Most applicants will share a room with another applicant and are expected to be considerate of other guests and hotel property. You will pay only for extras, such as telephone calls.
After you have met the physical and CAT-ASVAB standards of the branch of service you have selected, a service liaison counselor will tell you about job opportunities and the enlistment agreement. You are making important decisions and need to be informed. Service liaison counselors can explain each program and answer your questions. When in doubt A final interview, fingerprinting for a FBI check and pre-enlistment briefing will be completed before you take the oath of enlistment.
Members of your family are welcome to watch you take the oath. A waiting room is available for them. Your family may take photographs of you with the military officer administering the oath. If you are entering the DEP or not enlisting at this time, return transportation to your home will be coordinated by your recruiter. Those of you entering active duty will receive instructions on your transportation arrangements to basic training.
We can put you in touch with recruiters from the different military branches. Learn about the benefits of serving your country, paying for school, military career paths, and more: sign up now and hear from a recruiter near you. Hobbies like BMX, motocross, skiing, snowboarding, skateboarding and others are now full-time sports for many young athletes. Get the scoop on discounts and latest award-winning military content. Right in your inbox. View more newsletters on our Subscriptions page.
The Naval Sea Cadet Corps was established in and looks "to build leaders of character" through military instruction and In-flight refuelers, also known as boom operators, can pump more than tens of thousands of pounds of gas at a time.
The Judge Advocate General's Corps handles matters of military justice and military law, and acceptance requires a four-year Learn about the benefits of serving your country, paying for school, military career paths, and more: sign up now and hear from a recruiter near you.
After an illness or injury, it is often difficult to regain the same level of fitness you worked so hard to achieve. Hobbies like BMX, motocross, skiing, snowboarding, skateboarding and others are now full-time sports for many young athletes. After an injury, starting to train again can be difficult, depending on the type of injury and progression to recovery.
Get the scoop on discounts and latest award-winning military content. Right in your inbox. View more newsletters on our Subscriptions page. The Naval Sea Cadet Corps was established in and looks "to build leaders of character" through military instruction and In-flight refuelers, also known as boom operators, can pump more than tens of thousands of pounds of gas at a time.
The Judge Advocate General's Corps handles matters of military justice and military law, and acceptance requires a four-year Summer is not a restful period at West Point.
Every class there is involved in some exercises during Cadet Summer Training. Admissions liaison officers act as a mentor, sounding board and guiding light rolled into one, and every service academy The U. The demonstration, which took place in A former US Marine, Trevor Reed, has gone on hunger strike in hunger to protest against his prison sentence Poland's Prime Minister Mateusz Morawiecki met with soldiers guarding the border with Belarus on Tuesday, as authorities braced for Specifically, information was collected initially at the family level.
An additional question UNABLE31 asked if the person was completely unable to work at a job, do housework, or go to school. The variable indicating any cognitive limitation COGLIM31 was collected at the family level as a three-part question HE to HE , asking if any of the adults in the family 1 experience confusion or memory loss, 2 have problems making decisions, or 3 require supervision for their own safety.
Family members with one, two, or three specific cognitive limitations cannot be distinguished. This variable was based on two questions, HE26 and HE The initial question HE26 determined if anyone in the family had difficulty hearing.
One subsequent question was asked only about individuals who had difficulty hearing i. DEAF42 indicates whether the family member with hearing impairment is deaf. This variable was based on two questions, HE29 and HE The initial question HE29 determined if anyone in the family had difficulty seeing.
One subsequent question was asked only about individuals who had difficulty seeing i. BLIND42 indicates whether the family member with seeing impairment is blind. A series of questions HE32 to HE39 in Panel 21 Round 4 and Panel 22 Round 2 provides information on cognitive difficulty, difficulty walking or climbing stairs, difficulty dressing or bathing, and difficulty doing errands.
Questions regarding cognitive difficulty, difficulty walking or climbing stairs, and difficulty dressing or bathing were asked of household members 5 years of age and older. The question regarding difficulty doing errands was asked of household members 15 years of age and older. DFCOG42 indicates whether a person had serious cognitive difficulty. This variable was based on two questions, HE32 and HE The initial question HE32 determined if anyone in the family had difficulty concentrating, remembering or making decisions.
