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Research data keyboard_double_arrow_right Dataset 2010 EnglishICPSR - Interuniversity Consortium for Political and Social Research SSHRCSSHRCAuthors: Hunt, Jennifer; Gauthier-Loiselle, Marjolaine;Hunt, Jennifer; Gauthier-Loiselle, Marjolaine;We measure the extent to which skilled immigrants increase innovation in the United States. The 2003 National Survey of College Graduates shows that immigrants patent at double the native rate, due to their disproportionately holding science and engineering degrees. Using a 1940-2000 state panel, we show that a 1 percentage point increase in immigrant college graduates' population share increases patents per capita by 9-18 percent. Our instrument for the change in the skilled immigrant share is based on the 1940 distribution across states of immigrants from various source regions and the subsequent national increase in skilled immigration from these regions. (JEL J24, J61, O31, O33)
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019Mendeley SSHRCSSHRCAuthors: Krausmann, Fridolin;Krausmann, Fridolin;Global trade (physical trade balances) with cereals, oil crops and meat from 1850/70 to 2016 by world regions; Global sown area, production and yield per unit are of wheat; Global cereal export per capita of global population. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE
Mendeley Data arrow_drop_down Mendeley Data; NARCIS; DANS-EASYDataset . 2019add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert Mendeley Data arrow_drop_down Mendeley Data; NARCIS; DANS-EASYDataset . 2019add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Taylor & Francis NSERC, SSHRCNSERC ,SSHRCSchmidtke, Daniel; Gagné, Christina L.; Kuperman, Victor; Spalding, Thomas L.; Tucker, Benjamin V.;Previous research has shown that compound word recognition involves selecting a relational meaning (e.g. “box for letters” for letterbox) out of a set of competing relational meanings for the same compound. We conducted five experiments to investigate the role of competition between relational meanings across visual and auditory compound word processing. In Experiment 1 conceptual relations judgments were collected for 604 English compound words. From this database we computed an information-theoretic measure of competition between conceptual relations – entropy of conceptual relations. Experiments 2 and 3 report that greater entropy (i.e. increased competition) among a set of conceptual relations leads to longer latencies for compounds in auditory lexical decision. Experiments 4 and 5 demonstrate the same result in two visual lexical decision studies. These findings provide evidence that relational meanings are constructed and evaluated during compound recognition, regardless of whether compounds are recognised via auditory or visual input.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2008 EnglishICPSR - Interuniversity Consortium for Political and Social Research NIH | The Collaborative Genetic..., NHMRC | Experience-dependent cell..., NIH | NICHD Population Center +204 projectsNIH| The Collaborative Genetic Study of Nicotine Dependence ,NHMRC| Experience-dependent cellular plasticity and cognitive deficits in mouse models of schizophrenia ,NIH| NICHD Population Center ,NIH| PROSTATE, LUNG, COLORECTAL AND OVARIAN (PLCO) CANCER ,NIH| Statistical Methods for Network Epidemiology ,NIH| GENETIC INTERACTIONS CONTRIBUTING TO ALCOHOL AND NICOTINE DEPENDENCE ,NIH| Inflammation Genes and Lung Cancer Risk ,NIH| Economic Evaluation of Adolescent Alcohol Use and the Impact of Social Networks ,NIH| Health Disparities in Obesity: Partner Violence and its Psychosocial Pathways ,NIH| Role of Romantic Relationships in the Sexual Behavior of Obese and Non-Obese Girl ,NIH| Interracial Friendship and Romance Among Adolescents ,NIH| HEALTHY YOUTH DEVELOPMENT PREVENTION RESEARCH AND TRAINING CENTER ,NIH| Data Mgmt &Analysis Core - The NINDS International Stroke Genetics Consortium St ,NIH| A Center for GEI Association Studies ,NIH| Longtudinal Relations Between Internalizing Disorders and Substance Use Problems ,NIH| Adenocarinoma of the Lung in Women ,NSF| Neighborhoods and Schools, Education, and Heritability ,EC| TODO ,NIH| The Pathobiology of Nephrolithiasis ,NIH| Colorado Adoption/Twin Study of Lifespan behavioral development & cognitive aging (CATSLife) ,NIH| Adolescent Health and Academic Achievement ,NIH| The Social Marginalization of Adolescents in High School ,SSHRC ,NIH| PROSTATE, LUNG, COLORECTAL AND OVARIAN (PLCO) CANCER ,NIH| Genetics of Early Onset-Stroke ,NIH| From GWAS loci to blood pressure genes, variants & mechanisms ,NIH| Containing Bioterroist and Emerging Infectious Diseases ,NIH| UNC Interdisciplinary Obesity Training (IDOT)(RMI) ,NIH| CUPC Admin Core ,NIH| Comprehensive Mapping of a Blood Pressure QTL on Chromosome 17 ,NIH| GENETICS OF ADOLESCENT ANTISOCIAL DRUG DEPENDENCE ,CIHR ,EC| DEPRIVEDHOODS ,NIH| Adolescent Alcohol Use: Disentangling Friend Selection &Influence ,NIH| Administrative and Research Support Core ,NIH| Socioeconomic Disparities in Young Adult Health ,EC| ENGAGE ,NIH| MECHANISMS AND PREVENTION OF ENVIRONMENTAL DISEASE ,NIH| PROSPECTIVE LONGITUDINAL STUDY OF ADOLESCENT HEALTH ,ARC| Elucidating the genetics of attention deficit hyperactivity disorder by integrating pathway and prediction analyses ,WT| Familial and other risk factors for adolescent substance use and abuse. ,NIH| COSTS AND BENEFITS OF ALCOHOL SERVICES &INTERVENTIONS ,NIH| Stressors and their impact on health related addictions: smoking, drinking, BMI ,NIH| Molecular Epidemiology of Alcoholism 2- Big Sibships ,NIH| Identifying essential network properties for disease spread ,NIH| Human Genetics of Addiction: A Study of Common and Specific Factors ,NIH| The effects of heavy alcohol use on weight gain in college freshmen: Examining an overlooked calorie source ,NIH| JH/CIDR Genotyping for Genome-Wide Association Studies ,NIH| GENETICS OF COCAINE DEPENDENCE ,NIH| Research and Mentoring on Integrating Psychiatric Genetics and Neuroscience ,NIH| Translational studies of nicotinic receptor genes: alcohol and nicotine behaviors ,NIH| Human Subjects Core: Protocols, Statistics, Collaborative Method Development and ,AKA| Role of early life risk factors in associations between work, cardiovascular disease and depression: A life course approach based on two prospective cohorts. / Consortium: ELRFWCDD ,NIH| University of Washington Reproductive, Perinatal and Pediatric Epidemiology ,NIH| MDMA and Other Hallucinogen Use: Onset and Abuse/Dependence ,NIH| Genetic Risk to Stroke in Smokers and Nonsmokers in Two Ethnic Groups ,NIH| Mapping Genes for comorbidity of SUDs and Depression ,NIH| Variants in CHRNA5/CHRNA3/CHRNB4 and nicotine dependence ,NSF| National Science Foundation Alan T. Waterman Award ,NIH| Outreach Core ,NIH| Social Support as a Facilitator of Adherence to HIV Pre-Exposure Prophylaxis Among Young MSM of Color ,NIH| Vitamin D metabolism related genetic variations and developmental origins of card ,AKA| Public Health Genomics to Practice in Cardiovascular Diseases / Consortium: PUBGENSENS ,NIH| PROSTATE, LUNG, COLORECTAL AND OVARIAN CANCER ,NIH| PROSTATE, LUNG, COLORECTAL &OVARIAN CANCER ,NIH| DIET, HORMONES AND RISK OF COLORECTAL CANCERS ,NIH| High Density Association Analysis of Lung Cancer ,NIH| Genetics of Alcohol Dependence in African-Americans ,AKA| MSDs@LIFECOURSE CONSORTIU Subproject: Shared Risk Factors Study Group Turku University Central Hospital / Consortium: MSDs@LIFE ,ARC| Quantitative and Molecular Genetic Analysis of Cognition ,EC| NBHCHOICE ,NIH| ECONOMICS OF AGING TRAINING PROGRAM -- EXTENSION ,NIH| Modeling HIV and STD in Drug User and Social Networks ,NIH| Genes, Environments & Interventions: Understanding and Addressing Alcohol Misuse ,NIH| Research Training Program in the Behavioral and Biomedical Sciences ,NIH| Computational Methods to Detect Epistasis ,NIH| Health Disparities Among a Vulnerable Population: A Longitudinal Analysis ,NIH| Population Research Center ,NIH| Carolina Population Center ,NIH| Understanding memory consolidation by studying pharmacologically enhanced naps ,NIH| Identifying Mediated Pathways of Risk for Substance Use in Sexual