To supplement the textbook presentation of true experiments with an application of the method to a simple motor task and the use of appropriate statistics to evaluate the data with respect to the null hypothesis.
IV is degree or level of feedback on a motor task (DV). IV has 3 levels or amount of feedback on performance on line drawing accuracy. These are:
• No feedback: no information on subjects’ performance is given to them.
• Low feedback: subjects are told if their response was above or below the standard line after each attempt, but not by how much they were off
• High feedback: subjects are told exactly how far their response was above or below the standard line each time.
how far, in inches, the subjects’ final line is from the standard or comparison line on the 3rd trial (try) while being blindfolded.Someone in each group needs to measure and record the distance on the final try from the standard line; how much error there was.Because this will be an experiment (not correlational or quasi-experiment), I will show you how to truly randomly assign subjects to level of the IV using a table of random numbers. (This will be painful.) This should balance out preexisting differences inability to match the standard line so all 3 groups are equally good, or bad, at the beginning. Thus differences can be traced to the IV alone. That’s the theory. Talk about the project with others if you need to, BUT write up below to be done by each student. Please type (and save) and submit on Blueline. (See next page.) I’ll leave a video emphasizing some key points about this assignment.
Use SPSS for analyzing your results for the effect of the IV on the DV: Analyze, then Compare means, for differences between groups. Use ANOVA design because you have 1 IV and it has 3 levels. T-tests are illegal in this situation; only with 2 means do we use t. Wouldn’t hurt to review those few pages in chapter 9 dealing with ANOVA with 1 IV.What were the 3 means and standard deviations (by condition):
No feedback: M = S =
Low feedback: M = S =
High feedback: M = S =
• What decision do you make about the null and alternative hypotheses from your data and statistical analysis? We always end up doing this.
• What statistical test did you use and
• what was the value of the statistic and
• its p-value?
• Now integrate this information from above. How did you use the information to inform your decision about H0 and H1
The null hypothesis is: ____________________________________
_________________________________________________________
The research hypothesis is: _________________________________
_______________________________________________________
The statistic used (type of test) and its obtained value – the outcome of the statistical test
This are from the SPSS output window
Stat:______________________________________
Value: ______________________________________
Its p-value __________
Did you accept or reject Ho? Why did you reject or not reject Ho?
_______________________________________________________
Which conditions or IV groups were significantly different from each other, if any? Explain why you think they were different. Your conclusions should be justified by the results of the post hoc tests and you should communicate them to me in your answer.For maximum credit make it very clear to me you understand the process and can communicate it to me with ambiguity or “you know what I meant”.
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