About

The Company

Mission

Optimal Data Analysis, LLC (ODA), is a statistical consulting company specializing in design, measurement and analysis aspects of all maximum-accuracy methods.  We provide theoretical and applied research involving optimal statistical methods in one location—serving as both nursery and proving-ground for cutting-edge science. ODA provides a free eJournal, Optimal Data Analysis (ODA), for which there is no subscription or publication fee.  The journal is provided so that all may acquire leading-edge ideas, findings, experiments, and reviews in this field.  Anyone with access to the internet has access to the journal without charge, and anyone who writes an article concerning maximum-accuracy methods may publish in the journal without charge.  ODA offers an assortment of statistical software, consulting and educational services and products, as well as “software as service” and special-purpose integrated systems. An eJournal (ODAJournal.com) is the newest addition to the ODA information network, and is designed to keep the community of people interested in maximizing accuracy abreast of new success stories and opportunities.

Instant, global access to the world’s accumulated knowledge, the latest reports, the most current software, and state-of-the-art computing infrastructure—all accessible through a smart phone…

Services

Staff scientists as well as affiliated consultants are available on a contractual consulting basis to assist in study design (hypothesis generation, measure and metric design, statistical power analysis, statistical analysis plan), statistical analysis (together our staff and associates are experts in most traditional methods, and we have developed and published more than 70 new exact statistical procedures), report generation (together amassing more than 2,000 peer-reviewed journal articles and 25 books), grant and contract proposal preparation (together receiving more than $40 million in research funding, our services offered include study design, hypothesis generation, measure and metric design, statistical power analysis, statistical analysis plan, statistical analysis, and report generation and dissemination), and custom integrated systems (ODA scientists and engineers have an impressive pedigree in creating a wide variety of industrial and commercial integrated systems, extending more than three decades).  ODA also offers a variety of on-site or off-site custom educational services, including colloquia (1-2 hours), and interactive lectures (2-8 hours) and workshops (1-2 days).

The Journal

Open Access (Free)

Access to and publication in Optimal Data Analysis (ODA) is free.

Mission

ODA is a multidisciplinary journal specializing in maximum-accuracy methods. All quantitative areas of inquiry are eligible for publication in ODA, and are welcomed. Infusion of new hypothesis and data configurations are often the source of new discoveries.

ODA is intended to focus the world’s theoretical and applied research involving optimal statistical methods in one location, to provide both nursery and proving-ground for cutting-edge science, for all to learn and collaborate and prosper intellectually. ODA has, and seeks additional international academic ambassadors who cross-transliterate articles published in ODA, and in collaborating journals publishing in languages other than English, in order to facilitate a world-wide academic community.

ODA is designed to provide real-time publishing, to provide the most current progress to the world audience with minimal delay.

ODA is designed to be free for all, to put all scientists at the cusp of the leading-edge ideas, findings, experiments, and reviews. Any scientist with access to the internet has access to ODA without charge. Any scientist who writes a world-class article concerning maximum-accuracy methods may publish in ODA without charge.

ODA is pleased to provide rapid, constructive reviews from world-class technical and applied experts. As manuscripts representing new areas of inquiry are submitted, additional substantive experts will be added to the Board of Editors. In addition, authors of all manuscripts submitted to ODA are required to provide a roster of qualified (and disqualified) reviewers for their work.

ODA is designed to be flexible, capable of growing in real-time to meet the needs of the scientific community. As new areas of inquiry are discovered they will be presented as a subsection of the Table of Contents. In the future, if a sufficient number of submissions within a given substantive discipline (e.g., psychology, education, finance, medicine, biology, space science) or subspecialty (e.g., clinical psychology, emergency medicine, molecular biology) begins to occur reliably, ODA will be expanded to include additional series.

ODA is working to provide a forum to allow real-time, world-wide discussion regarding all topics of relevance to the journal, and to provide international networking among scientists who speak a common language—maximum-accuracy methodology.

