Week 2 - Research design and reporting Flashcards
Quantitative designs is the process of:
is the process of collecting and analyzing numerical data. ]
It can be used to find patterns and averages, make predictions, test causal relationships, and generalize results to wider populations.
Binary data
Binary data is data whose unit can take on only two possible states.
0 v 1
Discretet
e.g. would you like cake; yes or no?
Continuous data
Real numbers - decimal component
Whole numbers
integer data
4 ways in which the difference values of variables can differ:
The values of the variable reflect different magnitudes and have an ordered relationship to one another – that is, some values are larger and some are smaller.
Identity
There are four ways in which the different values of a variable can differ:
The values of the variable reflect different magnitudes and have an ordered relationship to one another – that is, some values are larger and some are smaller.
Magnitude
There are four ways in which the different values of a variable can differ:
nits along the scale of measurement are equal to one another. This means, for example, that the difference between 1 and 2 would be equal in its magnitude to the difference between 19 and 20.
Equal intervals
There are four ways in which the different values of a variable can differ:
The scale has a true meaningful zero point. For example, for many measurements of physical quantities such as height or weight, this is the complete absence of the thing being measured.
Absolute zero
A_______ variable satisfies the criterion of identity, such that each value of the variable represents something different, but the numbers simply serve as qualitative labels, this is known as a ________ scale
Nominal scale
An ______ variable satisfies the criteria of identity and magnitude, such that the values can be ordered in terms of their magnitude. For example, we might ask a person with chronic pain to complete a form every day assessing how bad their pain is, using a 1-7 numeric scale, this is known as a ______ scale
Ordinal scale
An ________scale has all of the features of an ordinal scale, but in addition the intervals between units on the measurement scale can be treated as equal.
Interval scale
A ________scale variable has all four of the features outlined above: identity, magnitude, equal intervals, and absolute zero
The difference between a ______ scale variable and an interval scale variable is that the ______ scale variable has a true zero point. Examples of ______ scale variables include physical height and weight, along with temperature measured in Kelvin.
Ratio
Observational research variables are known as:
Predictor and Outcome variables
In quasi-experimental and experimental research, the IV will do the explaining and is manipulated by the researcher. TRUE or FALSE
True
Predictor variable: is a factor of interest and is being _______
measured
Outcome variable: is being measured in relation to the predictor; usually an ______
exposure
Real numbers
decimal component, continuous
e.g. how much did the cake weigh?