AppendicesJlPPENDIX 12Table 2 Distribution <strong>of</strong> reports across jurisdictions that submitted case data(N=420,216)National Analysis <strong>of</strong> Official Child Neglect and Abuse Reporting-Study methodologyAbuse/Abuse Neglect neglect Olher a TotalNJTE: The following information was provided to SOURCEBOOK staff by the American HumaneAssociation.The National Study on Child Neglect and Abuse Reporting is aproject conducted by the American Humane Association and funded bythe National Center on Child Abuse and Neglect <strong>of</strong> the U.S. Department<strong>of</strong> Health and Human Services. It began as a grant awarded to theAmerican Humane Association in 1973 to determine the feasibility <strong>of</strong>operating a national clearinghouse for child abuse and neglect reportsin order to be able to describe the national status <strong>of</strong> the childmaltreatment problem. In 1976, detailed analyses <strong>of</strong> the data werefirst available. In 1978, the American Humane Association, inconjunction with the Denver Research Institute, was awarded acontract to continue the work <strong>of</strong> the clearinghouse, to more carefullydefine the data set, and to provide training and technical assistance toStates.The rosie objectives <strong>of</strong> the clearinghouse function <strong>of</strong> the NationalStudy are as follows: (I) determine the number <strong>of</strong> families, allegedperpetrators, and involved children on <strong>of</strong>ficial reports <strong>of</strong> childmaltreatment; (2) determine the source <strong>of</strong> referral and the geographicdistribution <strong>of</strong> <strong>of</strong>ficial reports; (3) describe the characteristics <strong>of</strong>families, peroetrators, and children involved in <strong>of</strong>ficial reports and,where possible, compare then against the general population; (4)describe the response <strong>of</strong> the child protective services system to thereport; and (5) identify and describe trends in the reporting dataacross and within jurisdictions.Procedures for data collection and analysisThe data collected by the National Study are basically <strong>of</strong> twotypes: summary data, used to describe the extent <strong>of</strong> reportedmaltreatment on a national basis; and case information, used todescribe the dynamics <strong>of</strong> reporting and also the nature <strong>of</strong> what wasreported. Jurisdictions that submit case data do so voluntarily. Most<strong>of</strong>ten, participation in the National Study is integrated into thejurisdiction's child protective services management information system.During 1982, all 50 States, the District <strong>of</strong> Columbia, and threeU.S. Territories participated in the National Study to some degree.The 37 fully participating jurisdictions submitted case data by means <strong>of</strong>either nonidentifying copies <strong>of</strong> <strong>of</strong>ficial reparting forms or a data tapethat contained reporting data organized by case (Level I). Theremaining jurisdictions submitted sumnary statistics to the NationalStudy (Level 2). Table I shows the distribution <strong>of</strong> participation ateach level.Prior to inclusion, each record must meet certain minimumcriteria for completeness and must successfully pass a series <strong>of</strong> editspecifications to insure the integrity <strong>of</strong> the data base. Forms that failediting at any point are either corrected by the National Study staff orare returned to the originating participant jurisdiction for correctionand resubmittal.Potentially any jurisdictional reporting form is appropriate forcollection <strong>of</strong> National Study data. However, only those data items thatare compatible with the National Study's masterfile can be used.Jurisdictions can and do vary in terms <strong>of</strong> how milch <strong>of</strong> their data canbe actually included in the data base.Data compatability is determined through a mapping process,which essentially entails verifying with the jurisdiction that thepurpose and meaning <strong>of</strong> a particular data element on their form is thesame as that <strong>of</strong> a corresponding National Study data element. Hence,the total number <strong>of</strong> reports used in each data table varies. This is afunction <strong>of</strong> two types <strong>of</strong> data completeness: the actual number <strong>of</strong>campatible data elements and the combination <strong>of</strong> compatible dataelements that constitute a data category.Fully participatingAlaskaArizonaArkansasColoradoDelawareDistrict <strong>of</strong>ColumbiaFloridaGeorgiaHawaiiIllinoisIndianaIowaKentuckyLouisianaMaineMichiganMinnesotaMississippiTableLevelMissouriNebraskaNevadaNew HompshireNew MexicoNew YorkNarth CarolinaNcnh DakotaOhioPennsylvaniaRhode IslandSouth CarolinaTexasUtahVermontVirginiaWisconsinGuamVirgin IslandsLevel 2Summary statisticsAlabamaCaliforniaConnecti cutIdahoKansasMarylandMassachusettsMontanaNew Jer5eyOklahomaOregonPuerto RicoSouth DakotaTennesseeWashingtonWest VirginiaWyomingTable 2 shows the distribution <strong>of</strong> reports across jurisdictions thatsubmitted case data. These