Minority Girls ,NIH| Genetic &environmental pathways to drug use, abuse &dependence ,NIH| The Role of Peer Networks in Youth Drug Use ,NIH| Social Demographic Moderation of Genome Wide Associations for Body Mass Index ,NIH| Age at First Sex, Genes, Religion, and Other Social and Demographic Context ,NIH| Cancer Center Support Grant ,NIH| DIETARY ETIOLOGIES OF HEART DISEASE AND CANCER ,NIH| Health Communication and Health Literacy Core ,NIH| Institute for Clinical and Translational Research (UL1) ,NIH| Study of Addiction: Genetics and Environment ,NIH| Population Research Training ,NIH| Center for Family and Demographic Research ,NIH| Genetics of Opioid Dependence ,NIH| Genetic Risk, Pathways to Adulthood, and Health Inequalities ,NIH| BEHAVIORAL PHARMACOGENETICS OF DRUG AND ALCOHOL ABUSE ,NIH| Economic Evaluation Methods: Development and Application ,NIH| Fine Mapping Susceptibility Loci for Nicotine Dependence ,NIH| Racial disparities in cancer outcomes: quantifying modifiable mechanisms ,NIH| Genetics of Adolescent Antisocial Drug Dependence ,WT ,NIH| Innovations in Pediatric Pain Research ,NIH| Phenotypic refinement of externalizing pathways to alcohol-related behaviors ,NIH| Social and Demographic Context and Heritability ,NIH| The University of Iowa Prevention Research Center ,NIH| Mentoring Clinical Investigators in Adolescent-onset Substance Use Disorders Research ,NIH| Smoking/Nicotine Dependence in Attention Deficit Hyperactivity Disorder (ADHD) ,NIH| Transitions to Adulthood and Health Risk Among U.S. Young Adults ,NIH| Response Inhibition and Dopamine Neurotransmission (RI) (4 of 8) ,AKA| Roles of inflammation, oxidation, sex hormones and genetic variation in vascular aging and the development of atherosclerosis over the life-course. ,NIH| TRAINING GRANT IN CANCER EPIDEMIOLOGY ,NIH| NYS FAMILY STUDY: PROBLEM ALCOHOL USE &PROBLEM BEHAVIOR ,NIH| Center on Antisocial Drug Dependence: The Genetics of HIV Risk Behaviors ,NIH| Administrative Core ,NIH| The Genetic Epidemiology of Nicotine Dependence ,NIH| Model-Based Clustering Methods of Medical Image ,NIH| SUBSTANCE USE AND DISORDERED WEIGHT BEHAVIORS IN SEXUAL MINORITY YOUTH CONTEXTS ,NIH| FLUORIDE AND OTHER FACTORS IN CHILDHOOD BONE DEVELOPMENT ,NIH| Pharmacogenetics of Nicotine Addiction Treatment ,NIH| Genome-Wide Associations Environmental Interactions in the Lung Health Study ,NIH| Alcohol Contextual Influences: Effects on Health Disparities and Mortality ,NIH| Cascades of Network Structure and Function: Pathways to Adolescent Substance Use ,NIH| Carolina Population Center ,NIH| Do active communities support activity or support active people? ,NIH| BIOBEHAVIORAL FACTORS IN CORONARY HEART DISEASE ,EC| DYNANETS ,NSF| CAREER: Model Fluid-Solid Interactions, Networks REUs, and BioCalculus ,NIH| GENETICS OF NICOTINE AND OTHER ABUSED SUBSTANCES ,NIH| GENETIC EPIDEMIOLOGY OF LUNG CANCER ,NIH| Washington University Institute of Clinical and Translational Sciences (KL2) ,NIH| Neuropharmacology of Response Inhibition in Comorbid ADHD and Nicotine Dependence ,NIH| Genome Wide Association Coordinating Center ,NIH| HIV in Young Adulthood: Pathways and Prevention ,NIH| Genes and Environment Initiatives in Type 2 Diabetes ,AKA| Sustainable Innovative Materials in High Tech Applications. An Interdisciplinary Approach to Design,Engineering Technology and Chemistry of Environmentally Sound Products and Production. ,NIH| Obesity and the Environment: The Transition to Adulthood ,NSF| Health Lifestyles and the Reproduction of Inequality ,NIH| SOCIAL DEMOGRAPHY ,NIH| MOTS: Modeling Obesity Through Simulation ,NIH| UIC Program for Interdisciplinary Careers in Womens Health Research ,NIH| Deciphering genes and pathways in nicotine dependence ,NIH| HUMAN GENETIC VARIATION IN SMOKING AND ADDICTION RISK ,NIH| The University of Colorado Population Center ,NIH| Sexual Behavior Trajectories from Adolescence to Adulthood ,NIH| Cascades of Network Structure and Function: Pathways to Adolescent Substance Use ,NIH| LONGITUDINAL STUDY OF SUBSTANCE USE, INCARCERATION, AND STI IN THE US ,NIH| YOUNG ADULT SUBSTANCE USE--PREDICTORS AND