Circular Modelling of Circumplex Measurements for Interpersonal Behavior

Research output: Contribution to journal › Review › Research › peer-review

Standard

Circular Modelling of Circumplex Measurements for Interpersonal Behavior. / Cremers, Jolien; Pennings, Helena J M; Mainhard, Tim; Klugkist, Irene.

In: Assessment, Vol. 28, No. 2, 2021, p. 585-600.

Research output: Contribution to journal › Review › Research › peer-review

Harvard

Cremers, J, Pennings, HJM, Mainhard, T & Klugkist, I 2021, 'Circular Modelling of Circumplex Measurements for Interpersonal Behavior', Assessment, vol. 28, no. 2, pp. 585-600. https://doi.org/10.1177/1073191119858407

APA

Cremers, J., Pennings, H. J. M., Mainhard, T., & Klugkist, I. (2021). Circular Modelling of Circumplex Measurements for Interpersonal Behavior. Assessment, 28(2), 585-600. https://doi.org/10.1177/1073191119858407

Vancouver

Cremers J, Pennings HJM, Mainhard T, Klugkist I. Circular Modelling of Circumplex Measurements for Interpersonal Behavior. Assessment. 2021;28(2):585-600. https://doi.org/10.1177/1073191119858407

Author

Cremers, Jolien ; Pennings, Helena J M ; Mainhard, Tim ; Klugkist, Irene. / Circular Modelling of Circumplex Measurements for Interpersonal Behavior. In: Assessment. 2021 ; Vol. 28, No. 2. pp. 585-600.

Bibtex

@article{2b081f37d04547bca1799d760118fe9e,
title = "Circular Modelling of Circumplex Measurements for Interpersonal Behavior",
abstract = "This article describes a new way to analyze data from the interpersonal circumplex (IPC) for interpersonal behavior. Instead of analyzing Agency and Communion separately or analyzing the IPC's octants, we propose using a circular regression model that allows us to investigate effects on a blend of Agency and Communion. The proposed circular model is called a projected normal (PN) model. We illustrate the use of a PN mixed-effects model on three repeated measures data sets with circumplex measurements from interpersonal and educational psychology. This model allows us to detect different types of patterns in the data and provides a more valid analysis of circumplex data. In addition to being able to investigate the effect on the location (mean) of scores on the IPC, we can also investigate effects on the spread (variance) of scores on the IPC. We also introduce new tools that help interpret the fixed and random effects of PN models.",
author = "Jolien Cremers and Pennings, {Helena J M} and Tim Mainhard and Irene Klugkist",
year = "2021",
doi = "10.1177/1073191119858407",
language = "English",
volume = "28",
pages = "585--600",
journal = "Assessment",
issn = "1073-1911",
publisher = "SAGE Publications",
number = "2",

}

RIS

TY - JOUR

T1 - Circular Modelling of Circumplex Measurements for Interpersonal Behavior

AU - Cremers, Jolien

AU - Pennings, Helena J M

AU - Mainhard, Tim

AU - Klugkist, Irene

PY - 2021

Y1 - 2021

N2 - This article describes a new way to analyze data from the interpersonal circumplex (IPC) for interpersonal behavior. Instead of analyzing Agency and Communion separately or analyzing the IPC's octants, we propose using a circular regression model that allows us to investigate effects on a blend of Agency and Communion. The proposed circular model is called a projected normal (PN) model. We illustrate the use of a PN mixed-effects model on three repeated measures data sets with circumplex measurements from interpersonal and educational psychology. This model allows us to detect different types of patterns in the data and provides a more valid analysis of circumplex data. In addition to being able to investigate the effect on the location (mean) of scores on the IPC, we can also investigate effects on the spread (variance) of scores on the IPC. We also introduce new tools that help interpret the fixed and random effects of PN models.

AB - This article describes a new way to analyze data from the interpersonal circumplex (IPC) for interpersonal behavior. Instead of analyzing Agency and Communion separately or analyzing the IPC's octants, we propose using a circular regression model that allows us to investigate effects on a blend of Agency and Communion. The proposed circular model is called a projected normal (PN) model. We illustrate the use of a PN mixed-effects model on three repeated measures data sets with circumplex measurements from interpersonal and educational psychology. This model allows us to detect different types of patterns in the data and provides a more valid analysis of circumplex data. In addition to being able to investigate the effect on the location (mean) of scores on the IPC, we can also investigate effects on the spread (variance) of scores on the IPC. We also introduce new tools that help interpret the fixed and random effects of PN models.

U2 - 10.1177/1073191119858407

DO - 10.1177/1073191119858407

M3 - Review

C2 - 31257905

VL - 28

SP - 585

EP - 600

JO - Assessment

JF - Assessment

SN - 1073-1911

IS - 2

ER -

ID: 236376805