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.

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.

Constructing a summary index using the standardized inverse-covariance weighted average of indicators

2020 ◽  
Vol 20 (4) ◽  
pp. 952-964
Author(s):  
Benjamin Schwab ◽  
Sarah Janzen ◽  
Nicholas P. Magnan ◽  
William M. Thompson
Keyword(s):  
Least Squares Method ◽  
Weighted Average ◽  
Generalized Least Squares ◽  
American Statistical Association ◽  
Cash Transfer ◽  
Transfer Program ◽  
Statistical Association ◽  
Generalized Least Squares Method ◽  
Summary Index ◽  
The Relationship

Researchers often want to examine the relationship between a variable of interest and multiple related outcomes. To avoid problems of inference that arise from testing multiple hypotheses, one can create a summary index of the outcomes. Summary indices facilitate generalizing findings and can be more powerful than individual tests. In this article, we introduce a command, swindex, that implements the generalized least-squares method of index construction proposed by Anderson (2008, Journal of the American Statistical Association 103: 1481–1495). We describe the command and its options and provide an example based on Blattman, Fiala, and Martinez’s (2014, Quarterly Journal of Economics 129: 697–752) evaluation of a cash transfer program in Uganda.

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