Appendix 8: Instrument Rosters

The NLSY97 uses rosters in various sections in which information is collected on a number of persons, schools, or employers. Rosters are an important part of the NLSY97 data set. These grids of information help researchers to analyze data in an efficient and accurate way. However, the structure and use of rosters may be somewhat confusing, so it is vital that researchers understand how they are constructed. After describing the construction and use of rosters, the following pages list the variable names, titles, and reference numbers for the various instrument rosters used during the round 1-9 interviews. These lists are intended to aid researchers in identifying the types of information organized in each roster and to better follow the flow of information through the interview.

Click below to view roster details and examples:

A roster may be thought of as a list: for example, a list of household members, a list of employers, or a list of children. A respondent with two children will have data on the first two lines of the child list, or child roster. A respondent with four employers will have information on the first four lines of the employer roster. In addition to the name of the person or item (which is not released to the public), the roster contains other basic information, such as the age, race, and labor force status of household members or the start date and stop date for each employer.

In the paper-and-pencil interviews (PAPI) of older NLS cohorts, the questionnaires included a chart or grid listing this type of information, like the one shown in Figure 1 below. For example, in the household roster grid, each household member's name was entered in a separate row. The interviewer asked the respondent for each member's date of birth, enrollment status, employment status, etc., filling in the answers in the appropriate column. This completed household roster contained all the pertinent information about household residents, and researchers could easily use the variables based on this roster to examine characteristics of household members.

Figure 1. Sample PAPI roster grid

What are the names of all family members who are living in your home?

sample list of family member names, ages, school enrollment, and kind of work if applicable

When the NLS surveys changed to computer-assisted personal interviewing (CAPI), rosters became a very important way of organizing information during the interview. Instead of using an actual grid, however, CAPI questionnaires include a series of questions that gather the same types of information that would have been included in the grid in a paper-and-pencil interview. The computer then moves the answers to these questions into a grid, creating a roster from the information.

After the roster is created, it can be used to guide subsequent portions of the interview. For example, during the interview the NLSY97 questionnaire gathers the names, dates of attendance, and level of school (secondary school or college) for each of the respondent's schools and organizes them into a roster. The rest of the school section then asks questions about the first school on the roster, followed by questions about the second school, then the third, and so on. The information about the level of the school determines whether the respondent is asked questions that apply to high school or college.

The information from the roster is also presented in the data set as an organized list of data, so that these variables are easy for researchers to access. To the user, the school roster appears as a consolidated block of variables that contains key information such as dates of enrollment, an identification number for the school, and variables indicating the type (private or public) and level (junior high, high school, college) of the school. For example, the variables in the round 2 school roster are listed in Figure 2, along with their reference numbers. Thus, rosters are a way of organizing information both for researchers and for the actual interview so that questions are asked in a logical manner.

Figure 2. List of variables in CAPI-generated school roster
Question Name	Variable Title	Reference Numbers (one for each school)
NEWSCHOOL_PERIODS.xx	Number of Times R Enrolled in School xx	R24605.-R24610.
NEWSCHOOL_START1.xx	Month/Year R Start 1st Enrollment in School xx	R24611.00-R24616.01
NEWSCHOOL_START2.xx	Month/Year R Start 2nd Enrollment in School xx	R24617.00-R24620.01
NEWSCHOOL_START3.xx	Month/Year R Start 3rd Enrollment in School xx	R24621.00-R24621.01
NEWSCHOOL_STOP1.xx	Month/Year R End 1st Enrollment in School xx	R24622.00-R24627.01
NEWSCHOOL_STOP2.xx	Month/Year R End 2nd Enrollment in School xx	R24628.00-R24631.01
NEWSCHOOL_STOP3.xx	Month/Year R End 3rd Enrollment in School xx	R24632.00-R24632.01
NEWSCHOOL_SCHCODE.xx	School Code Elementary, Middle, High, College	R24633.-R24638.
NEWSCHOOL_INTERVIEW.xx	Which Survey Round School xx Reported in	R24639.-R24644.
NEWSCHOOL_TYPE.xx	Type of School xx R has Attended	R24645.-R24650.
NEWSCHOOL_PUBID.xx	PUBID of School xx R has Attended	R24651.-R24656.

This section includes the Creation and use of the employer roster example.

This section outlines the process used during the interview to create a roster. Rosters may include data from both previous interviews and the current interview. After the roster is created and sorted, it can be used to guide the rest of the interview. Figure 3 provides a pictorial overview of the creation of a roster.

Figure 3. How rosters are created

flowchart with additional outline in link below

Click to enlarge Figure 3 | Read a text version of the Figure 3 flowchart

Data from previous interviews

As shown in the figure, creation of a roster for the current round often begins with information found in the roster from the previous round. The appropriate respondent-specific data are saved on the interviewer's laptop before he or she administers the survey. When the interview gets to a point where roster information is collected, the data from the previous round's roster are often used as the base for the current roster. The respondent verifies and updates the information. If no changes have occurred since the last interview-for example, if exactly the same people live in the respondent's household-then the current round's roster will be the same as the one from the previous round.

