exam 1 Flashcards

1
Q

Dr. Sadeh is interested in studying the frequency of depression among pre-pubertal adolescents who also have anxiety disorders. Which of the following are variable(s) in this study?

A

Depression

- something that can be tested

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

Based on what we learned in class, which of the following is a good example of a scientific hypothesis?

A
Smaller class size is related to better academic performance; Decreased sugar consumption is associated with decreased physical activity.
- something that can be tested
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Explain why we do not say that a single study proves a theory or that a single study disproves a theory

A

A single study does not prove a theory because although a study today may find support for a theory, a study done tomorrow may not find support for that theory. In addition, a single study cannot disprove a theory because the single study may have been poorly conducted. Finally, a disconfirming study may mean that the theory may need to be amended or altered, rather than completely dismissed. Scientific research is iterative and probabilistic.

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

Your friend is trying to figure out whether drinking caffeine in the morning is good or bad for her health. She decides to drink two cups of coffee every day - one in the morning and one in the afternoon - to see how she feels after upping her coffee intake.

A

What method of acquiring knowledge is she using in this scenario? Experience
- full of confounds
Your friend decides that her coffee “treatments” are working, and that coffee makes her feel good throughout the day. What biases or errors might your friend be making? A combination of confirmatory hypothesis testing and present/present bias - she needs to compare to how she feels without the two coffees per day.

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

You develop a new measure of romantic love and find that your measure is strongly related to a second, previously-developed measure of love that you administered simultaneously. You have demonstrated:

A

Convergent validity

- the degree to which two measures of constructs that theoretically should be related, are in fact related

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

An experimenter conducted a study where they videotaped people on their first date. Three independent coders later watched these videos and recorded how often they saw each person flirt. Which type of measurement validity or reliability is particularly important in this study?

A

Inter-rater reliability

  • consistency across raters
  • cronbach’s alpha
  • agreement among independent observers who rate, code, or assess the same phenomenon
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

How would you define “operational definition” for this high school student?

A

An operational definition is a specific statement about how a construct will actually be measured or manipulated - it’s taking a conceptual level definition and making it concrete
Conceptual definitions
- “Construct” or “conceptual variable”
- Theoretical, abstract level of description
Operational
- Concrete, specific level of definition

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

What is the critical ingredient of operational definitions that this student must understand?

A

Concrete quantification and/or specification

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

Generate both a good and a weak example of an operational definition of self-esteem and then explain to the high school student why they are good and bad examples.

A

Good: We will ask people to indicate how good they feel about themselves using a scale of 0 to 100. This is a good example because it is really concrete and quantifies self-esteem.
Weak: Extent to which people like themselves. This is a bad example because this is closer to a conceptual definition, rather than an operational definition.

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

Dr. Spielberg just generated a new operationalization of anxiety. However, he quickly realized that his operationalization (and the measure that resulted from it) was going to produce results that were reliable but not valid. Generate an example of an operational definition of anxiety that is reliable but not valid, and explain why it meets those criteria. Dr. Spielberg instead decides to operationalize anxiety by asking people to state how many episodes of acute anxiety attacks they have on average per month. Describe whether anxiety is 1) a self-report, observational, or physiological measure; 2) whether it’s categorical or quantitative, and 3) whether it’s an ordinal, interval, or ratio scale.

A
  • anything that would generate consistent responses that doesn’t relate to anxiety would work. For example, if you asked people to self-report whether they are morning people or night people, this would likely generate reliable responses (e.g., consistent over time), but it would be an invalid measure because the morning person/night person distinction does not accurately capture anxiety.
  • Self-report, quantitative, ratio
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Your research question is “Does taking depression medication improve depressive symptoms?”. What sampling technique(s) will most likely allow you to investigate this question?

A

Purposive Sampling

- targeting specific types of participants for recruitment

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

Dr. Ly is interested in understanding whether exercise improves attention deficit problems. She is concerned that people taking ADHD medication might interfere with her ability to answer this question; she reasons that ADHD medication improves attention deficit problems and thus it might be difficult to also figure out the impact of exercise for these people. As Dr. Ly weighs her options, she should seriously consider which type of validity that will be directly affected by her decision? (Note: there are two correct answers - you need to pick one and justify your choice.)

A

Internal
- Is your IV responsible for the change in the DV, or is there an alternative explanation?
- Compare between conditions; control confounds; randomly assign participants to conditions
- Random assignment: ensuring that each participant in your experiment has an equal chance of being assigned to any given condition in the design
- Random assignment minimizes the influence of individual difference in the sample, particularly when the sample is large enough
External
- To what degree can your results be generalized to other samples or other situations?
- Random sampling

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

What is the difference between random sampling and random assignment?

