SOAN 2120 Lecture Notes - Lecture 13: Random Number Generation, Dependent And Independent Variables, Statistical Significance

• School: University of Guelph
• Department: Sociology and Anthropology
• Course: SOAN 2120
• Professor: David Walters

Document Summary

Experimental designs: independent variable dependent variable (differences in outcomes between two groups, equivalent. Average scores on the dependent variable and. Scores on all other variables which are likely to impact the dependent variable: differences: manipulation, more complicated deigns. Experimental deigns: how do we establish the equivalence of two (or more) groups, random number generator, objective: equal probability of assignment, essential (cid:523)the groups are (cid:498)equivalent(cid:499)(cid:524), conclusion: manipulation. Experimental designs: without ra: findings may be attributable to pre-existing differences between the groups, what is this called, we could compare pre-test scores (dependent variable measures) before the experiment begins. What about all the other potential confounding variables. This happens automatically with random assignment assignment had taken place. Experimental design (many groups: simulated driving video games to assess the impact of various substances on driving impairment, x is what experimental condition you"re in, o"s are the numerical values.