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Research data keyboard_double_arrow_right Dataset 2017figshare EC | LANGDYN, EC | NEUROLEXEC| LANGDYN ,EC| NEUROLEXWingfield, Cai; Su, Li; Xunying Liu; Zhang, Chao; Woodland, Phil; Thwaites, Andrew; Fonteneau, Elisabeth; Marslen-Wilson, William D.;There is widespread interest in the relationship between the neurobiological systems supporting human cognition and emerging computational systems capable of emulating these capacities. Human speech comprehension, poorly understood as a neurobiological process, is an important case in point. Automatic Speech Recognition (ASR) systems with near-human levels of performance are now available, which provide a computationally explicit solution for the recognition of words in continuous speech. This research aims to bridge the gap between speech recognition processes in humans and machines, using novel multivariate techniques to compare incremental ‘machine states’, generated as the ASR analysis progresses over time, to the incremental ‘brain states’, measured using combined electro- and magneto-encephalography (EMEG), generated as the same inputs are heard by human listeners. This direct comparison of dynamic human and machine internal states, as they respond to the same incrementally delivered sensory input, revealed a significant correspondence between neural response patterns in human superior temporal cortex and the structural properties of ASR-derived phonetic models. Spatially coherent patches in human temporal cortex responded selectively to individual phonetic features defined on the basis of machine-extracted regularities in the speech to lexicon mapping process. These results demonstrate the feasibility of relating human and ASR solutions to the problem of speech recognition, and suggest the potential for further studies relating complex neural computations in human speech comprehension to the rapidly evolving ASR systems that address the same problem domain.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 1999 EnglishInter-University Consortium for Political and Social Research NIH | The Greatest Generation: ..., NIH | CORE--PROGRAM DEVELOPMENT, NIH | GENETIC &ENVIRONMENTAL IN... +88 projectsNIH| The Greatest Generation: The NAS-NRC WWII Twin Registry as a Scientific Resource ,NIH| CORE--PROGRAM DEVELOPMENT ,NIH| GENETIC &ENVIRONMENTAL INFLUENCES--BIOBEHAVIORAL AGING ,NIH| Causal Effects of Schooling on Adult and Child Health ,NIH| Research Training Program in the Behavioral and Biomedical Sciences ,AKA| Work, well-being and health - a life course perspective: British arm of Academy of Finland consortia 10190 and 10187 / Consortium: ELRFWCDD ,NIH| Aging, Emotional Well-being, and Physical Health ,NIH| DEMOGRAPHY ,NIH| ORIGINS OF VARIANCE IN THE OLD-OLD: OCTOGENARIAN TWINS ,NIH| CTSA INFRASTRUCTURE FOR CLINICAL TRIALS ,CIHR ,NIH| Integrative Pathways to Health and Illness ,NIH| Personality and Well-Being Trajectories in Adulthood ,SSHRC ,NIH| Social and Economic Analysis of Demographic Change ,NIH| Biopsychosocial Pathways to Type 2 Diabetes ,UKRI| Centre for Cognitive Ageing & Cognitive Epidemiology ,NIH| GCRC ,NIH| HEALTH AND PSYCHOSOCIAL FACTORS IN OLDER BLACK TWINS ,NIH| OLDEST-OLD MORTALITY AND DISABILITY AMONG DANISH TWINS ,NIH| Optimizing Couple-Oriented Interventions for Chronic Illness ,NIH| Sexuality, Aging and Heart Disease: Translating from Population to Patient ,NIH| Informing anti-tobacco communications with affective and decision science: Application of the Appraisal Tendency Framework ,NIH| Genes, Enivronment and the Adjustment of Family Members ,NHMRC| Gene-environment interaction in healthy brain ageing and age related neurodegeneration ,NIH| Wisconsin Longitudinal Study: Tracking the Life Course ,NWO| Genetische en omgevingsinvloeden op psychopathologie en geluk tijdens de adolescentie ,NIH| SES health gradients in late life: testing models of gene-environment interplay in an international twin consortium ,NIH| Daily Stress and Well-Being during Adulthood ,NIH| Health behaviors over the adult lifecourse and cognitive aging ,NIH| Vulnerability to Drug Use & HIV: Advancing Prevention for Rural African