For example, the interviewer reads a list of all of the people on the household roster from the last interview. The respondent first states whether any of those people have moved out of the household and then reports new household members. If any members remain from the previous year, their information-date of birth, sex, race/ethnicity, etc.-is carried over from the previous interview, and any missing data are collected. This method is more efficient than asking the respondent to report all household members every year.

Raw data collection

After the respondent and interviewer review and update the roster from the previous round, the survey collects current information. For example, new people might have moved into the household, so the interviewer asks the respondent about their characteristics. At this point, the respondent is done answering questions that will fill up the data grid on a particular topic.

Roster creation and roster sort

Using the updated roster from the previous round and the new raw data just collected, the computer creates a new roster for the current round. For example, the employer roster contains the following information for each job: a unique identification number for the employer, employment dates, whether the job was current at the interview date, whether the job was in the military, and whether the job was an internship. If the respondent had held the job at the time of the previous interview, the start date and employer identification number are carried over from the old roster, and the other information is taken from the questions at the beginning of the employment section for the current year. Similarly, the household roster contains information from the previous interview about household members reported at that time and data from the current interview about new household members.

In some cases, the computer also sorts the roster and puts the items in order based on a specified variable. For example, in the round 1 household roster, all youths in the age range of the NLSY97 cohort were listed first, and then all other household members were listed from oldest to youngest. The employer roster is sorted by job end date so that the most recent jobs are listed first.

Roster use in the interview

Finally, the roster is used to determine the order in which the other questions about each topic are asked. In most cases, the survey collects far more information than is stored in the actual roster, and the answers to these questions remain outside the roster as raw data. So that the interview makes sense to the respondent, these additional questions are asked about the people or things on the roster in the order that the people or things are listed.

For example, the respondent first answers questions about industry, occupation, rate of pay, etc., for the first employer listed on the roster. The same questions are then asked about the second job, then the third job, and so on. Similarly, the first set of questions about household members refers to the first person listed on the roster. When all of those questions have been answered, the same questions are asked about the second person, the third person, etc.

Example: Creation and use of the employer roster

The following example illustrates the structure and use of the employer roster. Most aspects of this example apply to other NLSY97 rosters as well.

Roster creation in round 1

Raw data collection. The round 1 survey asked for the names of all employers for whom the respondent had worked since age 14. Assume that a respondent named Emma reported delivering the Smalltown Press when she was 14, then switching companies and delivering the County Register, and finally working in her parents' business, Peel's Corner Store, at the time of the round 1 interview. For this example, the newspaper delivery jobs are assumed to be employee jobs and not freelance-type work. The survey then assigned a unique identification number (UID) in the order the jobs were reported: 9701 for the Smalltown Press, 9702 for the County Register, and 9703 for Peel's Store.

Roster creation and roster sort. After the UIDs were assigned, Emma reported the dates she started and stopped working for each employer. At this point, the survey program sorted the jobs according to stop date, so that the most recent employer was employer #01, the next most recent was employer #02, and so on. Therefore, Peel's Store (UID 9703) became job #01 on the roster, the County Register (UID 9702) was listed as job #02, and the Smalltown Press (UID 9701) was listed third. Key information about each employer, including the unique ID number and dates of employment, was organized in the employer roster. All of the information about Peel's Store is located in variables numbered #01 in the title, the County Register data are in variables numbered #02, and so on.

Example: Emma's round 1 YEMP roster
Employer	UID	Round 1 Roster Line #
Smalltown Press	9701	03
County Register	9702	02
Peel's Store	9703	01

Roster use in the interview. Throughout the rest of the employment section, the employer numbers remain constant, so that each variable containing, for example, the phrase "Job #03" or "Employer #03" refers to Emma's Smalltown Press job. Note that the Smalltown Press is not the third employer Emma reported at the beginning of the employment section of the interview. It became employer #03 during the roster sort because the other two jobs were more recent.

Roster creation in round 2

Data from previous interviews. The employer information was collected in a similar manner in subsequent rounds. Because data were available from the previous interview, they could be used in the construction of the round 2 roster. Before the survey was fielded, survey staff loaded information about each respondent into the interviewers' laptops. In Emma's case, part of this information would be the list of employers she reported in round 1.

Raw data collection. During the survey, respondents first provided information about employers who were current at the last interview date. Assume that Emma stated that she worked at Peel's Store for several months after the round 1 interview. Respondents next reported new employers since the last interview date in no particular order. Emma reported only one additional job, waiting tables at Steed's Diner after she turned 16. At this point UIDs were given to each employer. Because Peel's Store was previously reported, it already had a UID--9703--assigned during the last interview. Steed's Diner was a new employer in round 2, so it was given a UID of 9801.

Roster creation and roster sort. Emma then reported the date she stopped working at each job, and the roster was sorted according to these stop dates. At the round 2 interview, the diner job was more recent, so it was listed as job #01 on the roster, and the store became job #02. At this point, the roster contains information from multiple survey rounds. The UID and start date of the Peel's Store job are carried over from round 1, while the stop date of the store job and all the information about Steed's Diner comes from round 2. Because Emma had not worked for the Smalltown Press or the County Register since the round 1 interview, neither of those employers is listed on the round 2 roster.

