Contributors: Madera, Juan
... The current study used experimental methods in which adults with full-time jobs evaluated an organization that included information about the percentage of women in top management (53%, 23%, or 3%). The results showed that women were more attracted than men to an organization with the highest levels of women in top management (53% of management). The results also showed that women perceived more fairness than did men for the condition with women representing 53% of management. Women also perceived less fairness than did male participants when women only represented 3% of top management. The current research provides important implications that can inform organizations' efforts to attract women. In particular, the current research suggests that women use information about the sex composition of a company's top management positions, and that this information influences organizational attraction because they perceive such organizations to be fair for women.
Contributors: Young, Carmen, Fa-Kaji, Naomi, Cheng, Shannon, Beier, Margaret, Hebl, Mikki
... This study used manipulations of individuation (individuated vs. non-individuated) and goal type (agentic vs. communal) to examine STEM professors' receptiveness toward male and female prospective students' email requests for meetings. Non-individuated students simply sent a meeting request; individuated students provided an additional statement highlighting their research experience. Agentic goal types focused on stereotypically "male" traits such as agency and leadership, and communal goal types focused on stereotypically "female" traits such as helping and serving. Emails were sent to a sample of 1,879 STEM professors in the United States who had previously recommended their female students for a career development workshop.
Contributors: Xiao, Zhenyu, Zhang, Chunyuan, Zeng, Yi, Vaupel, James W., Liu, Yuzhi
... These data are being released in BETA version to facilitate early access to the study for research purposes. This collection has not been fully processed by ICPSR at this time; the original materials provided by the principal investigator were minimally processed and converted to other file types for ease of use. As the study is further processed and given enhanced features by ICPSR, users will be able to access the updated versions of the study. Please report any data errors or problems to user support and we will work with you to resolve any data related issues. The Chinese Longitudinal Healthy Longevity Survey (CLHLS) provides information on health status and quality of life of the elderly aged 65 and older in 22 provinces of China in the period 2002 to 2005. The study was conducted to shed light on the determinants of healthy human longevity and advanced age mortality. To this end, data were collected on a large percentage of the oldest population, including centenarian and nonagenarian; the CLHLS provides information on the health, socioeconomic characteristics, family, lifestyle, and demographic profile of this aged population. Data are provided on respondents' health conditions, daily functioning, self-perceptions of health status and quality of life, life satisfaction, mental attitude, and feelings about aging. Respondents were asked about their diet and nutrition, use of medical services, and drinking and smoking habits, including how long ago they quit either or both. They were also asked about their physical activities, reading habits, television viewing, and religious activities, and were tested for motor skills, memory, and visual functioning. In order to ascertain their current state of health, respondents were asked if they suffered from such health conditions as hypertension, diabetes, heart disease, stroke, cancer, emphysema, asthma, tuberculosis, cataracts, glaucoma, gastric or duodenal ulcer, arthritis, Parkinson's disease, bedsores, or other chronic diseases. Respondents were further queried about assistance with bathing, dressing, toileting, or feeding, and who provided help in times of illness. Other questions focused on siblings, parents, and children, the frequency of family visits, and the distance lived from each other. Demographic and background variables include age, sex, ethnicity, place of birth, marital history and status, history of childbirth, living arrangements, education, main occupation before age 60, and sources of financial support.
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Contributors: Xiao, Zhenyu, Zhang, Chunyuan, Zeng, Yi, Vaupel, James, Liu, Yuzhi
... These data are being released in BETA version to facilitate early access to the study for research purposes. This collection has not been fully processed by NACDA or ICPSR at this time; the original materials provided by the principal investigator were minimally processed and converted to other file types for ease of use. As the study is further processed and given enhanced features by ICPSR, users will be able to access the updated versions of the study. Please report any data errors or problems to user support and we will work with you to resolve any data related issues. Additional information about the Chinese Longitudinal Healthy Longevity Survey as well as study design can be found at the Center for the Study of Aging and Human Development Web site. The CLHLS community datasets are auxiliary to the follow-up datasets of Chinese Longitudinal Healthy Longevity Survey (CLHLS) during the seven waves (1998, 2000, 2002, 2005, 2008, 2011, and 2014), which were collected by the Center for Healthy Aging and Development Studies (CHADS) of National School of Development at Peking University from a wide variety of publicly issued statistical yearbooks in China. The 1998-2014 CLHLS community datasets are based on the county-level areas where the elderly respondents of the same waves are living, which covers 23 provinces and more than 860 counties/districts. The CLHLS community datasets contain information about the geographical environment, population, economic conditions, social welfare statistics, etc. of province-level areas where the elderly respondents are living.
