![]() ![]() ethnicity) on the outcome variable when controlling for other variables also associated with the outcome (e.g. To gauge the effect of one explanatory variable (e.g.Are the effects in the sample sufficiently large relative to their standard errors that they are likely to be true in the population? Remember that this data represents only a sample (although a very large sample) from the population of all students in England (approximately 600,000 students in any one year group). To evaluate the statistical significance of the above associations.Why would we want to get involved in logistic regression modelling? There are three rather good reasons: So we can see the associations between ethnic group, social class (SEC), gender and achievement quite clearly without the need for any fancy statistical analysis. ![]()
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