pre learning check 2 in class notes Flashcards

1
Q

science

A

makes claims that are:

Testable and consistent with well established scientific facts

Confronts data rather than ignoring it

No vague language

Committed to an active, ongoing program of research

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

pseudoscience

A
  • Unscientific thinking masquerading as scientific thinking
  • Uses precise, scientific sounding language
  • No evidence of continued research over time or new knowledge
  • Reliance of anecdotes as evidence
  • Reliance on authority endorsements (or false authorities)
  • Extraordinary claims without supporting evidence
  • Evidence relies on confirmation rather than refutation
    • In true science, we look to disconfirm rather than confirmation
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Intuition-

A

it feels true

A gut feeling

Subjective

We are biased

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

Authority

A

-the scientist says it is true

Could be a good starting point

Different experts have different views

They view things with their own lens of expertise

They may not always be right

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q
  • Rationalism-
A
  • it makes sense logically
    • People will not knowingly ingest poisons (yet, people smoke, so this is not the case)
    • Our own logic is based on our psychology, which differs from person to person
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q
  • Empiricism-
A
  • I observed it to be true
    • Might make a generalization that cannot be taken out of context
    • We all observe things differently and come to different observational conclusions; for example, the duck rabbit picture
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Tenacity-

A

using what we have known to be true in the past; method of knowing based largely on habit or superstition

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

Theory

A
  • Explanation of behavior that can be tested through research
  • Hypothesis: prediction regarding the results of a research study
    • Must be stated in declarative form
    • Be brief
    • Testable
    • Reflect a theory or literature upon which it is based
    • Posit an expected relationship between variables
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Construct

A

When researchers use a theory, they typically work with a conceptual definition of a variable. The term constructs represents these abstract concepts that we aim to measure (e.g. depression, intellectual abilities, substance abuse)

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

Measurement

A

refers to the process of assigning arbitrary symbols (usually numbers), according to a predetermined set of rules, to different events or objects.

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

Operational definition:

A

A definition of a variable in terms of the actual procedures used by the researcher to measure and/or manipulate it

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

Variables can be described in different ways:

A
  1. Continuous vs. discrete (# levels?)
  2. Scales of Measurement (NOIR)
  3. Independent and dependent variables
  4. Manipulated vs. non-manipulated
  5. Extraneous and Confounding
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Extraneous:

A

Unplanned and uncontrolled factor(s) that can arise in a study and affect the outcome. Extraneous variables are typically randomly distributed influences that detract from the researcher’s efforts to measure what was intended to be measured.

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

Confounding:

A

An unwanted factor that affect groups differently and make it difficult to know what caused changes in the dv. With the presence of a confound, it is not possible to determine which variable is at work (the IV or the counfounding variable).

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

quasi-independent variable, subject variable or classification variable.

A

If the researcher is unable to manipulate the variable or it’s based on characteristics of the individual that cannot be manipulated it is a non-manipulated variable. Also referred to as a quasi-independent variable, subject variable or classification variable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Why is anecdotal evidence insufficient?

A

It’s a sloppy way to collect data

Goal of scientific research-identify and collect data from samples of participants that are representative of the whole population

The plural of anecdote is not data

17
Q
  • Probability sampling types
A
  • Probability:
    • Simple random
    • Systematic sampling
    • Stratified random
    • Cluster sampling
18
Q

simple random sampling

A
  • The entire population is known to begin with
  • i.e. all Carolina students
  • You randomly select a thousand students to participate and each student has an equal probability of being selected
19
Q

Systematic sampling

A

I’ve got the entire population but every fourth person will end up in my sample

20
Q

Stratified random

A

All students at carolina, and you know the population values already

Ie. 40% male and 60% female

So you select a sample that is also specifically 40% male and 60% female

21
Q

cluster sampling

A

I’m selecting everyone in a dorm out of a list of dorms. So the sampling is in clusters of individuals rather than just individuals; BUT just for it to be groups doesn’t make it cluster, it has to be ALL individuals in a certain group. i.e. if you have participants from every group than its not cluster, you have to have ALL participants from SOME groups, not SOME participants from ALL groups.

One advantage-they’re already in groups, and its easy in terms of resources because they’re generally all in one location

Sometimes the people within the cluster are more similar ot one another than they are across the clusters so it could be a disadvantage

Because its random, its possible that you leave relevant samples out (i.e. you accidentally omit entire south campus leading to a disproportionately upperclassmen sample)

22
Q

Nonprobability:

A

Convenience/haphazard/volunteer

  • You ask for volunteers or use students in a particular class)

Quota:

  • sample of nonrandom students (trying to get a 40 60 male female split, but you have ot rely on volunteers, so its not random)

Snowball sampling:

  • Referral based method: tell all your friends
23
Q
  • Extraneous variables can result in 3 possibilities
A
  • possibilities:
    • Ev has no efffect
    • Ev affects all of the groups/conditions in the same manner
    • EV AFFECTS THE GORUPS/CONDITIONS DIFFERENTIALLY
      • *only this one is problematic and is thus confounding
24
Q
  • Random assignment vs. random selection
A
    • Random assignment
      * Randomly assigning participants you’ve already recruited to the levels of your IV
      * Impacts internal validity, which is more important than external validity in the case of an experiment
      • Random selection
        • Actually recruiting individuals (and doing so randomly)
        • Randomly: you have equal probability of being selected form the population
25
Q

Ways to manipulate a variable

A

Between subjects

Within subjects

Matched subjects

26
Q

Threats associated with participants

A

Selection/group differences

Maturation

Attrition

History

Diffusion of treatment

27
Q

Observer effects

A

Experimenter bias

28
Q

Threats associated with measurement

A

Order (or sequence) effects

Testing

Regression to the mean

Instrumentation

29
Q

Participant effects

A

Hawthorne effect

Demand characteristics

Placebo effect