PR - terms #2 Flashcards

1
Q

These studies are deductive, they call for extensive reviews, because they are designed to test a theory developed from the review

A

Quantitative studies

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2
Q

These take an inductive approach and do not require a hypothesis to guide their study (they rely on data)

A

Qualitative

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3
Q

A researcher’s beliefs about what is ethical and valuable

A

Axiology

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4
Q

A researcher’s beliefs about reality

A

Ontology

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5
Q

A researcher’s beliefs about his or her role during the research process. (Should he or she be actively involved or try to act as an observer?)

A

Epistemology

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6
Q

This is the methodological approach to answering research questions and testing hypothesis

A

Methodology

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7
Q

This term believes they must be objective and separate themselves from the problem they are investigating

A

Dualism

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8
Q

This type of sampling is generally used quantitative studies where we are trying to identify a sample that represents, as closely as possible, the population it was selected from.

A

Random Samples

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9
Q

These are also a probabilistic and nonprobabilistic sampling

A

Random sampling and nonrandom sampling (these are 2 major approaches in research)

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10
Q

This is used in quantitative study to identify the population that they are working with

A

Sampling frame

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11
Q

This is when you wan your samples to be as representative as the characteristics as possible

A

Generalizability

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12
Q

This is when the sample isn’t generalizable and the results based on the samples are not likely valid and will not reflect true values in the population

A

Sampling Bias

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13
Q

This is the best approach when you are trying to ensure your sample is reflective of the population to minimize sampling bias

A

Simple random sampling

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14
Q

This is a type of sampling where every member of the population must have an equal chance of being selected

A

Probabilistic sampling

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15
Q

Samples are created by randomly selecting pre-existing groups from within a population

A

Cluster sampling (Random approach)

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16
Q

This is the most problematic sampling in terms of generalizability. (It starts from a random point in the population and every nth subject will be selected)

A

Systematic sampling (Random approach)

17
Q

Subgroups within a population that must be
proportionately represented in a sample are
identified. Participants from each of the subgroups are then randomly chosen for inclusion in the sample.

A

Stratified sampling (random approach)

18
Q

A sample is created from members of a population who happen to be readily available.

A

Convenience sampling (Nonrandom approach)

19
Q

This is similar to stratified sampling, except that, after stratification, members of the sample are selected based on a pre-specified proportion

A

Quota sampling (nonrandom approach)

20
Q

A sample is selected from a population based on defined inclusion criteria.

A

Purposive sampling (nonrandom approach)

21
Q

An initial participant who meets the criteria
for inclusion in the sample is selected from the population. The sample size is increased by that participant recruiting other like participants into the sample. All identified participants then, in turn, recruit additional participants.

A

Snowball sampling (nonrandom approach)

22
Q

What are the four distinct types of numeric data

A

Nominal
ordinal
interval and
ratio

23
Q

are instruments that are used to numerically measure constructs, that is, values we know exist but aren’t tangible.

A

Affective Tests

24
Q

developed to measure performance in a specific subject area.

A

achievement tests

25
Q

Information such as gender, ethnicity, age, and race are collected and saved on a

A

demographic data form.

26
Q

In the field of psychology we use this to measure constructs or ideas that we know exist, but we are not able to collect the data in a standard manner.

A

Projective tests