children out of school in america - University of Tennessee Digital ...

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to $40,000 homes as well as more temporary residences such as shabby, crowded trailer parks. There is also a section of inexpensive cinder block houses, each with a standing heater. AFSC staff monitored during December 1973 and January 1974. Every fourth household was visited. b. Precincts I and 26B Precincts I and 26B are non-continguous areas with a homogenous, black, low-income population. (Because of their similar socio-economic characteristics, these two areas were combined for the purpose of data analysis.) There are many small farms which are worked by their owners and a few areas of new government subsidized homes. People appear to live off the land and those who are employed do housework or construction work or are professional people. Many residents receive some sort of financial assistance-AFDC, social security retirement or disability, pensions, etc. Every fourth household was monitored by AFSC staff during September 1973. WASHINGTON, D.C. Census Tract 74.04 CDF wanted to survey a low-income black population in a large, non-southern urban area. We chose this 99 percent black Census tract in Washington, D.C. Located in far southeast Washington, D.C. with a majority of the homes public housing projects, Census Tract 74.04 has a median family income of $5,963 and 34 percent of the families with incomes below the poverty level. There are over 2,000 persons under 18. Aside from the grassless two-story housing projects, some of which have been renovated, there are lower-middle- to middle-income apartment complexes with young families and a few single family homes. CDF staff monitored every third household during late February and early March 1974. Out of School Data Source: CDF Survey Questionnaire; Children in Household Chart, Questionnaire on Child Not Enrolled in School (Appendix B, Tables I-III), and Family/Household Questionnaire (Appendix G). Procedures: Survey questionnaires were first reviewed and edited to determine if the child out of school met our definitional criteria in terms of age, 162 length of time out and so on. All data were summarized by area initially; areas were combined to find the survey totals. The numbers of school-age children in the survey were computed from the Household Chart, and children out of school were totaled first, for the three-consecutive month period, and secondly, for those out 45 or more days. Then detailed information on the outof-school children was summarized and rates computed. Children out of school ----------- = % out of school Total school-age children Detailed data summarized for out-of-school children included information on: -the reasons given for children out of school (Chapter 1, Table I) -racial and ethnic characteristics by age groupings (Chapter 2, Tables VIII, IX and X) and by sex (Appendix F, Tables, I, II, and III) -family characteristics such as educational attainment of head of household, poverty status as indicated by AFDC and other public assistance as sole or partial support, femaleheaded households. (Appendix G and H). Suspension Data Source: CDF Survey Questionnaire; School Expulsions, Suspensions and Disciplinary Transfers (Appendix E, Tables 1 and 2), and Family/Household Questionnaire (Appendix G). Procedures: We were also interested in gathering data on absences due to disciplinary actions. We found some children suspended who also met the criteria for being counted in our out-of-school data. These were counted in both summaries. Data on children who had been suspended during the survey analysis period was collected and summarized from our survey following procedures similar to those used in studying children out of school. Detailed data was computed on children suspended including: -reasons for suspension (Chapter 5, Table I) -social and ethnic characteristics by sex for all children and for secondary children (Appendix T, Table I and Table II)

