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Showing 1 – 21 of 21 results.
Curated

Agricultural and Demographic Records for Rural Households in the North, 1860: [Instructional Materials] (ICPSR 3463)

Released/updated on: 2002-10-17
Geographic coverage: Vermont, Indiana, United States, Minnesota, Kansas, New York (state), New Jersey, Michigan, Pennsylvania, Iowa, Illinois, Connecticut, Missouri, New Hampshire, Ohio, Maryland, Wisconsin
These instructional materials were prepared for use with AGRICULTURAL AND DEMOGRAPHIC RECORDS FOR HOUSEHOLDS IN THE NORTH, 1860 (ICPSR 7420), compiled by Fred Bateman and James D. Foust. The data file and accompanying documentation are provided to assist educators in (an SPSS portable file) instructing students about the history of agriculture and rural life in the North, just prior to the Civil War. An instructor's handout has also been included. This handout contains the following sections, among others: (1) General goals for student analysis of quantitative datasets, (2) Specific goals in studying this dataset, (3) Suggested appropriate courses for use of the dataset, (4) Tips for using the dataset, and (5) Related secondary source readings. Demographic, occupational, and economic information for over 21,000 rural households in the northern United States in 1860 are presented in the dataset. The data were obtained from the manuscript agricultural and population schedules of the 1860 United States Census and are provided for all households in a single township from each of the 102 randomly-selected counties in 16 northern states. Variables in the dataset include farm values, livestock, and crop production figures for the households that owned or operated farms (over half the households sampled), as well as value of real and personal estate, color, sex, age, literacy, school attendance, occupation, place of birth, and parents' nationality of all individuals residing in the sampled townships.
Curated

American Community Survey (ACS): Three-Year Public Use Microdata Sample (PUMS), 2005-2007 (ICPSR 25042)

Released/updated on: 2010-02-04
Geographic coverage: North Carolina, Indiana, Wyoming, Utah, Arizona, Montana, Kentucky, California, Kansas, Florida, Delaware, Pennsylvania, Mississippi, Iowa, Illinois, Texas, Connecticut, Georgia, Virginia, Maryland, Idaho, Oregon, Vermont, Puerto Rico, United States, Oklahoma, Tennessee, Maine, Alabama, Arkansas, Washington, South Carolina, Nebraska, West Virginia, Massachusetts, Colorado, Missouri, Alaska, North Dakota, Wisconsin, Nevada, District of Columbia, Rhode Island, South Dakota, Hawaii, Minnesota, New York (state), New Jersey, Michigan, New Mexico, New Hampshire, Louisiana, Ohio
Time period: 2005-11-01--2007-12-01
The American Community Survey (ACS) is a part of the Decennial Census Program, and is designed to produce critical information about the characteristics of local communities. The ACS publishes social, housing, and economic characteristics for demographic groups covering a broad spectrum of geographic areas in the United States and Puerto Rico. Every year the ACS supports the release of single-year estimates for geographic areas with populations of 65,000 or more. Demographic variables include sex, age, relationship, households by type, race, and Hispanic origin. Social characteristics variables include school enrollment, educational attainment, marital status, fertility, grandparents caring for children, veteran status, disability status, residence one year ago, place of birth, United States citizenship status, year of entry, world region of birth of foreign born, language spoken at home, and ancestry. Variables focusing on economic characteristics include employment status, commuting to work, occupation, industry, class of worker, income and benefits, and poverty status. Variables focusing on housing characteristics include occupancy, units in structure, year structure was built, number of rooms, number of bedrooms, housing tenure, year householder moved into unit, vehicles available, house heating fuel, utility costs, occupants per room, housing value, and mortgage status. The American Community Survey is conducted under the authority of Title 13, United States Code, Sections 141 and 193, and response is mandatory.
Curated
Simple Crosstabs

Behavioral Risk Factor Surveillance System (BRFSS), 2003 (ICPSR 34085)

Released/updated on: 2013-08-05
Geographic coverage: Oregon, Vermont, Puerto Rico, Indiana, United States, Oklahoma, Maine, Utah, Nebraska, West Virginia, Massachusetts, North Dakota, Wisconsin, Arizona, Nevada, District of Columbia, Rhode Island, Montana, Hawaii, Kansas, New York (state), New Jersey, Michigan, Iowa, New Mexico, Illinois, Texas, Connecticut, New Hampshire, Louisiana, Ohio, Georgia, Virginia, Maryland
The Behavioral Risk Factor Surveillance System (BRFSS) is a state-based system of health surveys that collects information on health risk behaviors, preventive health practices, and health care access primarily related to chronic disease and injury. For many states, the BRFSS is the only available source of timely, accurate data on health-related behaviors. BRFSS was established in 1984 by the Centers for Disease Control and Prevention (CDC); currently data are collected monthly in all 50 states, the District of Columbia, Puerto Rico, the United States Virgin Islands, and Guam. More than 350,000 adults are interviewed each year, making the BRFSS the largest telephone health survey in the world. States use BRFSS data to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. The BRFSS is a cross-sectional telephone survey conducted by state health departments with technical and methodologic assistance provided by CDC. States conduct monthly telephone surveillance using a standardized questionnaire to determine the distribution of risk behaviors and health practices among adults. Responses are forwarded to CDC, where the monthly data are aggregated for each state, returned with standard tabulations, and published at the year's end by each state. The BRFSS questionnaire was developed jointly by CDC's Behavioral Surveillance Branch (BSB) and the states. When combined with mortality and morbidity statistics, these data enable public health officials to establish policies and priorities and to initiate and assess health promotion strategies.
Curated

Census Tract Data, 1940: Elizabeth Mullen Bogue File (ICPSR 2930)

Released/updated on: 2006-01-12
Geographic coverage: Atlantic City, Milwaukee, Oklahoma City, Akron, Detroit, Indiana, Berkeley, Cincinnati, Austin, Oakland, Cambridge, New York City, Columbus (Ohio), Syracuse, Memphis, Buffalo, Boston, Pittsburgh, Camden, Providence, Seattle, Savannah, Macon, Kentucky, Yonkers, Clifton, Nashville, California, Kansas, Pennsylvania, Iowa, Elizabeth, New Haven, Illinois, Texas, Connecticut, Portland (Oregon), Georgia, Virginia, Maryland, Indianapolis, Richmond, Oregon, Duluth, Flint, United States, Oklahoma, Tennessee, Kansas City (Kansas), Louisville, Alabama, Cleveland, Washington, Dayton, Superior, Minneapolis, Atlanta, Pawtucket, Massachusetts, Colorado, Missouri, New Orleans, Denver, Dallas, St. Louis, Wisconsin, Des Moines, Augusta, District of Columbia, Rhode Island, Chicago, St. Paul, Rochester (New York), Passaic, Minnesota, New York (state), Birmingham, New Jersey, Michigan, San Francisco, Baltimore, Paterson, Jersey City, Long Beach, Ohio, Los Angeles, Toledo, Hartford, Trenton, Philadelphia, Houston
The 1940 Census Tract files were originally created by keypunching the data from the printed publications prepared by the Bureau of the Census. The work was done under the direction of Dr. Donald Bogue, whose wife, Elizabeth Mullen Bogue, completed much of the data work. Subsequently, the punchcards were converted to data files and transferred to the National Archive and Records Administration (NARA). ICPSR received copies of these files from NARA and converted the binary block length records to ASCII format.
Curated

