FINDING VARIABLES THAT WORK

被引：23

作者：

SONQUIST, JA ^{[1
]}

机构：

[1] UNIV MICHIGAN,INST SOCIAL RES,COMP SERV FACIL,ANN ARBOR,MI

来源：

PUBLIC OPINION QUARTERLY | 1969年 / 33卷 / 01期

关键词：

D O I：

10.1086/267669

中图分类号：

G2 [信息与知识传播];

学科分类号：

05 ; 0503 ;

摘要：

This paper outlines a strategy for using two large-scale computer programs, the Automatic Interaction Detection and Multiple Classification Analysis algorithms. They supplement each other in the inductive task of formulating a model of the simultaneous effects of a set of independent variables on a criterion. MCA handles correlated predictors well, but assumes away interactions. Terms representing this type of joint effect are located by preliminary AID runs. © 1969 by Columbia University Press.

引用

页码：83 / 95

页数：13

共 13 条

[1]

ANDERSON RL, 1952, STATISTICAL THEORY R

[2]

Andrews F., 1967, MULTIPLE CLASSIFICAT

[3]

Blalock H.M., 1964, CAUSAL INFERENCE NON

[4]

EZEKIEL M, 1959, METHODS CORRELATION, P147

[5]

Horst P, 1954, J CLIN PSYCHOL, V10, P3, DOI 10.1002/1097-4679(195401)10:1<3::AID-JCLP2270100102>3.0.CO

[6]

2-7

[7]

HYMAN HH, 1954, SURVEY DESIGN ANALYS, pCH6

[8] PROBLEMS IN ANALYSIS OF SURVEY DATA, AND A PROPOSAL [J].

MORGAN, JN ;

SONQUIST, JA .

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1963, 58 (302) :415-&

[9]

Sewell W. H., 1966, AM SOCIOL REV, V31, P698

[10]

SONQUIST JA, 1964, 35 U MICH I SOC RES

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