Does repeated measures increase internal validity?
Does repeated measures increase internal validity?
Repeated measures designs frequently have lower internal validity, in that there might be alternative explanations for the observed differences between experimental conditions. The best way to increase internal validity in a repeated measures design is to counterbalance the order of conditions.
What does a repeated measures design tell you?
What is a Repeated Measures Design? In a repeated measures design, each group member in an experiment is tested for multiple conditions over time or under different conditions.
How is internal validity measured?
Internal validity is a way to measure if research is sound (i.e. was the research done right?). If you run an experiment and avoid confounding variables, your internal validity is high; the more confounding you have, the lower your internal validity.
What are the 8 threats to internal validity?
There are eight threats to internal validity: history, maturation, instrumentation, testing, selection bias, regression to the mean, social interaction and attrition.
What are the advantages and disadvantages of repeated measures design?
Repeated measures
| Repeated measures | |
| Advantages No participant variables fewer participants required than when using other designs | Disadvantages Order effects- boredom, fatigue, practice Demand characteristics more likely Different tests and materials may be required for each condition |
| Evaluation |
Why do we need to repeat the measurement?
You repeat same thing multiple times, If it is in science experiment. E.g. if you are measuring temperature of water or weighing mass of something. In the end you can average the data and this helps to reduce random errors, which affect precision.
What are the advantages and disadvantages of a repeated measures design?
What strengthens internal validity?
Controls are required to assure internal validity (causality) of research designs, and can be accomplished in four ways: (1) manipulation, (2) elimination, (3) inclusion, and (4) statistical control, and (5) randomization.
What is internal construct validity?
Internal Validity refers to those factors that are the reason for affecting the dependent variable. Construct Validity refers to the type in which the construct of the test is involved in predicting the relationship for the dependent type of variable.
What are 9 internal validity threats?
Influences other than the independent variable that might explain the results of a study are called threats to internal validity. Threats to internal validity include history, maturation, attrition, testing, instrumentation, statistical regression, selection bias and diffusion of treatment.
