When the tutor tells you to look for links "to the right", you should look below the video window instead.
There are two references to a BBC study that are causing problems:
People get a 404 error when trying to do the facial recognition test. This can be solved by removing the part of the URL after .shtml, starting with and including "?", then reloading the page.
After taking the test facial recognition test, there is no place to enter your score in the spreadsheet with scores. This step is not mandatory, not possible to complete and can be skipped.
Definitions / Glossary
(Mainly collected by Eva K.)
Blind: Used when suspecting knowing which treatments you're receiving might influence behavior and thus results
Causal conclusion: By randomly assigning cases to different conditions, a causal conclusion can be made; in other words, we can say that differences in the dependent variable are caused by differences in the independent variable. Without randomization, an association can be noted, but a causal conclusion cannot be made.
Constant: Something in your experiment that does not change
Constructs: Broad concepts or topics for a study / can be abstract and do not necessarily need to be directly observable (e.g. intelligence or life satisfaction)
Dependent variable: Y-axis (outcome)
Double blind: Considered as a blind for participants and researchers, it's is used on researchers to prevent affecting their judgment consciously or subconsciously, if they knew participants who took the real treatment and who took a placebo
Extraneous (or lurking) variable: Factors that could impact the outcome but are not considered in the analysis
Hypotheses: Statements about the relationships between variables
Independent variable: X-axis (predictor variable)
n: Sample size
Operational definition: A ways of turning constructs into variables we can measure / a way of describing a variable in terms of the way we measure it
Placebo: Something that has no impact on outcome but still used in the controlled experiment / is anything that seems to be a "real" medical treatment but it isn't. it is used for instance in a comparison group with those who took the real medication
Population: Includes all of the elements from a set of data
Population parameter (mu or µ): Number that describes a population
Populations and samples: Groups of people or items you want to study
Random sample: Technique used to make a sample out of population / everyone has the same chance of being selected / the selection of one item does not affect the chance of the next item being selected
Sample: Contains a part, or a subset, of a population
Sample statistic (X-bar or x̄): Number that describes a sample (we use statistics x̄ to estimate the population parameters µ)
Sampling error: Difference between the sample and the population average (µ - x̄)
Variable: Characteristic that describes individual data points