External validity represents that extent to which our research samples accurately representing the populations to which we wish to generalize our findings. Ideally, we want to have perfectly representative samples each time, but that is impossible for two reasons. The first is that ethically we must allow potential participants to decide whether they will participate, and unless all of the participants sampled say yes, we will have some selection bias due to this ethical demand. The second is that it is very difficult to get perfectly representative samples. What we do instead is attempt to select random samples. With random samples, we know we can statistically determine the likelihood that any given sample is representative and take that into account in our inferential statistics.
A true random sample is drawn by taking all of the individuals in our population, or more likely all of the individuals in our accessable population, giving each of them a sequential number, and then selecting the number of participants needed by using random numbers. We can obtain random numbers from either a random number table or from a random number generator. We will describe the use of both in this unit, although we will emphasize the use of a random number generator program. We have included on this CD a free copy of a random number generator program, which was written specifically for this textbook.
We have included a Table of Random Numbers in Appendix D. At the beginning of Appendix D is a brief set of instructions. To select a random sample of participants from a population or accessible population, you should do the following:
Selecting the set of unique numbers from the random number table usually involves several steps.
This sampling procedure works fine, but it is tedious. The Random Number Generator Program does much of the tedious work for you.
With the Random Number Generator Program, we can derive a list of random numbers to use for sampling in just a few seconds. We still must number all of the potential participants in our accessible population so that we will know which participants are referenced by the set of random numbers.
The Random Number Generator Program will run on DOS or Windows. The program is on a file called randnum.exe on the subdirectory of this CD called random. You should copy it to your hard drive to run the program. We will illustrate how to start this program in Windows 95 using Windows Explorer. First, open the Windows Explorer Program and click on the drive that has the randnum.exe program. You will see a number of subdirectories or folders. Click on the folder that contains your copied randnum.exe program, which will give you this screen. Double clicking on the file randnum.exe will start the program and open this window for you. To randomly select participants from a pool, you want to select the first option--"list of random numbers." Doing so will give you this screen. Normally for selecting participants, you will want to have a list of random numbers that does not include duplicates, which is option #2. Selecting that option gives you this screen. The program then requests information about the sample and population size from you. Suppose we want to select 50 subjects from our accessible population of 1217 people. We would then enter 50 as the number of random integers that we want to generate, 1 as the smallest number, and 1217 as the largest number, as shown in this screen. Hitting return starts the program and generates the 50 random numbers you requested, producing this screen. You may want to note that the program writes its output to a file (rand-out.txt) on the same subdirectory as the randnum.exe program resides. This text file can be opened with any wordprocesser, including Notepad or Wordpad and can be printed for a permanent record.
If you want to carry out stratified random sampling using the Random Number Generator Program, you begin by creating the strata and determining how many subjects you want to sample from each strata. You then treat each strata as if it were its own accessible population, and you use the same procedures described above.