Census Tract Data, 1950: Elizabeth Mullen Bogue File (ICPSR 2931)

Released/updated on: 2006-01-12
Geographic coverage: North Carolina, Milwaukee, Indiana, Kalamazoo, Berkeley, Fort Worth, Cincinnati, Austin, Spokane, San Jose, San Diego, Columbus (Ohio), Syracuse, Springfield (Massachusetts), Boston, Providence, Seattle, Kentucky, Nashville, California, Florida, New Haven, Illinois, Connecticut, Georgia, Virginia, Maryland, Norfolk, Duluth, Flint, United States, Oklahoma, Kansas City (Kansas), Louisville, Washington, Rome (New York), Wichita, Pawtucket, Massachusetts, Missouri, New Orleans, Denver, Dallas, St. Louis, Wisconsin, Augusta, Rochester (New York), Passaic, Chicopee, Birmingham, Michigan, Baltimore, Paterson, Louisiana, Toledo, Philadelphia, Oklahoma City, Akron, Greensboro, Detroit, Utica, Bridgeport, Memphis, Buffalo, Pittsburgh, Chattanooga, Sacramento, Clifton, Kansas, Pennsylvania, Texas, Portland (Oregon), Durham, Portsmouth, Indianapolis, Richmond, Oregon, Holyoke, Tennessee, Alabama, Cleveland, Dayton, Nebraska, Superior, Omaha, Tacoma, Colorado, District of Columbia, Rhode Island, Chicago, Minnesota, New York (state), New Jersey, Miami, Ohio, Hartford, Trenton, Houston
The 1950 Census Tract files were originally created by keypunching the data from the printed publications prepared by the Bureau of the Census. The work was done under the direction of Dr. Donald Bogue, whose wife, Elizabeth Mullen Bogue, completed much of the data work. Subsequently, the punchcards were converted to data files and transferred to the National Archive and Records Administration (NARA). ICPSR received copies of these files from NARA and converted the binary block-length records to ASCII format.
Curated

Census Tract Data, 1960: Elizabeth Mullen Bogue File (ICPSR 2932)

Released/updated on: 2006-01-12
Geographic coverage: Milwaukee, Indiana, Kalamazoo, Cincinnati, Austin, Spokane, San Jose, Syracuse, Springfield (Massachusetts), Providence, Seattle, St. Petersburg, Bethlehem, Nashville, California, Laredo, Fresno, Beaumont, Texarkana, Illinois, Newark, Georgia, Little Rock, Maryland, Norfolk, Oklahoma, Louisville, Arkansas, Washington, Albany (New York), Fall River, Pawtucket, Missouri, Winston-Salem, Davenport, Scranton, Dallas, Wisconsin, Nevada, Des Moines, Schenectady, Muskegon, Lawrence, St. Paul, Hawaii, Rochester (New York), Sioux City, Birmingham, Michigan, Baltimore, Paterson, New Mexico, Orlando, Canton, Philadelphia, Steubenville, Atlantic City, Akron, Topeka, Greensboro, Detroit, Charlotte, High Point, Erie, Waterloo, Bakersfield, Odessa, Abilene, Worchester, Jacksonville, Buffalo, Chattanooga, Stamford, Sacramento, Baton Rouge, Clifton, Kansas, Pennsylvania, Iowa, Texas, Fort Wayne, Indianapolis, Richmond, Holyoke, Newport News, Alabama, Nebraska, Shreveport, Superior, Omaha, Texas City, West Virginia, Elyria, Minneapolis, Youngstown, Columbia (South Carolina), Colorado, Honolulu, Phoenix, Portland (Maine), Gary, District of Columbia, Wilkes-Barre, Lancaster, Monroe, Minnesota, New Jersey, Miami, Brockton, San Francisco, Charleston (South Carolina), Lowell, Ohio, South Bend, Waco, North Carolina, Johnstown, Fort Worth, San Diego, Lincoln, Arizona, Springfield (Ohio), Boston, San Bernardino, Savannah, Macon, Montgomery, Kentucky, Florida, Hampton, Delaware, Troy, New Haven, Connecticut, Rockford, Virginia, Duluth, Flint, United States, Grand Rapids, South Carolina, Muncie, Rome (New York), Wichita, New Britain, Massachusetts, New Orleans, Denver, Salt Lake City, Harrisburg, St. Louis, Saginaw, Lubbock, Corpus Christi, Augusta, San Angelo, Allentown, Raleigh, San Antonio, Passaic, Chicopee, Pittsfield, Mobile, Gadsden, Louisiana, Toledo, Colorado Springs, Evansville, Oklahoma City, Tucson, Albuquerque, Columbus (Georgia), Utica, Tyler, Lexington, Bridgeport, Wichita Falls, Peoria, Memphis, Ogden, Pittsburgh, El Paso, Pueblo, Greenville, Haverhill, Lansing, Tulsa, Green Bay, Lorain, Hazleton, Tampa, Durham, Portsmouth, Oregon, Madison, Jackson (Michigan), York, Ann Arbor, Tennessee, Maine, Weirton, Altoona, Cleveland, Dayton, Decatur, Tacoma, Atlanta, Lima, Hamilton, Fort Smith, Middletown, Wilmington (Delaware), Rhode Island, Chicago, Waterbury, Kansas City (Missouri), New York (state), Wheeling, Santa Barbara, Galveston, Reading, Jersey City, Springfield (Missouri), Norwalk, Long Beach, New Hampshire, Easton, Manchester, Binghamton, Los Angeles, Hartford, Trenton, Stockton, Houston, New Bedford
The 1960 Census Tract files were originally created by keypunching the data from the printed publications prepared by the Bureau of the Census. The work was done under the direction of Dr. Donald Bogue, whose wife, Elizabeth Mullen Bogue, completed much of the data work. Subsequently, the punchcards were converted to data files and transferred to the National Archive and Records Administration (NARA). ICPSR received copies of these files from NARA and converted the binary block-length records to ASCII format.
Curated

Census Tract Data, 1970: Elizabeth Mullen Bogue File (ICPSR 2933)