A

Random sampling is used to generate a representative sample and/or is used to enhance external validity. Random assignment is used in experimental designs to make sure experimental groups are equal and/or is used to enhance internal validity.

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

Jen is a clinical psychologist interested in the link between mental illness and criminal activity. She uses cluster sampling to recruit patients from five inpatient/residential mental health facilities in her state. There are 4,307 patients living in these facilities. She asks patients whether they have ever been arrested for a crime and whether they have ever been convicted of a crime. Across, 1,309 patients, she finds that 27% (+/− 3%) report having been arrested for a crime but that only 13% (+/− 3%) have been convicted of a crime.

  • Name a population of interest that Jen could reasonably generalize her findings to.
  • Jen is interviewed by a journalist about the findings of her study. The journalist criticizes the sample size as being too small and says because of that, the findings do not really have any real world meaning. How should she respond?
A
  • People with mental illness living in a residential facility in her state.
  • Sample size is unrelated to external validity. Further, Jen should also state that this sample size is probably not too small, and the journalist would be wise to focus on effect size, margin of error and sampling technique instead.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Dr. Kubota sends her study to a journal to be published. In it, participants are exposed to an emotion induction which is manipulated between subjects. Some subjects are exposed to emotion-related words, while others are exposed to neutral words. One of the peer reviewers questions the way Dr. Kubota manipulated emotion, arguing that being exposed to emotional words does not make one emotional. The reviewer is questioning which of the following?

A

Construct validity

  • How well have the conceptual variables been operationalized?
  • are you measuring what you say you are measuring and are you manipulating what you say you are manipulating
  • Subjective assessment: does this scale look like what happiness measure should look like?
  • Objective assessment: do scores on this scale correlate with other measures of happiness?
  • Criterion validity: the extent to which an operationalization of a construct, such as a test, relates to, or predicts, a theoretical representation of the construct—the criterion
  • Discriminant (e.g., divergent) validity: tests whether concepts or measurements that are not supposed to be related are actually unrelated
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

________ enhances internal validity, while random sampling _______________.

A

Random assignment to condition, increases external validity

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q
  • Create a measured operational definition for academic performance.
  • Create a manipulated operational definition for stress.
  • Based on a study where you manipulate stress and test its effect on academic performance in UD first-years, what kind of claim could you make (frequency, associative, & causal), and which validity would you have prioritized - internal or external?
A
  • score on a GRE test administered in the lab; produced by participants; IV or DV
  • participants were randomly assigned to give a speech public or a control condition; controlled by researchers; IV
  • Causal; internal validity
18
Q

Dr. Forbes wanted to understand whether depressive and anxiety symptoms were related, so he conducted a study in which he measured both depression and anxiety. He found that people with higher depressive symptoms were likely to also have relatively high anxiety. He wants to conclude that depression causes anxiety but is concerned about a potential third variable. Generate a possible third variable in this scenario and describe why it qualifies as a third variable.

A

a potential third variable is gender. Specifically, perhaps depression doesn’t cause anxiety, gender may relate to BOTH depression and anxiety. (For example, maybe depression and anxiety are both more common in women than in men, even though the two measures are ultimately unrelated within these groups.) It qualifies as a third variable because it is another variable that could hypothetically cause both the predictor and the outcome.

19
Q

Which of the following cases best illustrates the present-present bias?

A

Your friend gives more weight to the few times they listened to their favorite song before a test and got an A over all the other times they listened to the song and did poorly.
- We fail to think about what we cannot see

20
Q

Which of the following research questions best illustrates an example of basic research?•

A

Can 2-month-old human infants discern the difference between four objects and six objects?
- General, low level variables

21
Q

Which of the following is the best definition of a confound?

A

A factor that correlates systematically with both the proposed “cause” and the measured “outcome”
- looking at how lack of exercise can lead to weight gain a possible confound could be age or gender or how much a person eats

22
Q

Which of the following is a variable that has been fully operationalized and is manipulated, rather than measured?

A

Anxiety reduction — defined based on whether the subject took diazepam or a placebo pill

  • Controlled by the researchers
  • concepts are linked to variables
23
Q

Which of the following is an association claim?

A

Romantic partners who express gratitude are more likely to stay together.

  • Argues that one level of a variable is likely to be associated with a particular level of another variable
  • Association claims involve at least two measured variables
24
Q

Which of the following most clearly presents an issue related to external validity?