Americans ,NIH| AGING AND HEALTH TRAJECTORIES AMONG BLACK &WHITE ADULTS ,AKA| Predictors, neuropsychological correlates, and consequences of cannabis and alcohol use among Finnish young adults. A twin and population approach ,NHMRC| Australian Centre of Excellence in Twin Research ,AKA| Center of Excellence in Complex Disease Genetics-from Discovery to Precision Medicine / Consortium: CoECDG ,NIH| MEASUREMENT OF ESTRADIOL AND OTHER RELATED HORMONES BY TANDEM MASS SPECTROSCOPY ,NIH| Biological Embedding of Early-Life SES ,AKA| Heterogeneity of depression at symptom level: Specific versus general patterns in etiology, development, and disability ,AKA| Work stress and risk of coronary heart disease: Does a healthy life style eliminate the adverse effect? Pooled analysis of 6 major prospective cohort studies from Europe ,NIH| Risk for Alzheimer's Disease and Cognitive Decline in Project TALENT ,NSF| IBSS: Understanding Long-Term Effects on Children in Economic Distress ,NIH| Daily stressor reactivity and profiles of physical health across adulthood ,AKA| Midlife predictors of dementia, frailty and disability at older ages ,NIH| The VETSA Longitudinal MRI Twin Study of Aging ,NIH| Infrastructure for the Office of Population Research ,AKA| Genomic epidemiology of addictions and their consequences - national, Nordic and international dimensions ,AKA| Determinants of labour market participation and prognosis of common chronic diseases in working populations: a study of cohorts in Finland, United Kingdom and France ,AKA| Determinants of labour market participation and prognosis of common chronic diseases in working populations: a study of cohorts in Finland, United Kingdom and France ,NHMRC| The genetic and environmental determinants of amyloid deposition in older individuals: an amyloid imaging study using the twin design ,NWO| A Twin-sibling Study of Adolescent Wellness ,EC| ENGAGE ,NIH| The VETSA Longitudinal Twin Study of Cortisol and Aging ,NIH| Stress, Aging and Working Memory ,ARC| Discovery Projects - Grant ID: DP200100876 ,NIH| TRAINING IN RESEARCH ON MENTAL HEALTH AND AGING ,NIH| A 55-Year Follow-up Study of Project TALENT Twins and Siblings ,NIH| CONTROL BELIEFS, MEMORY, AND AGING ,NIH| WISCONSIN LONGITUDINAL STUDY ,AKA| CoE in Complex Disease Genetics ,AKA| Genomic epidemiology of addictions and their consequences - national, Nordic and international dimensions. ,NIH| SOCIAL AND OCCUPATIONAL INFLUENCES ON HEALTH AND ILLNESS ,NIH| TWIN STUDY OF NORMAL AGING ,NIH| Gene-Environment Interplay of Social Contexts and Aging-Related Outcomes ,NIH| GENETIC AND ENVIRONMENTAL INFLUENCES IN BEHAVIORAL AGING ,AKA| Indicators of marginalization - Role of cognition, substance use and mental health disorders: Longitudinal studies from childhood to end of adolescence ,NIH| Clarifying risk and protective factors for dementia with the Interplay of Genes and Environment in Multiple Studies (IGEMS) consortium ,NIH| Institutional Clinical and Translational Science Award ,AKA| Genetic and environmental predictors of tobacco, drug and alcohol addiction in adolescence and young adulthood ¿ a lifecourse twin and population approach / Consortium: addictgene ,AKA| Determinants of Early Exit from Work Force: An International Multicohort Study. ,NIH| Sex differences in the relationship between APOE and AD: Role of sexual differentiation ,NIH| Self-regulation as a Health-Protective Factor in Adverse Socioeconomic Conditions ,NIH| Histories of Social Engagement and Cognitive Functioning ,NIH| Sleep and Divorce: Identifying Bidirectional Vulnerability and Resilience ,NIH| Genetic Moderators of Divorce Adjustment: A Pilot Investigation ,NIH| Social Regulation of Gene Expression ,NIH| Postdoctoral Training in Geriatric Psychiatry Research ,NIH| Implementing World Health Assembly Resolution 60.26 ???Workers' Health: Global Pl ,NIH| Integrative Analysis of Change in Cognition and Health ,NIH| CHANGES IN HEALTH--SOCIOECONOMIC STATUS AND PATHWAYS ,NIH| UCLA OLDER AMERICANS INDEPENDENCE CENTER ,NIH| Bio-social Determinants of Fertility &Related Behaviors ,NHMRC| The Older Australian Twins Study (OATS) of healthy brain ageing and age-related neurocognitive disorders ,NIH| IMSD Program at Wayne State University ,NIH| 1995 SUMMER INSTITUTE IN GERIATRIC MEDICINE ,NIH| AGING AND INTRAINDIVIDUAL COGNITIVE VARIABILITY ,NIH| A Longitudinal Twin Study of Cognition and Personality ,NIH| Integrative Pathways to Health and Illness ,NIH| A Longitudinal Twin Study of Cognition and Aging ,AKA| Center of Excellence in Complex Disease Genetics ,NIH| Midlife Health in Japan (MIDJA) and the U.S. (MIDUS) ,AKA| Oxygenology of soilBrim, Orville Gilbert; Baltes, Paul B.; Bumpass, Larry L.; Cleary, Paul D.; Featherman, David L.; Hazzard, William R.; Kessler, Ronald C.; Lachman, Margie E.; Markus, Hazel Rose; Marmot, Michael G.; Rossi, Alice S.; Ryff, Carol D.; Shweder, Richard A.;doi: 10.3886/icpsr02760.v11 , 10.3886/icpsr02760.v12 , 10.3886/icpsr02760.v2 , 10.3886/icpsr02760.v18 , 10.3886/icpsr02760.v6 , 10.3886/icpsr02760.v16 , 10.3886/icpsr02760.v4 , 10.3886/icpsr02760.v7 , 10.3886/icpsr02760.v8 , 10.3886/icpsr02760 , 10.3886/icpsr02760.v3 , 10.3886/icpsr02760.v1 , 10.3886/icpsr02760.v14 , 10.3886/icpsr02760.v9 , 10.3886/icpsr02760.v17 , 10.3886/icpsr02760.v15 , 10.3886/icpsr02760.v13 , 10.3886/icpsr02760.v10 , 10.3886/icpsr02760.v19 , 10.3886/icpsr02760.v5
doi: 10.3886/icpsr02760.v11 , 10.3886/icpsr02760.v12 , 10.3886/icpsr02760.v2 , 10.3886/icpsr02760.v18 , 10.3886/icpsr02760.v6 , 10.3886/icpsr02760.v16 , 10.3886/icpsr02760.v4 , 10.3886/icpsr02760.v7 , 10.3886/icpsr02760.v8 , 10.3886/icpsr02760 , 10.3886/icpsr02760.v3 , 10.3886/icpsr02760.v1 , 10.3886/icpsr02760.v14 , 10.3886/icpsr02760.v9 , 10.3886/icpsr02760.v17 , 10.3886/icpsr02760.v15 , 10.3886/icpsr02760.v13 , 10.3886/icpsr02760.v10 , 10.3886/icpsr02760.v19 , 10.3886/icpsr02760.v5
The Midlife in the United States (MIDUS) is a collaborative, interdisciplinary investigation of patterns, predictors, and consequences of midlife development in the areas of physical health, psychological well-being, and social responsibility. A description of the study and findings from it are available at http://www.midus.wisc.edu. The first wave of the MIDUS study (MIDUS 1 or M1) collected survey data from a total of 7,108 participants. The baseline sample was comprised of individuals from four subsamples: (1) a national RDD (random digit dialing) sample (n=3,487); (2) oversamples from five metropolitan areas in the U.S. (n=757); (3) siblings of individuals from the RDD sample (n=950); and (4) a national RDD sample of twin pairs (n=1,914). All eligible participants were non-institutionalized, English-speaking adults in the coterminous United States, aged 25 to 74. Data from the samples were collected primarily in 1995/96. The survey (Project 1) dataset contains responses from a 30-minute Phone interview and two 50-page Self-Administered Questionnaire (SAQ) instruments. Of the 7,108 respondents who completed the Phone interview, 6,325 also completed the SAQ. This updated version of the study is comprised of three primary datasets: Dataset 1, Main, Siblings, and Twin Data, contains responses from the main survey of 7,108 respondents. Respondents were asked to provide extensive information on their physical and mental health throughout their adult lives, and to assess the ways in which their lifestyles, including relationships and work-related demands, contributed to the conditions experienced. Those queried were asked to describe their histories of physical ailments, including heart-related conditions and cancer, as well as the treatment and/or lifestyle changes they went through as a result. A series of questions addressed alcohol, tobacco, and illegal drug use, and focused on history of use, regularity of use, attempts to quit, and how the use of those substances affected respondents' physical and mental well-being. Additional questions addressed respondents' sense of control over their health, their awareness of changes in their medical conditions, commitment to regular exercise and a healthy diet, experience with menopause, the decision-making process used to deal with health concerns, experiences with nontraditional remedies or therapies, and history of attending support groups. Respondents were asked to compare their overall well-being with that of their peers and