Released/updated on: 2006-01-12
Geographic coverage: Milwaukee, Biloxi, Indiana, Kalamazoo, Austin, Spokane, Lewiston, Columbus (Ohio), Syracuse, Colonial Heights, Racine, Kenosha, Bryan, Danbury, Providence, Bethlehem, Nashville, Laredo, Knoxville, Mississippi, Beaumont, Midland, Texarkana, Illinois, Denison, Georgia, Little Rock, Maryland, Idaho, Port Arthur, Oklahoma, Arkansas, Washington, Albany (New York), Pawtucket, Bay City, Missouri, Winston-Salem, Scranton, Dallas, Wisconsin, Sioux Falls, Nevada, Des Moines, Muskegon, Lawrence, Bloomington, Hawaii, Normal, Michigan, Baltimore, New Mexico, Orlando, Lacrosse, Canton, Rochester (Minnesota), Atlantic City, Akron, Topeka, Greensboro, Charlotte, High Point, Harlingen, Erie, Waterloo, Charleston (West Virginia), Odessa, Abilene, Bristol, Worchester, Terre Haute, Provo, Jacksonville, Buffalo, Chattanooga, Baton Rouge, Oshkosh, Kansas, Great Falls, Pennsylvania, Iowa, Texas, Fort Wayne, Indianapolis, Richmond, Newport News, St. Joseph, Lafayette (Indiana), Lynchburg, Roanoke, Columbia (Missouri), Nebraska, Shreveport, Superior, Texas City, Warren, West Virginia, Amarillo, Youngstown, Columbia (South Carolina), Colorado, Honolulu, Phoenix, Cedar Rapids, Portland (Maine), District of Columbia, Fayetteville, Boise City, Wilkes-Barre, Salem (Oregon), South Dakota, Lancaster, Monroe, Minnesota, New Jersey, Brockton, Charleston (South Carolina), Lowell, Ohio, South Bend, Waco, North Carolina, Johnstown, Fort Worth, Orange, Utah, San Benito, Lincoln, Arizona, Las Vegas, Springfield (Ohio), Montana, Savannah, Macon, Kentucky, Florida, Hampton, Delaware, Gainesville, Connecticut, Rockford, Virginia, Gulfport, Duluth, Flint, United States, Grand Rapids, Kansas City (Kansas), South Carolina, Muncie, Rome (New York), Tallahassee, Wichita, Nashua, New Britain, Massachusetts, New Orleans, Denver, Salt Lake City, Harrisburg, St. Louis, Saginaw, Lubbock, Corpus Christi, Augusta, San Angelo, Allentown, Raleigh, San Antonio, Springfield (Illinois), Pittsfield, Reno, Louisiana, Toledo, Colorado Springs, Pensacola, Leominster, Albuquerque, Brownsville, Champaign-Urbana, College Station, Utica, Tyler, Lexington, Bridgeport, Billings, Petersburg, Peoria, Memphis, Ogden, Pittsburgh, El Paso, Pueblo, Greenville, Auburn, Haverhill, Lansing, Meriden, Lawton, Tulsa, Green Bay, Pine Bluff, West Palm Beach, Hazleton, Eugene, Tampa, Durham, Hollywood (Florida), Oregon, Madison, Mansfield, Jackson (Michigan), York, Ann Arbor, Tennessee, Maine, Altoona, Cleveland, Dayton, Orem, Decatur, Tacoma, Atlanta, Lima, Hamilton, Fort Smith, Middletown, Sherman, Wilmington (Delaware), Rhode Island, Fitchburg, Fort Lauderdale, Kansas City (Missouri), New York (state), Anderson, Galveston, Lake Charles, Reading, Springfield (Missouri), New Hampshire, Easton, Manchester, Hartford, Trenton, Asheville, Houston, Appleton
The 1970 Census Tract files were originally created by keypunching the data from the printed publications prepared by the Bureau of the Census. The work was done under the direction of Dr. Donald Bogue, whose wife, Elizabeth Mullen Bogue, completed much of the data work. Subsequently, the punchcards were converted to data files and transferred to the National Archive and Records Administration (NARA). ICPSR received copies of these files from NARA and converted the binary block-length records to ASCII format.
Curated

Great Plains Population and Environment Data: Agricultural Data, 1870-1997 [United States] (ICPSR 4254)

Released/updated on: 2005-06-22
Geographic coverage: Montana, United States, Wyoming, Oklahoma, South Dakota, Minnesota, Kansas, Nebraska, Iowa, New Mexico, Texas, Colorado, North Dakota
Time period: 1870-01-01--1997-01-01
The data in this series of studies were assembled by an interdisciplinary research team led by Myron Gutmann of the University of Michigan between 1995 and 2004, as part of a research project funded by the National Institute of Child Health and Human Development (Grant Number R01HD033554 to the University of Michigan). The goal of the project was to amass information about approximately 500 counties in 12 states of the Great Plains of the United States, and then to analyze those data in order to understand the relationships between population and environment that existed between the years of about 1870 and 2000. The data distributed here are all data about counties. They fall into four broad categories: about the counties, about agriculture, about demographic and social conditions, and about the environment. The information about counties (name, area, identification code, and whether the project classified the county as part of the Great Plains in a given year) is embedded in each of the other data files, so that there will be three series of data (agriculture, demographic and social conditions, and environment), containing individual data files for each year for which data are available. The United States Census of Agriculture has been conducted since 1850 on a regular schedule that was decennial until 1920, and more frequently thereafter (every five years from 1925 to 1950, then in 1954, 1959, 1964, 1978, and every five years since 1982). The agricultural data included in this collection consist of a single data file for each agricultural census year between 1870 and 1997 that includes selected material compiled as part of the United States Agricultural Census. The county-level agricultural data produced by the United States government as part of the census constitute a consistent series of measures of changing agriculture and land use.
Curated

Great Plains Population and Environment Data: Social and Demographic Data, 1870-2000 [United States] (ICPSR 4296)

Released/updated on: 2007-02-07
Geographic coverage: Montana, United States, Wyoming, New Mexico, Oklahoma, Texas, Colorado, South Dakota, Kansas, North Dakota, Nebraska
Time period: 1870-01-01--2000-01-01

The social and demographic data included in this collection consist of a single data file for each decennial year between 1870 and 2000, covering 10 of the 12 Great Plains states. Information on a variety of social and demographic topics was gathered to historically characterize populations living in counties within the United States Great Plains, in terms of: (1) urban, rural, and total population, (2) vital statistics, (3) net migration, (4) age and sex, (5) nativity and ancestry, (6) education and literacy, (7) religion, (8) industry, and (9) housing and other characteristics. These data include selected material compiled as part of the United States population census. The United States Census of Population and Housing has been conducted since 1790 on a regular schedule that is decennial. The county-level social and demographic data produced by the United States government as a result constitute a consistent series of measures capturing changes in the United States population's size, composition, and other characteristics. A subset of the variables available from the short and long-form survey questionnaires of the United States Census of Population and Housing (as compiled for counties) were extracted from previously existing digital files. Besides the decennial census of the population, county-level data were drawn from an assortment of existing digital files as well as sources that were manually digitized. Other data include compilations of county-level information gathered from various federal agencies and private organizations as well as the agriculture and economic censuses. Supplementing these compilations are manually digitized consumer market data, religious data, and vital statistics, including information about births, deaths, marriage, and divorce.

