9] Intro To Experimental Design Flashcards

1
Q

Types of validity

A

1: face
2: content
3: construct
4: criterion related

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2
Q

What is external validity

A

The extent to which you can generalise the findings of a study to other situations, people, settings and measures

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3
Q

What is internal validty

A

The extent to which the observed results represent the truth in the population we are study and thus are not due to methodological errors

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4
Q

What is the three conditions for causation

A

1: there is a relationship between the two variables
E.g: do people who study more (variable A) do better on exams (variable B)
2: A must precede B
E.g: study comes before the grade of the exam
3: there is no confounding variables explaining the relationship
E.g: perhaps motivation influences how well they do in the exam and how much they study

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5
Q

What are true experiments

A

It is an experiment conducted to prove or disprove a cause and effect relationship between two variables
It must include a control group and at least one experimental group that are randomly assigned and a researcher manipulated variable

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6
Q

What are the four basic elements of true experiments

A

1: manipulation
2: measurement
3: control
4: comparison

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7
Q

True Experiments: What does manipulation mean

A

It is the manipulation you place on the independent variable, this is so you can identify the cause and effect relationship.
They will change a certain factor and then measure the outcome as a result of that change
E.g: Changing the wording of two different options for two separate group but still keeping their meanings the same, having one negatively and one positively worded to see what they pick

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8
Q

True Experiments: What does measurement mean

A

In this scenario it is discussing the outcome (dependent variable), and how we measure it.
We measure how that outcome has varied in data due to a set change and we do this because it helps clarify the relationship between the dependent variable and independent variable.
E.g: Out of the two groups the outcome is how many of them choose the option A or the option B depending on the wording (independent variable)

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9
Q

True Experiments: What does control mean

A

This is the control you have over all the other variables (extraneous variables) in a true experiment, having all conditions and factors in the test under your control and only changing a few variables
E.g: Both groups had a choice between only A and B, both of which were in the same order for each group

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10
Q

True Experiments: What does comparison mean

A

Once you have manipulated your independent variable, measured your dependent variable accordingly and controlled all other extraneous variables you now must compare the results of the diffrent experimental conditions.
We do this so we can establish the relationship between the manipulated independent variable, and the dependent variables change in accordance to its manipulation.
E.g: Comparing the results of the two groups choice of either option A or B

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11
Q

What is an independent variable

A

It is the variable you manipulate or vary in an experimental study to explore its effects

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12
Q

What is a dependent variable

A

It is the variable that is being measured or tested in an experimental study due to a manipulation of the independent variable

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13
Q

What is an extraneous variable

A

It is any variable not being investigated that has the potential to affect the outcome of a research study by impacting the conditions without being manipulated

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14
Q

What is a confounding variable

A

It is an unmeasurable third variable that influences both the cause (independent variable) and supposed effect (dependent variable), without removing them you research is susceptible to biases and can lead you to misinterpret your findings

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15
Q

How does an extraneous variable become a confounding variable

A

1: they impact the dependent variable
2: they must vary systematically with the independent variable

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16
Q

What are the three categories of extraneous variables

A

1: environmental variables
E.g: diffrent rooms, temperature
2: individual variables
E.g: gender, age
3: time related