Author Instructions

ODA caters to the widest possible audience—students and scientists in all quantitative areas of inquiry.  Accordingly, manuscripts are sought representing all academic societies, many of which have their own formatting styles and manuscript preparation instructions. A particularly thorough author and article preparation set is offered by the Journal of the American Medical Society (http://jama.ama-assn.org/misc/ifora.dtl), and is recommended reading for all students and scientists.

Authors who wish to publish a manuscript in ODA should write keeping in mind the breadth of the audience’s background.  Articles should “blend” with others published in ODA in style and appearance, to the extent possible (copy editors may offer suggestions in this area).  Examine ODA articles similar in structure to the article you are preparing, and adopt a similar format.

Criteria for publication are standard: all authors on the paper must have contributed (the project described would not have been possible without each author’s contribution), all of the major contributors must be authors, and the manuscript must pass editorial review.  Prospective authors are encouraged to recommend any specific reviewer(s) with substantive expertise in the area of the submitted paper.

With respect to reference citations in the body of the manuscript, use numbers (see ODA for examples). With respect to reference citations at the end of the manuscript, adopt the style of the academic society of which you are a member (or in whose journals you publish), or the style of any other academic society of your choice. Hybrids are acceptable: essential information includes authors (list the first five authors, then use “et al.”), article, journal, year, volume, and pages. For books, list authors, title, year of publication, and publisher. Refer to articles in ODA for examples of reference citations.

Manuscripts MUST be submitted in Windows Word® 93 or later.  Format submitted manuscripts to appear as an article in ODA.  If authors are unable to produce such a manuscript, consulting word processing technicians are available at ODA at an hourly rate.  Permission to publish from all named authors is required for all accepted manuscripts prior to release.

Conflict-of-Interest

Financial relationships (such as employment, consultancies, stock ownership, honoraria, paid expert testimony) are the most easily identifiable conflicts of interest and the most likely to undermine the credibility of the journal, the authors, and of science itself. However, conflicts can occur for other reasons, such as personal relationships, academic competition, and intellectual passion. All potential (co)authors must disclose any potential conflicts of interest, and only articles having (co)authors without any potential conflicts of interest will be published in Optimal Data Analysis.

Informed Consent

Patients have a right to privacy that should not be infringed without informed consent. Identifying information, including patients’ names, initials, or hospital numbers, should not be published in written descriptions, photographs, and pedigrees unless the information is essential for scientific purposes and the patient (or parent or guardian) gives written informed consent for publication. Informed consent for this purpose requires that a patient who is identifiable be shown the manuscript to be published. Authors should identify Individuals who provide writing assistance and disclose the funding source for this assistance.

Identifying details should be omitted if they are not essential. Complete anonymity is difficult to achieve, however, and informed consent should be obtained if there is any doubt. For example, masking the eye region in photographs of patients is inadequate protection of anonymity. If identifying characteristics are altered to protect anonymity, such as in genetic pedigrees, authors should provide assurance that alterations do not distort scientific meaning and editors should so note. Only those articles for which these criteria have been satisfied will be published in Optimal Data Analysis.

Human and Animal Rights

When reporting experiments on human subjects, authors should indicate whether the procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2000 (5). If doubt exists whether the research was conducted in accordance with the Helsinki Declaration, the authors must explain the rationale for their approach, and demonstrate that the institutional review body explicitly approved the doubtful aspects of the study. When reporting experiments on animals, authors should be asked to indicate whether the institutional and national guide for the care and use of laboratory animals was followed. Only those articles for which these criteria have been satisfied will be published in Optimal Data Analysis.

