Individual-level adoption small dataset download file .txt






















It is important to understand that any requests for language modification can create significant delays in fully executing the contract and access to the data. What methods of payment are acceptable to cover the administrative fee?

My institution will not pay for the restricted data without an invoice. How may a request for invoice be made? Our Business Office will provide an invoice upon request. What is the purpose of the administrative fee? The administrative fee covers contract administration expenditures, consulting time, charges for use of MiCDA enclave, among other expenses. Can the administrative fee for using the restricted use data be waived or the amount negotiated? The administrative fee is not negotiable because the PSID is federally funded and is required to provide the same services and keep the same regulations and guidelines for all contract holders.

As a researcher, what are my responsibilities during the contract period? During the three year period, the PSID will send the primary contract holder a Request for Extension every days which requests updated contact information and must be returned to the PSID in order to keep the contract active.

After the three year period, or at the conclusion of the project if this occurs before three years, access to the PSID data will be discontinued. What paperwork will be required for the new contract [second contract]? The new contract will require all the same application documents as the first contract.

For ease of transition, updated or modified documents are acceptable. An updated or new IRB approval must also be submitted. The researcher may request updated restricted data if a new version has been released since their original project began. What happens if I do not submit the Request for Extension Form? Your contract is considered Out-of-Compliance. Contracts that are active and in compliance are eligible to request Restricted Data Set updates.

The updated data is provided at no additional charge to these researchers; however no such updates are provided in the event that a contract is out of compliance. Also, failure to submit this documentation during a contract could jeopardize a researcher's future request for restricted data.

Sometimes unavoidable circumstances can cause delays in the submission of the Extension form and PSID staff are more than willing to work with institutions to facilitate the process.

Another researcher wants to use my restricted use data files. Is this possible? Under no circumstances can the restricted data be shared with individuals who are not named on the contract. I have completed my research using the restricted use data. What are the next steps that need to be taken? Contact the help desk to coordinate contract closure paperwork at psidhelp umich.

Can I keep all my data files that were created with the restricted data files? All restricted data and derived files must either be destroyed or returned to the PSID for secured storage. Many researchers elect to return their files to the PSID for secured storage allowing them to use the data in the future. PSID Help will coordinate with a researcher the paperwork requirements and return of previously created data sets and derived files.

The data files that are posted for each new wave are called Public Release. What does Public Release mean? The term "Public Release I" is used to refer to files released for general public use after they have been reviewed for data quality checks and consistency in both the reported family listing and the relationships among family members this review process is called "family composition editing".

The term "Public Release II" was previously used to refer to files which had undergone additional data checks to correct a very small number of cases and had been formatted in a more convenient form. There is now no longer a necessity to release two versions of the Public Release files.

What is the definition of a main family, a reinterview family, and a split off? A reinterview family is a family unit that was interviewed in the prior wave. A main family is one that is the source of a splitoff family a new study family formed by a sample member who moves out and forms his or her own family unit. In some divorce or separation situations, both resulting families will contain sample members, so both will be interviewed.

We interview the first spouse we are able to contact as the main family, while the other spouse will be in the splitoff family. In the case of children leaving home, the main family is almost always the parental family. A split-off family consists of a person or group of people at least one of whom is a "follow" person of any age who moved out from a main family since the prior wave's interview to form a new, economically independent family unit living in a separate housing unit.

Several criteria must be met for a split-off to occur. In addition to having moved out since the prior wave, and to being 'followable', the person or group of people in general may not have moved to an institution such as college or prison or to another family unit within the panel study. Moreover, the person or group of people who have moved out and formed their own family unit must be economically independent from the family unit from which they split off.

These are general rules, however, and sometimes unique situations arise that determine whether a person or group of persons becomes a split-off. For example, while moving to an institution such as college does not generally meet the criteria for becoming a split-off, if the person is working, paying their own living expenses, and paying their own educational expenses in addition to attending school, then this person could be interviewed as a split-off.

The living situation and interview data for each and every possible split-off case are first reviewed before split-off status is granted. Note that a splitoff family is only designated as a splitoff in the wave in which the family is newly formed and interviewed for the first time. In subsequent waves, they are considered a reinterview family.

What is the difference between a family unit FU , a household unit HU , and a family unit member? What is the difference between 'Head' and 'Reference Person'? Historically, PSID has used the term Head to refer to the husband in a heterosexual married couple and to a single adult of either sex. In the last 50 years, however, substantial diversification in both family formation and composition has taken place.

