The "Scores" tab reports the average scores for the items across respondents. Also, the 95% confidence interval for each is displayed. Scores can be displayed as a chart or a table and the results can be downloaded.

## Rescaling Method

## Confidence Intervals

The 95% confidence interval provides an indication of how much certainty we have regarding our estimate of the item's score. The interpretation is this: if we were to repeat the experiment many, many times (drawing a new random sample in each case), the population's true mean would fall within the computed confidence interval in 95% of the experiments. In other words, we are 95% confident that the true mean for the population falls within the 95% confidence interval (again, assuming unbiased, random samples). The 95% confidence interval is computed by taking the item's mean, plus or minus 1.96 times its standard error. The standard error for each score is computed by dividing its standard deviation by the square root of the sample size.