Curated
Partially restricted
Simple Crosstabs

Language Development of Non-verbal Children Age 3 Years through 7 Years, 2007 to 2012 [Kansas City Metro Area] (ICPSR 36472)

Released/updated on: 2016-10-25
Geographic coverage: Kansas City (Kansas), Kansas
Time period: 2007-01-01--2012-01-01

The Language Development of Non-verbal Children Age 3 Years through 7 Years in the Kansas Metro Area is one of the three projects in the Communication of People with MR, 2006 to 2012 Series, which focuses on identifying participant variables that predict success in increasing communication skills of individual with intellectual disabilities. Data for Dataset 1 of this study were collected to illustrate how acquisition of symbolic communication using Voice Output Communication Aid (VOCA) affects the development of successful communication exchanges. For the data collection of Dataset 1, children were recruited by contacting school districts in and near the Kansas City metropolitan area, specifically, in Topeka, Kansas, and Wichita, Kansas. Teachers and speech-language pathologists were asked to nominate any children meeting specific criteria. The 93 children who were enrolled were administered the Mullen Scales of Early Learning and the Preschool Language Scale. A structured play assessment was also administered.

Subsequently, data for Dataset 2 was collected to analyze and compare 19 Spanish-speaking children to the original sample. Both data files contain the results of Complexity of Communication Scale, a measure developed by the Communication of People with MR project.

Curated

Mortality Detail and Multiple Cause of Death, 1981 (ICPSR 3874)

Released/updated on: 2007-07-12
Geographic coverage: North Carolina, Indiana, Wyoming, Utah, Guam, Virgin Islands of the United States, Arizona, Montana, Kentucky, California, Kansas, Florida, Delaware, Pennsylvania, Mississippi, Iowa, Illinois, Texas, Connecticut, Georgia, Virginia, Maryland, Idaho, Oregon, Vermont, Puerto Rico, United States, Oklahoma, Tennessee, Maine, American Samoa, Alabama, Arkansas, Washington, South Carolina, Nebraska, West Virginia, Massachusetts, Colorado, Missouri, Alaska, North Dakota, Wisconsin, Nevada, New York, District of Columbia, Rhode Island, South Dakota, Hawaii, Minnesota, New Jersey, Michigan, New Mexico, New Hampshire, Louisiana, Ohio
This data collection presents information about the causes of deaths occurring during 1981. Part 1, the Mortality Detail file, describes every death or fetal death registered in the United States for 1981. Part 2, Multiple Cause of Death, provides information about the causes of all recorded deaths occurring in the United States, Puerto Rico, the Virgin Islands, Guam, and American Samoa during 1981. Data are provided concerning underlying causes of death, multiple conditions that caused the death, place of death, residence of the deceased (e.g., region, division, state, county), whether an autopsy was performed, and the month and day of death. In addition, data are supplied on the sex, race, age, marital status, education, usual occupation, and origin or descent of the deceased. The multiple cause of death fields were coded from the MANUAL OF THE INTERNATIONAL STATISTICAL CLASSIFICATION OF DISEASES, INJURIES, AND CAUSE-OF-DEATH, NINTH REVISION (ICD-9), VOLUMES 1 AND 2.
Curated
Partially restricted

Mother and Infant Home Visiting Program Evaluation (MIHOPE), United States, 2012-2019 (ICPSR 37848)

Released/updated on: 2023-12-06
Geographic coverage: United States, California, Kansas, New Jersey, Washington, South Carolina, Michigan, Pennsylvania, Iowa, Illinois, Georgia, Wisconsin, Nevada
Time period: 2012-01-01--2019-01-01

In 2010, the United States Congress authorized the Maternal, Infant, and Early Childhood Home Visiting (MIECHV) program, which started a major expansion of evidence-based home visiting programs for families living in at-risk communities. MIECHV is administered by the Health Resources and Services Administration (HRSA) in collaboration with the Administration for Children and Families (ACF) within the U.S. Department of Health and Human Services (HHS). The authorizing legislation required an evaluation of the program, which became the Mother and Infant Home Visiting Program Evaluation (MIHOPE). The evaluation is being conducted for HHS by MDRC with James Bell Associates, Johns Hopkins University, Mathematica, the University of Georgia, and Columbia University.

MIHOPE was designed to learn whether families benefit from MIECHV-funded early childhood home visiting programs, and if so, how. The study included the four evidence-based models that 10 or more states chose in their initial MIECHV plans in fiscal year 2010-2011: Early Head Start - Home-based option, Healthy Families America, Nurse-Family Partnership, and Parents as Teachers. MIHOPE was the first study to include all of these four evidence-based models.

To provide rigorous evidence on the MIECHV-funded programs' effects, the study randomly assigned more than 4,200 families to receive either MIECHV-funded home visiting or information on community services. As is the standard method in studies that use random assignment, the primary analytical strategy in MIHOPE was to compare the outcomes of the entire program group with those of the entire control group.

As per the authorizing legislation, the study measured early effects on family and child outcomes in the areas listed below, with the exception of school readiness and academic achievement (which were not included at this point because children were too young to measure those outcomes):

  • Prenatal, maternal, and newborn health
  • Child health and development, including child maltreatment
  • Parenting skills
  • School readiness and child academic achievement
  • Crime and domestic violence
  • Family economic self-sufficiency
  • Referrals and service coordination

Videos and Video Metadata: Two sets of videos are included in the MIHOPE restricted access files. They include:

  • Mother-home visitor interactions at 387 home visits and
  • Interactions between child and mother using the "Three Bags" and "Clean-Up" tasks with 2,832 families.

The mother-home visitor interaction videos were recorded only for treatment group families at two points in time: the first was, on average, about eight weeks after the family's first home visit and the second was about eight months after the family's first home visit. Overall, 264 families are included in the mother-home visitor interaction videos in total, with 123 of these families recorded at both points in time.

The mother-child interaction videos, during which the child and mother play with toys contained in three bags and place the toys back in the bags (the "Three Bags" and "Clean-Up" tasks), were recorded when the 15-month in-home assessments were conducted and are available for 2,832 families in the treatment and control groups.

The videos are only linkable to a few pieces of metadata (home visiting model, video ID, treatment status, and variables indicating whether the family appears in the home visit videos, the three-bag task videos, or both). The videos in the restricted access data are not linkable to any other data included in the restricted access files. Additionally, the videos may only be viewed at the Inter-university Consortium for Political and Social Research's on-site Physical Data Enclave in Ann Arbor, Michigan.

Curated
Partially restricted

Mother and Infant Home Visiting Program Evaluation-Strong Start (MIHOPE-Strong Start), United States, 2012-2017 (ICPSR 37847)

Released/updated on: 2021-12-07
Geographic coverage: North Carolina, Indiana, Tennessee, California, Kansas, New York (state), New Jersey, Washington, South Carolina, Michigan, Pennsylvania, Iowa, Illinois, Massachusetts, Georgia, Wisconsin, Nevada
Time period: 2011-01-01--2017-05-01

Mother and Infant Home Visiting Program Evaluation-Strong Start (MIHOPE-Strong Start) was a large-scale evaluation that rigorously tested the effectiveness of evidence-based home visiting in improving birth and health outcomes during pregnancy and in the year after birth. Local programs included in the study's analysis implemented one of two evidence-based models: Healthy Families America (HFA) or Nurse-Family Partnership (NFP). These models were chosen because earlier evaluations found some evidence of their having positive impacts on birth outcomes.

