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Learner Iq And Media Preference

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Danielle Kearns-Sixsmith Professor Keri Heitner RES 723 University of Phoenix December 23, 2014 Learner IQ and Media Preference The purpose of this study is to examine if a correlation exists between learners ' IQ and instructional media preference. A sample of 165 students who were high school freshmen and sophomores, ranging in age from 14-16 years, and were enrolled in a college preparatory social studies course in a small mid-Atlantic private school were invited to participate. The purpose of this paper is to present the data analysis of this quantitative research study. Research questions and hypotheses The research question for this study was: What is the relationship between individuals ' IQ score and …show more content…

The alternate hypothesis was: There is a significant relationship between individuals ' IQ score rank and instructional media preference. In a correlational study, an alternate hypothesis claims that a relationship exists between the variables (Gilbert, 2006). A relationship means that where learners score on the Stanford-Binet Intelligence Scale is related to which medium they choose to use for instruction. Another way to write this is: Ha: ρXY ≠ 0, where Ha is the symbol for the alternative hypothesis, ρ for the significance which will be ≤0.5, and XY which represents the predictor variable, learner IQ, or X, paired with the criterion variable, or instructional media choice, or Y. For this study, the predictor variable, learner IQ score, is interpreted as a rank, an ordinal level of measurement and the criterion variable, instructional media preference, as a nominal level of measurement. According to Black (1999), Cramer 's C (also known as V) is an appropriate statistical measure when a single sample examines ordinal and nominal levels of measurement. In fact, using Black 's (1999) decision table for selecting association or correlation coefficients, the ordinal level of measurement, in this case learner IQ ranking, should be reduced to a nominal level (p.626). Descriptive statistics Univariate

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