Thread: Experimental design: Gender comparison in a novel memory matrix.

1. Experimental design: Gender comparison in a novel memory matrix.

Hello,
I am a medical student who knows very little about biostats and would like some one to tell me whether my analysis for my research makes sense.
I am studying the effect of color on working memory in both genders which will require them see a visual stimulus of each color (red or blue) for 100 milliseconds after which a cover matrix will be shown, followed by a test matrix which they will have to determine whether it is the same as the initial stimulus shown.
I have planned to compare the results of each gender for each color, will that be enough to convey the affects of color on memory in the two genders?
Is there any better statistical method that I could apply?

2. Re: Experimental design: Gender comparison in a novel memory matrix.

Comparing the genders is one usual way of doing this. So yes your current research protocol is acceptable. But using more advanced methods that allow you to simultaneously compare the genders while comparing the colors at the same time is better. For this, you should first tell us what is your "memory" variable? Is it continuous? Does it range between 0 and 100 for example? Another example of a continous memory variable is the response time etc. Or is it dichotomous? (are the responses limited to "yes I remember / no I don't?)... Or are there levels to the memory variable (eg, zero, weak, moderate, strong, perfect)? If the memory variable is continuous, you should do a two-way ANOVA or a regression analysis.

3. Re: Experimental design: Gender comparison in a novel memory matrix.

Thank you for responding,

I was going to use the percentage of true positives (when the test stimulus and learning stimulus are the same) and false positives (when a person responds yes when the test and learning stimulus are not the same) as a measure of their memory, making it continuous data.
My sample is just 25 people for each gender, so will this small sample size still give accurate results if I apply ANOVA?

4. Re: Experimental design: Gender comparison in a novel memory matrix.

It depends. you should check for its assumptions. Ask a statistician from your university.

5. Re: Experimental design: Gender comparison in a novel memory matrix.

okay, thank you for your help.

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