Example: Emma's round 2 YEMP roster
Employer	UID	Round 1 Roster Line #	Round 2 Roster Line #
Peel's Store	9703	01	02
Steed's Diner	9801	-	01

Roster use in the interview. Just as in round 1, the employer numbers remain the same for the rest of the interview. As Emma answered questions about Steed's Diner, her rate of pay, hours worked, etc., were recorded in the "Employer #01" questions. Peel's Store data were recorded in the "Employer #2" series.

Roster creation in round 3 and subsequent surveys

Data from previous interviews. This is used in each round as it was in round 2. Data from earlier interviews is loaded into the interviewer's laptop before the survey begins so that it can be used in the current survey if applicable.

Raw data collection. During the survey, respondents first provide information about employers who were current at the last interview date. In response to these questions in round 3, Emma reported her ongoing employment at Steed's Diner, where she had been working in round 2. Respondents next report new employers since the last interview date in no particular order; this series includes a check of employers from prior to the date of the last interview to determine if the respondent has returned to a previous employer. At this point in round 3, Emma reported that she went back to work at the Smalltown Press for a 6-month period between rounds 2 and 3. Both employers retained their original ID numbers, 9801 for the diner and 9701 for the newspaper, despite the break in Emma's employment at the latter.

Roster creation and roster sort. The roster is again sorted according to the stop date of each job. As Emma's current employer, Steed's Diner is listed as job #01 on the round 3 roster. The Smalltown Press becomes job #02 since Emma left that job before the round 3 interview date. Jobs where employment ended before round 2 are not listed on the round 3 roster.

Example: Emma's round 3 YEMP roster
Employer	UID	Round 1 Roster Line #	Round 2 Roster Line #	Round 3 Roster Line #
Steed's Diner	9801	-	01	01
Smalltown Press	9701	03	-	02

Roster use in the interview. The roster line numbers are then used for the duration of the interview, as described above for rounds 1 and 2. In the example, information about Emma's employment at the diner is recorded in the "Employer #01" questions, while data about the newspaper are recorded in the "Employer #02" series.

This section includes the Use of the employer roster in analysis example.

The data set is organized so that rosters can easily be found and used in research. Because rosters present key pieces of information in a structured format, they are the best place to obtain that information. All variables found on rosters have "Roster Item" as their main area of interest. Each roster has a unique name that serves as the beginning of the question name for all variables on the roster; the same name appears at the beginning of the variable title for each item on the roster. Different rosters have been used in different rounds, depending on the topics included in the interview and the type of information collected. The roster names and question names are shown in Figure 4.

Figure 4. Rosters included each round
Roster	Question Name	R1	R2-4	R5	R6 and up
Household Information	HHI2 (rd. 1), HHI (rds. 2-9)	*	*	*	*
Nonresident Roster	NONHHI	*	*	*	*
Youth Information	YOUTH	*
School Roster	NEWSCHOOL		*	*	*
Employer Roster	YEMP	*	*	*	*
Freelance Jobs Roster	FREELANCE	*	*	*
Training Roster	TRAINING	*	*	*	*
Biological Children Roster	BIOCHILD	*	*
Biological/Adopted Children Roster	BIOADOPTCHILD			*	*
Parent Household Information	PARHHI	*
Parent Youth Information	PARYOUTH	*
Partner/Spouse	PARTNERS	*	*	*	*
Other parents of respondent's children Note 1	OTHERPARENTS	collapsed
Partner/spouse information Note 1	CUMPARTNERS	collapsed
Note 1: These are collapsed rosters. The variables combine information across survey rounds. All respondents are represented in the roster, regardless of whether they were interviewed in the most recent round. These variables are listed as "XRND" rather than being associated with a survey year in the data.

Important information: Locating rosters

Researchers can locate rosters in the data set by looking at the roster item area of interest, by selecting the appropriate question name, or by searching the any word in context index for variables with "ros" or "roster" and the name of the roster of interest in the title.

When the NLSY97 data set was initially created, variables could only be assigned to one area of interest. The newer data extraction software permits variables to be linked to multiple areas of interest. However, additional areas have not been assigned to every variable. Because roster items were initially located in the roster item area of interest, they may not be grouped with the rest of the data on a particular topic. For example, the school roster variables may not appear if the user searches for the "School Experience" area of interest. For this reason, it is very important that users become familiar with the rosters used in the data set. If a roster is available on the topic of a particular research project, users should always locate that roster using one of the search techniques mentioned above and examine it before using the other (non-roster) variables that relate to their research.

Using rosters in single-round analyses

When looking at the data set, users will notice that many questions are repeated for each person or thing on the roster, and the titles for these repeated questions include a number. This number indicates the line on the roster that corresponds to the person or item being described in that variable. For example, the question "Self-Employed Business/Industry Job 02" indicates the industry of the second job listed on the respondent's self-employment roster. The researcher may then want to examine information such as the respondent's start and stop dates or rate of pay for that job. To find this information, he or she can then look at the data for those items contained in the roster for job #02, or the self-employment job that is on the second line of the roster. For all other questions asked after the roster was created in that same survey year, job #02 will refer to the same self-employment job.

