I should have done this before I submitted a ms. for publication, but later is better than never. After waiting for a couple of months, I received a rejection for a ms. on the relationship between personality and life-satisfaction.

The rejection decision was based on a form letter by the action editor without any acknowledgement that they read the paper or comments on the main point of the ms. and two reviews.

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One review was by the author who’s data I reanalyzed and showed that the published results are not supported by my reanalyses. You can guess how favorable that review was or you can read it below. The other review made no substantial comments, probably because the reviewer is not familiar with structural equation modeling and unable to read the MPLUS output files that were shared on OSF. Anyhow, these reviews provide no helpful feedback, but they served the purpose of allowing the editor to reject the ms.

Unhappy, or rather frustrated, I decided to ask ChatGPT for a CRITICAL review of the manuscript and just pasted the manuscript in the dialogue box. Less than a minute later, i had a objective review that showed understanding of the issue, acknowledged strength, and pointed out several limitations that can be used to strengthen the manuscript. Wow. This is a gamechanger. Not only can editors save time and get valuable reviews. Authors can get the feedback before they submit a ms. and improve it. We all knew peer-review is shit because it is driven by nepotism, defensiveness, motivated bias, incompetence, and lack of time and motivation to do a good job. I have written my fair share of terse reviews without much care for the feelings of the authors. ChatGPT doesn’t have a bone in the fight. It may not be ready to replace peer-review, but it surely can elevate it.

ChatGPT Review

Critical Peer Review of “Personality and Life-Satisfaction: A Hierarchical, Multi-Rater Perspective”

Title and Abstract The manuscript addresses a critical and enduring question in psychology: the relationship between personality traits and life satisfaction. The title effectively conveys the scope of the research, and the abstract provides a concise overview of the methodology, results, and implications. However, the abstract could better highlight the novelty of the hierarchical factor analysis approach used, as this seems to be a significant contribution of the study.

Strengths of the Manuscript

1. Methodological Rigor: The use of hierarchical confirmatory factor analysis to separate variance components represents a significant methodological strength. This approach allows the study to address measurement errors and identify unique contributions of specific traits.
2. Multi-Rater Datasets: Incorporating multiple datasets with self-ratings and informant ratings enhances the reliability and generalizability of the findings. The inclusion of domain satisfaction measures in four of the datasets is also commendable.
3. Findings on Neuroticism: The consistent identification of the depressiveness facet of Neuroticism as a primary predictor of life satisfaction is a valuable contribution to the literature. The mediation effect of domain satisfaction provides novel insights into the mechanisms underlying this relationship.
4. Contextual Moderation: The manuscript explores variations across populations (e.g., students vs. parents) and cultural contexts, which adds depth to the findings.

Weaknesses and Areas for Improvement

1. Theoretical Framing:
   • While the manuscript builds on Costa and McCrae’s hierarchical model, the discussion of how this model advances or challenges existing theories of personality and subjective well-being (SWB) could be expanded. For example, the implications of the findings for alternative models, such as dynamic equilibrium theory, are not sufficiently explored.
   • The manuscript heavily focuses on Neuroticism and Extraversion. It briefly mentions other Big Five traits (e.g., Openness) but does not delve into their potential roles or reasons for their weaker effects. This omission may leave readers with an incomplete picture.
2. Facet-Level Analysis:
   • While the study underscores the importance of the depressiveness facet of Neuroticism, the results for Extraversion and Cheerfulness are inconsistent. The manuscript could include a more thorough discussion of why these inconsistencies arise and what they suggest about the role of positive affect in life satisfaction.
   • There is little exploration of why specific traits (beyond Depressiveness and Cheerfulness) fail to consistently predict life satisfaction. Providing more nuanced interpretations could enrich the discussion.
3. Domain Satisfaction and Top-Down Effects:
   • The findings on domain satisfaction are compelling but underexplored. The “top-down” influence of personality traits on domain evaluations is mentioned, but the mechanisms underlying this influence remain vague. For instance, how does Depressiveness lead to negative evaluations of specific domains? This area warrants further elaboration.
   • The manuscript could provide more detail on the “bottom-up” integration of domain satisfaction into global life satisfaction judgments. Are certain domains (e.g., relationships, financial stability) consistently more influential across samples?
4. Methodological Concerns:
   • Measurement of Life Satisfaction: The use of a single-item measure of life satisfaction in some datasets raises validity concerns, as acknowledged by the authors. A more detailed justification for this choice and a discussion of its potential limitations are needed.
   • Sample Representativeness: The reliance on student samples in some studies limits generalizability. While this limitation is noted, it could be addressed more explicitly in the discussion.
   • Reliance on Multi-Rater Data: The manuscript assumes that variance shared among raters reflects valid variance. However, it does not adequately address potential biases introduced by informant ratings, such as social desirability effects or shared environmental influences.
5. Presentation and Accessibility:
   • The manuscript’s extensive use of technical language and complex statistical concepts may limit accessibility for non-specialist readers. Including simplified explanations or visual aids (e.g., diagrams of hierarchical models) would enhance readability.
   • The tables summarizing results are dense and lack accompanying narrative summaries that highlight key patterns. For example, Table 1 and Table 2 could benefit from clearer labels and textual integration into the results section.

Suggestions for Future Research

• The manuscript highlights the need to identify additional predictors of life satisfaction beyond Depressiveness and Cheerfulness. Future studies could explore traits or facets not captured by traditional Big Five measures, such as self-compassion or grit.
• Longitudinal studies that disentangle the causal relationships between personality, domain satisfaction, and life satisfaction would address limitations of the current cross-sectional datasets.
• Cross-cultural studies that examine the moderating effects of societal factors (e.g., individualism vs. collectivism) on the personality-life satisfaction relationship could provide valuable insights.

Conclusion The manuscript makes a meaningful contribution to the literature on personality and subjective well-being by quantifying the effects of personality traits and exploring their mediation through domain satisfaction. However, the study’s potential impact could be enhanced by addressing the theoretical, methodological, and presentation-related issues outlined above. Overall, the research is robust, and its findings are valuable, but greater clarity and depth in certain areas would strengthen its contribution to the field.

Overall Recommendation: Revise and resubmit, addressing the identified weaknesses and incorporating the suggested improvements to enhance the manuscript’s clarity, accessibility, and theoretical depth.