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CAUSE Teaching and Learning Webinar December 14, 2010 Dianna Spence and Brad Bailey North Georgia College & State University This work supported by grants NSF DUE-0633264 and NSF DUE-1021584
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Introduction and rationale Scope and types of projects Collecting real-world data Crafting meaningful research questions Sample student projects Statistical research focal points Evaluating student work Questions and discussion
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Projects involving Student-initiated inquiry Student collection and organization of data Student analysis and interpretation of data Student reporting and presenting of results Such projects are …consistently recommended in the literature …often not implemented as part of instruction
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Scope of Projects Student tasks during project Identify research constructs Define suitable variables, including how they can be quantified and measured Design research question Submit research proposal and obtain approval Collect data Design unbiased data collection method Address sampling issues Analyze and interpret data Write a report on methods and results Present research and findings to class
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Linear regression Key analysis tasks Find and interpret Scatter plot r Prediction equation Slope in equation R 2 t-Tests Designs 1-sample 2 dependent samples 2 independent samples Key analysis asks Select appropriate design Identify hypotheses H 0 /H a Find and interpret t statistic p-value
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Collecting Data: 3 Categories Administer surveys Primary focus of Phase I materials Makes survey design an element of the project Find data on the Internet Physically go out and record data e.g., measure items, time events with a stopwatch, look at prices, look at nutrition labels
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Internet Data Sources I. Government/Community Census Bureau: http://www.census.gov/ http://www.census.gov/ Bureau of Justice Statistics: http://bjs.ojp.usdoj.gov/index.cfm?ty=daa http://bjs.ojp.usdoj.gov/index.cfm?ty=daa City Data Site: http://www.city-data.com/ http://www.city-data.com/ State and county statistics sites State and national Dept.’s of Education County tax assessment records
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Internet Data Sources II. Restaurants: Nutrition Info Applebees: http://www.applebees.com/downloads/nutritional_info.html http://www.applebees.com/downloads/nutritional_info.html Arby’s: http://www.arbys.com/nutrition/Arbys_Nutrition_Website.pdf http://www.arbys.com/nutrition/Arbys_Nutrition_Website.pdf Burger King: http://www.bk.com/cms/en/us/cms_out/digital_assets/files/pages/Nutritio nInformation.pdf http://www.bk.com/cms/en/us/cms_out/digital_assets/files/pages/Nutritio nInformation.pdf McDonalds: http://nutrition.mcdonalds.com/nutritionexchange/nutritionfacts.pdf http://nutrition.mcdonalds.com/nutritionexchange/nutritionfacts.pdf Ruby Tuesday’s: http://www.rubytuesday.com/assets/menu/pdf/informational/nutrition.pdf http://www.rubytuesday.com/assets/menu/pdf/informational/nutrition.pdf Student’s favorite place to eat?
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Internet Data Sources III. Sports Data Sports Statistics Data Resources (Gateway) http://www.amstat.org/sections/SIS/Sports Data Resources/ http://www.amstat.org/sections/SIS/Sports Data Resources/ NFL Historical Stats: http://www.nfl.com/history http://www.nfl.com/history Individual team sites
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Internet Data Sources IV. Retail/Consumer (General) Cost/Prices e.g., Kelley Blue Book: http://www.kbb.com/ http://www.kbb.com/ Consumer Report ratings. http://www.consumerreports.org/cro/index.htm http://www.consumerreports.org/cro/index.htm Product Specifications e.g., size measurements, time/speed measurements, MPG for cars
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Show students resources for collecting data Show students sample projects Critique and improve on former student projects Brainstorm with students about their interests Offer points for originality
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Sample Student Projects Matched Pairs t-Test: 2-tailed: H a predicting that on average, students’ rating of Coke and Pepsi would be different. t statistic =2.62 P value= 0.0116 (2-tailed) Conclusion: Evidence that on average, students rated the two drinks differently (Coke was rated higher) Participant Coke Pepsi #1 89 #2 7 5...
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Sample Student Projects t-Test for 2 independent samples: 1-tailed: H a predicting that on average fruit drinks have higher sugar content per ounce than fruit juices t statistic = -0.14 P value= 0.5555 Conclusion: Sample data did not support H a. No evidence that on average, fruit drinks have more sugar than fruit juices.
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Sample Student Projects t-Test for 2 independent samples: 1-tailed: H a predicting that in local state parks, oak trees have greater circumference than pine trees on average t statistic = 4.78 P value= 7.91 x 10 –6 Conclusion: Strong evidence that in local state parks oak trees are bigger than pine trees on average. Lurking variable identified and discussed: age of trees (and possible reasons that oak trees were older)
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Sample Student Projects
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Selecting appropriate variables Categorical or quantitative? Defined construct? How measured and quantified? Appropriateness of data analysis method for proposed data and research question Data collection techniques Potential survey design issues Sampling strategies Interpretation of results in context
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Getting started Form groups Define project scope Brainstorm Project proposal(s) Definition of variables, research question Proposed data collection and sampling methods Survey and IRB if applicable Data collection Data analysis Project report Presentation
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Assessment Weight of Projects Scoring Rubrics Advantages Consistency Manageability Communicate expectations Encompass All Project Components Grade milestones along the way Resources for Rubrics Team Member Grades Accountability of Individual Members Shared Team Grade Individual Contribution
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NSF Grant Project Web Page http://radar.northgeorgia.edu/~djspence/NSF/index.htmlhttp://radar.northgeorgia.edu/~djspence/NSF/index.html Links to curriculum materials Overview of both grants and progress updates Contact Information Brad Bailey bbailey@northgeorgia.edu bbailey@northgeorgia.edu Dianna Spence djspence@northgeorgia.edu djspence@northgeorgia.edu
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