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Navigating JME Peer Review Process
jme-review-process
brycewang-stanford/Awesome-Journal-Skills
192
This guide details the specific, rigorous peer-review process for the Journal of Monetary Economics (JME). It covers crucial elements such as single-blind anonymity, the distinct "up or out" single-revision rule, the ~50% publication likelihood threshold for R&R, and best practices for preparing suggested referees. Use it when you need to set realistic expectations for journal submissions or strategically interpret complex review decisions.
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Data Analysis for Family Research and Reporting
jmf-data-analysis
brycewang-stanford/Awesome-Journal-Skills
53
A comprehensive guide detailing the rigorous statistical and methodological norms required for publishing family research, specifically tailored for journals like JMF. It covers handling complex survey weights, non-independence in dyads and families, missing data imputation, attrition modeling, and robust reporting of uncertainty and selection effects.
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Academic Rebuttal Strategy for Publishing
jmf-rebuttal
brycewang-stanford/Awesome-Journal-Skills
369
This guide provides a comprehensive strategy for crafting a persuasive response letter when submitting a revised manuscript following a 'Revise and Resubmit' (R&R) decision. It teaches authors how to address multiple, sometimes conflicting, demands from anonymous reviewers and an editor, ensuring the revision appears academically convergent and strengthens the paper's core contribution. It focuses on structure, tone, and strategic argumentation rather than generating new findings.
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Designing JMF-Style Academic Exhibits
jmf-tables-figures
brycewang-stanford/Awesome-Journal-Skills
372
Provides comprehensive guidelines for creating self-contained, publication-ready tables and figures for academic manuscripts, specifically adhering to the Journal of Marriage and Family (JMF) style. It covers modified APA conventions, displaying effect sizes and confidence intervals, ensuring accessibility (grayscale/colorblind), and managing strict page budgets by distinguishing between main text and supplementary material.
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Data Transparency and Replication Policy Guide
jmf-transparency-and-data-policy
brycewang-stanford/Awesome-Journal-Skills
317
A comprehensive guide detailing the data sharing and transparency requirements for submitting manuscripts to the Journal of Marriage and Family (JMF). It specifically addresses the challenge of restricted-use family datasets, teaching researchers how to document access paths and ensure replication-level detail without direct data redistribution.
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Literature Positioning For Management Journals
jmgmt-literature-positioning
brycewang-stanford/Awesome-Journal-Skills
266
This guide teaches authors how to strategically position their research contribution for top-tier management journals. It emphasizes moving beyond simple 'gap-spotting' to 'problematization'—challenging existing assumptions within a focused academic conversation. It also provides detailed advice on how to differentiate the work from contributions appropriate for sibling journals (AMJ, SMJ, etc.), significantly boosting publication chances.
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Academic Journal Submission Checklist
jmgmt-submission
brycewang-stanford/Awesome-Journal-Skills
330
This comprehensive guide serves as a preflight checklist for submitting academic manuscripts, specifically for the Journal of Management (JOM). It ensures authors comply with strict publishing standards, covering the 50-page limit, APA 7th formatting, double-blind anonymity, and the critical data transparency table. Use this checklist before finalizing your submission on the online portal.
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Scoping Management Research Contributions
jmgmt-topic-selection
brycewang-stanford/Awesome-Journal-Skills
273
This guide helps academic researchers scope their research questions and determine the appropriate contribution type (empirical paper, meta-analysis, or systematic review) for top-tier general management journals. It teaches authors how to ensure their work has a broad, general-management theoretical contribution rather than being too niche, and how to strategically compare fit against competing academic journals.
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JMR R&R Revision and Response Guide
jmr-rebuttal
brycewang-stanford/Awesome-Journal-Skills
401
A comprehensive guide for authors managing a Revise-and-Resubmit (R&R) from the Journal of Marketing Research (JMR). It outlines how to systematically address dual concerns—research rigor (statistics, identification, replication) and theoretical substance (contribution)—while crafting a point-by-point response letter. It emphasizes using the Web Appendix to manage new analyses without exceeding the page limit.
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Drafting Academic Rebuttal Letters Strategy
jms-rebuttal
brycewang-stanford/Awesome-Journal-Skills
285
A comprehensive guide for drafting scholarly rebuttal letters following journal review rounds (R&R). It teaches how to structure point-by-point responses, strategically address reviewer disagreements, re-sharpen the theoretical contribution, and maintain a collegial, rigorous tone to convince the handling editor of the manuscript's significant improvement.
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Understanding Journal Peer Review Processes
jms-review-process
brycewang-stanford/Awesome-Journal-Skills
211
A comprehensive guide for authors needing to understand the academic publishing lifecycle, specifically for the Journal of Management Studies (JMS). This guide details the editorial process, from desk screening to double-blind review, and provides expert advice on interpreting decision letters (e.g., Major Revision vs. Reject). It focuses on planning a strategic revision approach rather than drafting the response letter.
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Behavioral Modeling and Experimental Design
jmsc-behavioral-om
brycewang-stanford/Awesome-Journal-Skills
475
A guide for integrating behavioral theory into rigorous empirical studies. It outlines the necessary steps to move beyond descriptive findings of irrationality by constructing a statistically identifiable behavioral model (e.g., incorporating loss aversion parameters) and testing it against rational baselines using controlled, incentive-compatible experimental designs. Essential for submitting papers requiring model explanation of behavioral biases.
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