Comments on neural networks

Sociological Methods and Research

Volumn 28, Issue 4, 2000, Pages 425-453

  Paik, Haejung ^a  

^a LONDON BUSINESS SCHOOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0034341027     PISSN: 00491241     EISSN: None     Source Type: Journal    
DOI: 10.1177/0049124100028004002     Document Type: Review

References (54)

1. Anderer, P., B. Saletu, B. Klöppel, H. V. Semlitsch, and H. Werner. 1994. "Discrimination Between Demented Patients and Normals Based on Topographic EEG Slow Wave Activity: Comparison Between Z Statistics, Discriminant Analysis and Artificial Neural Network Classifiers." Electroencephalography and Clinical Neurophysiology 91:108-17.
2. Anson, O. and S. Sagy. 1995. "Marital Violence: Comparing Women in Violent and Nonviolent Unions." Human Relations 48:285-305.
3. Artyushkin, V. F., A. V. Belyayev, Y. M. Sandler, and V. M. Sergeyev. 1990. "Neural Network Ensembles as Models of Interdependence on Collective Behavior." Mathematical Social Sciences 19:167-77.
4. Azari, N. P., P. Pietrini, B. Horwitz, and K. D. Pettigrew. 1993. "Individual Differences in Cerebral Metabolic Patterns During Pharmacotherapy in Obsessive-Compulsive Disorder: A Multiple Regression/Discriminant Analysis of Positron Emission Tomographic Data." Biological Psychiatry 34:798-809.
5. Bernard, L. C., M. J. McGrath, and W. Houston. 1993. "Discriminating Between Simulated Malingering and Closed Head Injury on the Wechsler Memory Scale - Revised." Archives of Clinical Neuropsychology 8:539-51.
6. Bishop, Christopher M. 1996. Neural Networks for Pattern Recognition. Oxford, UK: Clarendon.
7. Boone, S. L. 1991. "Aggression in African-American Boys: A Discriminant Analysis." Genetic, Social, and General Psychology Monographs 117:203-28.
8. Carley, Kathleen M. and David M. Svoboda. 1996. "Modeling Organizational Adaptation as a Simulated Annealing Process." Sociological Methods & Research 25:138-68.
9. Cherry, A. 1993. "Combining Cluster and Discriminant Analysis to Develop a Social Bond Typology of Runaway Youth." Research on Social Work Practice 3:175-90.
10. Christensen, L. and K. Duncan. 1995. "Distinguishing Depressed From Nondepressed Individuals Using Energy and Psychosocial Variables." Journal of Consulting and Clinical Psychology 63:495-98.
11. Churchland, Patricia S. and Terrence J. Sejnowski. 1992. The Computational Brain. Cambridge, MA: MIT Press.
12. Collins, E., S. Ghosh, and S. Scofield. 1988. Risk Analysis: Darpa Neural Network Study. Fairfax, VA: AFCEA International Press.
13. Dannehl, C. R. and A. J. Groth. 1992. "Communist and Non-Communist Europe: Functional Differentiation, 1970-1985." Social Indicators Research 27:59-87.
14. Draper, N. R. and H. Smith. 1981. Applied Regression Analysis. New York: John Wiley & Sons.
15. Efron, B. and R. J. Tibshirani. 1993. An Introduction to the Bootstrap. London: Chapman & Hall.
16. Evans, T. David, Francis T. Cullen, V. S. Burton, Jr., R. G. Dunaway, G. L. Payne, and S. R. Kethineni. 1996. "Religion, Social Bonds, and Delinquency." Deviant Behavior: An Interdisciplinary Journal 17:43-70.
17. Famularo, R., T. Fenton, R. Kinscherff, R. Barnum, S. Bolduc, and D. Bunschaft. 1992. "Differences in Neuropsychological and Academic Achievement Between Adolescent Delinquents and Status Offenders." American Journal of Psychiatry 149:1252-57.
18. Garson, David G. 1991. "A Comparison of Neural Network and Expert Systems Algorithms With Common Multivariate Procedures for Analysis of Social Science Data." Social Science Computer Review 9:399-434.
19. Geman, S., E. Biensenstock, and R. Doursat. 1992. "Neural Networks and the Bias/Variance Dilemma." Neural Computation 4:1-58.
20. Goodman, L. A. and W. Kruskal. 1959. "Measures of Association for Cross Classifications." Journal of the American Statistical Association 54:123-63.
21. Hammond, S. M. and G. A. Lienert. 1995. "Modified Phi Correlation for the Multivariate Analysis of Ordinally Scaled Variables." Educational and Psychological Measurement 55:225-36.
22. Hardgrave, B. C., R. L. Wilson, and K. A. Walstrom. 1994. "Predicting Graduate Student Success: A Comparison of Neural Networks and Traditional Techniques." Computers and Operation Research 21:249-64.
23. Hays, W. L. 1973. Statistics for the Social Sciences. 2d ed. New York: Holt, Rinehart & Winston.
24. Hornik, K., M. Stinchcombe, and H. White. 1989. "Multilayer Feedforward Networks Are Universal Approximators." Neural Networks 4:251-57.
25. Huberty, C. A. 1994. Applied Discriminant Analysis. New York: John Wiley & Sons.
26. Kendall-Tackett, K. A. 1996. "The Effects of Neglect on Academic Achievement and Disciplinary Problems: A Developmental Perspective." Child Abuse and Neglect 20:161-69.
27. Lachenbruch, P. A. 1975. Discriminant Analysis. New York: Hafner Press.