Users should be aware that, in some cases, the information contained in the rosters actually appears in the data set more than once. As Figure 1 suggests, data may first be included at the point in the interview when the information was actually collected. For example, the round 1 screener question SE-28 asked the household informant for the date of birth of each household member. After all the raw data had been gathered, the computer sorted all the answers and created the household roster. At this point the date of birth information is also located in the round 1 roster variables named HHI2_DOB. In the case of the round 1 household roster, both the raw data and roster items are included in the data set.

In other cases, the raw answers may be blanked out of the public use data set. If a reference number is not listed for a given question in the questionnaire, then that raw data item may only be represented in roster form. For example, answers to the raw data questions used to create the employer roster are blanked out and do not appear in the data set. In the printed questionnaire, these questions have no reference numbers. However, all of the data collected in these questions (except for confidential information like the name of the employer) appears in the employer roster.

Important information: Roster data

Even though the data may appear more than once, survey staff strongly recommend that researchers use the roster information rather than the raw data whenever possible. Survey staff are working to eliminate these duplicate sources of information.

For some variables, the roster information may be more accurate because some rosters are updated during the interview if the initial report was inaccurate. When survey staff prepare the data for release, they clean up the rosters if necessary but do not necessarily clean the corresponding raw data. Finally, because many rosters are sorted in a particular order, the number of a person or item on the roster will not match the number in the questions that precede roster creation. For example, in the household screener (the SE questions), person #01 is the first household resident mentioned to the interviewer. In the household roster and all later interview questions, person #01 is the oldest person in the household who was eligible for the NLSY97. Person #01 in the SE questions might be person #05 on the roster. It can be very difficult to determine to which person, school, or job a pre-sort question refers. For all of these reasons, roster data are always preferable to raw data in cases where both are available.

Using rosters from more than one round

Because the NLSY97 is a longitudinal survey, researchers often want to link data across survey rounds. However, household residents, jobs, and so on may move around on the roster in different interviews. That is, a father who was listed third on the roster in round 1 might move to position 2 or 4 in round 2. The unique identification numbers (UIDs) are the key to finding the same person or thing in different rounds. Most of the rosters contain variables assigning a unique number to each person or thing listed. This number never changes and can be used to link roster items across rounds. In some cases, it also makes it possible to link people between two different rosters in the same survey. For example, beginning in round 2 the unique ID listed for a child on the biological children roster is the same one assigned to that child on the household roster. Researchers can therefore examine data on both rosters about the same child.

An additional feature of most unique ID numbers is that they incorporate an indicator of the round in which the person or item was first reported. For example, IDs of roster items reported in round 1 may begin with "1" or "97," while those first reported in round 2 begin with "2" or "98." (Beginning with round 3, 4-digit years are used so that IDs begin with "1999" rather than just "99.") UIDs for people on the household roster are constructed in a slightly different manner; researchers should refer to Household Composition for more information.

Example: Use of the employer roster in analysis

Continuing the above example, this section explains how to use rosters in data analyses. Although the employer roster is used in the example, most aspects apply to other NLSY97 rosters as well. Emma's information, as organized in the employer rosters, can be used to examine the characteristics of her jobs at the date of each interview or over time. This example focuses primarily on the round 2 employer roster, but use of the roster is similar in each subsequent round.

As described above, Emma worked for Peel's Store and Steed's Diner during the period between the round 1 and round 2 interviews. Information about these employers was sorted and a roster constructed with the most recent employer appearing first. A researcher using these data would need to be aware of the impact of roster construction.

Because the roster is sorted and employers reported in different rounds may be mixed, variables with "Employer #01" in the title do not necessarily refer to employer number 9701, 9801, etc. The #01 refers solely to the order of the job as listed on the current year's roster. The unique identification numbers provide a crosswalk between the two systems of identification. The UIDs also allow users to link employers across survey rounds and to identify the round in which an employer was first reported.

For example, Emma's value for the round 2 variable R24761., "YEMP, Employer 02 Unique ID (Ros Item)," would be 9703-Peel's Store. The user can identify this as an ID assigned in round 1 because it starts with "97," and look at the round 1 UID variables (R05311.-R05317.) to match the employer. In Emma's case, the variable for employer #01 in round 1 would have UID 9703. Therefore, the researcher knows that information about employer #01 in round 1 refers to the same job as variables about employer #02 in round 2. The variables from the two rounds can then be compared to determine if there were any changes in characteristics such as hours worked, rate of pay, occupation, etc.

