EDUC 150
Introduction to Quantitative Research in Education: Claims and Evidence
Description: Lecture, two hours; discussion, two hours. Requisite: course 35. Introduction to four conceptual tools used to evaluate soundness of conclusions drawn from research evidence: notions of internal validity, statistical validity, construct validity, and external validity. Statistical validity requires basic fluency with quantitative data analysis, which students learn using statistical software R. Analysis of how values and beliefs shape quantitative education research and how research findings get translated when they are reported for popular media audiences. Quantitative background is not required. Letter grading.
Units: 5.0
Units: 5.0
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Most Helpful Review
Winter 2022 - Dr. Tobiason is THE BEST!!! There were 3 quizzes, weekly reading questions (RRQs), homework (done in R Studio) that you complete with your groupmates almost every week, one presentation (super short and easy), and learning check ins after each lecture. It may sound like a lot, but the way the class is split it is super manageable and not at all hard. She also is willing to move deadlines for the betterment of the class and everyone's understanding. Her lectures are straightforward, clear, and give you all the information you need for homeworks, quizzes, and learning check ins. She is more than happy to help, and the TAs were amazing and made learning R easier. They were also willing to answer any questions whenever my groupmates and I needed extra help. I highly recommend taking this class. As long as you do the work (which is super easy and manageable), you will get an A!
Winter 2022 - Dr. Tobiason is THE BEST!!! There were 3 quizzes, weekly reading questions (RRQs), homework (done in R Studio) that you complete with your groupmates almost every week, one presentation (super short and easy), and learning check ins after each lecture. It may sound like a lot, but the way the class is split it is super manageable and not at all hard. She also is willing to move deadlines for the betterment of the class and everyone's understanding. Her lectures are straightforward, clear, and give you all the information you need for homeworks, quizzes, and learning check ins. She is more than happy to help, and the TAs were amazing and made learning R easier. They were also willing to answer any questions whenever my groupmates and I needed extra help. I highly recommend taking this class. As long as you do the work (which is super easy and manageable), you will get an A!
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