The Effect of Faking on the Correlation Between Two Ordinal Variables: Some Population and Monte Carlo Results
Correlational measures are probably the most spread statistical tools in psychological research. They are used by researchers to investigate, for example, relations between self-report measures usually collected using paper-pencil or online questionnaires. Like many other statistical analysis, also...
Main Authors: | Marco Bressan, Yves Rosseel, Luigi Lombardi |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2018-10-01
|
Series: | Frontiers in Psychology |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fpsyg.2018.01876/full |
Similar Items
-
Use of Pearson and Spearman correlation testing in Indian anesthesia journals: An audit
by: Asha Tyagi, et al.
Published: (2023-01-01) -
Pembaruan Aplikasi Paperless Office Universitas Syiah Kuala
by: Taufik Fuadi Abidin, et al.
Published: (2016-04-01) -
An Analysis of Correlation and Comparisons Between Centrality Measures in Network Models
by: Mohamadichamgavi Javad, et al.
Published: (2024-01-01) -
COUNTERING NEUTRON CLUSTERING IN MONTE CARLO WITH A NEUTRON SOURCE INJECTION
by: Cosgrove P., et al.
Published: (2021-01-01) -
Better ways to improve standards in brain-behavior correlation analysis
by: Dietrich Samuel Schwarzkopf, et al.
Published: (2012-07-01)