Evidence-based-treatments
Therapies that are supported by research
Producer of research
Study things, analyze data, present
Consumer of research
Reading about research so they can apply it to their work, hobbies, life
Internal reliability
Different items give the same impression about the person. A person scores high on measures of a construct, and should also score high on other measures of the same construct in the test
Three components statistics and their meaning
Experimental design: stating the goal and planning how to get the data
Descriptive statistics: summarising/analyzing the data and seeing if there are patterns
Inferential statistics: making decisions and predictions based on the data
Inference
Drawing conclusions about the population, based on the sample
A statistic
A numerical summary of the data
A parameter
A numerical summary of the population
Interpretation of the standard deviation
A typical distance of an observation from the mean
Association
A particular value of one variable is more likely to occur with certain values of the other variable
Event
Subset of a sample space. An outcome or a group of possible outcomes (e.g. you throw six with a die = 6, you throw an even number with a die = 2,4,6, a randomly selected student is born in Berlin = Berlin
Statistics
The art and science of learning from data
Conditional probability
Chance of an event, when you know that another event has already occurred. e.g probability of your pet wanting to cuddle when it wags its tail
Empiricism
Use verifiable evidence as the basis for conclusions
Known-groups-paradigm
Researchers see if the scores differ from a group whose behavior is already known
Margin of error
The measure of the expected variability from one random sample to the next random sample
Bar graph vs Histogram. For what different variables are they
Bar graph: categorical variable Histogram: quantitative variable
Pth percentile
P percent of the observations fall below or at that value
Whisker
Show the stretch of the rest of the data, except for potential outliers (these are shown separately)
Association
Particular variables for one variable are more likely to occur with certain values of the other variable
Conditional proportion
Refer to a particular row or column on the contingency table (so conditional on one thing)
Marginal proportion
Refer to the sum of a row or column on the contingency table. So the total of one row or collumn, compared to the overall total of everything
Correlation
Summarizes the strength and direction of the linear association between two quantitative variables
Phenomena
Any observable occurrences