This variable was based on two questions, HE34 and HE The initial question HE34 determined if anyone in the family had serious difficulty walking or climbing stairs. This variable was based on two questions, HE36 and HE The initial question HE36 determined if anyone in the family had difficulty dressing or bathing.
This variable was based on two questions, HE38 and HE The initial question HE38 determined if anyone in the family had difficulty doing errands alone. A series of questions HE40 to HE43 provides information on hearing aids and eyeglasses. These questions were asked of all household members, regardless of age. This variable was based on two questions, HE40 and HE The initial question HE40 determined if anyone in the family wore a hearing aid.
This variable was based on two questions, HE42 and HE The initial question HE42 determined if anyone in the family wore eyeglasses or contact lenses. If all the components had missing value codes i. However, some of the variables used to construct ANYLMI17 were assessed in , so some information from early is incorporated into this variable. Questions were asked about each child under the age of 18 excluding deceased children in the applicable age subgroups to which they pertained.
This public use dataset contains variables and frequency distributions from the Child Health and Preventive Care Section associated with 8, children who were eligible for the Child Health and Preventive Care Section.
A key reference for this screener instrument is:. Ambulatory Pediatrics Volume 2, No. These questions are asked about children ages 0 — In general, the CSHCN screener identifies children with activity limitation or need or use of more health care or other services than is usual for most children of the same age.
The CSHCN screener questions consist of a series of question-sequences about the following five health consequences: the need or use of medicines prescribed by a doctor; the need or use of more medical care, mental health, or education services than is usual for most children; being limited or prevented in doing things most children can do; the need or use of special therapy such as physical, occupational, or speech therapy; and the need or use of treatment or counseling for emotional, developmental, or behavioral problems.
Children with positive responses to at least one of the five health consequences along with all of the follow-up questions were identified as having a Special Health Care Need. These questions inquired about possible child behavioral problems and were asked in previous years. A key reference for the Columbia Impairment Scale is:.
Bird HR, Andrews H, et. Variables in this set include:. A series of questions was asked about amounts and types of preventive care a child may receive when going to see a doctor or other health provider.
Questions are asked of children of different age groups depending on the nature of the questions. Due to confidentiality concerns and restrictions, child height and weight variables are not included on the Full-Year file.
Child height and weight were not top-coded prior to the construction of the preliminary data set. As indicated in step 2 above, a preliminary SAS data set containing height, weight, sex, and age data for children years old in FY was created. The program used the preliminary data set of children to generate a preliminary child BMI based on the CDC growth charts. The program used the following formula to calculate the preliminary BMI for children:.
Note that weight in pounds and ounces was converted to weight in kilograms in the preliminary data set. Similarly, height in feet and inches was converted to height in centimeters in the preliminary data set. These questions were asked of each person 18 years or older.
The survey was designed to collect a variety of health status and health care quality measures of adults. The questionnaires were administered in late and early This weight adjusts for SAQ non-response and weights to the U.
All of the variables refer to events experienced in the last 12 months and were asked of adults age 18 and older. In , ADNDCR42 whether you or a doctor believed you needed any care, tests, or treatment and ADEGMC42 how often it was easy to get care, tests, or treatment you or a doctor believed necessary were dropped from the file.
In , the questions related to seeing a specialist were revised. In addition, the variable ADDRBP42 blood pressure has been checked by a doctor, nurse, or other health professional was also dropped from the file. Key references for these three measures are:. In analyzing data from the VR, the standard approach is to form two summary scores based on responses to the 12 questions. The bridging algorithm used for these measures was developed to be tolerant of missing data in item responses when computing PCS and MCS scores Additionally, beginning in , there will no longer be negative values due to top- and bottom-coding.
The report containing information on the methodology used for the bridging algorithm can be requested from mepsprojectdirector ahrq. In , seven of the health status questions changed and the corresponding variables were renamed.