CONSEQUENCES ,NIH| Propensity Scores and Preventive Drug Use in the Elderly ,NIH| Population Research Institute ,NIH| Sexual Orientation and Obesity: Test of a Gendered Biopsychosocial Model ,NIH| Substance Abuse & Treatment Gaps in Asians, Pacific Islanders & Multiple-race Ind ,NIH| PERSISTENCE &CHANGE IN DRINKING HABITS: TWIN STUDY ,NSF| GSE/RES Gender Differences in Science and Math: Diversity and the Role of Social Context ,NIH| Epidemiology of Venous Thrombosis &Pulmonary Embolism ,AKA| Impact of childhood growth patterns and latent cardiovascular risk factors on the microcirculation in adult life: Cardiovascular risk in Young Finns Study ,NIH| Consortium for Neuropsychiatric Phenomics-Coordinating Center (1 of 8) ,NIH| Synthetic Information Systems for Better Informing Public Health Policymakers ,NIH| GENETICS OF VULNERABILITY TO NICOTINE ADDICTION ,NIH| Community Assist of Southern Arizona ,NIH| Training in Developmental Science to Improve Child Health and Well-Being ,NIH| Systematic Error and Confounding: Meta-Analyses of Alcohol and Disease ,NIH| GWA for Gene-Environment Interaction Effects Influencing CHD ,NIH| Longitudinal Study of Trauma, HIV Risk, and Criminal Justice Involvement ,NIH| Statistical Methods for Gene Environment Interactions In Lung Cancer ,ARC| Locating genes for elementary and complex cognitive abilities using genetic linkage and association analysis ,NIH| Molecular Epidemiology of Alcoholism 3 - EDAC Families ,NIH| Mid Southern Primary Care Networks Node ,NIH| High Risk Drug Use &HIV-Learning from the NYC Epidemic ,NSF| Science Achievement and Health Behavior: High School Curriculum, Social Context, and Opportunity to Learn ,NIH| PROSTATE, LUNG, COLORECTAL, AND OVARIAN (PLCO) CANCER ,NIH| VARIATION IN THE EFFECTS OF ALCOHOL ON LIVER FUNCTION ,NIH| Novel Use of Gwas for Improved Understanding of Nicotine Dependence ,NIH| Genes, early adversity, and sensitive periods in social-emotional development ,NIH| BEYOND RACE--EXPLAINING INEQUALITY MANIFESTED AS OBESITY ,NIH| Individual differences and health outcomes: A secondary data analysis in cognitiv ,NIH| Washington University Institute of Clinical and Translational Sciences (UL1) ,NIH| GENETICS AND CONSEQUENCES OF NICOTINE ADDICTION ,NIH| Physical Environment Dynamics, Inequality and Obesity ,NIH| Refining Phenotypic Measures of Nicotine Withdrawal ,EC| GMI ,NIH| Intergenerational Research on Obesity Prevention: From Correlates to Intervention ,NIH| Genome-Wide Association for Loci Influencing CHD and Other Heart, Lung and Blood ,NIH| Childhood Family Instability, Adult Stress Reactivity, and Consequences for Health ,NIH| Molecular Genetics and Behavior: Alcohol and Tobacco Use ,NSF| The Genetic Basis of Social Networks and Civic Engagement ,NSF| Machine learning techniques to model the impact of relational communication on distributed team effectiveness ,ARC| Maximising knowledge from dense SNP (single nucleotide polymorphisms) data using multi-locus analysis ,NIH| Nicotinic receptor genes &substance abuse: Functional studies of associated SNPs ,AKA| Center of Excellence in Complex Disease Genetics ,NIH| Data Core ,NIH| CORE--ADIPOSE TISSUE BIOLOGY AND BASIC MECHANISMS ,EC| ADDICTION ,AKA| The Cardiovascular Risk in Young Finns Study - the 27-year follow-up. ,NIH| University of Minnesota Clinical and Translational Science Institute (UMN CTSI) ,NIH| Exome Variants Underlying Weight Gain from Adolescence to Adulthood ,NIH| Obesity and Metabolic Risk Disparities: Underlying Food Environment Factors ,NIH| Genetic Epidemiology of Lung Cancer ,NIH| PROSTATE, LUNG, COLORECTAL AND OVARIAN (PLCO) CANCER ,NIH| PATHOLOGY MONITORING--F344 RAT COLONY ,NIH| FINANCIAL STATUS--RETIREMENT SAVING PROGRAMS ,NIH| A Nurse-Community Health Worker-Family Partnership Model to Increase COVID-19 Testing in Urban Underserved and Vulnerable Communities ,NIH| NATURAL HISTORY OF ALCOHOL USE &ABUSE--GENETIC MODELS ,NIH| PROSTATE, LUNG, COLORECTAL AND OVARIAN (PLCO) CANCER ,NIH| OPTIMIZING BEHAVIORAL INTERVENTIONS FOR DRUG ABUSE PREVENTION &TREATMENT ,NIH| Human Development: Interdisciplinary Research Training ,NIH| The Genetics