Advanced issues in experimental research methods Flashcards

(47 cards)

1
Q

What is a hypothesis?

A

A specific, testable claim or prediction about what you expect to observe given a set of circumstances.

It is a tentative statement about the assumed relationship between two (or more) variables.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is the difference between a research hypothesis and a null hypothesis?

A

Research Hypothesis (H1): The statement you’re testing, what you expect to find. Null Hypothesis (H0): States that an effect is absent.

Research hypotheses can be directional (one-tailed) or nondirectional (two-tailed).

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What do experiments allow researchers to test?

A

Causation.

Surveys allow testing for correlation.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What does correlation mean?

A

Two variables vary together – as one variable changes, the other variable tends to change as well.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is spurious correlation?

A

A correlation that does not imply causation.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What are the key features of an experiment?

A
  • Manipulates an independent variable (IV)
  • Holds other variables constant
  • Measures changes in dependent variable (DV)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is an extraneous variable?

A

Anything other than the independent variable that could affect the dependent variable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What is a confounding variable?

A

A type of extraneous variable that affects the dependent variable and varies with the independent variable in a systematic manner.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What is the difference between between-subjects and within-subjects designs?

A

Between-subjects: Each participant is tested in only one condition. Within-subjects: Each participant is tested in all conditions.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What is effect size?

A

A statistical measure of the magnitude of an observed effect in a population.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is statistical power?

A

The probability of detecting a true effect when it actually exists in your population.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What is internal validity?

A

The extent to which we can be sure that the changes observed are caused by our manipulation, rather than other factors.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What are maturation effects?

A

Participants’ behavior changes naturally over time, unrelated to the treatment/intervention.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What is a control group?

A

A group where the independent variable is thought to have no influence, serving as a baseline.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What are the types of control groups?

A
  • Passive: Participants do nothing or a meaningless task
  • Active: Participants do something assumed to have no effect
  • Wait list: Participants are waiting to take part in the intervention
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What is differential attrition?

A

When people leave one condition or treatment more than any other, leading to biased data.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

What are order effects?

A

Changes in behavior due to the order in which conditions are completed.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

What is counterbalancing?

A

Testing different participants in different orders to minimize order effects.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

What is a matched pairs design?

A

A design where participants are matched on a variable that correlates with both IV and DV.

20
Q

What is participant reactivity?

A

Participants behave differently because they are aware of being tested or try to guess the experimenter’s expectations.

21
Q

What is the 5% criterion in hypothesis testing?

A

It represents the probability of making a Type I error (α).

22
Q

Fill in the blank: A hypothesis is a specific, testable claim or prediction about what you expect to observe given a set of _______.

A

[circumstances]

23
Q

True or False: Correlation implies causation.

24
Q

What are order effects?

A

Order effects refer to the possibility that participants behave differently based on the order in which conditions are presented.

25
What is participant reactivity?
Participant reactivity occurs when participants change their behavior because they are aware of being tested.
26
What is evaluation apprehension?
Evaluation apprehension is a form of participant reactivity where participants are concerned about how they are perceived during the study.
27
Define demand characteristics
Demand characteristics are cues that influence participants' behavior by suggesting what the experimenter expects to find.
28
What are experimenter effects?
Experimenter effects occur when the experimenter's expectations influence participants' behavior.
29
What is the Pygmalion effect?
The Pygmalion effect, identified by Rosenthal & Jacobson (1992), describes how higher expectations from the experimenter can lead to improved performance by participants.
30
What is single blinding?
Single blinding is when participants do not know which experimental group they are in.
31
What is double blinding?
Double blinding is when neither the participants nor the researchers know which group the participants are in.
32
What is deception in research?
Deception involves presenting participants with a plausible cover story that misleads them about the true purpose of the experiment.
33
What is construct validity?
Construct validity refers to whether a measurement method actually measures the construct it is intended to measure.
34
What are ceiling effects?
Ceiling effects occur when a task is too easy or the stimulus is too extreme, leading to a lack of variability in responses.
35
What are floor effects?
Floor effects occur when a task is too difficult or the stimulus is too weak, preventing the detection of a real effect.
36
Why is internal validity important?
Internal validity is crucial because compromising it can lead to false claims and incorrect conclusions in research.
37
Give an example of a study with compromised internal validity.
The study by Wakefield et al. (1998) linking autism and the MMR vaccine was widely discredited due to issues with internal validity.
38
What are methods to increase internal validity?
Methods include: * Using appropriate stimulus and measures * Choosing appropriate design: within vs. between * Randomisation * Control group * Experimental control * Counterbalancing * Blinding * Standardisation of procedures.
39
What is external validity?
External validity refers to the extent to which the results of an experiment are generalizable to real-world settings.
40
What is generalisability?
Generalisability is how much research findings can be applied to other groups of people in different circumstances.
41
What is the role of the independent variable (IV)?
The independent variable (IV) is the variable that is manipulated to observe its effect on the dependent variable.
42
What is the dependent variable (DV)?
The dependent variable (DV) is the variable that is measured in an experiment.
43
What should be held constant in an experiment?
All extraneous variables must be held constant while a single variable is manipulated.
44
What is the purpose of randomisation in research?
Randomisation helps eliminate biases by ensuring that participants are assigned to conditions in a random manner.
45
What is counterbalancing?
Counterbalancing is a technique used to control for order effects by varying the order of conditions for different participants.
46
What should researchers consider when planning a study?
Researchers should consider: * What they will measure (variables) * How they will measure them * Validity of measures.
47
What is a manipulation check?
A manipulation check is a measure used to determine whether the manipulation of an independent variable had the intended effect.