The Office of Planning, Research, and Evaluation (OPRE) of the Administration for Children and Families (ACF) partnered with the Center for Medicare and Medicaid Innovation (CMMI) of the Centers for Medicare and Medicaid Services (CMS) and the Maternal and Child Health Bureau (MCHB) of the Health Resources and Services Administration (HRSA) to sponsor the study. MIHOPE-Strong Start was part of the CMMI's Strong Start for Mothers and Newborns Initiative, which evaluated whether enhanced, nonmedical prenatal interventions, when provided in addition to routine medical care, have the potential to improve birth outcomes and reduce health care costs for women enrolled in Medicaid or the Children's Health Insurance Program (CHIP). Under contract with OPRE, MDRC conducted MIHOPE-Strong Start in collaboration with James Bell Associates, Johns Hopkins University, Mathematica, and New York University.

The analysis for MIHOPE-Strong Start included 2,899 women and 66 local programs (37 HFA and 29 NFP programs) operating across 17 states: California, Georgia, Illinois, Indiana, Iowa, Kansas, Massachusetts, Michigan, Nevada, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Washington, and Wisconsin. Women were eligible for MIHOPE-Strong Start if they were pregnant and at least 8 weeks from their due date.

The MIHOPE-Strong Start analysis included a subset of families and local programs that were recruited for MIHOPE, the national evaluation of the Maternal, Infant, and Early Childhood Home Visiting (MIECHV) program. Specifically, the MIHOPE-Strong Start impact analysis included information on 46 local home visiting programs and 1,845 families that were initially recruited for MIHOPE but met the MIHOPE-Strong Start eligibility criteria. An important distinction between MIHOPE-Strong Start and MIHOPE is that MIHOPE included only programs receiving MIECHV funding, while MIHOPE-Strong Start included both MIECHV and non-MIECHV-funded programs.

In both studies, families were randomly assigned either to an evidence-based home visiting program or to a control group who was given information on other services available in the community. The random assignment design was intended to create program and control groups that were similar when women entered the study, so that systematic differences in the outcomes of interest observed between the two groups can be attributed to the home visiting services rather than to the preexisting characteristics of the women.

Curated

Natality Detail File, 2006 [United States] (ICPSR 24941)

Released/updated on: 2009-08-19
Geographic coverage: North Carolina, Indiana, Wyoming, Northern Mariana Islands, Utah, Guam, Virgin Islands of the United States, Arizona, Montana, Kentucky, California, Kansas, Florida, Delaware, Pennsylvania, Mississippi, Iowa, Illinois, Texas, Connecticut, Georgia, Virginia, Maryland, Idaho, Oregon, Vermont, Puerto Rico, United States, Oklahoma, Tennessee, Maine, American Samoa, Alabama, Arkansas, Washington, South Carolina, Nebraska, West Virginia, Massachusetts, Colorado, Missouri, Alaska, North Dakota, Wisconsin, Nevada, Rhode Island, Hawaii, Minnesota, New York (state), New Jersey, Michigan, New Mexico, New Hampshire, Louisiana, Ohio
This collection provides information on live births in the United States during calendar year 2006. The natality data in these files are a component of the vital statistics collection effort maintained by the federal government. Birth data is limited to births occurring in the United States to United States residents and nonresidents. Births occurring to United States citizens outside of the United States are not included in this data collection. Part 1 contains data on births occurring within the United States, while Part 2 contains data on births occurring in the United States territories of Puerto Rico, the Virgin Islands, Guam, American Samoa, and the Commonwealth of the Northern Mariana Islands. Beginning in 2005, the United States file no longer includes geographic detail (e.g., mother's state of residence). Geographic variables for the United States Territories file include the territory and county in which the birth occurred and in which the mother resided. Other variables describe the place of delivery, who was in attendance, and medical and health data such as the method of delivery, prenatal care, tobacco and alcohol use during pregnancy, pregnancy history, medical risk factors, and infant health characteristics. Birth and fertility rates and other statistics related to this study can be found in the National Vital Statistics Report in the codebook documentation. Demographic variables include the child's sex and month and year of birth, the parent's age, race, and ethnicity, as well as the mother's marital status, education level, and residency status.
Curated
Partially restricted

NICHD Study of Early Child Care and Youth Development: Phase I, 1991-1994 [United States] (ICPSR 21940)

Released/updated on: 2018-06-25
Geographic coverage: North Carolina, United States, Massachusetts, California, Kansas, Virginia, Arkansas, Wisconsin, Washington, Pennsylvania
Time period: 1991-01-01--1994-01-01

The overall purpose of this study was to examine the influence of variations in early childcare histories on the psychological development of infants and toddlers from a variety of family backgrounds. This general objective was addressed through a prospective, longitudinal study of the experiences of 1,364 children and their families, which took into account the complex interactions among child characteristics and those of the human and physical environments in which the children were reared.

Research Goals

The specific research aims were as follows:

  • Examining the relationship between infants' childcare arrangements (defined in terms of hours, type, quality, and stability of care and the age at which the child entered care) and children's concurrent and long-term development. Specifically, the study investigated the association between children's experiences in childcare and their social, emotional, language, and cognitive development. The social-emotional assessments included measures of attachment, independence, compliance, behavior problems, prosocial and antisocial behavior, and general competence in interacting with peers. Cognitive variables include general developmental level and problem solving skills. Language assessments incorporated measures of children's expressive and receptive communicative competence.

  • Examining whether the social ecology of the home moderates the effects of childcare, i.e., whether children from different home environments are differentially affected by similar childcare experiences. The study examined the moderating effects of parents' values and attitudes, psychological adjustment and mental health, stress and social support, child-rearing practices, time use, interactions with the child, the marital relationship, and family demographics.

  • Examining whether individual differences among children moderate the effects of infant care on child development. The study examined the moderating effects of such child characteristics as age, sex, health, birth order, and temperament.

  • Identify demographic and family characteristics associated with families' childcare decisions. The study examined whether specific childcare arrangements are related to the parents' social class, marital status, psychological adjustment and personality, child-rearing values and attitudes, parenting practices, stress, social support, marital relationship, and the availability of childcare in the community.

  • Provide a natural history of infant care in the 1990s, and help establish a baseline of data pertaining to the kinds of care being used by families. Whereas other national databases, such as those provided by the United States Census Bureau, provide static estimates of the number of children in different types of childcare, this network study supplements that knowledge with longitudinal data on successive enrollments into day care at various ages, patterns of arrangements used concurrently and over time, and the stability of arrangements during the first three years of life. One of the most valuable aspects of the collaborative study is the opportunity it provides to obtain a more complete and accurate picture of patterns of infant care used by families today. Census surveys use only gross categories of care (e.g., center vs. in-home). In this study, more fine-grained information regarding the types of centers and home-care facilities was gathered.