of Vulnerability to Nicotine Addictions ,NIH| Linkage Disequilibrium Studies of Alcohol Dependence ,NIH| Birth Outcomes Among AdolescentsAuthors: Harris, Kathleen Mullan; Udry, J. Richard;Harris, Kathleen Mullan; Udry, J. Richard;doi: 10.3886/icpsr21600.v16 , 10.3886/icpsr21600.v4 , 10.3886/icpsr21600.v21 , 10.3886/icpsr21600.v15 , 10.3886/icpsr21600.v6 , 10.3886/icpsr21600.v17 , 10.3886/icpsr21600.v18 , 10.3886/icpsr21600.v20 , 10.3886/icpsr21600.v19 , 10.3886/icpsr21600.v12 , 10.3886/icpsr21600.v9 , 10.3886/icpsr21600.v22 , 10.3886/icpsr21600.v3 , 10.3886/icpsr21600.v11 , 10.3886/icpsr21600.v2 , 10.3886/icpsr21600.v14 , 10.3886/icpsr21600.v10 , 10.3886/icpsr21600.v1 , 10.3886/icpsr21600.v5 , 10.3886/icpsr21600.v8 , 10.3886/icpsr21600.v13 , 10.3886/icpsr21600.v7
doi: 10.3886/icpsr21600.v16 , 10.3886/icpsr21600.v4 , 10.3886/icpsr21600.v21 , 10.3886/icpsr21600.v15 , 10.3886/icpsr21600.v6 , 10.3886/icpsr21600.v17 , 10.3886/icpsr21600.v18 , 10.3886/icpsr21600.v20 , 10.3886/icpsr21600.v19 , 10.3886/icpsr21600.v12 , 10.3886/icpsr21600.v9 , 10.3886/icpsr21600.v22 , 10.3886/icpsr21600.v3 , 10.3886/icpsr21600.v11 , 10.3886/icpsr21600.v2 , 10.3886/icpsr21600.v14 , 10.3886/icpsr21600.v10 , 10.3886/icpsr21600.v1 , 10.3886/icpsr21600.v5 , 10.3886/icpsr21600.v8 , 10.3886/icpsr21600.v13 , 10.3886/icpsr21600.v7
A Data Guide for this study is available as a web page and for download. The National Longitudinal Study of Adolescent to Adult Health (Add Health), 1994-2008 [Public Use] is a longitudinal study of a nationally representative sample of U.S. adolescents in grades 7 through 12 during the 1994-1995 school year. The Add Health cohort was followed into young adulthood with four in-home interviews, the most recent conducted in 2008 when the sample was aged 24-32. Add Health combines longitudinal survey data on respondents' social, economic, psychological, and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships. Add Health Wave I data collection took place between September 1994 and December 1995, and included both an in-school questionnaire and in-home interview. The in-school questionnaire was administered to more than 90,000 students in grades 7 through 12, and gathered information on social and demographic characteristics of adolescent respondents, education and occupation of parents, household structure, expectations for the future, self-esteem, health status, risk behaviors, friendships, and school-year extracurricular activities. All students listed on a sample school's roster were eligible for selection into the core in-home interview sample. In-home interviews included topics such as health status, health-facility utilization, nutrition, peer networks, decision-making processes, family composition and dynamics, educational aspirations and expectations, employment experience, romantic and sexual partnerships, substance use, and criminal activities. A parent, preferably the resident mother, of each adolescent respondent interviewed in Wave I was also asked to complete an interviewer-assisted questionnaire covering topics such as inheritable health conditions, marriages and marriage-like relationships, neighborhood characteristics, involvement in volunteer, civic, and school activities, health-affecting behaviors, education and employment, household income and economic assistance, parent-adolescent communication and interaction, parent's familiarity with the adolescent's friends and friends' parents. Add Health data collection recommenced for Wave II from April to August 1996, and included almost 15,000 follow-up in-home interviews with adolescents from Wave I. Interview questions were generally similar to Wave I, but also included questions about sun exposure and more detailed nutrition questions. Respondents were asked to report their height and weight during the course of the interview, and were also weighed and measured by the interviewer. From August 2001 to April 2002, Wave III data were collected through in-home interviews with 15,170 Wave I respondents (now 18 to 26 years old), as well as interviews with their partners. Respondents were administered survey