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A researcher plans to do an experiment in the college setting concerning the effects of class...

A researcher plans to do an experiment in the college setting concerning the effects of class size on attendance in a first year law course. He has four levels of size, namely, 15, 25, 40, and 60 students. Four colleges are involved in the study, each having eight first-year law classes, two of each class size. The researcher can assign students at random to a class within a college. All professors teach four classes; the dependent variable is grades measured after one semester. Discuss the problems of control in this situation. Consider possible uncontrolled variables and variables that are or might be controlled. Is there a possibility of confounding variables in this research situation? State one or more hypotheses for this experiment.

Solutions

Expert Solution

solution :

there are 4 levels of size of 15, 25, 40, 60

the 8 law classes running of first year in a school is each class. So there are 4 school are taking an interest in analysis

. In every law classes there are 2 of every one of class estimate implies 30, 50,80, 120 understudies in every first year law classes. so In eight classes the measure of class are following 240, 400, 640, 960 understudies. So 2240 understudies in every school of first year law understudies. all teacher trains 4 classes. what's more, Controlled variable is steady in the experiement and Uncontolled varibles that are changes all through the analysis. what's more, issue that will be come in this circumstance is the stength of understudy are high so there would be issue to take attendence of first year law understudy So we have increse the span of class and other issue will understudy will be effortlessly withdrawn amid the address, it will be not all that simple to see amid an address. the teacher can move between the understudies for querry session on account of such quality

what's more, hypothesis for their sitting arrangement will following

1.traditional one

2. U shaped sitting model


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