DDi SGML Data Codebook
From: http://www.icpsr.umich.edu/DDI/codebook/fps.txt

<!-- Fictional Codebook marked up with CodeBook.DTD                                         -->
<!-- Standalone version 0.2  -->
<!-- CodeBook.DTD  >

<codeBook>

<stdyDesc>
	<citation>
		<titlstmt>
			<title>ICPSR Committee's Fictional Population Study of 1996</title.
			<subtitle>An example for the DTD Mark-up</subtitle
			<commTitl>Fictional Population Study</commTitl>
			<commAbrv>FPS</commAbrv>
			<stdyNo>ICPSR SGML</stdyNo>
		</titlStmt>

		<respStmt>
			<PI>SGML Grammar Team</PI>
			<PIAffl>University of Michigan Library</PIAffl>
			<fundAg>SGML Data Codebook Committee</fundAg>
			<grantNo>ICPSR-SGML-1</grantNo>
			<collInst>ICPSR</collInst>
			<collStaff>Peter Granda</collStaff>
			<resInit>Richard Rockwell, ICPSR</resInit>
			<othId>Merill Shanks, University of California--Berkeley</othId>
		</respStmt>

		<prodStmt>
			<producer>Humanities Text Initiative, University of Michigan</producer>
			<prodDate>April, 1996</prodDate>
			<prodPlac>Ann Arbor, MI</prodPlac>
		</prodStmt>

		<distStmt>
			<dataDist>ICPSR</dataDist>
			<contact>John Brandt, jmbrandt@umich.edu</contact>
			<depositr>SGML Codebook Committee</dpositr>
			<depDate>April, 1996</depDate>
			<distDate>May, 1996</distDate>
		</distStmt>

		<serStmt>

			<serName>ICPSR Codebook Research Studies</serName>
			<serInfo>Started April 1996 to examine Codebook Alternatives</serInfo>
		</serStmt>

		<verStmt>
			<version type=release>0.9</version>
			<verResp>John Brandt</verResp>
		</verStmt>

		<biblCit>
			<bibl>
			<!-- Information in MARC or TEI Bibl DTD Format-->
			</bibl>
		</biblCit>
	</citation>

	<stdyInfo>
		<subject>
			<keyword>SGML DTD Example</keyword>
			<keyword>Codebook Alternatives</keyword>
			<keyword>Fictional Data</keyword>
			<topcClas>Library of Congress Classification: QA 76.76</topcClas>
		</subject>

		<abstInfo>
			<abstNo>1996 SRI 2345-6</abstNo>
			<absDate>June, 1996</absDate>
			<abstract>This study contains fictional Data produced to evaluate
					 the SGML Codebook DTD</abstract>
			<abstNo>Popline 96-04-3456</abstNo>
			<absDate>April, 1996</absDate>
			<abstract>The data presented by this study are fictitious.</abstract>
		</abstInfo>

		<sumDesc>
			<timePrd>November, 1995</timePrd>
			<dateColl>April 1996</dateColl>
			<timeDim>cross-sectional (one time) study</timeDim>
			<country>Shangri-La</country>
			<geogUnit>nation</geogUnit>
			<geogUnit>province</geogUnit>
			<geogUnit>city</geogUnit>
			<anlyUnit>individual</anlyUnit>
			<anlyUnit>family</anlyUnit>
			<anlyUnit>household</anlyUnit>
			<universe>5% sample of households in country</universe>
			<dataType>survey</dataType>
		</sumDesc>

		<acknowl>The committee would like to acknowledge John Price Wilkin for all 
				of his support</acknowl>

		<docStmt>
			<!-- Following materials can be marked-up with TEI's bibliographic
				elements (title, responsibility, etc.)>
			<documen>Codebook available from U of M Library</documen>
			<docLang>English</docLang>
			<codebk>Full bibl citation needed?</codebk>
			<relMat>Materials marked-up with TEI Bibliographic fields 
					citing other materials</relMat>
			<relStdy>See also 
				<titlestmt>
					<title type=article>Documenting an 
						electronic Humanities journal</title>
				</titlestmt>
				<seriesst>
					<title type=journal>Bryn Mawr Medieval Review</title>
					<issue>Volume 3, Number 12</issue>
					<date>December, 1995</date>
					<page>PP 3-35.</page>
				</seriesst>,
				<respstmt><author>John Price Wilkin</author>,
					<authoraf>University of Michigan</authoraf>
				</respstmt>
			<othRefs>Bibliographic Refernces to other materials</othRefs>
		</docStmt>
	</stdyinfo>

