Week 1 - What is data, and why is it important? Flashcards
What can’t we do with statistics?
a. Describe
b. Predict
c. Decide
d. Neutrality
d. Neutrality
Height data has been collected from preschool students, how the data differ is refers to as…
a. Unknown error
b. Inferential information
c. Variance
d. Empirical factors
c. Variance
Before we develop a hypothesis, we must…
a. Determine our conclusions.
b. Set our p value.
c. Read previous literature.
d. Ensure we have a large effect.
c. Read previous literature
Samples in psychological research are typically…
a. Biased
b. Population-based
c. Unbiased
d. Population-representative
a. Biased
We may be able to infer causality if…
a. We employ a longitudinal design.
b. We use an observational design.
c. We set a conservative alpha value.
d. We employ an experimental design.
d. We employ an experimental design
Qualitative designs use…
a. Descriptive representations of information
b. Numbers
c. Only cross-sectional designs (not longitudinal)
d. Numerical representations of information
a. Descriptive representations of information
Integer data are characterised by…
a. Whole numbers
b. Numbers with decimals
c. Continuous data
d. Binary data
a. Whole numbers
A variable is also known as a…
a. Constant
b. Factor
c. Binary piece of information
d. Choice
b. Factor
There are four possible features of variables. They are…
a. Identity, magnitude, equal intervals, absolute zero.
b. Masking, magnitude, equal intervals, changeable zero.
c. Identity, magnitude, equal intervals, changeable zero.
d. Masking, magnitude, equal intervals, absolute zero.
a. Identity, magnitude, equal intervals, absolute zero.
Nominal, ordinal, interval and ratio scales all share what feature?
a. Equal intervals
b. Masking
c. Magnitude
d. Identity
d. Identity
Which of the following questions would produce Binary Data?
a. How many days until your birthday?
b. How much flour do I add to the cake?
c. Are you hungry?
d. How many eggs do I add to the cake?
c. Are you hungry?
Which scale: each value can be ordered in terms of their magnitude, differences between values are not necessarily equal in magnitude
a. Nominal
b. Ordinal
c. Interval
d. Ratio
b. Ordinal
Nominal, ordinal, interval and ratio scales all share what feature?
a. Magnitude
b. Identity
c. Size
d. Validity
b. Identity
What is reliability?
a. The consistency of our measurements
b. Each value of the variable represents something different
c. The degree to which we are measuring the construct that we think we are measuring
d. Each value of the variables have a unique meaning
a. The consistency of our measurements