questions designed to obtain information about family, relationships, sexual experiences, childbearing, and educational histories, labor force involvement, civic participation, religion and spirituality, mental health, health insurance, illness, delinquency and violence, gambling, substance abuse, and involvement with the criminal justice system. High School Transcript Release Forms were also collected at Wave III, and these data comprise the Education Data component of the Add Health study. Wave IV in-home interviews were conducted in 2008 and 2009 when the original Wave I respondents were 24 to 32 years old. Longitudinal survey data were collected on the social, economic, psychological, and health circumstances of respondents, as well as longitudinal geographic data. Survey questions were expanded on educational transitions, economic status and financial resources and strains, sleep patterns and sleep quality, eating habits and nutrition, illnesses and medications, physical activities, emotional content and quality of current or most recent romantic/cohabiting/marriage relationships, and maltreatment during childhood by caregivers. Dates and circumstances of key life events occurring in young adulthood were also recorded, including a complete marriage and cohabitation history, full pregnancy and fertility histories from both men and women, an educational history of dates of degrees and school attendance, contact with the criminal justice system, military service, and various employment events, including the date of first and current jobs, with respective information on occupation, industry, wages, hours, and benefits. Finally, physical measurements and biospecimens were also collected at Wave IV, and included anthropometric measures of weight, height and waist circumference, cardiovascular measures such as systolic blood pressure, diastolic blood pressure, and pulse, metabolic measures from dried blood spots assayed for lipids, glucose, and glycosylated hemoglobin (HbA1c), measures of inflammation and immune function, including High sensitivity C-reactive protein (hsCRP) and Epstein-Barr virus (EBV). Datasets: DS0: Study-Level Files DS1: Wave I: In-Home Questionnaire, Public Use Sample DS2: Wave I: Public Use Contextual Database DS3: Wave I: Network Variables DS4: Wave I: Public Use Grand Sample Weights DS5: Wave II: In-Home Questionnaire, Public Use Sample DS6: Wave II: Public Use Contextual Database DS7: Wave II: Public Use Grand Sample Weights DS8: Wave III: In-Home Questionnaire, Public Use Sample DS9: Wave III: In-Home Questionnaire, Public Use Sample (Section 17: Relationships) DS10: Wave III: In-Home Questionnaire, Public Use Sample (Section 18: Pregnancies) DS11: Wave III: In-Home Questionnaire, Public Use Sample (Section 19: Relationships in Detail) DS12: Wave III: In-Home Questionnaire, Public Use Sample (Section 22: Completed Pregnancies) DS13: Wave III: In-Home Questionnaire, Public Use Sample (Section 23: Current Pregnancies) DS14: Wave III: In-Home Questionnaire, Public Use Sample (Section 24: Live Births) DS15: Wave III: In-Home Questionnaire, Public Use Sample (Section 25: Children and Parenting) DS16: Wave III: Public Use Education Data DS17: Wave III: Public Use Graduation Data DS18: Wave III: Public Use Education Data Weights DS19: Wave III: Add Health School Weights DS20: Wave III: Peabody Picture Vocabulary Test (PVT), Public Use DS21: Wave III: Public In-Home Weights DS22: Wave IV: In-Home Questionnaire, Public Use Sample DS23: Wave IV: In-Home Questionnaire, Public Use Sample (Section 16B: Relationships) DS24: Wave IV: In-Home Questionnaire, Public Use Sample (Section 16C: Relationships) DS25: Wave IV: In-Home Questionnaire, Public Use Sample (Section 18: Pregnancy Table) DS26: Wave IV: In-Home Questionnaire, Public Use Sample (Section 19: Live Births) DS27: Wave IV: In-Home Questionnaire, Public Use Sample (Section 20A: Children and Parenting) DS28: Wave IV: Biomarkers, Measures of Inflammation and Immune Function DS29: Wave IV: Biomarkers, Measures of Glucose Homeostasis DS30: Wave IV: Biomarkers, Lipids DS31: Wave IV: Public Use Weights