Qm Flashcards

1
Q

what is the essence of science?

A

explaining natural phenomna through general rules and theories

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2
Q

what are the four methods of knowing?

A
  • method of tenacity: clinging to a belief, because it has always been true
  • method of authority: established belief, like religion
  • a priori method: a priori propositions, “agree with reason”
  • method of science: self correction, objectivity. its fundamental hypothesis: there are real things, whose characters are entirely independent or our opinions about them.
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3
Q

what are the two kinds of self selection

A

comparison groups: S’s are selected because they are in one or another group cancer/ no cancer
samples: selection in non random fashion

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4
Q

limitations of ex post facto research?

A

1) inability to manipulate independent variables
2) lack of power to randomize
3) risk of improper interpretation

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5
Q

advice ex post facto research

A
  • ignore results of ex post facto research without hypotheses
  • be skeptical about ex post facto research that only has one hypothesis
  • be careful with results and interpretations of ex post facto research
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6
Q

laboratory experiment

A

research in a physical situation apart from the outside world, in which the variance of extraneous independent variables is kept at a minimum. One or more independent variables are carefully manipulated under controlled conditions.
Purpose:
- Discover relations under ‘pure’ circumstances
- Test predictions derived from theory and exploratory research
- Refine theories, formulate hypotheses
Strengths:
- High internal validity  ceteris paribus (“all other things being e qual”)
- Easy to manipulate independent variables
- Complete control; minimal error variance
- Elimination of extraneous influences
Weaknesses:
- Lack of strength of independent variables due to artificiality of the research situation
- Lack of external validity/representativeness

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7
Q

Field experiment

A

: research in a realistic situation in which the independent variables are manipulated by the experimenter under as carefully controlled conditions as the situation will permit.
Strengths:
- Stronger variables due to the more realistic situation
- Flexible; widely applicable
- Lifelike setting  high external validity
Weaknesses:
- Manipulation of independent variables
- Randomization
- Lack of precision
- Social obstacles

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8
Q

Field study

A

ex post facto scientific inquiry aimed at discovering relations and interactions among variables. Tests hypotheses in life situations. Very limited to no manipulation of independent variables.
Two types: exploratory and hypothesis-testing
Purpose of exploratory field studies: 1) discover significant variables in the field; 2) discover relations among variables; 3) lay groundwork for later testing of hypotheses.
Strengths:
- Strong in realism
- Social significance
- Strength of variables
- Theory orientation
- Heuristic quality
Weaknesses:
- Ex post facto character, thus relations are weaker
- No internal validity
- Lack of precision in measurement of variables (construct validity)
- High costs; sampling; time.

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9
Q

experimenters dilemma

A

Human subjects (s) respond differently in different kind of experimental settings to different types of experimenters (E) with different kinds of approaches

  • Because human subjects are aware that they are being experimented on, they may modify their “normal” behaviour
  • human subjects must be obtained by some selection method, which may affect the representativeness of the sample, especially when some types of Ss are included and others are excluded.
  • expediencies, hypotheses and/or biases may be communicated to the Ss in some fashion. even if this is unintentionally, this source of bias reduces the validity of experimental findings.
  • often, the alternatives for a less biased experimental setting are equally undesirable
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10
Q

experiments as seen by Es

A

a method for obtaining answers to questions which he is studying. Experimental situation in one in which E does not trust S and has to keep him as naïve and ignorant as possible about the purposes of the experiment

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11
Q

experiments as seen by Ss

A

generally cooperative. S is aiding science. can be pressured into volunteering. attempts to decipher the secret purpose of the experiment, such an attitude is natural but can cause difficulties for E.