Contributors: Zeng, Yi, Vaupel, James W.
... These data are being released in BETA version to facilitate early access to the study for research purposes. The collection has not been fully processed by ICPSR at this time; the original material provided by the principal investigator were only converted to other file types for ease of use. As the study is processed and given enhanced features by ICPSR, users will be able to access the updated versions of the study. Please report any data errors or problems to user support and we will work with you to resolve any data-related issues. The Chinese Longitudinal Healthy Longevity Survey (CLHLS) biomarkers datasets were collected by the Center for Healthy Aging and Development Studies (CHADS) of National School of Development at Peking University and Chinese Center for Disease Control and Prevention (CDC). The datasets are compromised of the in-depth studies conducted in 8 longevity areas in the CLHLS' 5th, 6th and 7th waves in 2009, 2012 and 2014, respectively. During these studies, China CDC local network medical doctors conducted physical examinations of the participants and collected 7,334 samples from the centenarians, the oldest-old aged 90-99 and other younger age groups. The biomarkers datasets contain about 30 indicators on routine blood/urine tests and blood biochemical tests. The demographic variables in this collection include age and sex.
Contributors: Abramson, David M. (David Michael)
... This collection consists of a repeated panel survey that explored attitudes and behaviors related to the emerging Zika virus in 2016-2017. The respondents consisted of women of child-bearing age, ages 18-45, residing in the United States. Three waves of data collection were conducted between July 25, 2016 and Dec 22, 2017. Demographic variables include questions related to age, race, highest level of education, household income, and political affiliation.
Contributors: Michigan. Department of Natural Resources
... These data are publicly available as part of Michigan's Open Data Portal and are updated regularly by the state. This collection is provided by the Michigan Department of Natural Resources (DNR) and features an inventory of 36 fish species found in Michigan lakes, rivers, ponds, and streams. Detailed descriptions for each species include common and Latin species name, identifying physical characteristics, habitat, migration, spawning habits, growth, and life span. Fishing tips for a number of species are also provided, including recommended bait and fishing locations, as well as references to official DNR fishing materials Michigan Fish and How to Catch Them and Better Fishing Waters.
Contributors: United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics
... The primary purpose of the Identity Theft Supplement (ITS) is to measure the prevalence of identity theft among persons, the characteristics of identity theft victims, and patterns of reporting to the police, credit bureaus, and other authorities. The ITS was also designed to collect important characteristics of identity theft such as how the victim's personal information was obtained; the physical, emotional and financial impact on victims; offender information; and the measures people take to avoid or minimize their risk of becoming an identity theft victim. The information is intended for use by policymakers, academic researchers, practitioners at the Federal, state and local levels, and special interest groups who are concerned with identity theft to make informed decisions concerning policies and programs. Responses are linked to the NCVS survey instrument responses for a more complete understanding of the individual's circumstances. The 2016 Identity Theft Supplement (ITS) was the fourth implementation of this supplement to the annual NCVS to obtain specific information about identity theft-related victimization on a national level. Since the ITS is a supplement to the NCVS, it is conducted under the authority of title 42, United States Code, sections 3732. Only Census employees sworn to preserve confidentiality may see the completed questionnaires.