-secondary school children by sex and race; frequency and duration (Appendix T, Table III and Table IV) -family characteristics such as poverty indicated by AFDC and other public assistance as sole or partial support, educational attainment of head of household, and female-headed households (Chapter 5, Table VII). III. OCR Data COF Staff extracted from the OCR Reports raw figures on the number of students, by race and ethnic group, enrolled in schools, the number enrolled in various types of special education classes and the number of students suspended during the 1972-1973 school year. No information was included in the reports on file in the OCR office (at 4th Street and Independence Avenue, S.W., Washington, D.C. 20202) on the percentages of students, by race and ethnic group enrolled in the school districts, enrolled in various types of special education programs or suspended at least once. These computations were performed by COF from the raw figures extracted from the OCR reports. OCR data on special needs (EMR) was analyzed for Alabama, Arkansas, Georgia, Mississippi and South Carolina, (Chapter 4, Table I and Appendix M, Tables I-V). School discipline data was analyzed for Arkansas, Maryland, New Jersey, Ohio and South Carolina, (Chapter 5, Tables II, III and V and Appendix R, Tables I-V). In addition, we analyzed suspension (Appendix S, Appendix T, Tables I and II) and special education OCR data (Appendix N, Table I) on 15 of the 17 districts where we surveyed. IV. Other Information (Chapter 3, Table II; Appendix N, Tables II and III; and Appendix U). COF staff also collected information on school programs, policies and practices in 17 school districts where the children in our survey went to school. We interviewed teachers, counselors and officials, asking primarily about special education, discipline and other policies which could exclude children from school. V. Sample Questionnaire All monitors used an identical questionnaire prepared by CDF. They also received an accompany- ing packet of materials which included an instruction sheet, a memorandum explaining the basis for the report, a set of definitions of terms, and a guide to reasons why children might be out of school, in special schools, or in special programs. All monitors participated in workshops conducted by CDF staff members before beginning the survey. All school official interviews were conducted by CDF and AFSC staff working from much more detailed material. In many cases, monitors recorded surnames of persons interviewed. Most often they recorded just the family relationship of the person interviewed if an adult ("mother," "father," etc.) or the first name if a child was interviewed. Addresses were almost always recorded. On the "children in household chart" as well as the individual sheets for children with problems, first names of children were recorded so that we would not confuse each child referred to when we later analyzed the questionnaries. Because of this identifying information, individual questionnaires will not be released to any group or individual outside the·Children's Oefense Fund. Following are the list of definitions and the questionnaire. They are included in their original form with only the empty spaces for monitors to write in omitted. If we were to do this study again, we would clarify and revise the questionnaire. For example, we would probably delete references to "exclusion" and "non-enrollment" which are somewhat misleading terms and substitute the term "out of schooL" We also would change the first page of the questionnaire labeled "Monitor Sheet H" to reflect changes and instructions discussed with all monitors in the workshops: --change "H" to "A" --change title to reflect that the survey covered children with special needs in school as well as children out of school -add "and ethnicity" after "Race" -

to $40,000 homes as well as more temporary residences<br />

such as shabby, crowded trailer parks. There<br />

is also a section <strong>of</strong> <strong>in</strong>expensive c<strong>in</strong>der block houses,<br />

each with a stand<strong>in</strong>g heater. AFSC staff monitored<br />

dur<strong>in</strong>g December 1973 and January 1974. Every<br />

fourth household was visited.<br />

b. Prec<strong>in</strong>cts I and 26B<br />

Prec<strong>in</strong>cts I and 26B are non-cont<strong>in</strong>guous areas<br />

with a homogenous, black, low-<strong>in</strong>come population.<br />

(Because <strong>of</strong> their similar socio-economic characteristics,<br />

these two areas were comb<strong>in</strong>ed for the purpose<br />

<strong>of</strong> data analysis.) There are many small farms which<br />

are worked by their owners and a few areas <strong>of</strong> new<br />

government subsidized homes. People appear to<br />

live <strong>of</strong>f the land and those who are employed do<br />

housework or construction work or are pr<strong>of</strong>essional<br />

people. Many residents receive some sort <strong>of</strong> f<strong>in</strong>ancial<br />

assistance-AFDC, social security retirement or<br />

disability, pensions, etc. Every fourth household was<br />

monitored by AFSC staff dur<strong>in</strong>g September 1973.<br />

WASHINGTON, D.C.<br />

Census Tract 74.04<br />

CDF wanted to survey a low-<strong>in</strong>come black population<br />

<strong>in</strong> a large, non-s<strong>out</strong>hern urban area. We<br />

chose this 99 percent black Census tract <strong>in</strong> Wash<strong>in</strong>gton,<br />

D.C. Located <strong>in</strong> far s<strong>out</strong>heast Wash<strong>in</strong>gton, D.C.<br />

with a majority <strong>of</strong> the homes public hous<strong>in</strong>g projects,<br />

Census Tract 74.04 has a median family <strong>in</strong>come <strong>of</strong><br />

