Chapter 1 (second half) Module (Ethics and Statistical Reasoning) Flashcards

1
Q

Research Ethics Code

A

1) Obtain Informed Consent

2) Protect participants from greater-than-usual harm and discomfort

3) Keep information about participants confidential

4) Fully debrief participants afterwards, including temporary deception

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2
Q

Informed Consent

A

Giving potential participants enough information about a study to enable them to choose whether they wish to participate.

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3
Q

Debrief

A

The postexperimental explanation of a study, including its purpose and any deceptions, to its participants.

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4
Q

Institutional Review Boards

A

Screen research proposals and safeguard the rights, welfare and well-being of human research participants.

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5
Q

Descriptive Statistics

A

Help to generally describe data quickly.

Ex. A graph

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6
Q

Measure of Central Tendency

A

A single number communicating the “centre” of data.

Mean
Mode
Median

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7
Q

Mode

A

The most frequently occurring score(s) in a distribution.

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8
Q

Mean

A

The arithmetic average of a distribution obtained by adding the scores and then dividing by the number of scores.

A few atypical scores may distort it.

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9
Q

Median

A

The middle score in a distribution; half the scores are above it and half are below it.

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10
Q

Range

A

The gap between the lowest and highest score.

Crude estimate of variation.

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11
Q

Standard Deviation

A

Determining if scores are packed together or dispersed.

A computed measure of how much scores vary around the mean score.

Smaller standard deviation is better because it is more clustered around the mean.

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12
Q

Normal Curve

A

When data collection naturally forms a symmetrical bell-shaped distribution - with more at the means and less at the extremeties.

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13
Q

Inferential Statistics

A

Help us determine if results can be generalized to a larger population (all those in a group being studied).

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14
Q

When is an observed difference reliable (safe to generalize)?

A

1) Representative samples are better than biased (unrepresentative) samples.

2) Less-variable observations are more reliable than those that are more variable.

3) More cases are btter than fewer.

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15
Q

Null Hypothesis

A

The assumption that no differences exist between groups.

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16
Q

Statistically Significant

A

A statistical statement of how likely it is that an obtained result occurred by chance if the null hypothesis were true.

Large sample with big difference between participants = higher chance of statistical significance.

Less than 5% chance that the results are just chance (probability of the null hypothesis).

Not the same as practical significance.

17
Q

Alternative Hypothesis

A

A difference does exist between the groups being studied.

18
Q

Effect Size

A

The size difference between groups.