Statistics and brain scans Flashcards

1
Q

EEG electroencephalogram

A

measures electrical activity on surface of brain with electrodes on scalp due to nerve cells producing electricity when firing.

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2
Q

CAT computerised axial tomography scan

A

rotating x-ray tube around head producing series of x-ray pictures. Computer combines pictures into one.

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3
Q

MRI magnetised resonance imaging

A

A neuroimaging technique that produces an image of the brain without x-rays but with magnetic fields and radio waves.

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4
Q

DTI diffusion tensor imaging

A

maps neuronal pathways and measures structural connectivity in the human cortex in vivo.

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5
Q

PET positron emission tomography

A

small amount of radioactive glucose injected in bloodstream then used by computer imaging to produce colour portrait of brain displaying active areas (nerve cells use glucose for energy).

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6
Q

Percentile

A

Percentage of data that falls below the value. 50th percentile is the median. Quartiles and quintiles are quarters and fifths or 25th and 20th percentile.

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7
Q

Inferential statistics

A

Assess whether results obtained with a sample reflect whole population.

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8
Q

Statistical significance

A

Likelihood results of a study occurred by chance. Measured with p-value, less than 5% or p<0.05 is statistically significant.

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9
Q

t-test

A

Compares mean scores of two groups to test for statistical difference.

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10
Q

ANOVA analysis of variation

A

Same as t-test but for three groups or more.

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11
Q

Chi square test (X2)

A

Used when both IV and DV are categorical to test if there is a significant association between them measured with Pearson’s r= co-efficiency.

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12
Q

Effect size

A

Magnitude of experiment effect or strength of relationship measured with Cohen’s d= effect size.

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13
Q

Descriptive statistics

A

Researchers summarise data in a readily understandable form.

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14
Q

Frequency distribution

A

Shows how frequently participants received each score.

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15
Q

Measures of central tendency

A

Mean (average of all scores), Mode (most common score), and Median (score that falls in the middle of distribution, good if there are extreme scores in data).

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16
Q

Variation/ Variability

A

Spread of data, extent of different data. Histogram is useful.

17
Q

Standard deviation

A

How much each score differs from the mean.

18
Q

Range

A

Difference between smallest and largest scores.

19
Q

Normal distribution

A

Bell-shaped curve where most scores fall in the middle and fewer at each extreme. Skewed left is negative and skewed right is positive. Tail pointing indicates left or right. Mean follows tail but median does not.

20
Q

PAR participatory action research

A

Reflection, experimentation, collective inquiry, collaborative action.