ODA Editorial Board

Fred B. Bryant, Ph.D., Co-Editor

Professor, Department of Psychology, Loyola University Chicago, Chicago, IL.  Dr. Fred B. Bryant received his Ph.D. in social psychology from Northwestern University in 1980. He received a National Research Service Award from the National Institute of Mental Health for postdoctoral training in survey research at the University of Michigan’s Institute for Social Research (1979-82). In 1982, he joined the faculty at Loyola University Chicago as an Assistant Professor of Psychology, and was promoted to full professor in 1990. He teaches undergraduate and graduate classes in social psychology, research methods, advanced statistics, and structural equation modeling. He was faculty member of the year at Loyola University Chicago in 2005.  Dr. Bryant has roughly 200 professional publications in personality, social psychology, behavioral medicine, and psychometrics. He has helped secure more than $16 million in research grants. He is on the editorial board of the Journal of Personality Assessment and Basic and Applied Social Psychology. Dr. Bryant is perhaps best known for his work on “savoring,” or cognitive and behavioral processes underlying positive emotions. He has extensive consulting experience in applied settings including medicine, education, marketing, and program evaluation, and he has served as an expert witness in several federal court cases involving theory, methodology, and statistics in social and industrial-organizational psychology. Dr. Bryant has been using optimal data analysis to analyze research data since 1993.

Robert C. Soltysik, M.S., Consulting Editor

Independent Consultant.  Robert Soltysik received his M.S. in industrial and systems engineering from the University of Illinois at Chicago in 1983. He is currently developing statistical systems in collaboration and equal partnership with Paul Yarnold at Optimal Data Analysis, LLC. He has consulted for many national and global companies in the fields of operations research and statistics, including the development of a press sequencing optimization system for magazine manufacturing, a personnel-selection system for a national drugstore chain, and interactive internet-based clinical intervention systems. He is the co-discoverer of the ODA paradigm, has created numerous ODA software systems, and has authored nearly four dozen articles concerning theoretical and/or applied aspects of ODA.  Robert Soltysik and Paul Yarnold co-discovered the ODA paradigm, founded Optimal Data Analysis, and created a suite of software systems including UniODA™, MegaODA™, and CTA™.

Paul R. Yarnold, Ph.D., Editor

President, Optimal Data Analysis, LLC.  Dr. Yarnold received his Ph.D. in academic social psychology from the University of Illinois at Chicago in 1984. He joined the faculty of Northwestern University Medical School (NUMS) as an Assistant Professor of Internal Medicine in 1985, and simultaneously as Adjunct Assistant Professor of Psychology at the University of Illinois at Chicago (UIC). In 1991 he was promoted to Research Professor of Internal Medicine at NUMS, and Adjunct Professor of Psychology at UIC. In 2000 he changed primary affiliation to the Division of Emergency Medicine, and was instrumental in its ontogenesis into the Department of Emergency Medicine. During his tenure at NUMS he conducted research within Divisions including Rehabilitation, Cardiology, Cancer, Hematology/Oncology, Plastic Surgery, OB/GYN, Allergy/Immunology, Internal, Pediatric, Geriatric, Psychiatry, Hospital, Emergency, and Behavioral Medicine, and Health Psychology, and conducted a full-time research and development program in theoretical statistics. He published more than 460 peer-reviewed journal articles primarily in the fields of medicine, statistics, and psychology, five books, six software systems, earned more than $15 million in research funding, won several patents, served on four journal editorial boards and as Ad Hoc reviewer for 62 journals, and was elected Fellow of the Society of Behavioral Medicine, and of the American Psychological Association, in Divisions 5 (Evaluation, Measurement and Statistics) and 38 (Health Psychology).  In 2010, Paul left Northwestern University and the University of Illinois at Chicago to become an entrepreneurial scientist, and now focuses on furthering the development of the ODA paradigm.  Paul Yarnold and Robert Soltysik co-discovered the ODA paradigm, founded Optimal Data Analysis, and created a suite of software systems including UniODA™, MegaODA™, and CTA™.

International Breadth

Scientists in the following countries are following Optimal Data Analysis.