A

A researcher interested general U.S. attitudes on Syrian immigration using a primarily rural, White sample

  • To what degree can your results be generalized to other samples or other situations?
  • Random sampling is needed for external validity
25
Q

Causal claim

A
  • Change in one variable is directly responsible for change in another
  • Involve at least two variables
  • For a causal claim to be valid, one variable should be manipulated and one should be measured
  • eg) Using social media increases depression severity in college students, “increases” is drawing a direct, active link between the IV and DV
  • must have covariance, temporal precedence (time), no alternative explanations
26
Q

Association claim

A
  • Argues that one level of a variable is likely to be associated with a particular level of another variable
  • Association claims involve at least two measured variables
  • Correlation
  • eg) The design is clearly correlation (the IV and DV are both measured variables) and therefore only an association claim is warranted
  • predicts
27
Q

Statistical validity

A
  • How accurate are the statistical inferences drawn from the results?
  • False positive (type I error): when you detect an effect in your sample that does not exist in the population
  • False negative (type II error): when you miss an effect in your sample that does exist in the population
  • eg) Given that the result in question is describing a difference in scores on the IRI between the two groups, you could ask a) whether this difference was statistically significant (e.g., whether the p-value was below .05, and thus, the result could be statistically distinguished from chance), b) the effect size of this difference, c) something regarding the statistical power that the researchers had, based on their sample size, or d) something about the amount of error surrounding the average values observed within either group.
28
Q

Frequency claim

A
  • Describes the particular proportion, rate, or degree of some variable of interest
  • Involve only one measured variable
  • Broad but descriptive
  • A starting point for future research
  • eg) there is no comparison in drinking among teens over time - it just gives the rates for the behaviors in question at one “snapshot” in time. The design only measures teenage drinking behavior at one point in time.
29
Q

Quantitative variables

A
Ordinal scale
- Variable representing a ranked order
- The distance between intervals isn't meaningful
Interval scale
- Equal intervals between numerals
- No meaningful "true zero"
Ratio scale
-Equal intervals between numerals and a meaningful "true zero"
- Zero means something
30
Q

Knowledge

A
Authority
- Bias, objective
- publication process, journalism
Experience
- full of confounds
Intuition
- subject to cognitive and motivational biases
Research
- General, low level variables
- Implicit prejudice
31
Q

Categorical variables

A
  • Divided into groups or categories in a non-numeric fashion

- Racial identity, educational level, gender identity, age cohort, binary judgement

32
Q

test-retest reliability

A

a method for determining the reliability of a test by comparing a test taker’s scores on the same test taken on separate occasions; consistency across time
- coefficient correlation r

33
Q

Internal (e.g., item) reliability

A
  • Consistency across items on a scale
  • cronbach’s alpha
    .7 is sufficient .9 is high
  • measure based on the correlations between different items on the same test
34
Q

Biased vs. representative samples

A

Biased (unrepresentative) sample: not all members of a population have an equal probability of being included in the sample
- Convenience sampling: sampling only those who are the easiest to contact or recruit
- Self-selection: sampling only those who invite themselves
Unbiased (representative) sample: all members of a population have an equal probability of being included in the sample

35
Q

Probability sampling

A

Simple random sampling
- Relevant for experimental and non-experimental designs
- Increases external validity
- Any study
Random assignment
- Used only in experimental designs to assign participants to groups at random
- Increase internal validity
Cluster sampling: reducing population to a more manage size
Multistage sampling: reducing population to a more manage size
Stratified random sampling: making sure demographic minorities are properly represented
Over sampling: making sure demographic minorities are properly represented

36
Q

“Theory-testing mode”

A
  • Rejecting, refining, supporting, and expanding a theory
  • Frequency claims: not typically in “theory-testing mode”
  • Association and causal claims: often in theory-testing mode, especially when it comes to causal claims
37
Q

“Generalization mode”

A
  • Generalizing findings from one sample to broader population of interest
  • Frequency claims: always in generalization mode
  • Association and causal claims: sometimes in generalization mode
  • WEIRD participants; Western, educated, industrialized, rich and democratic
38
Q

Common biased sampling techniques

A
  • Convenience sampling
  • Purposive sampling: targeting specific types of participants for recruitment
  • Snowball sampling: asking that participants recommend other individuals who may qualify
  • Quota sampling: identifying subsets of the population you’d like to recruit and then non-randomly sampling them until your quotas are met
39
Q

Population vs. sample

A

The population is the whole group while a sample are parts of the population.

40
Q

ecological validity

A

An aspect of external validity in which the focus is on whether a laboratory study generalizes to real-world settings

41
Q

Face validity vs. content validity

A

Face validity: does your measure look like what you want to measure?
Content validity: does your measure contain all the parts that your theory says it should contain?