Stats Test 1

we are more likely to believe an argument with incorrect reasoning it has a logical claim

the results of 1 trial may be different than the overall data

you have to take the number of people in each category within the entire population into account

concept that cannot be directly observed

method used to gather data

results

turning a construct into a measurement

being precise about what you are measuring, choose an appropriate method, define variables

discrete categories

ranked categories

ranking with known intervals

ranking with known intervals and a meaningful 0

for any data point there can be an intermediate value

interval and ratio

there are 2 data points without an intermediate value in between them

nominal, ordinal, interval, ratio

measuring preferences on a scale

getting similar results across multiple repeats of an experiment

2 different people get consistent measurements

do different parts of the measurement that perform the same function give similar answers

doing the explaining

being explained

extent to which you can draw causal relationships between variables

extent to which you would see the same results in the general population

are you measuring what you think you’re measuring

do the questions appear to be measuring that they are intended for

how consistent scores are

how accurate the data are

average

middle value

number that occurs most often

fewer values at high numbers, median closer to 25th percentile, mean is less than median

more values at high numbers, median closer to 75th percentile, mean is greater than median

how pointy a graph is

greatest value-smallest value

75th percentile-25th percentile

degrees away from the mean

measure that takes outliers into account and magnifies them

standardizing data to compare two unrelated constructs and interpret results in terms of standard deviation