  • Examine the consequences for families of maternal employment and childcare choices. Family relationships, parental mental health, family stress, and so on, are not just inputs to child development or moderators of childcare effects, they are also outcomes. High-quality childcare may alleviate family stress and enhance parental adjustment. Low-quality childcare may add to the stress parents experience. Although the main focus in the study was on the effect of childcare on the child, the study also examined the effect of childcare on the family.

  • Identify demographic characteristics of childcare associated with childcare quality. Of interest to policy makers is another aspect of the study, the investigation of those regulatory characteristics that predict care of higher quality. These characteristics included the level and type of caregiver training, the size of the childcare group, the auspices of the childcare program (public/private, profit/nonprofit, independent/chain, employer-sponsored/church-based), whether the facility was licensed or unlicensed, the level of payment and fees, and whether the caregiver was a relative of the family.

Data File Organization

309 data files were compiled for this study and are organized into 3 main groups:

  1. Analytical Data Sets (ADS) -- The raw data were examined and composites defined by small groups of individual principal investigators according to the demographic, family, childcare, and child outcome content of the data. The psychometric and distributional qualities of the variables, along with site differences, were examined. A set of variables that were psychometrically and distributionally acceptable to be used in analytic analyses was designed to test the study hypotheses. These data files comprise Parts 1-42 of the study data material.

  2. Supplemental Data Sets -- New and revised analysis variables as well as across-time mean scores and primary composites were produced as a supplement to the original Analytical Datasets. These data files comprise Parts 43-55 of the study data material.

  3. Raw Data Sets -- The raw data were made available and comprise Parts 56-309 of the study data material.

Training Workshop

A three-day summer training workshop on the SECCYD was put on by NICHD at the Inter-University Consortium for Political and Social Research in Ann Arbor, Michigan in 2010. The binder from that workshop, which includes the Powerpoint slides used during presentations, are freely available to the public as part of the study documentation.

Curated
Partially restricted

NICHD Study of Early Child Care and Youth Development: Phase II, 1995-1999 [United States] (ICPSR 21941)

Released/updated on: 2018-06-25
Geographic coverage: North Carolina, United States, Massachusetts, California, Kansas, Virginia, Arkansas, Wisconsin, Washington, Pennsylvania
Time period: 1995-01-01--1999-01-01

The overall purpose of this study was to examine the influence of variations in early childcare histories on the psychological development of infants and toddlers from a variety of family backgrounds. This general objective was addressed through a prospective, longitudinal study of the experiences of 1,364 children and their families, which took into account the complex interactions among child characteristics and those of the human and physical environments in which the children were reared.

Research Goals

The specific research aims were as follows:

  • Examining the relationship between infants' childcare arrangements (defined in terms of hours, type, quality, and stability of care and the age at which the child entered care) and children's concurrent and long-term development. Specifically, the study investigated the association between children's experiences in childcare and their social, emotional, language, and cognitive development. The social-emotional assessments included measures of attachment, independence, compliance, behavior problems, prosocial and antisocial behavior, and general competence in interacting with peers. Cognitive variables include general developmental level and problem solving skills. Language assessments incorporated measures of children's expressive and receptive communicative competence.

  • Examining whether the social ecology of the home moderates the effects of childcare, i.e., whether children from different home environments are differentially affected by similar childcare experiences. The study examined the moderating effects of parents' values and attitudes, psychological adjustment and mental health, stress and social support, child-rearing practices, time use, interactions with the child, the marital relationship, and family demographics.

  • Examining whether individual differences among children moderate the effects of infant care on child development. The study examined the moderating effects of such child characteristics as age, sex, health, birth order, and temperament.

  • Identify demographic and family characteristics associated with families' childcare decisions. The study examined whether specific childcare arrangements are related to the parents' social class, marital status, psychological adjustment and personality, child-rearing values and attitudes, parenting practices, stress, social support, marital relationship, and the availability of childcare in the community.

  • Provide a natural history of infant care in the 1990s, and help establish a baseline of data pertaining to the kinds of care being used by families. Whereas other national databases, such as those provided by the United States Census Bureau, provide static estimates of the number of children in different types of childcare, this network study supplements that knowledge with longitudinal data on successive enrollments into day care at various ages, patterns of arrangements used concurrently and over time, and the stability of arrangements during the first three years of life. One of the most valuable aspects of the collaborative study is the opportunity it provides to obtain a more complete and accurate picture of patterns of infant care used by families today. Census surveys use only gross categories of care (e.g., center vs. in-home). In this study, more fine-grained information regarding the types of centers and home-care facilities was gathered.

  • Examine the consequences for families of maternal employment and childcare choices. Family relationships, parental mental health, family stress, and so on, are not just inputs to child development or moderators of childcare effects, they are also outcomes. High-quality childcare may alleviate family stress and enhance parental adjustment. Low-quality childcare may add to the stress parents experience. Although the main focus in the study was on the effect of childcare on the child, the study also examined the effect of childcare on the family.

  • Identify demographic characteristics of childcare associated with childcare quality. Of interest to policy makers is another aspect of the study, the investigation of those regulatory characteristics that predict care of higher quality. These characteristics included the level and type of caregiver training, the size of the childcare group, the auspices of the childcare program (public/private, profit/nonprofit, independent/chain, employer-sponsored/church-based), whether the facility was licensed or unlicensed, the level of payment and fees, and whether the caregiver was a relative of the family.

Data File Organization

193 data files were compiled for this study and are organized into 3 main groups:

  1. Analytical Data Sets (ADS) -- The raw data were examined and composites defined by small groups of individual principal investigators according to the demographic, family, childcare, and child outcome content of the data. The psychometric and distributional qualities of the variables along with site differences were examined. A set of variables that was psychometrically and distributionally acceptable to be used in analytic analyses was designed to test the study hypotheses. These data files comprise Parts 1-24 of the study data material.

  2. Supplemental Data Sets -- New and revised analysis variables as well as across-time mean scores and primary composites were produced as a supplement to the original Analytical Data Sets. These data files comprise Parts 25-27 of the study data material.

  3. Raw Data Sets -- The raw data were made available and comprise Parts 28-193 of the study data material.

Training Workshop

A three-day summer training workshop on the SECCYD was put on by NICHD at the Inter-University Consortium for Political and Social Research in Ann Arbor, Michigan in 2010. The binder from that workshop, which includes the Powerpoint slides used during presentations, are freely available to the public as part of the study documentation.

Curated
Partially restricted

NICHD Study of Early Child Care and Youth Development: Phase III, 2000-2004 [United States] (ICPSR 21942)

Released/updated on: 2018-06-25
Geographic coverage: North Carolina, United States, Massachusetts, California, Kansas, Virginia, Arkansas, Wisconsin, Washington, Pennsylvania
Time period: 2000-01-01--2004-01-01

The overall purpose of this study was to examine the influence of variations in early childcare histories on the psychological development of infants and toddlers from a variety of family backgrounds. This general objective was addressed through a prospective, longitudinal study of the experiences of 1,364 children and their families, which took into account the complex interactions among child characteristics and those of the human and physical environments in which the children were reared.

