In this paper log-linear and related methods are applied to reanalyze the quit — stay characteristics of employees at a pulp and paper mill located in Kitimat, British Columbia, between 1970 and 1974. These characteristics had been examined solely on the basis of chi-square and Cramer's V. Our reanalysis, which is based on Aitkin's simultaneous test procedure, residual analysis, and logit models, gives greater precision to previously suggested relationships and reveals new findings. In particular, in this paper the nature of the association among various employee characteristics and quit rates are defined, and the original study is corrected by revealing the relative importance of employment histories and marital status.
Get full access to this article
View all access options for this article.
References
1.
AgrestiA, 1984Analysis of Ordinal Categorical Data (John Wiley, New York)
2.
AldermanNGoddardJ BThwaitesA TNashP A, 1982, “Regional and urban perspectives on industrial innovation: Applications of logit and cluster analysis to industrial survey data”, DP-42, Centre for Urban and Regional Development Studies, University of Newcastle upon Tyne, Newcastle upon Tyne, England
3.
AitkinM, 1978, “The analysis of unbalanced cross-classifications”Journal of the Royal Statistical Society A141195–223
4.
AitkinM, 1979, “A simultaneous test procedure for contingency table models”Applied Statistics28233–242
5.
AitkinM, 1980, “A note on the selection of log-linear models”Biometrics36173–178
6.
AldrichJ HNelsonF D, 1984Linear Probability, Logit and Probit Models (Sage, Beverly Hills, CA)
7.
AldrichJ HNelsonF D, 1986, “Logit and probit models for multivariate analysis with qualitative dependent variables”, in New Tools for Social Scientists: Advances and Applications in Research Methods Eds BerryW DLewis-BeckM S (Sage, Beverly Hills, CA) pp 115–155
8.
BakerE JLeeY, 1975, “Alternative analyses of geographical contingency tables”The Professional Geographer27179–188
9.
BenedettiJ KBrownM B, 1978, “Strategies for the selection of log-linear models”Biometrics34680–696
BerksonJ, 1944, “Application of the logistic function to bio-assay”Journal of the American Statistical Association39357–365
12.
BishopY M M, 1969, “Full contingency tables, logits, and split contingency tables”Biometrics25383–399
13.
BishopY M MFienbergS EHollandP W, 1975Discrete Multivariate Analysis: Theory and Practice (MIT Press, Cambridge, MA)
14.
BrouwerFNijkampP, 1984, “Linear logit models for categorical data in spatial mobility analysis”Economic Geography60102–110
15.
BrownM B, 1976, “Screening effects in multidimensional contingency tables”Applied Statistics2537–46
16.
BrownM B, 1983, “Frequency tables P4F”, in BMDP Statistical Software Ed. DixonW J (University of California Press, Berkeley, CA) pp 143–206
17.
BursteinH, 1973, “Close approximations of percentage points of chi-square distribution and Poisson confidence limits”Journal of the American Statistical Association68581–584
18.
DawsonJ AFindlayA MSparksL, 1986, “Defining the local labour market: An application of log-linear modelling to the analysis of labour catchment areas”Environment and Planning A181237–1248
19.
DillonW RGoldsteinM, 1984Multivariate Analysis: Methods and Applications (John Wiley, New York)
20.
EverittB S, 1977The Analysis of Contingency Tables (Routledge, Chapman and Hall, London)
21.
FienbergS E, 1977The Analysis of Cross-classified Categorical Data (MIT Press, Cambridge)
22.
FingletonB, 1981, “Log-linear modelling of geographical contingency tables”Environment and Planning A131539–1551
23.
FingletonB, 1984Models of Category Counts (Cambridge University Press, Cambridge)
24.
FoxJ, 1984Linear Statistical Models and Related Methods with Application to Social Research (John Wiley, New York)
25.
GoodmanL A, 1970, “The multivariate analysis of cross-classified data: Interactions among multiple classification”Journal of the American Statistical Association65226–256
26.
GoodmanL A, 1971a, “The analysis of multidimensional contingency tables: Stepwise procedures and direct estimation methods for building models for multiple classification”Technometrics1333–61
27.
GoodmanL A, 1971b, “Partioning of chi-square analysis of marginal contingency tables and estimation of expected frequencies in multidimensional contingency tables”Journal of the American Statistical Association66339–344
28.
GoodmanL A, 1973, “Guided and unguided methods for the selection of models for a set of multidimensional contingency tables”Journal of the American Statistical Association68165–175
29.
