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Korean Journal of Psychology: General

An introduction to non-linear data fitting using the Microsoft Excel

Korean Journal of Psychology: General / Korean Journal of Psychology: General, (P)1229-067X; (E)2734-1127
2015, v.34 no.3, pp.741-767
https://doi.org/10.22257/kjp.2015.09.34.3.741

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Abstract

Psychologists working on psychometric data often struggle with the process of data fitting which requires advanced knowledge about programming and mathematics. Although some commercial softwares reduce investigators effort to perform the process, still most of them are far from easy tools that a beginner tries them without hesitation. In contrast, the Microsoft Excel provides intuitive ways to fit data and calculate the parameters. In this paper, the processes of data fittings are demonstrated step by step using the Excel solver. Specifically, in fitting non-linear data, the least squares estimation and maximum likelihood estimation are introduced and the processes are compared to understand the difference. Finally, it was discussed how to statistically test the parameters between groups that were obtained from the data fitting.

keywords
data fitting, least squares estimation, maximum likelihood estimation, Psychometric functions, Excel solver, 자료 적합, 최소제곱추정, 최대우도추정, 심리측정함수, Excel solver

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Korean Journal of Psychology: General