Strategies of Path Analysis [electronic resource] / Lee M. Wolfle.
The purpose of this paper is to illuminate the advantages of path analysis for the exposition of results in data analytic papers. Probably the greatest advantage is that it provides a means by which the nature of the problem may be handily summarized. The method of path analysis, although conceived...
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Full Text (via ERIC) |
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| Main Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
[S.l.] :
Distributed by ERIC Clearinghouse,
1978.
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| Subjects: |
MARC
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| 100 | 1 | |a Wolfle, Lee M. | |
| 245 | 1 | 0 | |a Strategies of Path Analysis |h [electronic resource] / |c Lee M. Wolfle. |
| 260 | |a [S.l.] : |b Distributed by ERIC Clearinghouse, |c 1978. | ||
| 300 | |a 37 p. | ||
| 500 | |a ERIC Document Number: ED166204. | ||
| 500 | |a ERIC Note: Paper presented at the Annual Meeting of the American Educational Research Association (62nd, Toronto, Ontario, Canada, March 27-31, 1978). |5 ericd. | ||
| 520 | |a The purpose of this paper is to illuminate the advantages of path analysis for the exposition of results in data analytic papers. Probably the greatest advantage is that it provides a means by which the nature of the problem may be handily summarized. The method of path analysis, although conceived over sixty years ago by Sewell Wright, has only recently been introduced into educational literature. Its application in substantive analyses in education has also been infrequent. Path analysis requires the researcher to think about systems of intercausal connections and requires a degree of explicitness desirable in scientific writing. Path models may be classified into four categories: recursive, block, block-recursive, and nonrecursive. Each of these requires a somewhat different strategy of analysis. The strategy for each kind of model is illustrated with substantive examples. The more difficult task of path analysis involves the construction of models that are consistent with sound theory. (Author/CTM) | ||
| 650 | 0 | 7 | |a Correlation. |2 ericd. |
| 650 | 1 | 7 | |a Critical Path Method. |2 ericd. |
| 650 | 0 | 7 | |a Data Analysis. |2 ericd. |
| 650 | 1 | 7 | |a Mathematical Models. |2 ericd. |
| 650 | 1 | 7 | |a Multiple Regression Analysis. |2 ericd. |
| 650 | 0 | 7 | |a Predictor Variables. |2 ericd. |
| 650 | 1 | 7 | |a Research Design. |2 ericd. |
| 650 | 0 | 7 | |a Research Methodology. |2 ericd. |
| 650 | 0 | 7 | |a Suppressor Variables. |2 ericd. |
| 650 | 0 | 7 | |a Validity. |2 ericd. |
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