1973American Educational Research JournalRequires access

The Use of Orthogonal Polynomials for Trend Analysis

Lawrence J. Hubert

Open publisher page 8 citations

Abstract

One of the methods of data analysis available to educational researchers and psychologists is trend analysis within the statistical framework of analysis of variance. In particular, if the set of treatments administered to different groups of subjects can be ordered along a continuum by means of a numerical measure, it may be substantively important to investigate the exact trend or relationship between this measure and the dependent variable. A typical example would be in experimentally manipulating the amount of study time on a particular topic and measuring the effect on retention. Within a larger context the discussion given below can be related directly to Mood's article (1971) on partitioning variance in regression models, even though the problem mentioned here is much more narrowly defined; some of the same concerns of orthogonality that arise in his presentation are relevant here as well.

About this research paper

What this paper is about

One of the methods of data analysis available to educational researchers and psychologists is trend analysis within the statistical framework of analysis of variance. In particular, if the set of treatments administered to different groups of subjects can be ordered along a continuum by means of a numerical measure, it may be substantively important to investigate the exact trend or relationship between this measure and the dependent variable. A typical example would be in experimentally manipulating the amount of study time on a particular topic and measuring the effect on retention. Within a larger context the discussion given below can be related directly to Mood's article (1971) on partitioning variance in regression models, even though the problem mentioned here is much more narrowly defined; some of the same concerns of orthogonality that arise in his presentation are relevant here as well.

Why it matters

OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

One of the methods of data analysis available to educational researchers and psychologists is trend analysis within the statistical framework of analysis of variance. In particular, if the set of treatments administered to different groups of subjects can be ordered along a continuum by means of a numerical measure, it may be substantively important to investigate the exact trend or relationship between this measure and the dependent variable. A typical example would be in experimentally manipulating the amount of study time on a particular topic and measuring the effect on retention. Within a larger context the discussion given below can be related directly to Mood's article (1971) on partitioning variance in regression models, even though the problem mentioned here is much more narrowly defined; some of the same concerns of orthogonality that arise in his presentation are relevant here as well.

Key concepts: Orthogonal polynomials, Trend analysis, Mathematics, Algebra over a field, Econometrics, Statistics, Combinatorics, Pure mathematics

Related papers

Back to paper searchBrowse research topicsOriginal source
The Use of Orthogonal Polynomials for Trend Analysis — Research Paper | ScholarLens