Research Goals

The specific research aims were as follows:

  • Examining the relationship between infants' childcare arrangements (defined in terms of hours, type, quality, and stability of care and the age at which the child entered care) and children's concurrent and long-term development. Specifically, the study investigated the association between children's experiences in childcare and their social, emotional, language, and cognitive development. The social-emotional assessments included measures of attachment, independence, compliance, behavior problems, prosocial and antisocial behavior, and general competence in interacting with peers. Cognitive variables include general developmental level and problem solving skills. Language assessments incorporated measures of children's expressive and receptive communicative competence.

  • Examining whether the social ecology of the home moderates the effects of childcare, i.e., whether children from different home environments are differentially affected by similar childcare experiences. The study examined the moderating effects of parents' values and attitudes, psychological adjustment and mental health, stress and social support, child-rearing practices, time use, interactions with the child, the marital relationship, and family demographics.

  • Examining whether individual differences among children moderate the effects of infant care on child development. The study examined the moderating effects of such child characteristics as age, sex, health, birth order, and temperament.

  • Identify demographic and family characteristics associated with families' childcare decisions. The study examined whether specific childcare arrangements are related to the parents' social class, marital status, psychological adjustment and personality, child-rearing values and attitudes, parenting practices, stress, social support, marital relationship, and the availability of childcare in the community.

  • Provide a natural history of infant care in the 1990s, and help establish a baseline of data pertaining to the kinds of care being used by families. Whereas other national databases, such as those provided by the United States Census Bureau, provide static estimates of the number of children in different types of childcare, this network study supplements that knowledge with longitudinal data on successive enrollments into day care at various ages, patterns of arrangements used concurrently and over time, and the stability of arrangements during the first three years of life. One of the most valuable aspects of the collaborative study is the opportunity it provides to obtain a more complete and accurate picture of patterns of infant care used by families today. Census surveys use only gross categories of care (e.g., center vs. in-home). In this study, more fine-grained information regarding the types of centers and home-care facilities was gathered.

  • Examine the consequences for families of maternal employment and childcare choices. Family relationships, parental mental health, family stress, and so on, are not just inputs to child development or moderators of childcare effects, they are also outcomes. High-quality childcare may alleviate family stress and enhance parental adjustment. Low-quality childcare may add to the stress parents experience. Although the main focus in the study was on the effect of childcare on the child, the study also examined the effect of childcare on the family.

  • Identify demographic characteristics of childcare associated with childcare quality. Of interest to policy makers is another aspect of the study, the investigation of those regulatory characteristics that predict care of higher quality. These characteristics included the level and type of caregiver training, the size of the childcare group, the auspices of the childcare program (public/private, profit/nonprofit, independent/chain, employer-sponsored/church-based), whether the facility was licensed or unlicensed, the level of payment and fees, and whether the caregiver was a relative of the family.

Data File Organization

504 data files were compiled for this study and are organized into 4 main groups:

  1. Analytical Data Sets (ADS) -- The raw data were examined and composites defined by small groups of individual principal investigators according to the demographic, family, childcare, and child outcome content of the data. The psychometric and distributional qualities of the variables along with site differences were examined. A set of variables that was psychometrically and distributionally acceptable to be used in analytic analyses was designed to test the study hypotheses. These data files comprise Parts 1-49 of the study data material.

  2. Supplemental Data Sets -- New and revised analysis variables as well as across-time mean scores and primary composites were produced as a supplement to the original Analytical Data Sets. These data files comprise Parts 50-55 of the study data material.

  3. Raw Census-Related Data Sets -- Files were produced using geocoded addresses for survey respondents to match block group level data from the 1990 and 2000 Censuses for investigators to create additional measures of interest from the geocoded addresses. These data files comprise Parts 56-58 of the study data material.

  4. Raw Data Sets -- The raw data were made available and comprise Parts 59-505 of the study data material.

Training Workshop

A three-day summer training workshop on the SECCYD was put on by NICHD at the Inter-University Consortium for Political and Social Research in Ann Arbor, Michigan in 2010. The binder from that workshop, which includes the Powerpoint slides used during presentations, are freely available to the public as part of the study documentation.

Curated
Partially restricted

NICHD Study of Early Child Care and Youth Development: Phase IV, 2005-2007 [United States] (ICPSR 22361)

Released/updated on: 2018-06-25
Geographic coverage: North Carolina, United States, Massachusetts, California, Kansas, Virginia, Arkansas, Wisconsin, Washington, Pennsylvania
Time period: 2005-01-01--2007-01-01

The overall purpose of this study was to examine the influence of variations in early childcare histories on the psychological development of infants and toddlers from a variety of family backgrounds. This general objective was addressed through a prospective, longitudinal study of the experiences of 1,364 children and their families, which took into account the complex interactions among child characteristics and those of the human and physical environments in which the children were reared.

Research Goals

The specific research aims were as follows:

  • Examining the relationship between infants' childcare arrangements (defined in terms of hours, type, quality, and stability of care and the age at which the child entered care) and children's concurrent and long-term development. Specifically, the study investigated the association between children's experiences in childcare and their social, emotional, language, and cognitive development. The social-emotional assessments included measures of attachment, independence, compliance, behavior problems, prosocial and antisocial behavior, and general competence in interacting with peers. Cognitive variables include general developmental level and problem solving skills. Language assessments incorporated measures of children's expressive and receptive communicative competence.

  • Examining whether the social ecology of the home moderates the effects of childcare, i.e., whether children from different home environments are differentially affected by similar childcare experiences. The study examined the moderating effects of parents' values and attitudes, psychological adjustment and mental health, stress and social support, child-rearing practices, time use, interactions with the child, the marital relationship, and family demographics.

  • Examining whether individual differences among children moderate the effects of infant care on child development. The study examined the moderating effects of such child characteristics as age, sex, health, birth order, and temperament.

  • Identify demographic and family characteristics associated with families' childcare decisions. The study examined whether specific childcare arrangements are related to the parents' social class, marital status, psychological adjustment and personality, child-rearing values and attitudes, parenting practices, stress, social support, marital relationship, and the availability of childcare in the community.

  • Provide a natural history of infant care in the 1990s, and help establish a baseline of data pertaining to the kinds of care being used by families. Whereas other national databases, such as those provided by the United States Census Bureau, provide static estimates of the number of children in different types of childcare, this network study supplements that knowledge with longitudinal data on successive enrollments into day care at various ages, patterns of arrangements used concurrently and over time, and the stability of arrangements during the first three years of life. One of the most valuable aspects of the collaborative study is the opportunity it provides to obtain a more complete and accurate picture of patterns of infant care used by families today. Census surveys use only gross categories of care (e.g., center vs. in-home). In this study, more fine-grained information regarding the types of centers and home-care facilities was gathered.