The roster line numbers and UID variables in the event history data work in the same way. For example, a researcher might want to know Emma's employment status in the first and last week of 1998. In the first week of 1998 (variable EMP_STATUS.01.98), Emma was working at her parents' store, so the status variable would have a value of 9703. Using this UID, researchers can link that job to all of the other information collected during the interview. For the last week of 1998 (variable EMP_STATUS.01.98), when Emma was working at Steed's Diner, the status variable would have a value of 9801. The second set of event history variables, the start and stop dates of each job, uses the roster line numbers. For these variables, the number in the variable title refers to the same job as in the main data set. For example, in the main round 2 data Peel's Store is job #02. The start and stop dates for Peel's Store in the event history data (variables EMP_START_WEEK.02 and EMP_END_WEEK.02) will also have #02 in the variable title.

Household Information

PREFIX = "HHI" (e.g., HHI_AGE.01); in round 1 only prefix was "HHI2" (e.g., HHI2_AGE.01)

Variable Name	Title: All end in (Scr Ros Item)	R1	R2	R3-6	R7	R8	R9-11	R12-14
_AGE	Age of HH Member xx as of Intdate	*	*	*	*	*	*	*
_AGEEST	Estimated Age of HH Member xx as of Intdate		*	*	*	*	*
_ASVAB	Was HH Member xx Flagged for Asvab	*
_CHILDID	ChildID HH Member xx			*	*	*	*	*
_DADID	ID Number of HH Member xx Bio Dad	*
_DOB (rd 1) _BDATE (later rds)	Date of Birth of HH Member xx (rd 1) HH Member xx Birthdate (later rds)	*		*	*	*	*	*
_DEGREE	HH Member xx Highest Degree Earned		*	*	*	*	*
_EMPLOYED	Employment Status of HH Member xx (rd 1) HH Member xx Employment Status (later rds)	*	*	*	*	*	*	*
_ENROLLNEXT	Will HH Member xx Be Enrolled Next Fall	*
_ENROLLSTAT	Is HH Member xx Currently Enrolled	*	*	*	*	*	*
_ETHNICITY	Is HH Member xx Hispanic? (rd 1) HH Member xx Ethnicity (later rds)	*	*	*	*	*	*	*
_FIRSTLIVE	HH Member xx Date First Lived in HH		*	*
_HHFLAG	HH Member xx Status		*	*	*	*	*	*
_HHI1ID	ID of HH Member xx from HHi1 Roster	*
_HIGHGRADE	HH Member xx Highest Grade Completed	*	*	*	*	*	*	*
_ID	HH Member xx ID	*
_INCOME	What Is HH Member xx Monthly Income?					*	*	*
_INFORMANT	Is HH Member xx the Informant	*
_MARSTAT	HH Member xx Marital Status	*	*	*	*	*	*	*
_MOMID	HH Member xx Bio Moms ID	*
_PARENTUID	HH Member xx Parent UID			*	*	*	*	*
_PARTNER	HH Member xx Have a Partner	*
_PARTNERID	ID of HH Member xx Partner	*
_RACE	Race of HH Member xx (rd 1) HH Household Member xx Race (later rds)	*	*	*	*	*	*	*
_RELIGION	HH Member xx Religious Preference			*	*	*
_RELY	Relationship of Person xx to Respondent (rd 1) HH Member xx Relationship to R (later rds)	*	*	*	*	*	*	*
_RELx, _RELxx	Relationship of Person x to HH Member xx The relationship variables are provided for people 1-16. For example, REL1 provides the relationship of person 1 to household member xx. REL16 provides the relationship of person 16 to household member xx.	*
_REVDOLEL	Is HH Member xx DOLEligible (Revised)	*
_REVETPEL	Is HH Member xx ETPEligible (Revised)	*
_REVSTPEL	Is HH Member xx STPEligible (Revised)	*
_SEX	Gender of HH Member xx (rd 1) HH Member xx Gender (later rds)	*	*	*	*	*	*	*
_SPECIAL	HH Member xx Approved Special Accommodations	*
_SPOPARID	ID of HH Member xx Spouse or Partner	*
_SPOUSEID	ID of HH Member xx Spouse in HH	*
_UID	HH Member xx Unique ID	*	*	*	*	*	*	*

NONHHI Roster (Non-resident relative enumeration)

PREFIX = "NONHHI" (e.g., NONHHI_AGE.01)

