Chapter 6: Constructing Hypotheses Flashcards

1
Q

Hypothesis

A
  • important for formulation of a research problem in quantitative studies
  • brings direction and focus to the study
  • statement that can be proven or disproven by reliable data
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2
Q

Characteristics of a Hypothesis

A
  • validity unknown
  • in most cases, specifies relationship between two or more variables
  • temporary answer to the formulation of a research problem.
  • provides basis in research
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3
Q

A Hypothesis should be…

A
  • simple, specific, conceptually clear
  • unidimensional: should test only one relationship at a time
  • familiar with the subject area
  • measurable
  • capable of verification
  • related to existing body of knowledge
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4
Q

Null-hypothesis

A

hypothesis that indicates that there is no difference between the variables

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5
Q

Hypothesis of Difference

A

predict that there will be a difference, but do not predict the magnitude

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6
Q

Hypothesis of Point-Prevalence

A

when there is enough knowledge that there can be a speculation about frequency/prevalence/outcome

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7
Q

Hypothesis of Association

A

states the extent of the relationship or the prevalence of a phenomenon

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8
Q

Errors in testing a Hypothesis: Incorrect conclusions about the validity

A
  • faulty study design
  • faulty sampling
  • inaccurate method of data collection
  • wrong analysis
  • inappropriate statistical procedures
  • incorrect conclusions
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9
Q

2 types of possible errors when drawing a conclusion about the hypothesis

A
  • type I error: rejection of a null-hypothesis when it’s true
  • type II error: acceptance of a null-hypothesis when it’s false
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