to describe social, physical, and emotional characteristics typical of adults in their 20's, 40's, and 60's. Information on the work histories of respondents and their significant others was also elicited, with items covering the nature of their occupations, work-related physical and emotional demands, and how their personal health had correlated to their jobs. An additional series of questions focusing on childhood queried respondents regarding the presence/absence of their parents, religion, rules/punishments, love/affection, physical/verbal abuse, and the quality of their relationships with their parents and siblings. Respondents were also asked to consider their personal feelings of accomplishment, desire to learn, sense of control over their lives, interests, and hopes for the future. The Datasets previously numbered 2 and 3 have been removed to avoid redundancies, and all datasets have been renumbered. Please refer to the readme file. Dataset 2, Twin Screener Data, provides the first national sample of twin pairs ascertained randomly via the telephone. Dataset 3, Coded Text Responses, describes how open-ended textual responses in the MIDUS 1 Computer-Assisted Telephone Interview (CATI) and Self-Administered Questionnaire (SAQ) were transformed into categorical numeric codes. These codes are included in a stand-alone dataset containing only those cases (N=3,950) that contained text data in their responses. Online Analysis Only: Datasets 1, 2, and 3 were merged together by the SU_ID variable to form "Merged Data with Weights (Online Analysis Only)" (Dataset 4) for online analysis capabilities. MIDUS also maintains a Colectica portal, which allows users to interact with variables across waves and create customized subsets. Registration is required. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created online analysis version with question text.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. Presence of Common Scales: Generalized Anxiety Disorder (GAD) Scale; Somatic Amplification Scale; The Alcohol Screening Test; The Conflict Tactics (CT) Scales; The Revised Conflict Tactics Scales (CTS2); Loyola Generativity Scale (LGS); Many scales were constructed for use in the Midlife in the United States (MIDUS 1), 1995-1996 Study. For additional information on scale construction and sources, please refer to the scale documentation included with the data collection. Respondents were drawn from a nationally representative random-digit-dial sample of non-institutionalized, English-speaking adults, aged 25-74, selected from working telephone banks in the coterminous United States. Those queried participated in an initial telephone interview and responded to a mail questionnaire. Please see the Descriptions of Midlife in the United Sates (MIDUS) Samples documentation provided by ICPSR for more detailed information. Respondents were drawn from a nationally representative random-digit-dial sample of non-institutionalized, English-speaking adults, aged 25-74, selected from working telephone banks in the coterminous United States. Those queried participated in an initial telephone interview and responded to a mail questionnaire. Smallest Geographic Unit: None Datasets: DS0: Study-Level Files DS1: Main, Siblings and Twin Data DS2: Twin Screener Data DS3: Coded Text Data DS4: Merged Data with Weights (Online Analysis Only) DS6: Midlife in the United States (MIDUS 1), 1995-1996, Merged Data with Weights (Online Analysis Only) Response Rates: The response rate for the national Random-Digit Dialing (RDD) sample was 70 percent. The Self-Administered Questionnaire (SAQ) follow-up response rate was 89 percent. computer-assisted telephone interview (CATI) Midlife in the United States (MIDUS) Series self-enumerated questionnaire mail questionnaire
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020Zenodo EC | SYNTHESYS PLUSEC| SYNTHESYS PLUSWalton, Stephanie; Livermore, Laurence; Bánki, Olaf; Cubey, Robert; Drinkwater, Robyn; Englund, Markus; Goble, Carole; Groom, Quentin; Kermorvant, Christopher; Rey, Isabel; Santos, Celia; Scott, Ben; Williams, Alan; Wu, Zhengzhe;Tools and services evaluation speadsheet