Variable Name	Title: All end in (Scr Ros Item)	R1	R2	R3	R4	R5	R6	R7-14
_AGE	Age Non-Res Member xx at Interview Date (rd 1) Age of Nonres Member xx as of Intdate (later rds)	*	*	*	*	*	*	*
_ADOPTEDOUT	Nonres Memb xx was Adopted Out					*	*	*
_BDATE	HH Member xx Birthdate (rd 3-5) Nonres Member xx Birthdate (later rds)			*	*	*	*	*
_CHILDID	Nonres Member xx Child ID			*	*	*	*	*
_DECEASED (rd 1) _DECEASEDNUM (later rds)	Is Non-Res Member xx Deceased	*	*	*	*	*	*	*
_DEGREE	Non-Res Member xx Have a Degree	*
_EMPLOYED	Employment Status of Non-Res Member xx	*
_ETHNICITY	Is Non-Res Member xx Hispanic (rd 1) Is Nonres Member xx of Hispanic Origin? (later rds)	*	*	*	*	*	*	*
_FLAG (rd 1) _HHFLAG (later rds)	How Is Non-Res Member xx Flagged (rd 1) Nonres Member xx Status (rd 2) Nonres Member xx Household Status (later rds)	*	*	*	*	*	*	*
_HIGHGRADE	HGC by Non-Res Member xx	*
_LIVEDWITH	Nonres Member xx Live with R since DLI?			*			*
_MARSTAT	Marital Status of Non-Res Member xx (rd 1) Nonres Member xx Marital Status (later rds)	*	*	*	*	*	*	*
_PARENTUID	Nonres Member xx Parent UID				*	*	*	*
_RACE Note 2	Race of Non-Res Member xx (rd 1) Nonres Member xx Race (later rds)	*	*	*	*	*
_RELATION (rd 1) _RELY (later rds)	Relationship of Non-Res Member xx to Youth (rd 1) Nonres Member xx Relationship to R (later rds)	*	*	*	*	*	*	*
_SEX	Gender of Non-Res Member xx (rd 1) Nonres Member xx Gender (later rds)	*	*	*	*	*	*	*
_UID	Unique ID of Non-Res Member xx (rd 1) Nonres Member xx Unique ID (later rds)	*	*	*	*	*	*	*
Note 2: After round 5 the way race is asked in the questionnaire changed; it was not possible to maintain the race variable on the NONHHI roster since this roster is not directly updated during the survey. Users who need race information may be able to retrieve it from an early round, or from the HHI roster if the person ever re-entered the respondent's household.

PARTNERS Roster and CUMPARTNERS Roster (Youth partners)

PREFIX = "PARTNERS" (e.g., PARTNERS_xxxxx.01) and ("CUMPARTNERS" (e.g., CUMPARTNERS_xxxxx.01)

Note: A PARTNERS Roster is created for each survey round. Then, the CUMPARTNERS Roster is created as a collapsed roster which contains data from the most recent round in which each respondent was interviewed. Both rosters are represented here as the items on the rosters are very similar.

Variable Name	Title: All end in (Ros Item)	R1-8	R9-14	CUM (XRND)
_CHILDWITH	R Had Child With Partner	*	*	*
_CURRENT	R Was Living With Partner At Interview	*	*	*
_ID	ID Of R's xx Partner	*	*	*
_SEX	Partner or Spouse xx Gender (PARTNERS) Gender of Partner xx (CUMPARTNERS)		*	*
_STARTDATE	Date R Started Living With Partner	*	*	*
_STOPDATE	Date R Stopped Living With Partner	*	*	*
_STATUS (PARTNERS) _MARSTAT (CUMPARTNERS)	Marital Status with R at Time of Interview (PARTNERS) MARSTAT of R with Partner xx (CUMPARTNERS)	*	*	*
_UID	UID of R's xx Partner (rds 1-4) Partner or Spouse Unique Household ID Number xx ID (later rds & CUM)	*	*	*

BIOChild Roster (Youth's children)

PREFIX = "BIOCHILD" (e.g., BIOCHILD_BDATE.01)

Variable Name	Title: All end in (Ros Item)	R1	R2	R3	R4
_BDATE	Birthdate of R Bio Child xx, Final (rd 1) Bio Child 01 Bdate (later rds)	*	*	*	*
_DEAD	Is R Bio Child xx Deceased, Final (rd 1) Bio Child xx is Deceased (later rds)	*	*	*	*
_DOD	Bio Child xx Date of Death		*	*	*
_ID	ID Number of Bio Child xx (rd 1) Bio Child xx ID (later rds)	*	*	*	*
_RESIDE	Does R Bio Child xx Reside in Household, Final (rd 1) Bio Child xx Resides in Rs Household (later rds)	*	*	*	*
_SEX	Gender of R Bio Child xx, Final (rd 1) Bio Child xx Sex (later rds)	*	*	*	*
_PARENTUID. xx	ID of Other Parent of R Bio Child xx (rd 1) Bio Child xx Parent ID (later rds)	*	*	*	*
_UID. xx	Bio Child Unique Household ID Number xx ID	*	*	*	*

BIOADOPTChild Roster (Respondent's children)

PREFIX = "BIOADOPTCHILD" (e.g., BIOADOPTCHILD_SEX.O1)

Variable Name	Title: All begin with BIOADOPTChild and end in (Ros Item)	R5-11	R12-14
_ADOPTED	Child xx Adopted Status	*	*
_ADOPTEDOUT	Adopted Out Status	*	*
_BDATE	Biological/Adopted Child xx Bdate (other rds) Bio Child xx Bdate (rds 6-7)	*	*
_CHILDID	Biological/Adopted Child xx ID	*	*
_DOD	Biological/Adopted Child xx Date of Death (rd 5) Biological/Adopted Child xx DOD (later rds)	*	*
_DEAD	Biological/Adopted Child is Deceased	*	*
_PARENTUID	Biological/Adopted Child xx Parent ID	*	*
_RESIDE	Biological/Adopted Child xx Resides in Rs HH (rd 5) Biological/Adopted Child xx Resides in Rs Household (later rds)	*	*
_SEX	Biological/Adopted Child xx Sex	*	*
_UID	Biological/Adopted Child xx Unique ID Number ID (rd 5) Biological/Adopted Child Unique Household ID Number xx ID (rd 6) Biological/Adopted Child Child Unique Household ID Number xx ID (later rds)	*	*
_BIRTHWTLBS	Biological/Adopted Child xx Birth Weight - Pounds		*
_BIRTHWTOZ	Biological/Adopted Child xx Birth Weight - Ounces		*