This change is not retroactive, however, so in historical contexts in and before we will continue to use the term head. This terminology was adopted from the Census Bureau in at the start of the PSID and has been maintained for consistency through the wave. Spouse indicates a legal marriage, while Partner is a cohabiting, non-legally married partner, where the couple can consist of heterosexual or same sex couples. Who is a Sample Member and what is Follow Status?

What is the difference between response and nonresponse family unit members? Originally, if the family contained a husband-wife pair, the husband was arbitrarily designated the Reference Person to conform with Census Bureau definitions in effect at the time the study began. The person designated as Reference Person may change over time as a result of other changes affecting the family.

If this person is female and she has a male spouse or partner in the FU, then he is designated as Reference Person. If she has a boyfriend with whom she has been living for at least one year, then he is Reference Person. However, if the husband or boyfriend is incapacitated and unable to fulfill the functions of Reference Person, then the FU will have a female Reference Person.

From to , a married male Head 'Reference Person' starting in the wave might become incapacitated in some way. He might still be in the FU, or in an institution such as a nursing home. In these cases, the female half of the couple was made Head and the husband became Husband of Head. A Husband of Head was asked the same questions as an Ofum.

A male Head could also have been made Husband of Head if the female half of the couple insisted on being the Head, the female half of the couple was adamant about not giving out information about her husband, or the husband was adamant about not wanting to be included in the study. A Husband of Head had the Relationship to Head code 9 or Once the study started coding same sex relationships in , the Husband of Head Relationship was dropped.

These designations are used when one half of the couple is adamant about not giving information about the other half, or when one half adamantly refuses to have their information included. In rare cases, these Relationships to Reference Person will be used when the sample half of a couple has moved out of the FU family unit and into an institution and is still in an institution the next wave. Are cohabitors treated differently from legally married couples? Prior to , when a new opposite sex romantic partner of Head 'Reference Person' starting in the wave moved into the FU family unit , but had been living there less than 1 year at the time of the interview, that person was labeled a Boyfriend or Girlfriend code However, if the cohabitor had been living in the FU one year or more, the couple was designated male Head and "Wife" code 22 from on.

If a Girlfriend or Boyfriend was still in the FU in the next wave, and the couple were not married, they became male Head and "Wife". If the person who moves in is married to the Head, they are of course, male Head and Wife code 20 , regardless of time living in the FU. Considerably less information is obtained about them. In the waves since the late s, information typically gathered for a Spouse has been gathered as well about a Partner "Wife" before In unmarried male plus female couples, the male still becomes the Reference Person once the "living in the FU for at least one year" criterion has been met, and the female half of the couple would be Partner.

However, in same sex couples, the sample member, whether male or female, remains the Reference Person and the other person becomes the Partner. Prior to , the Relationship to Head 'Reference Person' starting in the wave codes did not distinguish between legal Wives and long-term female cohabitors.

However, first year cohabitors can be detected prior to with a little bit of work. For example, their Relationship to Head would be 8 nonrelative , their gender would be the opposite of Head's, and in subsequent years they may become Wives or Heads, while the Head would stay as Head or become a Wife. Anyone fitting this pattern can be decisively identified as a cohabitor.

PSID did not distinctively label same sex cohabitors prior to Why are data available as "Packaged" if they are also in the Data Center? Because some users prefer the packaged files, we continue to provide data in this format. How long are my data available for download after they are created?

Data files are deleted from our servers when they are 7 days old. After that, you can re-create your data file by logging into the Data Center and selecting " Previous carts ". The website seems to be displaying incorrectly, why is this? For security reasons, we are no longer supporting some older web browsers.

If problems persist, please contact us at psidhelp umich. How does the amount of data collected in each wave vary by family unit members? Considerably less detail is collected for other family unit members OFUMs.

What data are available in the area of housing? The PSID collects many data elements about housing, including housing type, characteristics, ownership, tax, insurance, etc. A list of such items collected in each wave is available here. Where can I obtain information regarding release dates for files? How does the PSID distinguish between main and secondary jobs in the data files?

What information about physical and mental health is collected by the PSID? The PSID contains a wealth of information that can be used to study the health of Americans and their family members. Information collected in the main interview is summarized here. Health information collected in the Child Development Supplement is summarized here. How has the occupation-industry code classification system changed?

From , all occupation-industry data was coded using the three-digit Census code. You can explore and download data from OpenData without registering.