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Research data keyboard_double_arrow_right Dataset 2017figshare EC | LANGDYN, EC | NEUROLEXEC| LANGDYN ,EC| NEUROLEXWingfield, Cai; Su, Li; Xunying Liu; Zhang, Chao; Woodland, Phil; Thwaites, Andrew; Fonteneau, Elisabeth; Marslen-Wilson, William D.;There is widespread interest in the relationship between the neurobiological systems supporting human cognition and emerging computational systems capable of emulating these capacities. Human speech comprehension, poorly understood as a neurobiological process, is an important case in point. Automatic Speech Recognition (ASR) systems with near-human levels of performance are now available, which provide a computationally explicit solution for the recognition of words in continuous speech. This research aims to bridge the gap between speech recognition processes in humans and machines, using novel multivariate techniques to compare incremental ‘machine states’, generated as the ASR analysis progresses over time, to the incremental ‘brain states’, measured using combined electro- and magneto-encephalography (EMEG), generated as the same inputs are heard by human listeners. This direct comparison of dynamic human and machine internal states, as they respond to the same incrementally delivered sensory input, revealed a significant correspondence between neural response patterns in human superior temporal cortex and the structural properties of ASR-derived phonetic models. Spatially coherent patches in human temporal cortex responded selectively to individual phonetic features defined on the basis of machine-extracted regularities in the speech to lexicon mapping process. These results demonstrate the feasibility of relating human and ASR solutions to the problem of speech recognition, and suggest the potential for further studies relating complex neural computations in human speech comprehension to the rapidly evolving ASR systems that address the same problem domain.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 1999 EnglishInter-University Consortium for Political and Social Research NIH | The Greatest Generation: ..., NIH | CORE--PROGRAM DEVELOPMENT, NIH | GENETIC &ENVIRONMENTAL IN... +88 projectsNIH| The Greatest Generation: The NAS-NRC WWII Twin Registry as a Scientific Resource ,NIH| CORE--PROGRAM DEVELOPMENT ,NIH| GENETIC &ENVIRONMENTAL INFLUENCES--BIOBEHAVIORAL AGING ,NIH| Causal Effects of Schooling on Adult and Child Health ,NIH| Research Training Program in the Behavioral and Biomedical Sciences ,AKA| Work, well-being and health - a life course perspective: British arm of Academy of Finland consortia 10190 and 10187 / Consortium: ELRFWCDD ,NIH| Aging, Emotional Well-being, and Physical Health ,NIH| DEMOGRAPHY ,NIH| ORIGINS OF VARIANCE IN THE OLD-OLD: OCTOGENARIAN TWINS ,NIH| CTSA INFRASTRUCTURE FOR CLINICAL TRIALS ,CIHR ,NIH| Integrative Pathways to Health and Illness ,NIH| Personality and Well-Being Trajectories in Adulthood ,SSHRC ,NIH| Social and Economic Analysis of Demographic Change ,NIH| Biopsychosocial Pathways to Type 2 Diabetes ,UKRI| Centre for Cognitive Ageing & Cognitive Epidemiology ,NIH| GCRC ,NIH| HEALTH AND PSYCHOSOCIAL FACTORS IN OLDER BLACK TWINS ,NIH| OLDEST-OLD MORTALITY AND DISABILITY AMONG DANISH TWINS ,NIH| Optimizing Couple-Oriented Interventions for Chronic Illness ,NIH| Sexuality, Aging and Heart Disease: Translating from Population to Patient ,NIH| Informing anti-tobacco communications with affective and decision science: Application of the Appraisal Tendency Framework ,NIH| Genes, Enivronment and the Adjustment of Family Members ,NHMRC| Gene-environment interaction in healthy brain ageing and age related neurodegeneration ,NIH| Wisconsin Longitudinal Study: Tracking the Life Course ,NWO| Genetische en omgevingsinvloeden op psychopathologie en geluk tijdens de adolescentie ,NIH| SES health gradients in late life: testing models of gene-environment interplay in an international twin consortium ,NIH| Daily Stress and Well-Being during Adulthood ,NIH| Health behaviors over the adult lifecourse and cognitive aging ,NIH| Vulnerability to Drug Use & HIV: Advancing Prevention for Rural African Americans ,NIH| AGING AND