The scales were reversed as indicated for the following four variables:. Scale prior to 1 All of the time 2 Most of the time 3 Some of the time 4 Little of the time 5 None of the time. Scale beginning in 1 None of the time 2 Little of the time 3 Some of the time 4 Most of the time 5 All of the time. Prior to 1 All of the time 2 Most of the time 3 Some of the time 4 Little of the time 5 None of the time. Beginning in 1 All of the time 2 Most of the time 3 A good bit of the time 4 Some of the time 5 Little of the time 6 None of the time.
Kessler and colleagues. A summary of the six variables above provides an index to measure non-specific, rather than disorder-specific, psychological distress, using the following values:. The index, called K6SUM42, is a summation of the values of the six variables above. The SAQ includes two additional mental health questions. PHQ is a summation of the values of the two variables above, with scores ranging from 0 through 6. Kroenke et al. Note that these items are intended as a screening measure for depression and are not equivalent to a DSM-V diagnosis of depression.
The SAQ included four questions that ascertain certain health-related attitudes. No editing has been performed for these items. Please see Section 3. Every year, a small number fewer than 10 of people answer no to the diabetes diagnosis question DCS.
The DCS data are unedited, and, therefore, these and other data inconsistencies remain in the data. DSA1C53 indicates the number of times the respondent reported having a hemoglobin A1c blood test in Note that, prior to , DSA1C53 did not reflect whether the person had a hemoglobin A1c blood test, only whether the person had a hemoglobin A1c test. These follow-up variables are set to Inapplicable -1 for persons who report not having learned how to take care of their diabetes during the last 12 months.
Those variables that indicate a range of care outside the data year may represent persons with additional information included on the or the Full Year Consolidated PUF. Additional data for the second-year panel may be available on the PUF. This weight adjusts for DCS nonresponse and weights to the number of diabetics in the U.
This weight adjusts for CSAQ non-response and is an estimate of the adult population self-reporting as having been diagnosed with or treated for cancer as an adult see Section 3. Analysts should note that the CSAQ data collected from Panel 21 Round 3 were omitted due to possible overrepresentation of recently diagnosed individuals. The CSAQ includes questions to ascertain the person's cancer diagnosis and treatment history. The other five items are given below.
The CSAQ includes questions to determine whether cancer or its treatment caused the person to take extended paid time off from work, change to working part-time, change to a flexible work schedule, change to a less demanding job, not pursue promotion, or retire early. The CSAQ contains questions to ascertain if caregivers provided help with getting the person to the doctor, going to appointments, making decisions about treatment, or provided other types of care and support during or after cancer treatment.
The CSAQ contains questions that ask about health insurance coverage from the time the respondent was first diagnosed with cancer to now. These questions ascertain if the person had health insurance coverage that paid for all or only part of the medical care, tests, cancer treatment, doctor visits or second opinions, or if they were ever denied coverage.
The CSAQ asks questions about experiences the person had with medical care, including subjects discussed with doctors or healthcare providers, whether the person received all necessary care, and reasons for not receiving necessary care.
The CSAQ asks questions about how cancer, its treatment, and the lasting effects of that treatment have affected the person's life.
This includes limitations on activities and tasks, whether the person asked for and received help getting to doctors or understanding medical bills, concerns about cancer coming back or getting worse, and positive experiences due to cancer.
The Disability Days DD section of the core interview contains questions about time lost from work because of a physical illness or injury, or a mental or emotional problem. Data were collected on each individual in the household. Beginning in , annualized versions of these variables are constructed for release rather than the previously released versions, which were round and panel specific. The number at the end of the variable name 17 identifies the variable as representing data from These annual variables use building block variables for construction which represent an individual panel within the data year.
The reference period for the Disability Days questions is the time period between the beginning of the panel or the previous interview date and the current interview date.
Analysts should be aware that Round 3 is conducted across years. The Disability Days variables reflect only the data pertinent to the calendar year i. The variable DDNWRK17 represents the number of times the person lost a half-day or more from work because of illness, injury, or mental or emotional problems during the calendar year.
This is because the responses to the Disability Days questions are independent of the responses to the employment questions. Persons who were less than 16 years old or whose age is missing AGE X is set to -1 were not asked about work days lost, thus this variable is coded -1 Inapplicable for these persons.
A final set of variables indicates if an individual took a half-day or more off from work to care for the health problems of another individual in the family and the number of days missed.