OTHER PARENT Roster (Other parent of respondent's children)

PREFIX = "OTHERPARENTS" (e.g., OTHERPARENTS_AGE.01)

Note: This is a collapsed roster and contains data from more than one survey round. It includes information for all respondents, regardless of whether they were actually interviewed in the most recent round. In Investigator, the survey year is listed as "XRND".

Variable Name	TAll begin with OTHERPARENT and end in (Ros Item)
_AGE	Age of Other Parent xx of Rs Child as of Intdate
_CARES	How Much R Cares for Other Parent xx
_CHILDID1	ID of Other Parent xx First Child with R
_CHILDID2	ID of Other Parent xx Second Child with R
_CHILDID3	ID of Other Parent xx Third Child with R
_CHILDID4	ID of Other Parent xx Fourth Child with R
_CHILDID5	ID of Other Parent xx Fifth Child with R
_CHILDID6	ID of Other Parent xx Sixth Child with R
_CHILDRANK	Rank Order by Child of Info about Other Parent xx
_CLOSE	How Close R Is to Other Parent xx
_CONFLICT	Amt of Conflict between R and Other Parent xx
_DEGREE	Other Parent xx Highest Degree Earned
_EMPLOYED	Other Parent xx Is Employed
_ENROLLSTAT	Is Other Parent xx Currently Enrolled
_ETHNICITY	Other Parent xx Ethnicity
_GOVTAID	Other Parent xx Is Receiving Govt Aid
_HGC	Other Parent xx Highest Grade Completed
_INCOME	Other Parent xx Monthly Income
_RACE	Other Parent xx Race
_RELBIRTH	RELATIONSHIP with Other Parent xx When Bio Child Born
_RELIGION	Other Parent xx Religious Preference
_RELPREG	Sexual Rltnshp W/ Other Parent xx When Became Pregnant
_ROUND	Round Data about Parent xx Was Collected
_SOURCE	Source of Parent xx Data
_UID	Other Parent xx Unique ID

NEWSCHOOL Roster (Respondent's schools)

PREFIX = "NEWSCHOOL" (e.g., NEWSCHOOL_PERIODS.01)

Variable Name	Title: All begin with NEWSCHOOL and end in (Ros Item)	R1	R2-3	R4	R5	R6	R7-8	R9	R10	R11-12	R13-14
_PERIODS	Number of Times R Enrolled in School xx (rd 2) Number of Times R Enrolled in New School (later rds)		*	*	*	*	*	*	*	*	*
_START1	Month/Year R Start 1st Enrollment in School xx		*	*	*	*	*	*	*	*	*
_START2	Month/Year R Start 2nd Enrollment in School xx		*	*	*	*	*	*	*	*	*
_START3	Month/Year R Start 3rd Enrollment in School xx		*		*		*	*	*		*
_STOP	Month/Year R End Enrollment in School	*
_STOP1	Month/Year R End 1st Enrollment in School xx		*	*	*	*	*	*	*	*	*
_STOP2	Month/Year R End 2nd Enrollment in School xx		*	*	*	*	*	*	*	*	*
_STOP3	Month/Year R End 3rd Enrollment in School xx		*		*		*	*	*		*
_SCHCODE	School Code Elementary, Middle, High, College	*	*	*	*	*	*	*	*	*	*
_INTERVIEW	Which Survey Round School xx Reported in (rds 1-2) Which Survey Round New School xx Reported in (later rds)	*	*	*	*	*	*	*	*	*	*
_TYPE	Type of School xx R Has Attended	*	*	*	*	*	*	*	*	*	*
_PUBID	PUBID of School xx R Has Attended	*	*	*	*	*	*	*	*	*	*
_LEFT	Reason Left School xx	*	*	*	*	*	*	*	*	*	*
_LEFT2	Reason Left School xx - 2nd Time		*	*	*
_GED	GED Status of College Enrollment in School xx			*	*	*	*	*	*	*	*
_RECOVERED	School xx College Information Recovered in Round 10							*

YEMP Roster (Youth's employers)

PREFIX = "YEMP" (e.g., YEMP_CURFLAG.01)

