Sentence examples for a one factor model from inspiring English sources

The phrase "a one factor model" is correct and usable in written English.
It can be used in contexts related to statistics, finance, or research where a model is being described that considers a single influencing factor.
Example: "In our analysis, we utilized a one factor model to simplify the relationship between the variables."
Alternatives: "a single factor model" or "a unifactor model".

Exact(12)

A one factor model obtained a standardized root mean residual RMSR = .12, greater than recommendation (RMSR <.06; Ferrando & Lorenzo-Seva, 2013), and a lower percentage of explained variance (34.65%) than the other models.

Overall, the weight of evidence points towards a one factor model providing adequate fit to the data.

Similarly, in the current sample, criteria described by [ 46] were used to check if a one factor model adequately fit the data in a CFA.

(Other possible explanations for the data were examined but found not to provide a good fit, e.g. a one factor model, and multiple two factor models).

To confirm that the six domains assessed a common underlying QoL construct, a one factor model of these domains was initially evaluated using CFA.

The total sum score (corresponding to a one factor model) and the YBOCS total severity score were also heritable, with heritability estimates of 0.39 and 0.52, respectively.

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Similar(48)

Bivariate correlations were computed and a two-factor model was tested against a one-factor model with structural equation modeling, using Amos 16.0.

To the scores of the twin 1 and 2 samples on these subtests, we fitted a one-factor model representing the general intelligence factor.

The CFA revealed that a one-factor model with correlated residuals was the more parsimonious model.

Confirmatory factor analysis confirmed the two-factorial scale structure of the CARAT10, with a two-factor model showing a better fit to the data than a one-factor model.

A two-factor model with two related factors ("positive core self-evaluations" and "negative core self-evaluations") fit the data better than a one-factor model.

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