28. Lee, V. E. and J. B. Smith. 1994. "High School Restructuring and Student Achievement: A New Study Finds Strong Links." Issue Report No. 7. (ERIC Document Reproduction Service No. ED 326-565)
29. Lenard, Mary Jane, Pervaiz Alam, and Gregory R. Madey. 1995. "The Application of Neural Networks and a Qualitative Response Model to the Auditor's Going Concern Uncertainty Decision." Decision Sciences 26:209-27.
30. Markham, Ina S. and Cliff T. Ragsdale. 1995. "Combining Neural Networks and Statistical Predictions to Solve the Classification Problem in Discriminant Analysis." Decision Sciences 26:229-42.
31. Marzban, Caren, Haejung Paik, and Gregory Stumpf. 1997. "Neural Networks vs. Gaussian Discriminant Analysis." AI Applications 11:1-10.
32. Marzban, Caren and Gregory Stumpf. 1996. "A Neural Network for Tornado Prediction Based on Doppler Radar-Derived Attributes." Journal of Applied Meteorology 35:617-26.
33. Masters, Timothy. 1993. Practical Neural Network Recipes in C++. San Diego, CA: Academic Press.
34. McLachlan, G. J. 1992. Discriminant Analysis and Statistical Pattern Recognition. New York: John Wiley & Sons.
35. O'Brien, E. and M. Rollefson. 1995. "Extracurricular Participation and Student Engagement. Education Policy Issues: Statistical Perspectives." (ERIC Document Reproduction Service No. ED 384-097)
36. Paik, Haejung. 1998. "The Effect of Prior Probability on Skill in Two-Group Discriminant Analysis." Quality and Quantity 32:1-11.
37. Paik, Haejung and Caren Marzban. 1995. "Predicting Television Extreme Viewers and Nonviewers: A Neural Network Analysis." Human Communication Research 22:284-306.
38. Parshall, C. G. and J. D. Kromrey. 1996. "Tests of Independence in Contingency Tables With Small Samples: A Comparison of Statistical Power." Educational and Psychological Measurement 56:26-44.
39. Reardon, S. F. 1996. "Eighth Grade Minimum Competency Testing and Early High School Dropout Patterns." Presented at the annual meeting of the American Educational Research Association, April 8-12, New York. (ERIC Document Reproduction Service No. ED 400-273)
40. Rees, D. I., L. M. Argys, and D. J. Brewer. 1996. "Tracking in the United States: Descriptive Statistics From NELS." Economics of Education Review 15:83-89.
41. Richard, M. D. and R. P. Lippmann. 1991. "Neural Network Classifiers Estimate Bayesian A-Posteriori Probabilities." Neural Computation 3:461-83.
42. Ripley, B.D. 1996. Pattern Recognition and Neural Networks. Cambridge, UK: Cambridge University Press.
43. Sarle, Waren S. 1994a. "Neural Network Implementation in SAS Software." Pp. 1551-73 in SAS Institute Inc. Proceedings of the Nineteenth Annual SAS Users Group International Conference. Cary, NC: SAS Institute Inc.
44. -. 1994b. "Neural Networks and Statistical Models." Pp. 1538-50 in SAS Institute Inc. Proceedings of the Nineteenth Annual SAS Users Group International Conference. Cary, NC: SAS Institute Inc. Available: ftp.sas.com/pub/neural/neurall.ps
45. SAS Institute Inc. 1989. SAS/STAT® User's Guide, Version 6. 4th ed., vol. 1. Cary, NC: SAS Institute Inc.
46. Schrodt, Philip A. 1991. "Prediction of Interstate Conflict Outcomes Using a Neural Network." Social Science Computer Review 9:359-80.
47. Simons, R. L., L. B. Whitbeck, R. D. Conger, and K. J. Conger. 1991. "Parenting Factors, Social Skills, and Value Commitments as Precursors to School Failure, Involvement With Deviant Peers, and Delinquent Behavior." Journal of Youth and Adolescence 20:645-64.
48. U.S. Department of Education, National Center for Education Statistics. 1992. National Education Longitudinal Study, 1988: First Follow-Up (1990) [Student Data] [Computer File].
49. Washington, DC: U.S. Department of Education, Office of Educational Research and Improvement [Producer]. Ann Arbor, MI: Inter-University Consortium on Political and Social Research [Distributor].
50. Van Nelson, C. and Kathryn J. Neff. 1990. "Comparing and Contrasting Neural Net Solutions to Classical Statistical Solutions." Presented at the annual meeting of the Midwestern Educational Research Association, October 19, Chicago. (ERIC Document Reproduction Service No. ED 326-577)
51. Warner, B. and M. Misra. 1996. "Understanding Neural Networks as Statistical Tools." American Statistician 50:284-94.
52. Watts, W. D. and L. S. Wright. 1990. "The Relationship of Alcohol, Tobacco, Marijuana, and Other Illegal Drug Use to Delinquency Among Mexican-American, Black, and White Adolescent Males." Adolescence 25:171-81.
53. Wilson, Rick L. and Bill C. Hardgrave. 1995. "Predicting Graduate Student Success in an MBA Program Regression Versus Classification." Educational and Psychological Measurement 55:186-95.
54. Woelfel, Joseph. 1993. "Artificial Neural Networks in Policy Research: A Current Assessment." Journal of Communication 43:63-80.