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Regarding an “Almost Anything Goes” Attitude Toward Methods in Psychology

TLDR
In this article, the authors outline three aspects of a new post-modern methodology in psychology: liberal, pluralistic, and more tolerant: liberal because it rejects rules that are too strict and pluralistic because it conveys an almost anything goes attitude toward different methods.
Abstract
Our outline points out three aspects of a new post-modern methodology in psychology: liberal, pluralistic, and more tolerant: liberal because it rejects rules that are too strict in favor of more freedom in the choice of method, pluralistic because it conveys an “almost anything goes” attitude toward methods, and more tolerant because mutual tolerance among researchers is vital for a pluralism of methods. Psychological phenomena are complex and can best be understood by using different methods. However, to get things working, tolerance must actively be lived. Of course, much depends on our own willingness as researchers but also on the system’s arrangements. Psychology could be more colorful, and we could all have more fun if we were to be more committed to such a methodology.

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A Bayesian EAP-Based Nonlinear Extension of Croon and Van Veldhoven’s Model for Analyzing Data from Micro–Macro Multilevel Designs

TL;DR: This article defines the Bayesian EAPs, discusses a way for estimating them, and shows how their estimates can be used to obtain the interaction and the quadratic effects of explanatory variables.
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Bayesian and Maximum-Likelihood Modeling and Higher-Level Scores of Interpersonal Problems With Circumplex Structure.

TL;DR: In this article, the authors used a non-clinical sample from an online questionnaire study (N = 822) and replicated the three-factor structure of the IIP by maximum likelihood and Bayesian confirmatory factor analysis and found great proximity of the Bayesian loadings to perfect circumplexity.
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Why Full, Partial, or Approximate Measurement Invariance Are Not a Prerequisite for Meaningful and Valid Group Comparisons

TL;DR: In this paper , the authors argue that measurement invariance is not necessary for meaningful and valid comparisons across groups, and furthermore, there is no support for preferring the partial invariance approach over competing approaches, such as invariance alignment, robust linking, or Bayesian approximate invariance.
References
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Journal ArticleDOI

PLS path modeling

TL;DR: PLS path modeling can be used for analyzing multiple tables so as to be related to more classical data analysis methods used in this field and some new improvements are proposed.
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Bayesian structural equation modeling: A more flexible representation of substantive theory.

TL;DR: This article proposes a new approach to factor analysis and structural equation modeling using Bayesian analysis, which replaces parameter specifications of exact zeros with approximate zeros based on informative, small-variance priors.
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A systematic review of Bayesian articles in psychology: The last 25 years.

TL;DR: It is found in this review that the use of Bayes has increased and broadened in the sense that this methodology can be used in a flexible manner to tackle many different forms of questions.