scholarly journals بحوث العلوم النفسية: الاستدلال الإحصائي والأزمة في قابلية التكرار

2021 ◽  
Author(s):  
Ahmed Mohamed Hussein Unshur
Keyword(s):  
Open Science ◽  
American Statistical Association ◽  
Statistical Association ◽  
P Values ◽  
Science Framework ◽  
Data Dredging

تتراكم المعرفة نتيجة لتتابع البحوث وتطورها، ويعتبر البحث العلمي أداة ووسيلة موضوعية للكشف عن الحقيقة العلمية، والعلم يقوم بالتصحيح الذاتي ليصحح مساره. تواجه بحوث العلوم النفسية قضايا منهجية مرتبطة بالاستدلال الإحصائي وبالتحديد سوء فهم واستخدام الدلالة الإحصائية أو القيم الاحتمالية (p-values)، وعدم قابلية النتائج للتكـرار. يقوم الباحثون بعملية تجريف البيانات (Data-dredging) لإيجاد نتائج ذات دلالة إحصائية تبرر النشر وذلك نتيجة للتنافس العالي في البيئة الأكاديميـة. تقدم هذه الورقة جهود العلماء والباحثين في علم النفس والإحصاءتجاه هذه القضايا، بما فيها بيان أصدرته الجمعية الإحصائية الأمريكية (ASA) American Statistical Association عن الدلالة الإحصائية والقيم الاحتمالية، والإطار العلمي المفتوح (OSF) Open Science Framework، ومشروع تعاوني قام به التعاون العلمي المفتوح بحيث تم تكرار 100 دراسة تجريبية وارتباطية للحصول على تقدير مبدئي في قابلية نتائج البحوث النفسية للتكرار. كما تقدم الورقة عدد من الحلول المقترحـة. يؤمل أن تحفـز هذه الورقة النقاش في وسط الباحثين وأن تفتح أفق جديدة للبحوث النفسيــة.

scholarly journals P -values and reproductive health: what can clinical researchers learn from the American Statistical Association?

2016 ◽  
Vol 31 (11) ◽  
pp. 2406-2410 ◽  
Author(s):  
L. V. Farland ◽  
K. F. Correia ◽  
L. A. Wise ◽  
P. L. Williams ◽  
E. S. Ginsburg ◽  
...  
Keyword(s):  
Reproductive Health ◽  
American Statistical Association ◽  
Statistical Association ◽  
P Values

The “New Statistics” and Nullifying the Null: Twelve Actions for Improving Quantitative Accounting Research Quality and Integrity

2017 ◽  
Vol 32 (1) ◽  
pp. 105-120 ◽  
Author(s):  
Dan N. Stone
Keyword(s):  
American Statistical Association ◽  
Research Quality ◽  
Information Collection ◽  
Statistical Association ◽  
P Values ◽  
Accounting Research ◽  
New Statistics

SYNOPSIS Leveraging accounting scholars' expertise in the integrity of information and evidence, and in managers' self-interested discretion in information collection and reporting, offers the possibility of accounting scholars creating, promoting, and adapting methods to ensure that accounting research is of exemplary integrity and quality. This manuscript uses the six principles from the recent American Statistical Association (ASA) report on p-values as an organizing framework, and considers some implications of these principles for quantitative accounting research. It also proposes 12 actions, in three categories (community actions, redefining research quality, and ranking academic accounting journals) for improving quantitative accounting research quality and integrity. It concludes with a clarion call to our community to create, adopt, and promote scholarship practices and policies that lead in scholarly integrity.

scholarly journals P-Values in a Post-Truth World

2020 ◽  
Author(s):  
Joshua T. Vogelstein
Keyword(s):  
Role Models ◽  
Large Degree ◽  
American Statistical Association ◽  
Statistical Association ◽  
Special Issue ◽  
P Values ◽  
Guiding Principles

The role of statisticians in society is to provide tools, techniques, and guidance with regards to how much to trust data. This role is increasingly more important with more data and more misinformation than ever before. The American Statistical Association recently released a statement on p-values, which was subsequently followed-up with a special issue of The American Statistician that included 43 perspective pieces and a summarizing editorial which provided four guiding principles. We evaluate the claims using these four principles and find that, to a large degree, the authors failed to adhere to them. In this age of distrust, statisticians have an opportunity to be role models of trustworthiness, and responsibility to take it.

Publikasi Akademik Sepanjang 2019

2019 ◽  
Author(s):  
Adib Rifqi Setiawan
Keyword(s):  
Open Science ◽  
Research Papers ◽  
Science Framework

Berikut ini beberapa publikasi saya pada 2019 ini. Penting atau tidak, saya menganggap bahwa publikasi hanyalah efek samping riset. Di luar publikasi ini, saya juga masih aktif sebagai penulis media daring, seperti Qureta.com, Selasar.com, dan SantriMilenial.net serta mengunggah beberapa artikel preprint melalui layanan Open Science Framework (OSF), EdArxiv.org, dan Research Papers in Economics (RePEc).

scholarly journals Genetic and Transcriptomic Biomarkers in Neurodegenerative Diseases: Current Situation and the Road Ahead

Cells ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 1030
Author(s):  
Julie Lake ◽  
Catherine S. Storm ◽  
Mary B. Makarious ◽  
Sara Bandres-Ciga
Keyword(s):  
Neurodegenerative Diseases ◽  
Large Scale ◽  
Disease Diagnosis ◽  
Open Science ◽  
Future Directions ◽  
The Road ◽  
Current State ◽  
Molecular Complexity ◽  
Science Framework ◽  
Lateral Sclerosis

Neurodegenerative diseases are etiologically and clinically heterogeneous conditions, often reflecting a spectrum of disease rather than well-defined disorders. The underlying molecular complexity of these diseases has made the discovery and validation of useful biomarkers challenging. The search of characteristic genetic and transcriptomic indicators for preclinical disease diagnosis, prognosis, or subtyping is an area of ongoing effort and interest. The next generation of biomarker studies holds promise by implementing meaningful longitudinal and multi-modal approaches in large scale biobank and healthcare system scale datasets. This work will only be possible in an open science framework. This review summarizes the current state of genetic and transcriptomic biomarkers in Parkinson’s disease, Alzheimer’s disease, and amyotrophic lateral sclerosis, providing a comprehensive landscape of recent literature and future directions.

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