	<method>
		<dataColl>
			<timeMeth> cross-sectional (one time) study</timeMeth>
			<frequenc>once</frequenc>
			<sampProc> stratified random sample of 5% of all house holds</sampProc>
			<deviat>Oversample of left-handed agnostics - 10% of total pop</deviat>
			<collMode>Telephone interview</collMode>
			<resInstru>Survey with all questions asked all respondents</resInstru>
			<sources>
				<dataSrc>  </dataSrc>
				<srcOrig>  </srcOrig>
				<srcChar>  <srcChar>
				<srcDocu>  <srcDocu>
				<collSitu>All respondents in sample population called once.  
					10% non-response rate.  Non-respondents called-
					back.</collSitu>
				<actAdjust>Non-respondent numbers checked with phone
					 company.</actAdjust>
				<oiConOps> <oiConOps>
				<arcConOp> <arcConOps>
				<weight > </weight>
			</sources>
		</dataColl>

		<erroNote level=study> </erroNote>

		<anlyInfo>
			<dataAppr>Data set is fictious and unusable.</dataAppr>
			<results>Analysis indicate few significantdifferences between data from
				different cities. </results>
			<addArea>Neighborhoods should be examined to see if city to city
				similarities hold up on a lower level</addArea>
		</anlyInfo>

		<stdyStat>The Fictitious Study is complete - there are no plans to update 
				it</stdyStat>
	</method>

	<access>
		<setAvail media=ASCII, format=hierarchical>
			<origarch>ICPSR</orgigarch>
			<collnote>This study is fictious and not recommended for 
				research</collnot>
			<collext>Entire collection is available via ICPSR.</collext>
			<stdycomp> Entire collection is available via ICPSR.</stdycomp>
			<nofiles>Study is stored in one data file, one documentation 
				file</nofiles>
		</setAvail>
		
		<dataUse>
			<restrict>Data are restricted to committee members only.</restrict>
			<accAuth>John Brandt<P>
				University of Michigan Library<P>
				Ann Arbor, MI, 48109<P>
				Phone: 313-936-2932<P>
			</accAuth>
			<citreq>Study must be cited in bilibgraphy of research publications using
				the study for analyse</citreq>
			<disclaim>ICPSR and the SGML bear no responsibilty for the use of 
				these data.</disclaim>
			<anlyCond>Does this belong here or under methodology?  See DDA 
				def</anlyCond>
			<reanlys> Does this belong here or under methodology?  See DDA 
				def</reanlys>
		</dataUse>
	</access>
	<othMater >
		<matLabel>fspart</matLabel>
		<matText>This study is totally fictitious, and was designed simply 
			as an example to use for the SGML Codebook DTD.</matText>
	</othMater>
</stdydesc>

<datafile>

	<filedesc>
		<fileName>fsp.dat</filename>
		<fileCont>fsp.dat contains all data from the fsp.</filecont>
		<fileStruc>hierarchical</filestruct>
			(This coud be an attribute)
		<fileType>numercial</fileType>
			(This coud be an attribute)
		<filePlace>produced by PI and available in archive</filePlace>
		<procchck>CONCHK.PR = 
			Consistency checks performed by Principal Investigator.</prochck>
		<dimensions>
			<LRECL>Household - 110</LRECL>
			<LRECL>Family - 35</LRECL>
			<LRECL>Individual - 48</LRECL>
			<blockSz>
			<caseCnt>inap</casecnt>
			<varCount>Houshold - 53</varCount>
			<varCount>Family - 53</varCount>
			<varCount>Individual - 53</varCount>
			<recpCase>inap</recpCase>
		</dimensions>
	</filedesc>

What about:
     software
     fileType
     byteSize
     wgts(Y/N)

</datafile>

< dataDscr>
	<Question ?>
	<varGrp ?>
	< record>
		<label>Household</label>
		< varGrp>
			<label>Income</label>
			<text>Variables related to income.</text>
			<varrefs idref=varh1, idref=varh3>
		</varGrp>
		<Question ?>
		<var 
			name=income
			ID=varh1
			wgt=N, 
			VGRef=income
			MRGrp=N
			qstref=QID1
			type=int
			dcml=0
			intrvl=discrete>

			< plc
				location=1
				width=5>
			<label>Household Income</label>
			<range
				polarity=P
				clusion=I
				relation=GE>00000</range>
			<range
				polarity=P
				clusion=I
				relation=LE>99999</range>
				