This variable has three possible answers: yes - missed work to care for another coded 1 ; no — did not miss work to care for another coded 2 ; or the person does not work coded -1 , based on the setting of DDNWRK Persons younger than 16 and persons whose age is missing were not asked this question and are also coded as -1 in a small number of cases this was not done for the data, the analyst will need to make this edit when doing longitudinal analyses. This combination indicates that the person did not miss those work days during the data year.
Editing was done on these variables to preserve the skip patterns. No imputation was done for those with missing data. For those family members who do not have a USC provider, question AC07 ascertains the main reason why. Recoding is described in greater detail below. Family members without a USC provider are then asked AC08, which ascertains whether there are any additional reasons why.
The person may choose one or more reasons. A variable is constructed for each reason why:. These variables reflect the answer categories given at AC The AC section collects information about the different characteristics of each unique USC provider for a given family. Two variables indicate the location of the provider. The possible values include:.
The respondent may choose more than one race for a single provider. For example, a person-in-facility provider with a particular person named who is a white, Hispanic, female pediatrician, with no other race specified, and whose location is in an office in a hospital is coded as:. These questions are split into three sections inquiring about medical, dental, and prescription medicine treatments.
Possible reasons include:. Editing consisted primarily of logical editing for consistency with skip patterns. Not all variables or categories that appear in the Access to Care section of the HC questionnaire are included on the file, as some small cell sizes have been suppressed to maintain confidentiality. Note that, starting in , additional categories and variables are retained for low frequency responses to allow for pooling data.
Employment questions were asked of all persons 16 years and older at the time of the interview. Employment variables consist of person-level indicators such as employment status and job-related variables such as hourly wage. The current main job, defined by the respondent, indicates the main source of employment. Most employment variables pertain to the round interview date. The round dates are indicated by two numbers following the variable name; the first number representing the round for Panel 21 persons, the second number representing the round for Panel 22 persons.
For example, EMPST31 refers to employment status on the Round 3 interview date for Panel 21 persons and employment status on the Round 1 interview date for Panel 22 persons. With the exception of some health insurance and wage variables, no attempt has been made to logically edit any employment variables. If employment status and certain job characteristics did not change from the previous round, as identified in the Review of Employment RJ section, the respondent was skipped through the main employment section.
This is because the Panel 21 Round 1 and 2 data are not included on this release and therefore there are no data to refer to. For such persons, the values for the variables for these skipped questions are copied from the Round 1 or 2 constructed variable on the Full Year Public Use File, depending on the round in which the job first became the current main job. Employment status was asked for all persons age 16 or older. Allowable responses to the employment status questions were as follows:. These responses were mutually exclusive.
A current main job was defined for persons who either reported that they were currently employed and identified a current main job or who reported and identified a job to return to. Therefore, job-specific information such as hourly wage exists for persons not presently working at the interview date but who have a job to return to as of the interview date.
This setting applies even in cases where there is a corresponding Round 1 CMJ. Corrections are made based on respondent comments in subsequent rounds that affect employment information previously reported. Information on whether an individual was self-employed at the current main job was obtained for all persons who reported a current main job.
Alternatively, there are several variables that are only constructed for wage earners not self-employed. These include benefits, employment characteristics, and hourly wage variables covered in the following two sections. Several variables are constructed only for individuals who report not being self-employed at their current main job.
These individuals are asked questions to indicate whether the establishment reported as the main source of employment offered any of the following benefits:. Some wage information was logically edited for consistency. Users should note that limited editing of wage variables was performed during data preparation in making the data generation process different for than in other years. In , data editing will resume and is intended to be consistent with editing that occurred through Hourly wage could be derived, as applicable, from a large number of source variables.
In the simplest case, hourly wage was reported directly by the respondent. For other persons, construction of the hourly wage was based upon salary, the time period on which the salary was based, and the number of hours worked per time period.
If the number of hours worked per time period was not available, a value of 40 hours per week was assumed, as identified in the HRHOW variable. Additionally, wages were imputed for wage earners reporting a wage range and not a specific value. For each of these persons, a value was imputed from other persons on the file who did report a specific value that fell within the reported range. Beginning in Panel 20 Round 3 and Panel 19 Round 5, CAPI prompts the respondent to confirm wages reported in the Employment Wage section if a wage amount falls outside a specified wage range.
