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Research Methods By Kevin W. Jennings, Ph.D.


Research Methods By Kevin W. Jennings, Ph.D.
Research Methods By Kevin W. Jennings, Ph.D.
Published 9/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 9h 33m | Size: 10.8 GB


How science is (supposed to be) done.
What you'll learn
• Comprehensive Understanding of Scientific Social Research
• Critical Analysis of Existing Scientific Literature
• Creation of Academically Sound Research Proposals
• Development of Robust Research Methodologies
• Recognition and Mitigation of Ethical Considerations
• Enhancement of Communication Skills
Requirements
No experience needed.
Description
Science is the greatest process that humanity has for improving the world. From life saving medicine to the internet to predicting hurricanes to landing humans on the moon, science has led to humanity's greatest achievements. This course will teach you how that scientific process works, with details and examples of how and why each stage in the process should be performed. While primarily focusing on social science, this course is applicable to many areas of study. It covers topics as diverse as ethics, statistics, experiments, and validity. It will empower you not only to continue on a path to conducting your own research, but also to be a good, responsible consumer of research performed by others. Unfortunately, the world is full of people who want to take advantage of you. Frequently, these bad actors utilize pseudoscience to try and get people to believe things that just aren't true. This course will give you the skills to be able to recognize those false and misleading claims. It is a beneficial area of study, even if you never intend to conduct research yourself! Lectures in this course: IntroductionLogical ErrorsTypes of ResearchResearch QuestionsEthicsConceptualizationOperationalizationData and VariablesSamplingSampling MethodsTrue ExperimentsQuasi ExperimentsValiditySurveysSurvey Options and ProblemsQualitative ResearchQualitative MethodsSecondary DataEvaluation ResearchData AnalysisRegressionPapersCitations (APA)
Who this course is for
University students
People interested in science
Future Researchers
Social Scientists

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