Question 1
Question
What is a conceptual definition?
Answer
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A way to define a construct so that it can eventually be tested
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A way to measure a construct
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A way to explain something
Question 2
Question
What is an operational definition?
Answer
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A way to define a psychological construct so that it can eventually be measured
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A way to define a psychological construct
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A way to define the actual method, tool, or technique which indicates how the concept will be measured
Question 3
Question
What is a metric?
Question 4
Question
Which of the following is an example of a nominal scale?
Question 5
Question
Which of the following is an example of an ordinal scale?
Question 6
Question
Which of the following is an example of interval scale?
Answer
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What is your gender?
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How likely are you to buy a new car from 1-10?
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What is the temperature?
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How likely are you to buy a new car (Most likely, likely, not likely, etc)?
Question 7
Question
Which of the following is an example of a ratio scale?
Question 8
Question
Validity is the degree of consistency across time and measures
Question 9
Question
What is reliability?
Answer
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The degree to which responses are consistent over time
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The degree to which we accurately measure the construct of interest
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The degree to which we can measure the construct
Question 10
Question
What is a population?
Answer
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A complete set of individuals that we can generalize back to
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A set of individuals we use to estimate characteristics
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A set of characteristics we want to test
Question 11
Question
Which of the following examples is a sample if we wish to study the underlying factors that cause patients to be admitted into hospital following an acute asthmatic attack in a given area
Answer
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All patients in given area who were admitted into the hospital
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All patients in given area who were admitted into the hospital for an acute asthmatic attack
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100 patients in given area who were admitted into the hospital for an acute asthmatic attack
Question 12
Question
A sampling frame is a subset of the population and is a list of characteristics of people in a population from which a sample is taken
Question 13
Question
What is non-probability sampling?
Answer
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A form of sampling that does not use random selection
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A form of sampling that does use random selection
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A form of sampling that is based on nothing
Question 14
Question
You should use non-probability sampling when...
Answer
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When the variability for a relationship is so small such that valid conclusions about a large group of people can be drawn
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When you want to generalize back to a large population
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When you have limitless resources
Question 15
Question
Which of the following is an example of convenience sampling?
Answer
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When you randomly pick a group of participants
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When you take whomever is most available for research
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When you ask a group of participants to recruit more participants
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When you select a group of participants based on percentages of subgroups in the population
Question 16
Question
Which of the following is an example of quota sampling?
Answer
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There are 66% female and 34% male in a graduate psychology program. I want to study the effects of stress and gender in graduate school, so I select a sample that has 66% female and 34% male.
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I pick everyone who walks through the door
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I select a group of participants and ask them to recruit their other graduate friends
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I randomly divide everyone in the sampling frame and assign them a number and randomly pick numbers
Question 17
Question
Probability sampling is a form of sampling that utilizes random selection and where everyone in the sampling frame has an equal chance of being in the sample
Question 18
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Simple random sampling is when everyone in the sampling frame is assigned a number and numbers are randomly chosen until the desired or required sample size is reached.
Question 19
Question
Which of the following is an example of systematic random sampling?
Answer
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A researcher has a population of 100 individuals and needs 10 subjects. He randomly divides the sampling frame (100) by the required sample size (10) and uses that number (10) to pick people in the sampling frame. So, he picks every 10th individual
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A researcher has a population of 100 individuals and needs 10 subjects. He assigns all individuals a number and randomly selects the numbers.
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A researcher has a population of 100 individuals and needs 10 subjects. The researcher knows that everyone in the sampling frame has a different probability of being selected but still picks them.
Question 20
Question
Non-equivalent random sampling is when everyone in the sampling frame has an equal possibility of being selected.
Question 21
Question
What is clustering?
Answer
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A form of probability sampling where you select the sample in stages so that each unit of sampling shares a characteristic
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A form of probability sampling where you randomly select clusters of participants
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A form of probability sampling where you divide groups of participants and randomly select