Wave I: The Stage 1 in-school sample was a stratified, random sample of all high schools in the United States. A school was eligible for the sample if it included an 11th grade and had a minimum enrollment of 30 students. A feeder school -- a school that sent graduates to the high school and that included a 7th grade -- was also recruited from the community. The in-school questionnaire was administered to more than 90,000 students in grades 7 through 12. The Stage 2 in-home sample of 27,000 adolescents consisted of a core sample from each community, plus selected special over samples. Eligibility for over samples was determined by an adolescent's responses on the in-school questionnaire. Adolescents could qualify for more than one sample.; Wave II: The Wave II in-home interview surveyed almost 15,000 of the same students one year after Wave I.; Wave III: The in-home Wave III sample consists of over 15,000 Wave I respondents who could be located and re-interviewed six years later.; Wave IV: All original Wave I in-home respondents were eligible for in-home interviews at Wave IV. At Wave IV, the Add Health sample was dispersed across the nation with respondents living in all 50 states. Administrators were able to locate 92.5% of the Wave IV sample and interviewed 80.3% of eligible sample members. ; For additional information on sampling, including detailed information on special oversamples, please see the Add Health Study Design page. Add Health was developed in response to a mandate from the U.S. Congress to fund a study of adolescent health. Waves I and II focused on the forces that may influence adolescents' health and risk behaviors, including personal traits, families, friendships, romantic relationships, peer groups, schools, neighborhoods, and communities. As participants aged into adulthood, the scientific goals of the study expanded and evolved. Wave III explored adolescent experiences and behaviors related to decisions, behavior, and health outcomes in the transition to adulthood. Wave IV expanded to examine developmental and health trajectories across the life course of adolescence into young adulthood, using an integrative study design which combined social, behavioral, and biomedical measures data collection. Response Rates: Response rates for each wave were as follows: Wave I: 79 percent; Wave II: 88.6 percent; Wave III: 77.4 percent; Wave IV: 80.3 percent; Adolescents in grades 7 through 12 during the 1994-1995 school year. Respondents were geographically located in the United States. audio computer-assisted self interview (ACASI) computer-assisted personal interview (CAPI) computer-assisted self interview (CASI) paper and pencil interview (PAPI) face-to-face interview
Inter-university Con... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu65 citations 65 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022SAGE Journals SSHRCSSHRCAuthors: Bierman, Alex; Lee, Yeonjung; Penning, Margaret J.;Bierman, Alex; Lee, Yeonjung; Penning, Margaret J.;Supplemental Material for Mental Health Benefits and Detriments of Caregiving Demands: A Nonlinear Association in the Canadian Longitudinal Study on Aging by Alex Bierman, Yeonjung Lee and Margaret J. Penning in Journal of Aging and Health
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020Mendeley SSHRCSSHRCAuthors: Gagne, Christina;Gagne, Christina;Human ratings of hyponymy for 2754 English compound words, The stimuli were selected from the Large Database of English Compounds (LADEC Gagné, Spalding, & Schmidtke, 2019) which is a database of over 8000 English closed (i.e., unspaced) compounds along with various psycholinguistic properties including several measures of semantic transparency (based on human ratings and corpus-based measures of association). In total, 2574 compounds were selected were divided into nine lists ranging from 200 to 354 items. Each list was used for one experiment for a total of nine experiments collected across a 2 year period and was seen by 97 to 121 participants. In total, 936 native speakers of English from the University of Alberta participated in the study. The responses were aggregated to obtain the percentage of participants responding yes for each item. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE
