Quantitative Methodology Flashcards

1
Q

3 yardsticks of a good quantitative research

A
  1. validity,
  2. reliability and
  3. generalizability
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2
Q

________ exists when the experimental treatment has a noticeable impact on the dependent variable in the specific experimental instance under consideration, when it can be shown that the independent variable, as manipulated, produced a change in the dependent variable, as measured

A

Internal validity

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3
Q

Threats to internal validity

A

rival explanations to the effect of the treatment and are concerned with whether the findings are believable or whether there is another way to explain them

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4
Q

The seven main threats to internal validity

A
  1. maturation,
  2. regression,
  3. selection,
  4. mortality,
  5. instrumentation,
  6. testing, and
  7. history
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5
Q

________exists to the extent that the research findings can be generalized across people, settings, treatment variables, and measurement variables

A

External validity

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6
Q

threats to external validity

A

limiting conditions (whether findings are unique to the conditions of the study or widely applicable_

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7
Q

The____________ (i.e., higher than gold) of experimental research is to have high degrees of both internal and external validity so that research results are both truthful and widely usable

A

true diamond standard

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8
Q

____means that the treatment works only under selected conditions of implementation

A

Limited treatment generalization

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9
Q

____ means that the treatment works only under selected conditions of measurement

A

Limited outcome generalization

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10
Q

three elements of quantitative research

A
  1. a research problem,
  2. research design and
  3. hypothesis
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11
Q

a question that asks the relationship between and among variables

A

A research problem

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12
Q

the plan on how the relationship of the variables shall be tested.

A

research design

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13
Q

two major research designs in quantitative research:

A
  1. descriptive and
    □ A descriptive research design collects data from the site without introducing intervention.
  2. experimental.
    □ An experimental research design introduces intervention (cause) and measures the effect of such intervention.
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14
Q

a statement drawn from a theory on the relationship of the variables to be tested and analyzed statistically

A

hypothesis

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15
Q

Yardstick which refers to the confidence that the instrument used is able to measure what it is supposed to measure

A

Reliability

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16
Q

Yardstick which refers to the confidence in the resulting causal relationship between the two variables (at it corresponds to the real world)

A

Validity

17
Q

Yardstick which refers to the confidence that what happens in the sample will happen in the population

A

Generalizability

18
Q

Quantitative methodology follows the________, that is, what is true to the sample (assumed to observe the required normal distribution) should be true to the population.

A

logic of probability

19
Q

________ is an important measure of a good quantitative research because it increases the confidence that the sample result can be generalized to the population

A

validity

20
Q

A ________, in ordinary language, is a numerical description of a population, usually based on a sample of that population.

A

statistic

21
Q

Statistics used to describe the distribution of and relationship among variables.

A

descriptive statistics

22
Q

Statistics used to **estimate the degree of confidence **that can be placed in generalizations from a sample to the larger population from which the sample was selected

A

inferential statistics

23
Q

hypothesis that there is no relationship in the population,

A

null hypothesis,

24
Q

hypothesis that suggests that there is a relationship

A

research hypothesis

25
Q

sampling error decreases as sample size _________

A

increases

26
Q

several of the most commonly used test to test hypothesis

A

chi-square test, the t test (briefly described below), and the analysis of variance, typically abbreviated as ANOVA.

27
Q

general procedure for isolating the sources of variability in a set of measurements to determine the extent to which the effect of an independent variable is a major component.

A

Analysis of variance