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EDU 6982 – EDUCATIONAL INQUIRY
DR. KAREN SMITH, INSTRUCTOR
Nutrition Group Research ProposalGroup Members: Kimberly Robinson, Jessica Rottweiler, Kathe Sehmsdorf,
Nick West
Research Topic
Topic: Nutrition and Impact on Academic Performance
Question: Is there a correlation between dietary nutrition and performance on the IOWA Basic Skills Test?
Research Hypothesis
Hypothesis: There is a positive
correlation between dietary nutrition
levels and academic performance.
Variables and Population
Independent: Dietary Nutrition Levels (Food Choice Inventory)
Dependent: Academic Performance (IOWA Test of Basic Skills)
Population: 11th graders (middle income) in Washington state
Review of LiteratureEffect of a 12 month micronutrient intervention on learning and memoryin well nourished and marginally nourished school-aged children: 2parallel, randomized, placebo-controlled studies in Australia andIndonesia. (2007)
Experimental Tested:
Mix of micronutrients – marked improvements on verbal learning and memory
Fatty acids - inconclusive
Micronutrients and fatty acids – same as above, fatty acids = no effect
Control (placebo)
Review of Literature
The impact of a two-year breakfast program for preschool-aged children on their nutrient intake and pre-academic performance. (1999)
Experimental Tested:
Effect of School Breakfast Program on cognitive performance
Conclusion: Nutritionally balance breakfast has positive impact on cognitive performance
Review of Literature
Effects of Nutrient Intake on Task Performance in a Sample of Inner-City Elementary School Children (2001)
Non-experimental
Conclusion: Food stamp recipients eat more poorly as the month progresses and academic performance coincides
Subjects & Sampling Procedures
Subjects: 500 - 11th grade (middle income) public school students
in WA state from rural, urban and suburban school districts
Sampling: #1 – Convenience (districts in WA that administer ITBS) #2 - Stratified Random Sampling (urban, suburban, rural) #3– Volunteer Participants (school administrator permission) #4– Middle Income Survey respondents selected
Instrumentation
ITBS (Iowa Test of Basic Skills)
Food Choice Inventory Assesses food choice behaviors of junior and
senior high school students and adults. Survey question accounting for income
bracket
Quantitative Research Design
Non-experimental
Simple correlation
Learning Process
Originally Experimental Implementation of school lunch
Challenges: High cost Subject compliance Parental and school permission
Hair sample micronutrient level test Challenges:
Extremely high cost Subject compliance Parental and school permission
Learning Process Non-Experimental
Less costly No intervention necessary
What Design??? Original Design
multilevel logistic regression account for co-variance of socio-economic status with
dependent and independent variables
Current Design simple correlation
account for co-variance of income level status with dependent and independent variables more simply using middle income bracket as qualifier
References
The NEMO Study Group. (2007). Effect of a 12 month micronutrient intervention on learning and memory in well-nourished and marginally nourished school-aged children: 2 parallel, randomized, placebo-controlled studies in Australia and Indonesia. American Journal of Clinical Nutrition, 86(4), 1082-1093. (ERIC Document Reproduction Service No. EJ824000) Retrieved January 22, 2009, from ERIC database.
Walingo, Mary K. and Musamali, Betty. (2008). Nutrient Intake and Nutritional Status Indicators of Participant and Nonparticipant Pupils of a Parent-Supported School Lunch Program in Kenya. Journal of Nutrition Education and Behavior, Vol. 40, No. 5, 298-304.
Florence, M.D., Asbridge, M. & Veugelers, P. (April 1, 2008). Diet Quality and Academic Performance. Journal of School Health, 78(4), 209-215 (ERIC Document Reproduction Service No. EJ812000) Retrieved
January 30, 2009, from ERIC database. Worobey, John, Rutgers U & Worobey, Harriet S. (1999). The impact of a
two-year breakfast program for preschool-aged children on their nutrient intake and pre-academic performance. Child Study Journal, Vol29 (2), 113-131 ((ERIC Document Reproduction Service No. EJ 0009-4005) Retrieved February 3, 2009, from ERIC database.
References Worobey, J., Worobey, H. S., Johnson, E. & Hamm, M. (2001, Apr. 21).
Effects of Nutrient Intake on Task Performance in a Sample of Inner City Elementary School Children. Society for Research in Child Development Conference.
Wyon, D. P., Abrahamsoson, L., Jartelius, M. & Fletcher, R. J. (1997). An experimental study of the effects of energy intake at breakfast on the test performance of 10-year-old children in school. International Journal of Food Sciences and Nutrition, (48), 5-12.
Voiland, A. (November 3, 2008). Rethinking School Lunch. U.S. News & World Report, 145(10), 65.
Taras, H. & Potts-Datema, W. (October 2005). Obesity and Student Performance at School. Journal of School Health, 75(8), 291-295
Pollit, E. & Mathews, R. (1998). Breakfast and cognition: An integrative summary. American Journal of Clinical Nutrition, 67(4), 804-813.
Cromer, B.A., Tarnowski, K.T., Stein, A.M, Harton, P. & Thornton, D.J. (1990). The school breakfast program and cognition in adolescence.
Developmental and Behavioral Pediatrics, 11 (6), 295-300.