Mendeley Data arrow_drop_down Mendeley Data; NARCIS; DANS-EASYDataset . 2020add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Mendeley Data arrow_drop_down Mendeley Data; NARCIS; DANS-EASYDataset . 2020add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Image 2021SAGE Journals SSHRCSSHRCAuthors: Vargas-Madriz, Luis Francisco; Konishi, Chiaki;Vargas-Madriz, Luis Francisco; Konishi, Chiaki;Supplemental material, sj-jpg-5-cjs-10.1177_08295735211034713 for The Relationship Between Social Support and Student Academic Involvement: The Mediating Role of School Belonging by Luis Francisco Vargas-Madriz and Chiaki Konishi in Canadian Journal of School Psychology
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022The Royal Society EC | NICH, SSHRC, NSERCEC| NICH ,SSHRC ,NSERCAuthors: Alexander, Jake M.; Atwater, Daniel Z.; Colautti, Robert I.; Hargreaves, Anna L.;Alexander, Jake M.; Atwater, Daniel Z.; Colautti, Robert I.; Hargreaves, Anna L.;This file contains code to model adaptive trade-offs across a species' range, and to produce Figs. 2 and 3.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018SAGE Journals SSHRCSSHRCShaver, John H.; Lang, Martin; Krátký, Jan; Klocová, Eva Kundtová; Kundt, Radek; Xygalatas, Dimitris;Supplemental Material, shaver_et_al._analysis_(1) for The Boundaries of Trust: Cross-Religious and Cross-Ethnic Field Experiments in Mauritius by John H. Shaver, Martin Lang, Jan Krátký, Eva Kundtová Klocová, Radek Kundt, and Dimitris Xygalatas in Evolutionary Psychology
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Mendeley NSF | UNS: Regional Industrial ..., SSHRCNSF| UNS: Regional Industrial Structure, Economic Resilience and Energy Consumption: Comparative Evaluation, Historical Analysis and Pathway towards a More Sustainable Economy ,SSHRCAuthors: Cherniwchan, Jevan;Cherniwchan, Jevan;This file describes the data files and execution files needed to recreate tables iii-vi in the paper and all of the figures and tables presented in the online appendix. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE
Mendeley Data arrow_drop_down Mendeley Data; NARCIS; DANS-EASYDataset . 2018add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Mendeley Data arrow_drop_down Mendeley Data; NARCIS; DANS-EASYDataset . 2018add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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Research data keyboard_double_arrow_right Dataset 2010 EnglishICPSR - Interuniversity Consortium for Political and Social Research SSHRCSSHRCAuthors: Hunt, Jennifer; Gauthier-Loiselle, Marjolaine;Hunt, Jennifer; Gauthier-Loiselle, Marjolaine;We measure the extent to which skilled immigrants increase innovation in the United States. The 2003 National Survey of College Graduates shows that immigrants patent at double the native rate, due to their disproportionately holding science and engineering degrees. Using a 1940-2000 state panel, we show that a 1 percentage point increase in immigrant college graduates' population share increases patents per capita by 9-18 percent. Our instrument for the change in the skilled immigrant share is based on the 1940 distribution across states of immigrants from various source regions and the subsequent national increase in skilled immigration from these regions. (JEL J24, J61, O31, O33)
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019Mendeley SSHRCSSHRCAuthors: Krausmann, Fridolin;Krausmann, Fridolin;Global trade (physical trade balances) with cereals, oil crops and meat from 1850/70 to 2016 by world regions; Global sown area, production and yield per unit are of wheat; Global cereal export per capita of global population. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE
Mendeley Data arrow_drop_down Mendeley Data; NARCIS; DANS-EASYDataset . 2019add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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more_vert Mendeley Data arrow_drop_down Mendeley Data; NARCIS; DANS-EASYDataset . 2019