HEALTH TRAJECTORIES AMONG BLACK &WHITE ADULTS ,AKA| Predictors, neuropsychological correlates, and consequences of cannabis and alcohol use among Finnish young adults. A twin and population approach ,NHMRC| Australian Centre of Excellence in Twin Research ,AKA| Center of Excellence in Complex Disease Genetics-from Discovery to Precision Medicine / Consortium: CoECDG ,NIH| MEASUREMENT OF ESTRADIOL AND OTHER RELATED HORMONES BY TANDEM MASS SPECTROSCOPY ,NIH| Biological Embedding of Early-Life SES ,AKA| Heterogeneity of depression at symptom level: Specific versus general patterns in etiology, development, and disability ,AKA| Work stress and risk of coronary heart disease: Does a healthy life style eliminate the adverse effect? Pooled analysis of 6 major prospective cohort studies from Europe ,NIH| Risk for Alzheimer's Disease and Cognitive Decline in Project TALENT ,NSF| IBSS: Understanding Long-Term Effects on Children in Economic Distress ,NIH| Daily stressor reactivity and profiles of physical health across adulthood ,AKA| Midlife predictors of dementia, frailty and disability at older ages ,NIH| The VETSA Longitudinal MRI Twin Study of Aging ,NIH| Infrastructure for the Office of Population Research ,AKA| Genomic epidemiology of addictions and their consequences - national, Nordic and international dimensions ,AKA| Determinants of labour market participation and prognosis of common chronic diseases in working populations: a study of cohorts in Finland, United Kingdom and France ,AKA| Determinants of labour market participation and prognosis of common chronic diseases in working populations: a study of cohorts in Finland, United Kingdom and France ,NHMRC| The genetic and environmental determinants of amyloid deposition in older individuals: an amyloid imaging study using the twin design ,NWO| A Twin-sibling Study of Adolescent Wellness ,EC| ENGAGE ,NIH| The VETSA Longitudinal Twin Study of Cortisol and Aging ,NIH| Stress, Aging and Working Memory ,ARC| Discovery Projects - Grant ID: DP200100876 ,NIH| TRAINING IN RESEARCH ON MENTAL HEALTH AND AGING ,NIH| A 55-Year Follow-up Study of Project TALENT Twins and Siblings ,NIH| CONTROL BELIEFS, MEMORY, AND AGING ,NIH| WISCONSIN LONGITUDINAL STUDY ,AKA| CoE in Complex Disease Genetics ,AKA| Genomic epidemiology of addictions and their consequences - national, Nordic and international dimensions. ,NIH| SOCIAL AND OCCUPATIONAL INFLUENCES ON HEALTH AND ILLNESS ,NIH| TWIN STUDY OF NORMAL AGING ,NIH| Gene-Environment Interplay of Social Contexts and Aging-Related Outcomes ,NIH| GENETIC AND ENVIRONMENTAL INFLUENCES IN BEHAVIORAL AGING ,AKA| Indicators of marginalization - Role of cognition, substance use and mental health disorders: Longitudinal studies from childhood to end of adolescence ,NIH| Clarifying risk and protective factors for dementia with the Interplay of Genes and Environment in Multiple Studies (IGEMS) consortium ,NIH| Institutional Clinical and Translational Science Award ,AKA| Genetic and environmental predictors of tobacco, drug and alcohol addiction in adolescence and young adulthood ¿ a lifecourse twin and population approach / Consortium: addictgene ,AKA| Determinants of Early Exit from Work Force: An International Multicohort Study. ,NIH| Sex differences in the relationship between APOE and AD: Role of sexual differentiation ,NIH| Self-regulation as a Health-Protective Factor in Adverse Socioeconomic Conditions ,NIH| Histories of Social Engagement and Cognitive Functioning ,NIH| Sleep and Divorce: Identifying Bidirectional Vulnerability and Resilience ,NIH| Genetic Moderators of Divorce Adjustment: A Pilot Investigation ,NIH| Social Regulation of Gene Expression ,NIH| Postdoctoral Training in Geriatric Psychiatry Research ,NIH| Implementing World Health Assembly Resolution 60.26 ???Workers' Health: Global Pl ,NIH| Integrative Analysis of Change in Cognition and Health ,NIH| CHANGES IN HEALTH--SOCIOECONOMIC STATUS AND PATHWAYS ,NIH| UCLA OLDER AMERICANS INDEPENDENCE CENTER ,NIH| Bio-social Determinants of Fertility &Related Behaviors ,NHMRC| The Older Australian Twins Study (OATS) of healthy brain ageing and age-related neurocognitive disorders ,NIH| IMSD Program at