Sentence examples for a split half from inspiring English sources

The phrase "a split half" is correct and usable in written English
It can be used in contexts where something is divided into two equal parts or when discussing statistical methods, such as split-half reliability in testing. Example: "In the study, we used a split half approach to assess the consistency of the participants' responses."

Exact(8)

Using both the Kruskal-Wallis test [23], a nonparametric alternative to the ANOVA, and a split half reliability test (see Methods) substructure was present in multiple principal components (Table 2).

Following exploratory factor analysis, we conducted confirmatory factor analysis on a split half of the sample.

As a validation procedure, we conducted a split half cross-validation procedure.

As a validation procedure, we conducted a split half cross-validation procedure for the total group respondents as well as a cluster analysis for each medical school separately, followed by a split half cross-validation procedure for each medical school.

We also examined the cluster analysis for each medical school separately, followed by a split half cross-validation procedure for each medical school.

The main limitation of this study is related to the infeasibility of applying a split half method, which involves dividing the total sample in two and correlating the results, as a way of assessing the reliability of a test.

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Similar(52)

The method identifies high frequency, autocorrelated physiological noise sources with reproducible spatial structure, using an adaptation of Canonical Correlation Analysis performed in a split-half resampling framework.

The test reliability, determined using a split-half correlation with Spearman-Brown correction, was 0.81.

Cronbach (1951) argues that alpha is a split-half coefficient that shows how consistent the internal structure of responses to a scale are.

A split-half coefficient was obtained from the correlation between the two halves.

A split-half coefficient of 0.7 and above equates to an s.e.m. of over half (0.55) a standard deviation.

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