For reasons of confidentiality, the hourly wage variables were top-coded. Also beginning with the file, all wages for a person were top-coded if any wage variable was above the top-code amount. In order to protect the confidentiality of persons across deliveries, the same top-code amount used in this Full-Year Consolidated file was also applied to the Full-Year Jobs file.
Because a person can have other jobs besides a current main job which are included in the corresponding Full Year Jobs PUF, wages at these other jobs were reviewed in the top-coding process.
In some cases for these persons, wages reported at the current main job were below the top-code amount while the wage at another job had to be top-coded. Several persons indicated that they held health insurance through a current main job in the employment section and then denied this coverage later in the interview in the health insurance section. Employment section health insurance HELD variables were edited for consistency to match the health insurance measures obtained in the health insurance section.
Responses in the employment section for health insurance held were recoded to be consistent with the variables in the health insurance section of the survey. Due to questionnaire skip patterns, the responses to health insurance offered were affected by editing the HELD variable. For example, if a person responded that health insurance was held from a current main job, the question relating to whether health insurance was offered was skipped. For persons who responded in the employment section that they held health insurance coverage and then disavowed the coverage in the health insurance section, it could not be ascertained whether they were offered a policy.
In the first round in which a person is reported as having a specific CMJ, MEPS asks if the person holds health insurance through that job.
If the person does not hold insurance, then a follow-up question is asked as to whether the person was offered insurance but declined coverage. This is to determine if there has been any change in coverage. Persons are asked these questions where. Beginning Panel 22 Round 3 and Panel 21 Round 5, where newly reported employment insurance coverage is disavowed in the Health Insurance section, follow-up questions are asked regarding whether insurance is offered to the jobholder or to other employees and whether more than one plan is available.
This information is used in a new edit process whereby responses in the Health Insurance section are transferred into the Employment or Review of Jobs sections. This change occurred partway through the delivery year and therefore was not reflected in all rounds. As a result, data were edited and released in so that all six rounds represented the same flow i. Beginning in , the data reflect the current CAPI flow and include all follow-up questions. The hours measure refers to usual hours worked per week at the current main job.
Teachers and other school personnel who work only during the school year are considered to work year round. Both variables are set on current main jobs whether a person is self-employed or not. These questions are asked only in the round the job is newly reported. Due to confidentiality concerns, this variable indicating the number of employees at the establishment has been top-coded at or more employees.
For persons who do not know the specific number of employees at their establishment, a categorical question is offered as an alternative. In these cases, a numerical value for NUMEMP is constructed using a median estimated size calculated from donors within the reported categorical range. It should also be noted that, due to a processing error for Panel 22 Round 3 and Panel 21 Round 5 in the Review of Jobs section, NUMEMP53 was automatically set to its prior round value for self-employed establishments on cases impacted by the processing error.
Beginning Panel 22 Round 3 and Panel 21 Round 5, there were changes in the categorical establishment sizes available to respondents not reporting a numerical value for number of employees. For continuity purposes, ranges used in calculating medians for these variables were not revised from previous years; they continue to conform to prior categories. Users can find more details on the new categories in the Jobs PUF. Based on verbatim text fields collected during the interview, numeric industry and occupation codes are assigned by trained coders at the Bureau of the Census.
Users should note that coding schemes are comparable for the FY through FY data files. Earlier versions of Census coding schemes were used on files prior to FY Current main jobs were initially coded at the 4-digit level for both industry and occupation. Then, for confidentiality reasons, these codes were condensed into broader groups for release on the file. This release incorporates crosswalks showing how the detailed Census industry and Census occupation codes were collapsed into the condensed codes on the file, in both HTML and PDF formats.
This value is calculated by taking the delivery year of and subtracting the age top code value of 85, then adding back 15, the age of a person in the year before entering the work force as defined in MEPS. Thus, the bottom code value will be different in each delivery year.