Wayne State University ,NIH| 1995 SUMMER INSTITUTE IN GERIATRIC MEDICINE ,NIH| AGING AND INTRAINDIVIDUAL COGNITIVE VARIABILITY ,NIH| A Longitudinal Twin Study of Cognition and Personality ,NIH| Integrative Pathways to Health and Illness ,NIH| A Longitudinal Twin Study of Cognition and Aging ,AKA| Center of Excellence in Complex Disease Genetics ,NIH| Midlife Health in Japan (MIDJA) and the U.S. (MIDUS) ,AKA| Oxygenology of soilBrim, Orville Gilbert; Baltes, Paul B.; Bumpass, Larry L.; Cleary, Paul D.; Featherman, David L.; Hazzard, William R.; Kessler, Ronald C.; Lachman, Margie E.; Markus, Hazel Rose; Marmot, Michael G.; Rossi, Alice S.; Ryff, Carol D.; Shweder, Richard A.;doi: 10.3886/icpsr02760.v11 , 10.3886/icpsr02760.v12 , 10.3886/icpsr02760.v2 , 10.3886/icpsr02760.v18 , 10.3886/icpsr02760.v6 , 10.3886/icpsr02760.v16 , 10.3886/icpsr02760.v4 , 10.3886/icpsr02760.v7 , 10.3886/icpsr02760.v8 , 10.3886/icpsr02760 , 10.3886/icpsr02760.v3 , 10.3886/icpsr02760.v1 , 10.3886/icpsr02760.v14 , 10.3886/icpsr02760.v9 , 10.3886/icpsr02760.v17 , 10.3886/icpsr02760.v15 , 10.3886/icpsr02760.v13 , 10.3886/icpsr02760.v10 , 10.3886/icpsr02760.v19 , 10.3886/icpsr02760.v5
doi: 10.3886/icpsr02760.v11 , 10.3886/icpsr02760.v12 , 10.3886/icpsr02760.v2 , 10.3886/icpsr02760.v18 , 10.3886/icpsr02760.v6 , 10.3886/icpsr02760.v16 , 10.3886/icpsr02760.v4 , 10.3886/icpsr02760.v7 , 10.3886/icpsr02760.v8 , 10.3886/icpsr02760 , 10.3886/icpsr02760.v3 , 10.3886/icpsr02760.v1 , 10.3886/icpsr02760.v14 , 10.3886/icpsr02760.v9 , 10.3886/icpsr02760.v17 , 10.3886/icpsr02760.v15 , 10.3886/icpsr02760.v13 , 10.3886/icpsr02760.v10 , 10.3886/icpsr02760.v19 , 10.3886/icpsr02760.v5
The Midlife in the United States (MIDUS) is a collaborative, interdisciplinary investigation of patterns, predictors, and consequences of midlife development in the areas of physical health, psychological well-being, and social responsibility. A description of the study and findings from it are available at http://www.midus.wisc.edu. The first wave of the MIDUS study (MIDUS 1 or M1) collected survey data from a total of 7,108 participants. The baseline sample was comprised of individuals from four subsamples: (1) a national RDD (random digit dialing) sample (n=3,487); (2) oversamples from five metropolitan areas in the U.S. (n=757); (3) siblings of individuals from the RDD sample (n=950); and (4) a national RDD sample of twin pairs (n=1,914). All eligible participants were non-institutionalized, English-speaking adults in the coterminous United States, aged 25 to 74. Data from the samples were collected primarily in 1995/96. The survey (Project 1) dataset contains responses from a 30-minute Phone interview and two 50-page Self-Administered Questionnaire (SAQ) instruments. Of the 7,108 respondents who completed the Phone interview, 6,325 also completed the SAQ. This updated version of the study is comprised of three primary datasets: Dataset 1, Main, Siblings, and Twin Data, contains responses from the main survey of 7,108 respondents. Respondents were asked to provide extensive information on their physical and mental health throughout their adult lives, and to assess the ways in which their lifestyles, including relationships and work-related demands, contributed to the conditions experienced. Those queried were asked to describe their histories of physical ailments, including heart-related conditions and cancer, as well as the treatment and/or lifestyle changes they went through as a result. A series of questions addressed alcohol, tobacco, and illegal drug use, and focused on history of use, regularity of use, attempts to quit, and how the use of those substances affected respondents' physical and mental well-being. Additional questions addressed respondents' sense of control over their health, their awareness of changes in their medical conditions, commitment to regular exercise and a healthy diet, experience with menopause, the decision-making process used to deal with health concerns, experiences with nontraditional remedies or therapies, and history of attending support groups. Respondents were asked to compare their overall well-being with that of their peers and to describe social, physical, and