Chapter 2 definitions Flashcards

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1
Q

Theory

A
  • a general statement about the relationship between constructs/events.
  • must be parsimonious
  • must generate a testable hypothesis
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2
Q

Hypothesis

A

-formal prediction about the relationship between two or more variables which is logically derived from the theory

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3
Q

Independent Variable (aka treatment variable)

A

-determines how the groups in the experiment are divided

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4
Q

Dependent Variable

A

-(aka outcome variable or variable to be measured) is measured by the investigator and is used to compare the experimental groups.

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5
Q

Interaction

A

-how one independent variable affects the dependent variable depends on the other independent variable.

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6
Q

Manipulated Independent Variable

A
  • investigator begins with a large number of participants and assigns them to experimental groups
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7
Q

Nonmanipulated Independent Variable (aka subjects variable)

A

Exists without the researcher’s intervention (ie. Participants are separated according to Character or physical traits, birth order etc.)

  • participants are not randomly assigned
  • problem with nonmanipulated variable is that it cannot be assumed that the participants are identical on average in the beginning because they are not randomly assigned
  • cause/effect relationship difficult to determine in nonmanipulated variables
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8
Q

3 elements of an experiment

A

1) generate a theory
2) make a hypothesis
3) collect data to support hypothesis

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9
Q

Replication

A

-examine participant populations different from those in the original research so that it can be determined if these results can be generalized to a larger population

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10
Q

File Drawer Problem

A

-often only “significant results” are published so we do not know where we went wrong on non-significant experiments

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11
Q

Case Study Method

A
  • in-depth evaluation of a single individual (or sometimes a few individuals)
  • often involves a psychotherapy client suffering from a problem that the researcher is interested in
  • ○ Client’s history, current behavior and changes in behavior over the investigation are recorded
  • often involves descriptive data
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12
Q

limitations of case study (3)

A
  • cannot generalize results from a single person to a large population
  • issues determining cause/effect relationships
  • investigators subjective judgements can influence results
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13
Q

Pros of case study method (2)

A
  • appropriate when investigating a rare case (ie. multiple personalities)
  • Appropriate when it can be argued that the individual being studied is no different from people on the dimension of interest (ie. Studying participants with a severed corpus collapsum; it can be argued that these participants have a “normal” brain and that these results can be compared)
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14
Q

statistical significance

A
  • if the difference was large enough that in all likelihood it was not caused by chance
  • traditionally a 0.5 significance level is used (ie. difference between scores is so large that it would occur less than 5% of the time by chance)
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15
Q

Correlation coefficient

A
  • statistical test used to understand the relationship between two measures
  • Need to examine reliability and validity before using any standardized test.
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16
Q

test-retest reliability coefficient

A

-researchers administer the test to a large number of people; this test is then re-administered to the same people some time later. The scores from the first administration are correlated with those from the second. A high positive correlation coefficient (ie. 0.90) indicates good consistency over time.

17
Q

internal consistency

A

-Test is internally consistent when all the items on the test measure the same thing; high internal consistency coefficient can indicate that most items are measuring the same concept.

18
Q

Face Validity

A

-do the test items appear to measure what they are supposed to measure.

19
Q

Congruent validity (convergent validity)

A

-extent to which scores from the test correlate with other measures of the same construct; if two tests measure the same thing then the scores should highly correlate

20
Q

Discriminant validity

A

-refers to the extent to which a test score does not correlate with the scores of theoretically unrelated measures.

21
Q

Behavioral validation

A

-it is important that test scores predict relevant behavior as participants may behaviorally respond as they think they would act/how they wish they would act.