reports constituted the data bank used inthe analyses <strong>of</strong> case information. It is important to remind the reader,however, that although the majority <strong>of</strong> reports represent the same set<strong>of</strong> data elements, some do not. In addition, there was variation in thecompleteness <strong>of</strong> each report's data set. For these reasons, all <strong>of</strong> thereports in the !'lational Study data base were not always used to derivea given statistical summary. The "N" fer each data table varies as afunction <strong>of</strong> data element compatibility and data set completeness.Interpretation <strong>of</strong> the dataReporting on a national level has increased by 106 percent since1976. This can be attributed to a number <strong>of</strong> factors. First, it must bepointed out that it may be impossible to determine if an increase inreporting is directly related to an increase in the number <strong>of</strong> childrenwho are maltreated. The main reason for this is that there is nonationally standardized definition <strong>of</strong> maltreatment. Further, individualjurisdictions continue to modify reporting legislation to encompass newreportable conditions, e.g., emotional maltreatment. Reporting"measures" different phenomena in each jurisdiction and, in addition,what is measured in each jUrisdiction may change each year.Compounding this situation is that it is known that not all occurrences<strong>of</strong> maltreatment are reported. It is likely that the increase inreporting is due to improved accountability on the port <strong>of</strong> jurisdictionalsystems.In addition to reflecting broadened reportable conditions andimproved accountability, the increase in reporting also reflectsincreased public awareness <strong>of</strong> the child maltreatment problem, and acorresponding increase in willingness to report.It is interesting to note, however, that the magnitude <strong>of</strong> theincrease from one year to another has been steadily decreasing withtime. It is unlikely that this means that reported incidence isapproaching actual incidence for the reasons mentioned above. Rather,it probably reflects a steady approach to the limit in terms <strong>of</strong> whatchild protective services can handle.!i1\IiiIIILJII!I" I'hIiii"Alaska 0 0 0 2,649 2,649Arizona 1,452 1,530 148 4,58U 7,710Afkansas 3,073 4,607 1,074 0 8,754Colorado 0 0 0 5,446 5,446Delaware 450 698 190 928 2,266District <strong>of</strong> Columbia 0 0 0 1,878 1,878Florida 0 0 0 46,035 46,035Georgia 2,885 5,685 833 5,051 14,454Howaii 1,075 437 157 14 1,683Illinois 10,845 14,383 6,784 II 32,023Indiana 5,570 6,061 4 119 11,754Iowa 0 0 0 14,062 14,062Kentucky 3,110 4,589 0 80 7,779Louisiana 2,911 6,648 1,346 189 11,094Maine 778 1,141 851 II 2,781Michigan 4,341 8,527 298 19,153 32,319Minnesota 4,050 2,765 968 9 7,791Mississippi 0 0 0 2,813 2,813Missouri 4,181 9,858 819 13,574 28,432Nebraska 0 0 0 1,497 1,497Nevada 1,023 1,878 292 78 3,271New Hampshire 0 0 0 2,136 2,163New Mexico 1,225 1,937 384 32 3,57!lNew York 2,596 13,878 27,200 8,132 51,806Narth Carolina 0 0 0 15,830 15,830North Dakota 454 849 226 20 1,549Ohio 6,252 7,345 1,823 1,094 16,514Pennsylvania 0 0 0 13,653 13,6$:~Rhode Island 380 272 98 59 ;:'l!l"South Carolina 3,S02 7,162 728 298 II ,~~(jTexas 0 0 0 29,660 29,660Ulah 0 0 0 4,651 4,651Vermont 385 411 455 2 1,253Virginia 0 0 0 14,253 14,253Wisconsin 3,514 2,453 317 15 6,299Guam 2 3 I 0 6Virgin Islands 19 8 10 I 38Total 64,073 103,124 45,006 208,013 420,216a"Other" incudes all <strong>of</strong> those reports not clearly labelled as either "abuse""neglect," or "abuse/neglect," or those for which "type <strong>of</strong> repart" was missing ~rincompatible with National Study criteria.~659658
------------ - -APPENDIX 14APPENDIX 13Discipline, Order and Student Behavior in American High Schools-Survey methodology and definitions <strong>of</strong> terms!\oTE: The following information was excerpted from U.S. Deportment <strong>of</strong> Education, Notional Centerfor Education <strong>Statistics</strong>, Discipline, Order and Student Behavior in American High Schools(Washington, D.C.: U.S. Government Printing Office, 1982), pp. xiii-xiv, II, 12, Appendix A.The data and analyses presented in this report are from the first(1980) wove <strong>of</strong> the Notional Center for Education <strong>Statistics</strong> study, HighSchool and Beyond, a longitudinal study <strong>of</strong> U.S. high school seniors andsophomores. This study was conducted for the Notional Center forEducation <strong>Statistics</strong> by the Notional Opinion Research Center at theUniversity <strong>of</strong> Chicago.Survey methodologyThe sample was a two-stage stratified probability sample withschools within a stratum drown with a probability proportional to theirsize. Once a school was selected, up to 36 sophomores and 36 seniorswere drawn randomly from the students enrolled in each selectedschool.Several special strata were included in the sample design.Schools in these special strata were selected with probabilities higherthan those for schools in regular strata to allow for special study <strong>of</strong>certain types <strong>of</strong> schools