			< qstn id=QID1, varef=varh1>
				<preQTxt>Please answer the following questions to the best of 
						your ability:
				<qstnLit>What is your Household income?</qstnLit>
				<postQTxt>Thank you!</postQTxt>
			< universe
				clusion=I>All Households</universe>
			< varTxt>
				<ivuInstr>Feel free to remind respondent information
					is confidential</ivuInstr>
				<codInstr>List everything over $99,000 as 99888<P>
					List refuse to answer as 99999</codInstr>
			< catgry>
				<catValue>99888</catValue>
				<catText>$99,000 and over</catText>
				<catStat clusion=I, type=fpercent>5</catStat>
				<catStat clusion=I, type=freq>3435</catStat>
			</catgry>
			< catgry>
				<catValue>99999</catValue>
				<catText>Missing Data</catText>
				<catValue>MD<catValue>
				<catStat clusion=I, type=fpercent>2</catStat>
				<catStat clusion=I, type=freq>1425</catStat>
			</catgry>
		</var>
		<var 
			name=size
			ID=varh2
			wgt=N
			MRGrp=N
			IDREF=QID3
			type=int
			dcml=0
			intrvl=discrete>

			< plc
				location=6
				width=2>
			<label>Household Size</label>
			<range
				polarity=P
				clusion=I
				relation=GE>00</range>
			<range
				polarity=P
				clusion=I
				relation=LE>99</range>
				
			< qstn id=qid3, varref=varh2>
				<qstnLit>How many people live in your household?</qstnLit>
			< universe
				clusion=I>All Households</universe>
			< varTxt>
				<codInstr>List everything over 10 as 11<P>
					List refuse to answer as 99</codInstr>
			< catgry>
				<catValue>11</catValue>
				<catText>11 and over</catText>
				<catStat clusion=I, type=fpercent>7</catStat>
				<catStat clusion=I, type=freq>4868</catStat>
			</catgry>
			< catgry>
				<catValue>99</catValue>
				<catText>Missing Data</catText>
				<catValue>MD<catValue>
				<catStat clusion=I, type=fpercent>3</catStat>
				<catStat clusion=I, type=freq>2125</catStat>
			</catgry>
			< edInstr>Editing Instructions</edInstr>
			< errComm>Error Comments</errComm>
			< userNote resp=analyst>User Notes</userNote>
		</var>
	</record>
	< record>
		<label>Family</label>
		< varGrp id=fincome>
			<label>FIncome</label>
			<text>Variables related to income.</text>
			<varrefs idref=varf1, idref=varf3>
		</varGrp>
		<Question ?>
		<var 
			name=fincome
			ID=varf1
			wgt=N, 
			VGRef=fincome
			MRGrp=N
			IDREF=QID2
			type=int
			dcml=0
			intrvl=discrete>

			< plc
				location=1
				width=5>
			<label>Household Income</label>
			<range
				polarity=P
				clusion=I
				relation=GE>00000</range>
			<range
				polarity=P
				clusion=I
				relation=LE>99999</range>
				
			< qstn ID=qid2, IDREF=varf3>
				<qstnLit>What is your Family income?</qstnLit>
			< universe
				clusion=I>All Families</universe>
			< varTxt>
				<ivuInstr>Feel free to remind respondent information
					is confidential</ivuInstr>
				<codInstr>List everything over $99,000 as 99888<P>
					List refuse to answer as 99999</codInstr>
			< catgry>
				<catValue>99888</catValue>
				<catText>$99,000 and over</catText>
				<catStat clusion=I, type=fpercent>5</catStat>
				<catStat clusion=I, type=freq>3435</catStat>
			</catgry>
			< catgry>
				<catValue>99999</catValue>
				<catText>Missing Data</catText>
				<catValue>MD<catValue>
				<catStat clusion=I, type=fpercent>2</catStat>
				<catStat clusion=I, type=freq>1425</catStat>
			</catgry>
		</var>
		<var 
			name=size
			ID=varf2
			wgt=N
			MRGrp=N
			IDREF=QID4
			type=int
			dcml=0
			intrvl=discrete>

			< plc
				location=6
				width=2>
			<label>Household Size</label>
			<range
				polarity=P
				clusion=I
				relation=GE>00</range>
			<range
				polarity=P
				clusion=I
				relation=LE>99</range>
				
			< qstn id=qid4, idref=varf2>
				<qstnLit>How many people live in your household?</qstnLit>
			< universe
				clusion=I>All Households</universe>
			< varTxt>
				<codInstr>List everything over 10 as 11<P>
					List refuse to answer as 99</codInstr>
			< catgry>
				<catValue>11</catValue>
				<catText>11 and over</catText>
				<catStat clusion=I, type=fpercent>7</catStat>
				<catStat clusion=I, type=freq>4868</catStat>
			</catgry>
			< catgry>
				<catValue>99</catValue>
				<catText>Missing Data</catText>
				<catValue>MD<catValue>
				<catStat clusion=I, type=fpercent>3</catStat>
				<catStat clusion=I, type=freq>2125</catStat>
			</catgry>
			< edInstr>Editing Instructions</edInstr>
			< errComm>Error Comments</errComm>
			< userNote resp=analyst>User Notes</userNote>
		</var>
	</record>
</datadesc>