  • Examine the consequences for families of maternal employment and childcare choices. Family relationships, parental mental health, family stress, and so on, are not just inputs to child development or moderators of childcare effects, they are also outcomes. High-quality childcare may alleviate family stress and enhance parental adjustment. Low-quality childcare may add to the stress parents experience. Although the main focus in the study was on the effect of childcare on the child, the study also examined the effect of childcare on the family.

  • Identify demographic characteristics of childcare associated with childcare quality. Of interest to policy makers is another aspect of the study, the investigation of those regulatory characteristics that predict care of higher quality. These characteristics included the level and type of caregiver training, the size of the childcare group, the auspices of the childcare program (public/private, profit/nonprofit, independent/chain, employer-sponsored/church-based), whether the facility was licensed or unlicensed, the level of payment and fees, and whether the caregiver was a relative of the family.

Data File Organization

158 data files were compiled for this study and are organized into 4 main groups:

  1. Analytical Data Sets (ADS)-- The raw data were examined and composites defined by small groups of individual principal investigators according to the demographic, family, childcare, and child outcome content of the data. The psychometric and distributional qualities of the variables along with site differences were examined. A set of variables that was psychometrically and distributionally acceptable to be used in analytic analyses was designed to test the study hypotheses. These data files comprise Parts 1-19 of the study data material.

  2. Supplemental Data Sets -- New and revised analysis variables as well as across-time mean scores and primary composites were produced as supplements to the original Analytical Data Sets. These data files are Parts 20-26 of the study data material.

  3. Raw Census-Related Data Sets -- Files were produced using geocoded addresses for survey respondents to match block group-level data from the 1990 and 2000 Censuses for investigators to create additional measures of interest from the geocoded addresses. These data files comprise Parts 27-30 of the study data material.

  4. Raw Data Sets -- The raw data were made available and comprise Parts 31-158 of the study data material.

Included in this phase of the study are the output of several third-party software programs that were used during Phases II, III and IV to collect data for specific tasks or activities. These programs produced one output data file per subject, which were combined to produce some of the raw data files for those studies. The original program output is included as expanded documentation in this phase of the study.

Training Workshop

A three-day summer training workshop on the SECCYD was put on by NICHD at the Inter-University Consortium for Political and Social Research in Ann Arbor, Michigan in 2010. The binder from that workshop, which includes the Powerpoint slides used during presentations, are freely available to the public as part of the study documentation.

Curated

Population Redistribution and Economic Growth in the United States: Population Data, 1870-1960 (ICPSR 7753)

Released/updated on: 2011-08-31
Geographic coverage: North Carolina, Indiana, Wyoming, Utah, Arizona, Montana, Kentucky, California, Kansas, Florida, Delaware, Pennsylvania, Iowa, Illinois, Texas, Connecticut, Georgia, Virginia, Maryland, Idaho, Oregon, Vermont, United States, Oklahoma, Tennessee, Maine, Alabama, Arkansas, Washington, South Carolina, Nebraska, West Virginia, Massachusetts, Colorado, Missouri, Alaska, North Dakota, Wisconsin, Nevada, New York, Rhode Island, South Dakota, Hawaii, Minnesota, New Jersey, Michigan, New Mexico, New Hampshire, Louisiana, Ohio
Time period: 1870-01-01--1960-01-01
Detailed demographic characteristics of the population of the United States from 1870 to 1960 are contained in this data collection. Included are state-level estimates of the nation's inhabitants by sex, race, nativity and age, as well as intercensal migration calculated by age, race, and sex. The basic information recorded in this collection was obtained from the decennial censuses of the United States or estimated by the principal investigators from material collected by the decennial censuses. The collection is comprised of thirteen separate data files. Each contains information for every state in the nation. All parts have a rectangular file structure with one record per case, with the number of cases ranging from 50 to 2,891, and the record length from 203 to 2,930 per part. Standard geographic identifying codes used in all of the files permit the combination of two or more of the files as research interests dictate.
Curated
Partially restricted
Simple Crosstabs

Requests for Assistance with Adaptive Switches from Individuals with Severe Communication Impairments, 2007 to 2012 [California, Kansas, and Washington] (ICPSR 36515)

Released/updated on: 2016-10-25
Geographic coverage: California, Kansas, Washington
Time period: 2007-01-01--2012-01-01

The Requests for Assistance with Adaptive Switches from Individuals with Severe Communication Impairments study is one of the three projects in the Communication of People with MR, 2006 to 2012 Series, which focuses on identifying participant variables that predict success in increasing communication skills of individual with intellectual disabilities. The study data were collected to show how children and adults with profound multiple impairments can learn to request assistance with adaptive switches and to on examine the change from pre-intentional to intentional symbolic communication.

The study examined 77 respondents, ages 2 through 71, by administering three assessments: the Communication Complexity Scale (CCS), the Mullen Scales of Early Learning and a functional vision assessment. The CCS was administered to 68 respondents on up to three occasions. The first occasion of administration was to participants who were pre-intentional communicators. The CCS was administered on a second occasion to participants when they were identified as being on the cusp between pre-intentional and intentional communication. The third and final occasion of administration occurred when participants were identified as "learners" and could express preferences using switches and other means.

The Mullen Scales were administered to 22 of the participants. Of the 77 participants initially selected for the study, 7 did not complete either scale. Vision impairment was identified in 68 respondents, 28 who had no functional use and 41 who had some functional use of their vision.

Curated
Partially restricted

Supporting Healthy Marriage Evaluation: Eight Sites within the United States, 2003-2013 (ICPSR 34420)

Released/updated on: 2014-12-19
Geographic coverage: United States, Oklahoma, Texas, Kansas, Florida, New York (state), Washington, Pennsylvania
Time period: 2003-01-01--2014-01-01

The Supporting Healthy Marriage (SHM) evaluation was launched in 2003 to develop, to implement, and to test the effectiveness of a program aimed at strengthening low-income couples' marriages as one approach for supporting stable and nurturing family environments and parents' and children's well-being. The evaluation was led by MDRC and was sponsored by the Office of Planning, Research and Evaluation in the Administration for Children and Families, United States Department of Health and Human Services.The SHM program was a voluntary yearlong marriage education program for low-income married couples who had children or were expecting a child. The program provided a series of group workshops based on structured curricula designed to enhance couples' relationships; supplemental activities to build on workshop themes; and family support services to address participation barriers, connect families with other services, and reinforce curricular themes.

The study sample consists of 6,298 couples (12,596 adult sample members) who were expecting a child or had a child under 18 years old at the time of study entry. The sample consists primarily of low-to-modest income, married couples with diverse racial and ethnic backgrounds. In each family, one child was randomly selected to be the focus of any child-related measures gathered in the data collection activities. These children ranged from pre-birth to 14 years old at the time of enrollment in the study. Follow-up interviews were conducted at 12 and 30 months after baseline data collection. More detail is provided in the study documentation.