  1. Afghanistan
  2. Albania
  3. Algeria
  4. American Samoa
  5. Angola
  6. Argentina
  7. Armenia
  8. Australia
  9. Austria
  10. Azerbaijan
  11. Bahamas
  12. Bahrain
  13. Bangladesh
  14. Barbados
  15. Belarus
  16. Belgium
  17. Belize
  18. Benin
  19. Bhutan
  20. Bolivia
  21. Botswana
  22. Boznia & Herzegovina
  23. Brazil
  24. Brunei
  25. Bulgaria
  26. Burkina Faso
  27. Cambodia
  28. Cameroon
  29. Canada
  30. Cape Verde
  31. Cayman Islands
  32. Chile
  33. China
  34. Colombia
  35. Congo – Kinshasa
  36. Costa Rica
  37. Cote d’Ivoire
  38. Croatia
  39. Cuba
  40. Curacao
  41. Cyprus
  42. Czech Republic
  43. Denmark
  44. Dominican Republic
  45. Ecuador
  46. Egypt
  47. El Salvador
  48. Estonia
  49. Ethiopia
  50. Finland
  51. Fiji
  52. France
  53. French Polynesia
  54. Georgia
  55. Germany
  56. Ghana
  57. Greece
  58. Grenada
  59. Guam
  60. Guatemala
  61. Guernsey
  62. Guyana
  63. Haiti
  64. Honduras
  65. Hong Kong
  66. Hungary
  67. Iceland
  68. India
  69. Indonesia
  70. Iran
  71. Iraq
  72. Ireland
  73. Isle of Man
  74. Israel
  75. Italy
  76. Jamaica
  77. Japan
  78. Jordan
  79. Kazakhstan
  80. Kenya
  81. Kingdom of Swaziland
  82. Kosovo
  83. Kuwait
  84. Laos
  85. Latvia
  86. Lebanon
  87. Lesotho
  88. Liberia
  89. Libya
  90. Lithuania
  91. Luxembourg
  92. Macao
  93. Macau SAR China
  94. Macedonia
  95. Madagascar
  96. Malawi
  97. Malaysia
  98. Maldives
  99. Malta
  100. Mauritius
  101. Mexico
  102. Moldova
  103. Mongolia
  104. Montenegro
  105. Morocco
  106. Mozambique
  107. Myanmar
  108. Namibia
  109. Nepal
  110. Netherlands
  111. New Zealand
  112. Nicargua
  113. Nigeria
  114. Norway
  115. Oman
  116. Pakistan
  117. Palestinian Territories
  118. Panama
  119. Papua New Guinea
  120. Paraguay
  121. Peru
  122. Philippines
  123. Poland
  124. Portugal
  125. Puerto Rico
  126. Qatar
  127. Republic of Côte d’Ivoire
  128. Republic of Korea
  129. Republic of Macedonia
  130. Romania
  131. Russian Federation
  132. Rwanda
  133. St. Lucia
  134. Samoa
  135. San Marino
  136. Saudi Arabia
  137. Senegal
  138. Serbia
  139. Seychelles
  140. Sicily
  141. Sierra Leone
  142. Singapore
  143. Slovakia
  144. Slovinia
  145. Somalia
  146. South Africa
  147. South Korea
  148. South Sudan
  149. Spain
  150. Sri Lanka
  151. Sudan
  152. Suriname
  153. Swaziland
  154. Sweden
  155. Switzerland
  156. Syria
  157. Taiwan
  158. Tajikistan
  159. Tanzania
  160. Thailand
  161. Timor-Leste
  162. Togo
  163. Trinidad and Tobago
  164. Tunisia
  165. Turkey
  166. Turks & Caicos Islands
  167. Uganda
  168. Ukraine
  169. United Arab Emirates
  170. United Kingdom
  171. United Republic of Tanzania
  172. United States
  173. U.S. Virgin Islands
  174. Uruguay
  175. Uzbekistan
  176. Venezuela
  177. Vietnam
  178. Yemen
  179. Zambia
  180. Zimbabwe

 

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