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Research Report: Data Digest LawAccess 2002-2004 Report
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Data Digest LawAccess 2002-2004 Report  ( 2007 )  Cite this report

LawAccess NSW 2002-2004



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Appendices


Appendix A

Data Digest Prototype Taxonomy of Legal Inquiries

AREA OF LAW
BroadSpecificDetailed Matter Type
FAMILY ChildrenAdoptionChild support
Child protectionResidence/contact
Domestic violenceApprehended violence ordersDomestic violence
Financial mattersPropertySpouse maintenance
RelationshipsDe facto relationshipsFamily law - other
Divorce
CRIMECriminal offencesDrug offencesOffences against persons
Firearms/weaponsStreet offences
Fraud & misappropriationTheft & property offences
Justice offencesOther offences
Motor/traffic offences
Criminal processArrestPrisons
BailSentencing
FinesWarrants / extradition
Police
Victims of crimeVictims of crimeCoronial inquests
CIVILAccidents, injury & liabilityAccidentsTraffic accident - property damage
Personal injuryOther negligence/liability
Traffic accident - personal injury
Business/mediaBusinessIntellectual property
ContractsMedia law
Defamation
Credit/debtBankruptcyDebt
Credit
ConsumersBankingContracts
ConsumersInsurance
Consumer protectionSuperannuation
EmploymentContractsUnfair termination
EmploymentWorkers compensation
GovernmentAdministrative lawLocal government
EducationPensions/allowances
EnvironmentTaxation
Freedom of informationVeterans
Government
HealthHealth Mental health
HousingAnimalsNuisance
ConveyancingProperty law
FencesRetirement villages
HousingStrata title
NeighboursTenancy
Noise
Human rightsDiscrimination/EEOHuman rights
Guardianship/incapacity
Immigration/refugeesImmigrationRefugees
Legal systemComplaints about lawyersLegal services
Wills/estatesFamily provisionProbate
Power of attorneyWills
Civil (other)Civil (other)
Notes: There are 3 Broad areas of law, 20 Specific areas of law and 81 Detailed matter types.


Appendix B

Chi-square test

The chi-square test is a non-parametric test that examines whether there is a significant relationship between two or more categorical variables with data in terms of frequencies. The chi-square test is based on a cross-tabulation of the relevant variables and compares the observed frequencies in each cell of the cross-tabulation with the frequencies expected on the basis of the null hypothesis.6 All of the chi-square tests in this report were two-way, that is, conducted between two variables.

The chi-square test determines whether the relationship between the variables is significant. To determine which cells in the cross-tabulation had higher than expected frequencies, the standard residual for each cell was examined. The standard residual is the difference between the observed and expected frequency, adjusted for the scale effect of the frequencies.

Cells with a standard residual greater than or equal to two were deemed to be significantly higher than expected, and those cells with a standard residual less than or equal to minus two were deemed to be significantly lower than expected. Significantly high and low values are reported in the text.

Appendix C

To examine whether the demographic profile of service users was similar to the demographic profile of the NSW population, index of concentration (IC) measures were calculated for a number of demographic variables for each service.7

The IC indicates the concentration of inquiry activity for a particular demographic group (e.g. females) relative to their proportion of the NSW population according to the 2001 Census.8

An IC of 100 indicates that the proportion of inquiries by a particular group is identical to the proportion of this group in the population. An IC over 100 indicates that the proportion of inquiries from this group is higher than would be expected given their proportion in the population, and an IC under 100 indicates a lower proportion of inquiries than would be expected.

Calculating the Index of concentration (IC)

For each demographic variable (e.g. gender), an IC was calculated for each demographic group within that variable (e.g. men and women). For each demographic group, the IC was calculated by dividing the proportion of inquiries from that demographic group by the proportion of that group in the NSW population according to the 2001 census, and multiplying the result by 100.

The following example illustrates the calculation process.

IC for men and IC for women for inquiries to the NSW Legal Aid Information/Advice Service

Index of concentration for women = Proportion of inquiries from women ÷
Proportion of women in NSW * 100 = (54.4 / 50.6) * 100 = 107
Index of concentration for men = Proportion of inquiries from men ÷
Proportion of men in NSW * 100 = (45.6 / 49.4) * 100 = 92
In this example, the IC for women (107), which is greater than 100, indicates that women accounted for a higher proportion of inquiries than would be expected given their proportion in the NSW population.

The corresponding IC for men (92), which is under 100, indicates that men made fewer inquiries than would be expected based on their proportion of the NSW population.


For a description of the chi-square function and its test procedure, see Siegel, S. and Castellan, N.J., Nonparametric Statistics for the Behavioral Sciences, 2nd Ed., McGraw-Hill, NY, 1998.
In the Prototype, indices of concentration were calculated for gender, Indigenous status and total population within each NSW postcode.
Australian Bureau of Statistics, 2001 Census Basic Community Profile and Snapshot: New South Wales, 2001 http://www.abs.gov.au/ausstats/.

 For a description of the chi-square function and its test procedure, see Siegel, S. and Castellan, N.J., Nonparametric Statistics for the Behavioral Sciences, 2nd Ed., McGraw-Hill, NY, 1998.
 In the Prototype, indices of concentration were calculated for gender, Indigenous status and total population within each NSW postcode.
 Australian Bureau of Statistics, 2001 Census Basic Community Profile and Snapshot: New South Wales, 2001 http://www.abs.gov.au/ausstats/.


CLOSE
Cain, M 2007, Data digest reports, Law and Justice Foundation of NSW, Sydney