Contributors: Minton, Sarah, Giannarelli, Linda
... The Child Care and Development Fund (CCDF) provides federal money to States and Territories to provide assistance to low-income families receiving or in transition from temporary public assistance, to obtain quality child care so they can work, attend training, or receive education. Within the broad federal parameters, states and territories set the detailed policies. Those details determine whether a particular family will or will not be eligible for subsidies, how much the family will have to pay for the care, how families apply for and retain subsidies, the maximum amounts that child care providers will be reimbursed, and the administrative procedures that providers must follow. Thus, while CCDF is a single program from the perspective of federal law, it is in practice a different program in every state and territory. The CCDF Policies Database project is a comprehensive, up-to-date database of inter-related sources of CCDF policy information that support the needs of a variety of audiences through (1) Analytic Data Files, (2) a Book of Tables, and (3) a project website and search tool. These are made available to researchers, administrators, and policymakers with the goal of addressing important questions concerning the effects of alternative child care subsidy policies and practices on the children and families served, specifically parental employment and self-sufficiency, the availability and quality of care, and children's development. A description of the Data Files, Book of Tables, and Project Website and Search Tool is provided below: 1. Detailed, longitudinal Analytic Data Files of CCDF policy information for all 50 States, the District of Columbia, and United States Territories that capture the policies actually in effect at a point in time, rather than proposals or legislation. They focus on the policies in place at the start of each fiscal year, but also capture changes during that fiscal year. The data are organized into 32 categories with each category of variables separated into its own dataset. The categories span five general areas of policy including: Eligibility Requirements for Families and Children (Datasets 1-5) Family Application, Terms of Authorization, and Redetermination (Datasets 6-13) Family Payments (Datasets 14-18) Policies for Providers, Including Maximum Reimbursement Rates (Datasets 19-27) Overall Administrative and Quality Information Plans (Datasets 28-32) The information in the Data Files is based primarily on the documents that caseworkers use as they work with families and providers (often termed "caseworker manuals"). The caseworker manuals generally provide much more detailed information on eligibility, family payments, and provider-related policies than the documents submitted by states and territories to the federal government. The caseworker manuals also provide ongoing detail for periods in between submission dates. Each dataset contains a series of variables designed to capture the intricacies of the rules covered in the category. The variables include a mix of categorical, numeric, and text variables. Every variable has a corresponding notes field to capture additional details related to that particular variable. In addition, each category has an additional notes field to capture any information regarding the rules that is not already outlined in the category's variables. 2. The Book of Tables is available as nine datasets (Datasets 33-41) and they present key aspects of the differences in CCDF funded programs across all states and territories as of October 1, 2017. The Book of Tables includes variables that are calculated using several variables from the Data Files (Datasets 1-32). The Book of Tables summarizes a subset of the information available in the Data Files, and includes information about eligibility requirements for families; application, redetermination, priority, and waiting list policies; family co-payments; provider policies and reimbursement rates; and select administration and quality development information. In many cases, a variable in the Book of Tables will correspond to a single variable in the Data File. Usually, the variable options used in the Book of Tables will match the variable options in the Data File. In some cases, the wording of the variable options may have been slightly modified for the tables. 3. The Project Website and Search Tool provides access to a point-and-click user interface. Users can select from the full set of public data to create custom tables. The website also provides access to the full range of reports and products released under the CCDF Policies Database project. The Project Website/Search Tool and the Data Files provide a more detailed set of information than what the Book of Tables provides, including a wider selection of variables and policies over time.
Contributors: Dank, Meredith L., Zweig, Janine M.
... These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. The Urban Institute, in collaboration with Tahirih Justice Center, sought to examine forced marriages in the United States via an exploratory study of the victimization experiences of those subjected to and threatened with forced marriage. The study also sought to begin to understand elements at the intersection of forced marriage with intimate partner and sexual violence, such as: how perpetrators threaten and actually force victims into marriages; the elements of force, fraud, or coercion in the tactics used to carry out victimization; other case demographics and dynamics (e.g., overseas marriages versus those in the United States); factors that put individuals at risk of forced marriage or that trigger or elevate their risk of related abuses; help-seeking behavior; the role of social, cultural, and religious norms in forced marriage; and the ability (or lack thereof) of service providers, school officials, and government agencies with protection mandates (law enforcement, child protection, and social workers) to screen for, and respond to, potential and reported cases of forced marriage. This collection contains 1 Stata file: ICPSR-Data-File.dta (21007 cases; 48 variables). The qualitative data are not available as part of this data collection at this time.