$5,963 and 34 percent <strong>of</strong> the families with <strong>in</strong>comes<br />

below the poverty level. There are over 2,000 persons<br />

under 18. Aside from the grassless two-story<br />

hous<strong>in</strong>g projects, some <strong>of</strong> which have been renovated,<br />

there are lower-middle- to middle-<strong>in</strong>come<br />

apartment complexes with young families and a few<br />

s<strong>in</strong>gle family homes. CDF staff monitored every<br />

third household dur<strong>in</strong>g late February and early<br />

March 1974.<br />

Out <strong>of</strong> School Data<br />

Source: CDF Survey Questionnaire; Children <strong>in</strong><br />

Household Chart, Questionnaire on Child Not Enrolled<br />

<strong>in</strong> School (Appendix B, Tables I-III), and<br />

Family/Household Questionnaire (Appendix G).<br />

Procedures: Survey questionnaires were first reviewed<br />

and edited to determ<strong>in</strong>e if the child <strong>out</strong> <strong>of</strong><br />

<strong>school</strong> met our def<strong>in</strong>itional criteria <strong>in</strong> terms <strong>of</strong> age,<br />

162<br />

length <strong>of</strong> time <strong>out</strong> and so on.<br />

All data were summarized by area <strong>in</strong>itially; areas<br />

were comb<strong>in</strong>ed to f<strong>in</strong>d the survey totals. The numbers<br />

<strong>of</strong> <strong>school</strong>-age <strong>children</strong> <strong>in</strong> the survey were computed<br />

from the Household Chart, and <strong>children</strong> <strong>out</strong><br />

<strong>of</strong> <strong>school</strong> were totaled first, for the three-consecutive<br />

month period, and secondly, for those <strong>out</strong> 45 or<br />

more days. Then detailed <strong>in</strong>formation on the <strong>out</strong><strong>of</strong>-<strong>school</strong><br />

<strong>children</strong> was summarized and rates computed.<br />

Children <strong>out</strong> <strong>of</strong> <strong>school</strong><br />

----------- = % <strong>out</strong> <strong>of</strong> <strong>school</strong><br />

Total <strong>school</strong>-age <strong>children</strong><br />

Detailed data summarized for <strong>out</strong>-<strong>of</strong>-<strong>school</strong> <strong>children</strong><br />

<strong>in</strong>cluded <strong>in</strong>formation on:<br />

-the reasons given for <strong>children</strong> <strong>out</strong> <strong>of</strong> <strong>school</strong><br />

(Chapter 1, Table I)<br />

-racial and ethnic characteristics by age group<strong>in</strong>gs<br />

(Chapter 2, Tables VIII, IX and X) and<br />

by sex (Appendix F, Tables, I, II, and III)<br />

-family characteristics such as educational atta<strong>in</strong>ment<br />

<strong>of</strong> head <strong>of</strong> household, poverty status<br />

as <strong>in</strong>dicated by AFDC and other public assistance<br />

as sole or partial support, femaleheaded<br />

households. (Appendix G and H).<br />

Suspension Data<br />

Source: CDF Survey Questionnaire; School Expulsions,<br />

Suspensions and Discipl<strong>in</strong>ary Transfers<br />

(Appendix E, Tables 1 and 2), and Family/Household<br />

Questionnaire (Appendix G).<br />

Procedures: We were also <strong>in</strong>terested <strong>in</strong> gather<strong>in</strong>g<br />

data on absences due to discipl<strong>in</strong>ary actions. We<br />

found some <strong>children</strong> suspended who also met the<br />

criteria for be<strong>in</strong>g counted <strong>in</strong> our <strong>out</strong>-<strong>of</strong>-<strong>school</strong> data.<br />

These were counted <strong>in</strong> both summaries.<br />

Data on <strong>children</strong> who had been suspended dur<strong>in</strong>g<br />

the survey analysis period was collected and summarized<br />

from our survey follow<strong>in</strong>g procedures similar<br />

to those used <strong>in</strong> study<strong>in</strong>g <strong>children</strong> <strong>out</strong> <strong>of</strong> <strong>school</strong>.<br />

Detailed data was computed on <strong>children</strong> suspended<br />

<strong>in</strong>clud<strong>in</strong>g:<br />

-reasons for suspension (Chapter 5, Table I)<br />

-social and ethnic characteristics by sex for all<br />

<strong>children</strong> and for secondary <strong>children</strong> (Appendix<br />

T, Table I and Table II)

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