gender Guilt Hostility Machiavellianism Physical Examination Rehabilitation Specialists Woman
5
Violent Juvenile Offenders: A Psychosocial Profile
The JHOs in the present study were drawn from a larger sample of 59 juvenile offenders from a southeastern state who were arrested for murder or attempted murder between 1981 and 1983, and who were interviewed in prison between 1983 and 1984 by the second author of the study. The original sample was identified by the Department of Corrections (DOC) in the southeastern state under study. The following inclusion criteria were used: (1) male offender, (2) under the age of 18 at the time of the homicide incident, (3) charged as an adult with murder or attempted murder, (4) convicted as an adult and entered an adult prison between January 1982 and January 1984, (5) incarcerated less than a year at the time of identification by the DOC, and (6) 19 years old or younger at the time of the initial interview.
The sample consisted solely of male offenders due to the fact that JHOs, similar to other types of violent juvenile offenders, have long been predominantly males [46 (link)]. The sample contained both murderers and attempted murderers because their homicidal intentions were not found to differ; some of the subjects in the sample did not kill their victim due to such factors as poor marksmanship, the physical stamina of the victim, and the rapid availability of medical care [47 ,48 (link)].
Only JHOs who were processed as adults were included in the sample because the vast majority of juveniles arrested for murder in the early 1980s were treated as adults in the southeastern state from which the sample was selected. For example, close to 90% of juveniles charged with homicide offenses in 1983 were sent to adult court in this state. Lastly, sample subjects had to be incarcerated for less than a year because the researcher sought to interview offenders who were still in their adolescent years and had yet to become institutionalized.
Following the recruitment of sample subjects, in-depth psychosocial interviews were conducted with the 59 JHOs. The research protocol was approved by the Institutional Review Board of the interviewer’s academic institution. Informed consent was obtained from all 59 JHOs prior to beginning the interview. The interviews covered areas such as family history, neighborhood circumstances, school and work history, drug, and alcohol use, dating and sexual history, leisure activities, values and beliefs, history of antisocial behavior, and circumstances behind the original homicide offense. The interviews were supplemented by official records, which included police reports regarding the index homicide offense, pre-homicide delinquent history, family background, education and work history, substance abuse, and court documents. The record data were collected from a variety of sources, such as probation department reports, indictment and charging documents, conviction and sentencing documents, and DOC reports.
Khachatryan N, & Heide K.M. (2023). Juvenile Homicide Offenders: Factors in Desistance after Incarceration. International Journal of Environmental Research and Public Health, 20(3), 2354.
Full text: Click here
Publication 2023
Adolescent Adult Behavior, Antisocial Ethics Committees, Research Interviewers Males Offenders Pharmaceutical Preparations Substance Abuse Youth

Top products related to «Behavior, Antisocial»

1
Stata 15 by StataCorp
Sourced in United States, United Kingdom, Austria, Denmark
Stata 15 is a comprehensive, integrated statistical software package that provides a wide range of tools for data analysis, management, and visualization. It is designed to facilitate efficient and effective statistical analysis, catering to the needs of researchers, analysts, and professionals across various fields.
2
Spss version 25 by IBM
Sourced in United States, United Kingdom, Japan, Austria, Germany, Denmark, Czechia, Belgium, Sweden, New Zealand, Spain
SPSS version 25 is a statistical software package developed by IBM. It is designed to analyze and manage data, providing users with a wide range of statistical analysis tools and techniques. The software is widely used in various fields, including academia, research, and business, for data processing, analysis, and reporting purposes.
3
Rotarod by Stoelting
Sourced in Ireland, United States
The Rotarod is a piece of laboratory equipment designed to assess motor coordination and balance in small animals. It consists of a rotating rod that rotates at a controlled speed, and the animal is placed on the rod to observe its ability to remain on the rotating surface.
4
Spss v20 by IBM
Sourced in United States, Germany, United Kingdom, Belgium, Japan, China, Austria, Denmark
SPSS v20 is a statistical software package developed by IBM. It provides data management, analysis, and visualization capabilities. The core function of SPSS v20 is to enable users to perform a variety of statistical analyses on data, including regression, correlation, and hypothesis testing.
5
Stata version 14 by StataCorp
Sourced in United States, Denmark, Austria, United Kingdom, Japan, Canada
Stata version 14 is a software package for data analysis, statistical modeling, and graphics. It provides a comprehensive set of tools for data management, analysis, and reporting. Stata version 14 includes a wide range of statistical techniques, including linear regression, logistic regression, time series analysis, and more. The software is designed to be user-friendly and offers a variety of data visualization options.
6
Spss statistic by IBM
Sourced in United States, Japan, United Kingdom, Germany, Belgium, Austria, Italy, Poland, India, Canada, Switzerland, Spain, China, Sweden, Brazil, Australia, Hong Kong
SPSS Statistics is a software package used for interactive or batched statistical analysis. It provides data access and management, analytical reporting, graphics, and modeling capabilities.
7
Depo provera by Pfizer
Sourced in United States, Belgium
Depo-Provera is a type of injectable contraceptive medication. It contains the progestin hormone medroxyprogesterone acetate, which is used to prevent pregnancy.
8
Stata 12.0 for windows by StataCorp
Sourced in United States
STATA 12.0 for Windows is a comprehensive, integrated statistical software package that provides a wide range of data analysis, data management, and graphics capabilities. It is designed to handle a variety of data types and can be used for tasks such as data manipulation, statistical modeling, and visualization. STATA 12.0 for Windows is available for the Windows operating system and is a powerful tool for researchers, analysts, and professionals in various fields.
9
Spss v21 by IBM
Sourced in United States, United Kingdom, Germany, Japan, Spain, Denmark, Austria
SPSS v21 is a statistical software package developed by IBM. It is designed to analyze and manipulate data, providing a range of statistical tools and techniques for researchers and analysts. The software offers a user-friendly interface and a comprehensive set of data management and analysis capabilities.

More about "Behavior, Antisocial"

Antisocial behavior, also known as disruptive, violative, or disregarding behavior, refers to a pattern of actions that disregard the rights of others and societal norms.
This can include aggression, impulsivity, lack of empathy, and disregard for rules.
This type of behavior can manifest in childhood or adulthood and is often associated with various mental health conditions.
Researchers utilize standardized protocols and assessment tools to accurately study antisocial behavior.
These may include the use of statistical software like Stata 15, SPSS version 25, and SPSS Statistics to analyze data.
Behavioral assessments like the Rotarod test can also be used to measure aspects of antisocial behavior in animal models.
Understanding and addressing antisocial behavior is critical for developing effective interventions and treatments.
PubCompare.ai's AI-driven platform can help researchers locate the most reproducible and impactful protocols from literature, preprints, and patents to advance this important area of behavioral research.
By incorporating insights from Stata version 14, SPSS v20, SPSS v21, and STATA 12.0 for Windows, researchers can access a wealth of information to guide their studies on antisocial behavior.
Depo-Provera, a contraceptive medication, has also been studied in relation to its potential effects on antisocial behavior.
Overall, a multifaceted approach, leveraging both human and AI-powered resources, is essential for making progress in this critical field of behavioral research.