or students. The following kinds <strong>of</strong> schoolswere oversampled: public schools with high proportions <strong>of</strong> Hispanic(Cuban, Puerto Rican, and Mexican) students; Catholic schools withhigh proportions <strong>of</strong> minority group students; public alfernative schools;private schools with high proportions <strong>of</strong> Notional Merit Scholarshipfinalists. Substitutions were mode for noncooperating schools in thosestrata where it was possible. Out <strong>of</strong> 1,122 possible schools, students at1,015 schools and school administrators from 988 schools filled outquestionnaires.In many schools the actual number <strong>of</strong> seniors and sophomores wasless than the target number for several reasons. First, in some schoolsfewer than 36 sophomores or 36 seniors were enrolled. This reducedthe number <strong>of</strong> eligible students from 73,O!J0 (72 students in each <strong>of</strong>1,015 schools) to 70,704. Second, 8,278 students were absent on thesurvey dote. Third, 1,982 students, or in some cases their parents,declined to po,ticipate, exercising their right in a voluntary survey.Substi tutions were not mode for noncooperating students. Finally,2,174 cases were deleted because they contained only very incampleteinformation. Thus, the main student sample consists <strong>of</strong> 30,030sophomores and 28,240 seniors. This represents a completion rate <strong>of</strong> 82percent: 58,270 out <strong>of</strong> the 70,704 eligible students. This report, likeothers in this series, is based on a slightly larger number (30,263sophomores and 2!J,465 seniors), since the twins <strong>of</strong> some sampledstudents were included in the original data files.Weights were calculated to reflect differential probabilities <strong>of</strong>sample selection and to adjust for non-response. Using appropriateweights yields estimotes for high school sophomores and seniors in theUnited Sta.~s and separate estimotes for schools or students classifiedin various ways, such as by geographical region or school type.The use <strong>of</strong> weighted frequencies in the computation <strong>of</strong> the tables<strong>of</strong> the report has implications for the interpretation <strong>of</strong> table entries.660Weighted and unweighted frequencies cannot be used interchangeably.Thus, for exarns on the nonmedical use <strong>of</strong> psychotherapeutics. These formsWeTe filled out by the respondent while the interviewer read thequestions aloud. On certain later answer sheets, interviewers usedtheir judgment on whether or not to <strong>of</strong>fer respondents the option <strong>of</strong>reading silently and filling the sheets out entirely on their own.Definitions <strong>of</strong> termsAlcohol-1982: beer, _wine, and liquor, like whiskey or gin. 1979:beer, wine, and whiskey, gin, other hard liquors. 1977, 1976, and 1974:beer, wine, whiskey, or anything else to drink with alcohol in it. 1972:beer, wine, hard liquor like cocktails or highballs, or on the rocks, orstraight shots. Note: the responses to the 1979 and 1982 alcoholquestions were marked on a private answer sheet rather than beingspoken to the interviewer as in 1977, 1976, 1974, and 1972.Analgesics-1982: painkilling pills thaI are usually avaiiable onlywith a Q9ct9r's prescription. 19791 pills ysed megjcqlly to relieve pain.Analgesics are divided into four subgroups: propoxyphene, otheranalgesics, methadone, and agonist/antagonist. Note. see definition for"Nonmedical experience with psychotherapeutic drugs."Current drinker-1982, 1979, 1977, 1'i76, and 1974: drank in postmonth. 1972: drank in post 7 days. Note: the response to the 1982and 1979 alcohol questions were marked on a private answer sheetrather than being spoken to the interviewer as in 1977, 1976, 1974 and1972.Current srnoker-1982, 1977, 1976, and 1974: smoked within postmonth. 1')79: smoked in past 30 days, and has smoked as many as fivepocks <strong>of</strong> cigarettes during lifetime. 1971 and 1971: smoke at the"present time."Current user <strong>of</strong> drugs-1979, 1977 and 1976: has used within thepast month. 1974: has used within the post month, and indicatesintention to use again. In practice, intention to use was dropped incomputation because virtually all past month users indicated intent touse again. 1972 and 1971: marihuana--self-designated current userswho report usage "once a month or less" as well as those users whoreport frequent usage; other drugs, has used within post manth.HolJucinagens-1982 and 1979. LSD and other hallucinogens suchas PCP or phencyclidine, mescaline, peyote, psilocybin, DMT. 1977and 1976: LSD and other hallucinogens like mescaline, peyote,psilocybin, and DMT. 1974: LSD or other hallucinogens. 1972: LSD orsomething like it, such as mescaline, psilocybin, MSA, STP.Inhalants-1979: I) gasoline or lighter flUid; 2) spray points; 3)other aerosol sprays (PAM or deodorants); 4) shoe shine, glUe, ortoluene; 5) lacquer thinner, or other point solvents; 6) amyl nitrate,'poppers'; 7) halothane, ether, a'· other anesthetics; 8) nitrous oxide,whippets; 9) locker room od"rizersj I 0) other substances used as
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