You can also use visualization and exploration tools to explore the data in the browser. Sometimes you just want to work with a large data set. You might use tools like Spark or Hadoop to distribute the processing across multiple nodes. Things to keep in mind when looking for a good data processing data set:.

A good place to find large public data sets are cloud hosting providers like Amazon and Google. They have an incentive to host the data sets, because they make you analyze them using their infrastructure and pay them.

Amazon makes large data sets available on its Amazon Web Services platform. You can download the data and work with it on your own computer, or analyze the data in the cloud using EC2 and Hadoop via EMR. You can read more about how the program works here.

Amazon has a page that lists all of the data sets for you to browse. Google lists all of the data sets on a page. Wikipedia is a free, online, community-edited encyclopedia. Wikipedia contains an astonishing breadth of knowledge, containing pages on everything from the Ottoman-Habsburg Wars to Leonard Nimoy.

Additionally, Wikipedia offers edit history and activity, so you can track how a page on a topic evolves over time, and who contributes to it. You can find the various ways to download the data on the Wikipedia site. In order to be able to do this, we need to make sure that:. There are a few online repositories of data sets that are specifically for machine learning. These data sets are typically cleaned up beforehand, and allow for testing of algorithms very quickly.

Kaggle is a data science community that hosts machine learning competitions. There are a variety of externally-contributed interesting data sets on the site.

Kaggle has both live and historical competitions. Good for text analysis. Mostly text-based, with some numerial columns, available as a CSV file. US Census at School - Random sample of anonymized students and teachers in American schools based on selection by state, years from , selectable by sample size of Gross approval includes loans that are cancelled in the current and subsequent years. PDF Small Business Administration SBA Loan Program Performance - Unpaid Principal Balance by Program Reflects the outstanding principal balance at the end of the fiscal year for the major loan programs and aggregate totals for the small direct, guarantied, and pre-credit reform pre loan programs.

PDF Small Business Administration SBA Loan Program Performanc e- Post-Charge Off Recovery Rates by Program Reflects total post-charge off recovery rates, as a percent of the amounts charged off by charge off year, for the major loan programs and aggregate totals by charge off year for the small direct and guarantied programs. Access to credit is key to their survival, growth, and recovery. The banking system continues to be their most important supplier of credit.

The data cover savings banks, savings and loan associations, and commercial banks for the state of Alabama. The data cover savings banks, savings and loan associations, and commercial banks for the state of Alaska. The data cover savings banks, savings and loan associations, and commercial banks for the state of Arizona. The data cover savings banks, savings and loan associations, and commercial banks for the state of Arkansas. The data cover savings banks, savings and loan associations, and commercial banks for the state of California.

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The data cover savings banks, savings and loan associations, and commercial banks for the state of Montana. The data cover savings banks, savings and loan associations, and commercial banks for the state of Nebraska.

The data cover savings banks, savings and loan associations, and commercial banks for the state of Nevada. The data cover savings banks, savings and loan associations, and commercial banks for the state of New Hampshire. The data cover savings banks, savings and loan associations, and commercial banks for the state of New Jersey. The data cover savings banks, savings and loan associations, and commercial banks for the state of New Mexico. The data cover savings banks, savings and loan associations, and commercial banks for the state of New York.

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The data cover savings banks, savings and loan associations, and commercial banks for the state of Oklahoma. The data cover savings banks, savings and loan associations, and commercial banks for the state of Oregon. The data cover savings banks, savings and loan associations, and commercial banks for the state of Pennsylvania. The data cover savings banks, savings and loan associations, and commercial banks for Puerto Rico.

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This profile includes information for All Profiles. Federal Government - This list includes major sources of data collected by the U. It includes business data from private, nonprofit, university, international, and other sources.

The annual banking study includes cooperative banks in addition to existing depository institutions and gives a brief review on the institution lending patterns in and The Small Business Lending tables use the call report data to rank all lenders by state.

The Small Business Lending tables use the call report data to rank all lenders for the state of Alabama. The Small Business Lending tables use the call report data to rank all lenders for the state of Arizona. The Small Business Lending tables use the call report data to rank all lenders for the state of Arkansas.

The Small Business Lending tables use the call report data to rank all lenders for the state of California.

The Small Business Lending tables use the call report data to rank all lenders for the state of Colorado. The Small Business Lending tables use the call report data to rank all lenders for the state of Connecticut. The Small Business Lending tables use the call report data to rank all lenders for the state of Delaware.

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The Small Business Lending tables use the call report data to rank all lenders for the state of Illinois.



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