Standard Error is a measure of the amount of sampling error present and it is equal to the standard deviation. Standard Error of the Mean see standard deviation. Standardisation is a scale transformation procedure that involves manipulating data from different types of scales so that they can then be compared. It consists of subtracting the sample mean from each score and dividing by the standard deviation. Stapel Scale is a type of categorical, non-comparative scale that is similar to a semantic differential scale except that instead of having two opposing adjectives, there is only one adjective in between a sequence of positive and negative categories.
Respondents indicate how relevant each single characteristic is to an object in question.
The test units are not assigned randomly between both groups. The experimental group is exposed to a treatment and afterwards, both groups are measured. Statistical Design is a type of experimental design that allows for the statistical analysis and control of external variables. Statistical Efficiency involves a comparison of the sampling errors generated by different sampling procedures. A statistically efficient sampling procedure is one that produces fewer sampling errors for the same sample size than the other procedures.