The latter was asked of everyone who indicated that they were not working as of the round interview date. Therefore, anyone who indicated current employment or who had a job during any of the previous or current rounds was skipped past the question identifying whether the person ever worked for pay. If a person was not employed at all during the reference period at the interview date or at any time during the reference period but was employed some time prior to the reference period, the person was asked to choose from a list the main reason he or she did not work during the reference period.
Beginning Panel 22 Round 3 and Panel 21 Round 5, a different set of response categories was available for the question used in setting NWK53 that asks why a person did not work at a job for pay in the reference period.
New values were converted into the prior schema where possible. This release contains variables indicating if a current main job changed between the third and fourth rounds for Panel 21 persons or between the first and second rounds for Panel 22 persons CHGJ and between the fourth and fifth rounds for Panel 21 persons or between the second and third rounds for Panel 22 persons CHGJ The reasons for a job change were listed in the CAPI questionnaire and a respondent was asked to choose the main reason from this list.
Beginning Panel 22 Round 3 and Panel 21 Round 5, a different set of response categories was available for the question used in setting YCHG that asks why a person left a job that continued from the previous round but ended in the current round. New values selected were converted into the prior schema where possible. First, all missing values of a given variable were imputed for Round 1. If a person remained in the same job in Round 2, and the MEPS questionnaire did not ask for updated job information i.
After pulling values forward from Round 1, any remaining missing values were imputed for Round 2. This process was repeated for Rounds For Panel 22, the imputed employment variables use constructed employment variables from Round 1, 2 and 3 data on this file.
Users who want to combine data on all five rounds for an individual in Panel 21, should use data for Rounds 1 and 2, from MEPS HC, and data for Rounds 3, 4 and 5, from the current file. Following imputation, no values of -2, -7, -8, or -9 remain on any variable. Due to skip patterns, the majority of -1s question was not asked due to skip pattern remain. The names of the imputed variables are similar to the names of the corresponding constructed variables in this file.
Both of these sets of variables provide information on the insurance coverage individuals obtain through their current main jobs. The following table provides the name of the constructed Employment variables that correspond with each imputed Employment variable. See the text for a description of possible differences in these variables. Many of the remaining variables were imputed separately for wage-earners and the self-employed for the following reasons: 1 self-employed and wage-earners were asked different sets of questions about their current main jobs; 2 even when variables were asked for both groups, the quality of the imputations was improved by specifying separate sets of class variables tailored to the wage-earner and self-employed populations.
The weighted sequential hot decking process requires class variables to impute missing values. These class variables were identified with regression models in order to identify the predictive quality of a set of variables for each variable to be imputed. The set of possible class variables, includes age, gender, region, educational attainment, industry and occupation code, and the set of variables have been consistently used to impute a given variable across panels.
As mentioned above, self-employed and wage-earners were asked different sets of questions about their current main job. These variables can be categorized into the following sets:. For reasons of confidentiality, the hourly wage variables are top-coded.
In addition to using weighted sequential hot-decking techniques, individuals who were identified as being employed by the military had their union membership status logically edited to -1 inapplicable. Due to confidentiality concerns, this variable has been top-coded at Missing value imputation is done using weighted sequential hot-decking techniques.
Analysts should note that a series of questions were added to the HX section of the questionnaire to confirm whether a person who initially did not report any comprehensive coverage during a round has insurance. If a respondent indicates that a person does have coverage, they are then asked a series of questions to determine the type of coverage e. Medicaid, Private, etc. Previously, these types of coverage were mutually exclusive. Constructed and edited variables are provided that indicate any coverage in each month of for the sources of health insurance coverage collected during the MEPS interviews Panel 21 Rounds 3 through 5 and Panel 22 Rounds 1 through 3.
Most of the insurance variables have been logically edited to address issues that arose during such reviews in Rounds 2, 3, 4, and 5. One edit to the private insurance variables corrects for a problem concerning covered benefits that occurred when respondents reported a change in any of their private health insurance plan names.
Additional edits address issues of missing data on the time period of coverage for both public and private coverage that was either reviewed or initially reported in a given round. Therefore, state-specific constructed variables that had appeared on previous public use files e. Within this age group, individuals were assigned Medicare coverage if:. Private insurance sources identify coverage in effect at any time during each month of
0コメント