emotional characteristics typical of adults in their 20's, 40's, and 60's. Information on the work histories of respondents and their significant others was also elicited, with items covering the nature of their occupations, work-related physical and emotional demands, and how their personal health had correlated to their jobs. An additional series of questions focusing on childhood queried respondents regarding the presence/absence of their parents, religion, rules/punishments, love/affection, physical/verbal abuse, and the quality of their relationships with their parents and siblings. Respondents were also asked to consider their personal feelings of accomplishment, desire to learn, sense of control over their lives, interests, and hopes for the future. The Datasets previously numbered 2 and 3 have been removed to avoid redundancies, and all datasets have been renumbered. Please refer to the readme file. Dataset 2, Twin Screener Data, provides the first national sample of twin pairs ascertained randomly via the telephone. Dataset 3, Coded Text Responses, describes how open-ended textual responses in the MIDUS 1 Computer-Assisted Telephone Interview (CATI) and Self-Administered Questionnaire (SAQ) were transformed into categorical numeric codes. These codes are included in a stand-alone dataset containing only those cases (N=3,950) that contained text data in their responses. Online Analysis Only: Datasets 1, 2, and 3 were merged together by the SU_ID variable to form "Merged Data with Weights (Online Analysis Only)" (Dataset 4) for online analysis capabilities. MIDUS also maintains a Colectica portal, which allows users to interact with variables across waves and create customized subsets. Registration is required. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created online analysis version with question text.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. Presence of Common Scales: Generalized Anxiety Disorder (GAD) Scale; Somatic Amplification Scale; The Alcohol Screening Test; The Conflict Tactics (CT) Scales; The Revised Conflict Tactics Scales (CTS2); Loyola Generativity Scale (LGS); Many scales were constructed for use in the Midlife in the United States (MIDUS 1), 1995-1996 Study. For additional information on scale construction and sources, please refer to the scale documentation included with the data collection. Respondents were drawn from a nationally representative random-digit-dial sample of non-institutionalized, English-speaking adults, aged 25-74, selected from working telephone banks in the coterminous United States. Those queried participated in an initial telephone interview and responded to a mail questionnaire. Please see the Descriptions of Midlife in the United Sates (MIDUS) Samples documentation provided by ICPSR for more detailed information. Respondents were drawn from a nationally representative random-digit-dial sample of non-institutionalized, English-speaking adults, aged 25-74, selected from working telephone banks in the coterminous United States. Those queried participated in an initial telephone interview and responded to a mail questionnaire. Smallest Geographic Unit: None Datasets: DS0: Study-Level Files DS1: Main, Siblings and Twin Data DS2: Twin Screener Data DS3: Coded Text Data DS4: Merged Data with Weights (Online Analysis Only) DS6: Midlife in the United States (MIDUS 1), 1995-1996, Merged Data with Weights (Online Analysis Only) Response Rates: The response rate for the national Random-Digit Dialing (RDD) sample was 70 percent. The Self-Administered Questionnaire (SAQ) follow-up response rate was 89 percent. computer-assisted telephone interview (CATI) Midlife in the United States (MIDUS) Series self-enumerated questionnaire mail questionnaire
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020Zenodo EC | SYNTHESYS PLUSEC| SYNTHESYS PLUSWalton, Stephanie; Livermore, Laurence; Bánki, Olaf; Cubey, Robert; Drinkwater, Robyn; Englund, Markus; Goble, Carole; Groom, Quentin; Kermorvant, Christopher; Rey, Isabel; Santos, Celia; Scott, Ben; Williams, Alan; Wu, Zhengzhe;Tools and services evaluation speadsheet
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