GoodmanL A, 1978Analyzing Qualitative/Categorical Data (Abt Books, Cambridge, MA)
30.
GoodmanL A, 1984The Analysis of Cross-classified Data having Ordered Categories (Harvard University Press, Cambridge, MA)
31.
HabermanS J, 1973, “The analysis of residuals in cross-classified tables”Biometrics29205–220
32.
HabermanS J, 1978Analysis of Qualitative Data: Introductory Topics. Volume 1 (Academic Press, New York)
33.
HarterH L, 1964, “A new table of percentage points of chi-square distribution”Biometrika51231–239
34.
HayterR, 1979, “Labour supply and resource-based manufacturing in isolated communities: The experience of pulp and paper in North-central British Columbia”Geoforum10163–177
35.
HoaglinD C, 1977, “Direct approximations for chi-squared percentage points”Journal of the American Statistical Association72508–515
36.
KennedyJ J, 1983Analyzing Qualitative Data: An Introductory Log-linear Analysis of Behavioural Research (Praeger, New York)
37.
KnokeDBurkeP J, 1980Log-linear Models (Sage, Beverly Hills, CA)
38.
KuH HKullbackS, 1968, “Interaction in multidimensional contingency tables: An information theoretic approach”Journal of Research of the National Bureau of Standards: Section B7159–199
39.
KuH HKullbackS, 1974, “Loglinear models in contingency table analyses”American Statistician28115–122
40.
KuH HVarnerRKullbackS, 1971, “On the analysis of multidimensional contingency tables”Journal of the American Statistical Association6655–64
41.
KullbackS, 1973, “Estimating and testing linear hypothesis on parameters in the log-linear model”Biometrische Zeitschrift15371–388
42.
McCaffertyDHallF L, 1982, “The use of multinomial logit analysis to model the choice of time to travel”Economic Geography58236–246
43.
McFaddenD, 1973, “Conditional logit analysis of qualitative choice behaviour”, in Frontiers in Econometrics Ed. ZarembkaP (Academic Press, New York) pp 105–142
44.
McFaddenD, 1974, “The measurement of urban travel demand”Journal of Public Economics3303–328
45.
ManskiC FMcFaddenD, 1981Structural Analysis of Discrete Data with Econometric Applications (MIT Press, Cambridge, MA)
46.
ReynoldsH T, 1977The Analysis of Cross-classifications (The Free Press, New York)
47.
SayerAMorganK, 1985, “A modern industry in a declining region: Links between method, theory and policy”Politics and Methods: Contrasting Studies in Industrial Geography Eds MasseyDMeeganR (Methuen, Andover, Hants) pp 147–168
48.
SeniorM L, 1987, “The establishment of family planning clinics in South-west Nigeria by 1970: Analyses using logit and Poisson regression”Area19237–245
49.
StapletonC M, 1980, “Limitations of log-linear models in geography”Institute of British Geographers Transactions New Series5502–508
50.
StapletonC M, 1982, “An approach to evaluating categorical hypotheses”Institute of British Geographers Transactions New Series771–87
51.
TrainK, 1986Qualitative Choice Analysis Theory, Econometrics, and an Application to Automobile Demand (MIT Press, Cambridge, MA)
52.
UptonG J G, 1978The Analysis of Cross-tabulated Data (John Wiley, Chichester, Sussex)
53.
UptonG, 1980, “Contingency table analysis: Log-linear models”Quality and Quantity14155–180
UptonG J G, 1986, “Cross-classified data”, in New Developments in Statistics for Psychology and the Social Sciences Ed. LovieA D (The British Psychological Society and Methuen, Andover, Hants) pp 70–92
56.
UptonG J GFingletonB, 1979, “Log-linear models in geography”Institute of British Geographers Transactions. New Series4103–115
57.
WrigleyN, 1976An Introduction to the Use of Logit Models in Geography CATMOG 10 (Geo Abstracts, Norwich)
58.
WrigleyN, 1979, “Developments in the statistical analysis of categorical data”Progress in Human Geography3316–355
59.
WrigleyN, 1980a, “Categorical data, repeated-measurement, research designs and regional industrial surveys”Regional Studies14445–471
60.
WrigleyN, 1980b, “Paired-comparison experiment and logit models: A review and illustration of some recent developments”Environment and Planning A1221–40
61.
WrigleyN, 1982, “Quantitative methods: Developments in discrete choice modelling”Progress in Human Geography6547–562
62.
WrigleyN, 1985Categorical Data Analysis for Geographers and Environmental Scientists (Longman, Harlow, Essex)
