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Statistical Fundamentals: Using Microsoft Excel for Univariate and Bivariate Analysis Alfred P. Rovai Data Ethics PowerPoint Prepared by Alfred P. Rovai.

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Presentation on theme: "Statistical Fundamentals: Using Microsoft Excel for Univariate and Bivariate Analysis Alfred P. Rovai Data Ethics PowerPoint Prepared by Alfred P. Rovai."— Presentation transcript:

1 Statistical Fundamentals: Using Microsoft Excel for Univariate and Bivariate Analysis Alfred P. Rovai Data Ethics PowerPoint Prepared by Alfred P. Rovai Presentation © 2015 by Alfred P. Rovai Microsoft® Excel® Screen Prints Courtesy of Microsoft Corporation.

2 Copyright 2015 by Alfred P. Rovai Ethics Ethics is the study of right and wrong. Data ethics represent the application of social and individual moral values and professional standards to collecting human subjects data, analyzing such data, and reporting findings. Adhering to ethical standards helps keep one not only moral but also within the law. Although the application of data ethics vary somewhat by profession, e.g., business, health services, and education, there are elements of commonality across all professions.

3 Statistician’s Responsibilities Copyright 2015 by Alfred P. Rovai 1. Identifies and discloses conflicts of interest. 2. Promotes quality by maintaining competency in statistical methods and uses only appropriate statistical procedures. 3. Respects differences of opinion. 4. Obtains Institutional Review Board (IRB) review and approval of the research protocol before any data are collected. 5. Obtains informed consent from all research participants prior to data collection. 6. Maintains awareness of and follows applicable statutes and regulations. 7. Acknowledges the contributions and intellectual property of others. 8. Ensures data collection, analysis, and reporting reflect the unbiased search for truth.

4 Potential Problems Copyright 2015 by Alfred P. Rovai 1. Responsibilities to one’s employer and the public interest can conflict. 2. Insufficient statistical knowledge and skills of the researcher, e.g., the researcher is a content expert and not a research/statistics expert. 3. Ignoring unfavorable data or results. 4. Using biased samples, i.e., samples that are not representative of the target population. This includes using very small samples sizes and/or using a biased sampling procedure. 5. Confusing statistical significance with practical significance (i.e., effect size). 6. Using biased questions on a survey. 7. Failing to be intellectually honest, such a conducting research to prove a point and not being open to other conclusions. 8. Overgeneralizing results beyond the target population. 9. Ignoring statistical error.

5 1. Identifies and discloses conflicts of interest. Copyright 2015 by Alfred P. Rovai Remains alert to conflicts that can arise at anytime, e.g., employer & public interest. Discloses conflicts to all relevant people in a timely and effective manner. Takes action to mitigate the conflict. Removes any perception of private benefit.

6 2. Promotes quality by maintaining competency in statistical methods and uses only appropriate statistical procedures. Copyright 2015 by Alfred P. Rovai Keeps informed. Uses the latest statistical methods. Evaluates test assumptions and reports the results. Selects and uses the best statistical test.

7 3. Respects differences of opinion. Copyright 2015 by Alfred P. Rovai Identifies and reports differences of opinion. Recognizes that differences of opinion do not necessarily represent error. Shows respect for different opinions. Manifests courtesy toward other researchers.

8 4. Obtains Institutional Review Board (IRB) review and approval of the research protocol before any data are collected. Copyright 2015 by Alfred P. Rovai Involves obtaining data through intervention or interaction or obtaining identifiable private information. All human subjects research must receive approval from an appropriate IRB. A research protocol may qualify for exemption if it meets certain criteria. A research protocol that does not qualify for exemption may be eligible for expedited review.

9 5. Obtains informed consent from all research participants prior to data collection. Copyright 2015 by Alfred P. Rovai Founded on the principle of respect for persons. Discloses to potential research subjects information needed to make an informed decision. Facilitates the understanding of what has been disclosed. Promotes the voluntariness of the decision about whether or not to participate in the research.

10 6. Maintains awareness of and follows applicable statutes and regulations. Copyright 2015 by Alfred P. Rovai Family Education Rights and Privacy Act (FERPA) Individuals with Disabilities Education Act (IDEA) Health Insurance Portability and Accountability Act (HIPPA) Informed consent of a child (under 18) generally also requires parental permission

11 7. Acknowledges the contributions and intellectual property of others. Copyright 2015 by Alfred P. Rovai Properly cites the work of others Provides proper authorship credit Follows copyright law in getting permission to reproduce work Provides adequate credit and avoids plagiarism

12 8. Ensures data collection, analysis, and reporting reflect the unbiased search for truth. Copyright 2015 by Alfred P. Rovai Collects data in an objective manner Avoids falsification, fabrication, and use of unorthodox methods Reports adequate statistics to include negative as well as positive results Clearly identifies all study limitations and weaknesses

13 Copyright 2015 by Alfred P. Rovai 1. Be proactive in preventing the occurrence of ethical problems 2. Cope with ethical problems as they arise Approaches to Ethical Problems

14 Copyright 2015 by Alfred P. Rovai Preventing Problems Study previous ethical problems. Participate in education and training programs that address ethical issues in one’s discipline and profession Maintain situational awareness during the course of planning, data collecting, analysis, and reporting Avoid pressuring research participants Respect confidentiality and privacy Follow the Hippocratic dictum: First do no harm Be transparent, i.e., free from deceit Tap into ethics codes governing one’s profession, e.g., American Educational Research Association, American Psychological Association, American Statistical Association, etc.

15 Copyright 2015 by Alfred P. Rovai Dealing with Problems Speak up about ethical problems Identify issues and parties involved Consult with colleagues, peers, and stakeholders Identify options, analyze options in terms of moral principles, consider consequences, arrive at a decision, and act with commitment Maintain situational awareness during the course of planning, data collecting, analysis, and reporting

16 Copyright 2015 by Alfred P. Rovai Statistics cannot compensate for the negative impacts of: persisting in a faulty line of research using a faulty research design

17 Data Ethics End of Presentation Copyright 2015 by Alfred P. Rovai


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