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Quantitative Analysis > Class 1 > Flashcards

Class 1 Flashcards

1
Q

Data that is not restricted to defined separate values, ie fractions and decimals

A

Continuous data

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2
Q

Data that can only have particular values and cannot be broken down

A

Discrete data

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3
Q

Level of measurement that includes categorically discrete data

A

Nominal

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4
Q

Level of measurement that refers to quantities that have a natural ordering, you cannot tell the difference between categories. Between their rank alone

A

Ordinal

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5
Q

Level of measurement in which the distance between numbers does have a meaning, often ,ensuring frequency, intensity and duration

A

Interval

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6
Q

A measure of interval data with a natural zero point, time, weight, money etc

A

Ratio data

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7
Q

Understanding how things happen by watching them, creating a category and monitoring interactions

A

Observational design

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8
Q

A statement of the procedures or ways In which a researcher is going to measure behaviour and/or psychological processes or constructs

A

Operational definition

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9
Q

To see the extent to which we can infer the results to the greater population

A

Inferential statistics

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10
Q

Describes characteristics of the sample

A

Descriptive statistics

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11
Q

Everyone in the population of interest has an equal likelyhood of selection

A

Random sampling

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12
Q

A non-representative subset of some larger population and is gathered to serve a very specific purpose

A

Purposive sampling

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13
Q

A subset of purposive sampling where the sample is picked along the way

A

Snowball sampling

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14
Q

A sampling procedure where the population is divided into important categories then Randomly sampled from each category

A

Stratified sampling

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15
Q

A specific distribution having a characteristic bell shaped form, brontosaurus

A

Normal distribution

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16
Q

When a distribution leans in a particular direction

A

Skewness

17
Q

When a distribution curves to the right

A

Positive skew

18
Q

When a distribution curves to the left

A

Negative skew

19
Q

Refers to the peakedness or flatness of a distribution

A

Kurtosis

20
Q

An excess skew of 0

A

Mesokurtic

21
Q

Curve with a flattened peak like a platypus

A

Platykurtic

22
Q

Curve with a tall peak like two leaping kangaroos

A

Leptokurtic

23
Q

The arithmetic average of a set of numbers

A

Mean

24
Q

This number is the one that is the midpoint of the distribution

A

Median

25
Q

This number is the single most frequent number I’m a distribution

A

Mode

26
Q

How spread out the scores are in a distribution, the amount of spread around the mean

A

Variability

27
Q

Square root of the variance, a measure of how spread the numbers are around the mean

A

Standard deviation

28
Q

The sum of the squares deviations from the mean, divided by N

A

Variance

29
Q

The sum of the squared deviations

A

Sum of squares

30
Q

The sample people in a sample are tested for difference

A

Within subjects variance

31
Q

The variance between two or more samples

A

Between subjects variance

32
Q

Same as correlation, a statistic representing the degree to which two variable vary together

A

Covariance

33
Q

An error caused by the person conducting the experiment

A

Experimenter error

34
Q

An error caused by discrimination in the experimenter, subject, sample or Study

A

Bias

35
Q

Error caused by incorrect retrieval of memories, information is remembered in a way that is actually different from what actually happened

A

Memory distortions

36
Q

Errors of omission or commission

A

Lying

37
Q

A type of response bias that is a tendency to answer a question in a manner where they will be favourably viewed by others

A

Social desireability

38
Q

Something that impairs a persons ability to understand or perceive a question or circumstance

A

Lack of Insite/inability to articulate

39
Q

The phenomenon that arises if a sample point of a random variable is extreme, a future point will then be closer to the mean or average

A

Regression to the mean

Quantitative Analysis (2 decks)

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