Everything Flashcards

1
Q

Validity.

A

The extent to which a tool or instrument measures what it is supposed to measure.

  • precision.
  • inductive reasoning.
  • strength of qualitative research.
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2
Q

Reliability.

A

The degree to which a tool or instrument produces consistent or similar results.

  • accuracy.
  • deductive reasoning.
  • strength of quantative research.
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3
Q

What are the 3 main methods to approaching finding evidence?

A
  1. Informally.
  2. Focused.
  3. Surveying the existing literature.
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4
Q

Sampling error.

A

When the groups of participants chosen is inadequate or not random enough.

  • random errors.
  • systematic errors.
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5
Q

Random errors.

A
  • under or over representation of certain groups.
  • likelihood of error can be reduced by increasing the sample size.
  • standard deviation changes.
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6
Q

Systematic errors.

A
  • inconsistencies or errors in the sampling frame.
  • CANNOT be reduced by increasing sample size.
  • mean changes.
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7
Q

Common observational study designs?

A
  • descriptive research.
  • diagnostic accuracy studies.
  • epidemiological research.
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8
Q

Descriptive statistics.

A

Refer ONLY to the sample-not attempting to generalise beyond the sample.

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9
Q

Diagnostic accuracy studies.

A

Evaluates how well a diagnostic or assessment procedure:

  • correctly identifies people who have the health condition the procedure is designed to protect.
  • correctly identifies people who do not have the health condition.
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10
Q

Meta-analysis.

A

Specialised statistical technique for combining the results from a set of quantative studies in a systematic review.

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11
Q

Can have reliability without validity.

A

👍🏻.

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12
Q

Inferential statistics.

A

Go beyond the sample to help us infer what happens in the wider population.

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13
Q

Central tendency.

A

Refers to the mid-way point between the highest and the lowest of a sample of scores on a continuous variable.

  • mean.
  • median.
  • mode.
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14
Q

Dispersion.

A

Refers to how spread out the scores are on a continuous variable.

  • standard deviation.
  • the minimum and maximum.
  • the range.
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15
Q

Two types of inferential statistics.

A
  • t-test.

- analysis of variance.

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16
Q

T-test.

A

Used to compare the average scores between two different groups in a study to see if the groups are different from each other (ONLY between TWO groups).

17
Q

Analysis of variance.

A

A test that compares the average scores between 3 or more different groups in a study to see if the groups are different from each other e.g. Comparing 3 types of teaching styles.

18
Q

Double blind experiment study.

A

Participants and researchers aren’t aware of what groups their in (can’t influence their behaviour).

19
Q

Saturation.

A

Little or no new data is generated from the participants and it is believed that the sample size is adequate.

20
Q

Triangulation.

A

The use of more than one method in combination.

21
Q

Reflexivity.

A

Thinking carefully about what’s going on and how their own perspective might be influencing the data.

22
Q

Infer-rater reliability.

A

Inducing more than one researcher to help with the analysis of the same data independently.

23
Q

What 3 approaches greatly improve the validity of quantitative research?

A
  1. Triangulation.
  2. Reflexivity.
  3. Inter-rater reliability.
24
Q

Progressive focusing.

A
  • qualitative technique.

- allow for and often require modification of the research question in light of the findings.

25
Q

Ethnography (passive observation).

A

Systematic watching of behaviours and conversations in naturally occurring settings (researcher is meant to observe the culture from the point of view of the participant).

26
Q

Ethnography (participant observation).

A

Observation in which the researcher also occupies a role or part in the setting in addition to observing.

27
Q

Phenomenology.

A

Focusing on people’s lived experiences and how they interpret those experiences.

28
Q

Case studies.

A

Used to look at individuals, a small group of participants or group as a whole.

29
Q

Grounded theory.

A

Literally from “the ground up.” Approach starts with no preconceptions and develops Therese and ideas as the data is collected and analysed.

30
Q

What are the two most common types of qualitative data collection?

A

Interviews and observations.