CHAPTER 6: Formulating the Hypothesis Flashcards

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1
Q

refers to the thesis, or main idea, of an experiment or study consisting of a statement that predicts the relationship between at least two variables.

A

Hypothesis

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2
Q

a statement of predictions of how events, traits, or behaviors might be related, but not a statement about cause and effect (relationship).

A

Non-Experimental Hypothesis

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3
Q

it is a statement that explains/predicts the “effect” of specific antecedent conditions on a measured behavior.

A

Experimental Hypothesis

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4
Q

a statement that is always true.

A

Analytic Statement

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5
Q

a statement that can be either true or false, a condition necessary to form an experimental hypothesis.

A

Synthetic Statement

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6
Q

a statement that is always false - opposed each other. Need not to conduct experiments to test.

A

Contradictory Statement

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7
Q

a statement that can be tested because the means exist for manipulating antecedent conditions and for measuring the resulting behavior.

A

Testable Statement

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8
Q

a statement that is worded so that it is falsifiable, or disprovable, by experimental result/sresearch findings.

A

Falsified Statement

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9
Q

a statement that is simply and des not require many supporting assumptions.

A

Parsimonious Statement

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10
Q

a statement that leads to new studies.

A

Fruitful Statement

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11
Q

the process of reasoning from specific cases to more general principles to form a hypothesis.

A

Inductive Model

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12
Q

more likely to be false

A

A posterior

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13
Q

process of generalization.

  • we devise general principles and theories used to organize, explain and predict behavior until more satisfactory principles are found.
A

Induction/ Inductive reasoning

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14
Q

the process of reasoning from general principles to specific instances, most useful for testing the principles of theory.

  • rigorously test the implications of these theories.
A

Deductive Model

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15
Q

is the knack of finding things that are not being sought.

A

Serendipity

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16
Q

a periodical that publishes individual research reports.

A

Psychological Journals

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17
Q

a statistical reviewing procedure that uses data from many similar studies to summarize and quantify research findings about individual topics.

A

Meta-Analysis

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18
Q

it is not affected by anything else that happens in the experiment.

A

Independent Variable (IV)

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19
Q

a particular behavior we expect to change because of experimental intervention.

A

Dependent Variable (DV)

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20
Q

manipulating thru by giving subjects varying instruction leading them to believe that either they would be exposed and not to painful shock.

A

Anxiety

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21
Q

describes the operations involved in manipulating or measuring the variables in an experiment.

  • it specifies the precise meaning of a variable within an experiment.
A

Operational Definition

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22
Q

it defines exactly what was done to create the various treatment conditions of the experiment.

A

Experimental Operational Definition

23
Q

explain unseen processes postulated to explain observable behavior.

A

Hypothetical Constructs

24
Q

it is equally important when we are working with variables that can be observed more directly.

A

Non construct Variables

25
Q

it is important that we know hoe to defined scale of measurement in setting up experiments and formulating operational definitions.

A

Scales of Measurements

26
Q

different observers take measurement of the same responses.

A

Interrater Reliability

27
Q

comparing scores of people who have been measured twice with the same instrument.

A

Test - Retest Reliability

28
Q

is the extent to which different parts of the questionnaire or other instruments designed to assess the same variable attain consistent result.

A

Inter - Item Reliability

29
Q

often use multiple choice to check if they reliably measures the same variable.

A

Internal Consistency

30
Q

often split the test into halves at random and compute the coefficient reliability and correlate items measuring on the same variable on two halves.

A

Split Half Reliability

31
Q

the most widely used method for evaluating inter item reliability, considers the correlation of each test item with every other item.

A

Chronbach’s Alpha

32
Q

it is the tests whose items are scored as right/wrong, or according to some other all-or-none system.

A

Coefficient Alpha/ Kuder Richardson

33
Q

least likely to be a problem with variables that can be manipulated and measured fairly directly, it is the least stringent type of validity does not provide any real evidence.

A

Face Validity

34
Q

depends on whether we are taking a fair simple of the quality we intend to measures.

A

Content Validity

35
Q

is the predictive extend to which a scale predicts scores on some criterion measures.

A

Predictive Validity

36
Q

compares scores on the measuring instrument with an outside criterion.

A

Concurrent Validity

37
Q

deals with the transition from theory to research application.

A

Construct Validity

38
Q

the test effectiveness in predicting behavior against a standard.

A

Criterion Related Validity

39
Q

it is the certainty that the changes in behavior observed across treatment conditions in the experiment were actually caused by the independent variable.

A

Internal Validity

40
Q

it is an outside event or occurrence that can produce effects on the dependent variable.

A

History Threat

41
Q

produced by internal (psychological/physical) changes in subject as a function of the passage of time.

A

Maturation Threat

42
Q

produced by a previous administration of the same test or other measures.

A

Testing Threat

43
Q

produced by changes in the measuring instruments itself

A

Instrumentation Threat

44
Q

occur when the subjects are assigned to conditions on the basis of extreme scores on the test.

A

Statistical Regression Threat

45
Q

occur when the researcher does not assign subjects randomly to the different conditions of an experiments.

A

Selection Threat

46
Q

produced by differences in dropout rates across the conditions of the experiments.

A

Subject Mortality Threat

47
Q

family of threats, produced when a selection threat combines with one or more of the other threats to interval validity.

A

Selecting Interaction Threat

48
Q

pretest might increase or decrease the respondent’s sensitivity or responsiveness to the experimental variable.

A

Interaction Effect of Testing

49
Q

interaction effect to the experimental variable; subjects selected are not susceptible to the effect of the experimental variable, the result will not be realizable to the larger group.

A

Selection Biases of Sampling

50
Q

exact duplication of an investigation, but with a different sample selected from a popultaion.

A

Literal

51
Q

duplication of investigation, using the same problem and methodology with some alteration in the procedures, measurement and analysis.

A

General Application

52
Q

duplication of the investigation using the same problem but utilizing an entirely different methodology.

A

Triangulation

53
Q

likely to occur whenever multiple treatments are applied to the same respondents, the effects to prior treatments are not erasable.

A

Multiple-Treatment Interference