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12
Q

the major views held by psychologists on the nature of attitudes of Ss in experiments

A
  • Riecken (1962): S wants to put his “best foot forward” and tries to figure out the purpose of the experiment in order to 19ai)d science.
  • Orne (1962): S is cooperative and eager to be a “good” S so as to please E. He attempts to determine the purpose of the experiment and acts in accord with various cues or demand characteristics of the situation which tip him of as to what is correct behavior.
  • Rosenberg (1965): S is anxious about the impression he makes he makes since ha assumes he is being evaluated. This apprehension leads him to behave in whatever manner he believes will put him in the best light.
    Fillenbaum (1966): S is “faithful” and follows instructions, without attempting to secondguess or outsmart E.
    Masling (1966): sometimes S will resist the attempts of E to study him: he may even be uncooperative or deliberately behave in unusual ways.
    Argyris (1968) S may resist, become hostile or apathetic, or even fail to show up because experiments contain unintended side effects due to their rigorous control of the situation.
    Sigall, Aronson and Van Hoose (1970) S is primarily concerned about his own image, not the goals of E. If the goals of S and E are not compatible, S will behave in his own self-interest.
    Dulaney (1962) S will do what he thinks E want him to do, provided S wants to do it.
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13
Q

Hawthorne effect

A

In an experiment where Es were identifying optimal working conditions, it appeared that all workers showed production improvement, no matter what environmental changes were created. the workers were responding to the observation process itself and behaving in ways atypical of work under natural conditions.

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14
Q

According to Bell, volunteers in general

A
  • are higher in need for social approval
  • especially males are more intelligent
  • tend to have more unconventional personalities
  • often tend to be first-borns
  • for certain experiments are less well adjusted
  • tend to have higher need for achievement
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15
Q

active effect of sex

A

the possibility that Ss respond differently to Es of different sexes because they are actually treated differently by male and female Es.

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16
Q

Passive effect of sex

A

refers to the situation where Ss may themselves respond differently to male versus female Es just because of their sex

17
Q

Solution to E bias

A

use more tan one E, preferably selected at random

18
Q

Construct validity:

A

the degree to which a test measures what it claims to be measuring. Does a test really measure the intended construct? Is the variable that you are testing addressed by the experiment? It tries to explain what factors/constructs account for variance in test performance.
Example: a test designed to measure depression must only measure that particular construct, not closely related ideals such as anxiety or stress.
1) Convergent validity: constructs that are expected to be (cor)related are, in fact, (cor)related.
2) Convergence validity: other constructs that are expected to be unrelated are, in fact, unrelated.

19
Q

Content validity:

A

representativeness or sampling adequacy of the content of a measuring instrument. It is an estimate of how much a measure represents every single element of a construct.

20
Q

criterion-related validity

A

the extent to which a measure is related to an outcome. It says something about the predictive value of a test

21
Q

Awareness of being experimented-on:

A
  • Results in cooperative behavior of S, he is aiding science  producing pseudo-confirmation of the hypothesis.
  • Because of the altered behavior, E has limited generalizability of the findings.
  • Demand characteristics: subtle cues that make S aware of what E expects to find or how S is expected to behave.
22
Q

Empirical sciences:

A

finding evidence for theories by reference to observed facts.
Pupose: explain phenomena in reality. In order to do this, one formulates hypotheses which he then tests.

23
Q

Empyrical cycle

A

observation, induction, deduction, test, evaluation

24
Q

Inferential statistics

A

generalization  jump from data to conclusion in more general terms.

25
Q

Descriptive statistics:

A

data reduction  reducing a large quantity of data into a few manageable quantities which characterize the original data (mean, median, standard deviation etc.).

26
Q

Population:

A

universe of all possible observation.

27
Q

Sample:

A

a faithful representation of the population

28
Q

Random sample:

A

randomly selecting, so that all the elements in the population have the some probably of being included.

29
Q

Falsification principle:

A

a hypothesis can never be proved, whereas its untruth/falsity can.

30
Q

Probabibility:

A

degree of (un)certainty of an outcome. 0 < P < 1

31
Q

Null-hypothesis:

A

specifies the point of reference for the calculation of probabilities. The null hypothesis states there is no effect, and is assumed to be true and correct.

32
Q

Alternative hypothesis:

A

an assumption that deviates from the expected point of reference formulated in the null hypothesis.

33
Q

Internal validity:

A

the extent to which there is a causal relation between the independent variable and the dependent variable under study. Is there evidence that what you did (manipulation of IV) caused what you observed (variance/outcome in DV)? High internal validity  no alternative explanations.

34
Q

External validity:

A

the extent to which the results of a study can be generalized to other situations and other people, i.e. the population. Two types:

1) Ecological validity: the methods, materials and setting of the study must approximate the real world that is being examined.
2) Population validity: the extent to which a sample under study can be used to extrapolate to a population as a whole.