Variable Name	Title: All end in (Ros Item)	R1	R2-3	R4-5	R6-7	R8	R9	R10-14
_ASSIGNMT	Assignmt Job xx						*	*
_CURFLAG	Was R Currently Employed at Interview Date Job xx (rd 1) Is R Currently Working for Employer xx (later rds)	*	*	*	*	*	*	*
_INDCODE	Type of Bus or Industry Code (1990 Census 3-Digit) xx	*	*	*
_INDCODE-2002	Type of Bus or Industry Code (2002 Census 4-Digit) xx	*	*	*	*	*	*	*
_INTERN	Is This an Internship Employer Job xx Employer xx Is an Internship	*	*	*	*	*	*	*
_MILFLAG	Is Employer xx a Military Employer		*	*	*	*	*	*
_MILCODE	Employer xx Military Code		*	*	*	*	*	*
_MILPAY	Employer xx Military Pay Grade		*	*	*	*	*	*
_OCCODE	Occupation/Job Code (1990 Census 3-Digit) xx	*	*	*
_OCCODE-2002	Occupation/Job Code (2002 Census 4-Digit) xx	*	*	*	*	*	*	*
_YEMP_SELFEMP	Is Employer xx a Self-Employed Job?			*	*	*	*	*
_STARTDATE	Employer Start Month/Day/Year Job xx (rd 1) Month/Year Start Working for Employer xx (rd 2) Month/Day/Year Start Working for Employer xx (later rds)	*	*	*	*	*	*	*
_STOPDATE	Employer Stop Month/Day/Year Job xx (rd 1) Month/Year Stop Working for Employer xx (rd 2) Month/Day/Year Stop Working for Employer xx (later rds)	*	*	*	*	*	*	*
_UID	Employer Unique ID Number Job xx (rd 1) Employer xx Unique ID	*	*	*	*	*	*	*
_RECOVERED	Employer xx Job Information Recovered in Round 10					*	*

Important information: Employment rosters

Beginning in round 4, the transition from the freelance section to the regular employee job section created a disconnect in unique ID codes (see the introduction to Appendix 2: Employment Variable Creation). If a respondent had a freelance job at age 16 with enough earnings to qualify as self-employed, and continued that job past his or her 18^thbirthday, the job now appears, on the regular employer roster rather than the freelance roster. When the job was in the freelance section, it was assigned a freelance UID. However, these UIDs could not be transferred to the regular employer roster because the numbering system is different. On the other hand, it was misleading to assign a round 4 UID, when the self-employed job first appears on the regular employer roster, because the job was preexisting. So, to indicate that a self-employed job existed during a previous interview, it was assigned a UID of 199999 on the round 4 roster. If a self-employed job was new in the round 4 interview--it had never been reported in the freelance section--it was assigned a regular round 4 UID.

FREELANCE Roster (Respondent's freelance jobs)

PREFIX = "FREELANCE" (e.g., FREELANCE_JOBS-COD.01)

Variable Name	Title: All begin with FREELANCE and end in (Ros Item)	R1	R2	R3	R4	R5
_JOBS-COD	Job Code Frame xx	*	*	*	*	*
_JOBS-NEWCOD	Job Code Frame - Revised xx	*	*
_STARTDATEL	Start Date Reported at DLI Job xx		*
_STARTDATEC	Start Date Current Freelance Job xx		*	*	*	*
_STOPDATECU	Stop Date Current Freelance Job xx		*	*	*	*
_CURATLI	Job Was Current at DLI Job xx		*
_CURRNOW	Job xx Is Current Freelance Job		*	*	*	*
_STARTDATEI	Start Date Info Job xx		*
_UID	Freelance Job xx Unique ID	*	*	*	*	*

TRAINING Roster (Respondent's training programs)

PREFIX = "TRAINING" (e.g., TRAINING_UID.01)

Variable Name	Title: All begin with TRAINING and end in (Ros Item)
_UID	UID of Training Program xx
_STARTDATE	Startdate of Training Program xx
_STOPDATE	Stopdate of Training Program xx
_CURFLAG	Training Program xx Current
Note: All rounds have the same variables on the roster.

Additional roster variables

A handful of other variables have been listed as roster variables in various survey rounds. These special variables are summarized below.

Round	Variable Name	Title: All end in (Ros Item)	Description
1	PLACES_GETHOME	PLACES Time R Arrives Home after Regular Daily Activity xx	This roster describes places that a not enrolled/employed respondent usually goes.
1	PLACES_GETTIME	PLACES Time R Leaves Home for Regular Daily Activity xx
2	OLDR1NONHHIPARENT_UID	UID of DLI Parent xx	These variables permit identification of parents in the parent loops at the beginning of the HHI section. See the note in the codebook for more information.
2	OLDR1PARENT	UID of DLI Parent xx
3	PREVPARENT_UID	Prev HH Parent Unique Household ID Number xx ID
3	PREVNONHHIPARENT_UID	Prev NONHHI Parent Unique ID Number xx ID

In round 1, a number of rosters were used to organize information from the Screener, Household Roster, and Non-Resident Roster Questionnaire. Some of this information was then transferred into the parent and youth interviews for verification and for use in determining question paths. Figure 5 identifies the key rosters in the round 1 survey and shows how they were used in different parts of the survey.

The YOUTH, PARHHI, and PARYOUTH rosters appeared only in the round 1 survey. The contents of these special rosters are listed following Figure 5. Other rosters in the figure also appeared in subsequent rounds and are listed in the previous section.

Figure 5. Construction and use of round 1 rosters