Psychological Research Flashcards

1
Q

Independent variable

A

Variable manipulated by researcher

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2
Q

Dependent variable

A

Participants response

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3
Q

Continuous variable

A

Continuous variables have a continuum of possible values and involve measuring

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4
Q

Categorical variable

A

Groupings or categories of values

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5
Q

Discrete variables

A

Values restricted to whole numbers

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6
Q

Nominal Measures

A

Not ordered and have no numerical value - numbers are only used to classify an object - “tags” or “labels”
Nominal variables are usually “frequency” data and used for discrete variables

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7
Q

Ordinal Measures

A

Ordered catergories that reflect ranking of objects or events and used to represent things like freuqency, satisfaction, pain level etc.
Qualitative

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8
Q

Interval and Ratio Measures

A

Numerical scales - the order of variables is known as well as the difference between them.
The difference between these two measures - ratio have a true zero (and has highest level of specificity) whereas in interval the zero is arbitrary

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9
Q

3 main goals of the scientific approach

A

To describe, predict (future events and correlations) and understand (cause of phenomena)

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10
Q

Experimental research

A

Manipulates variables to assess cause and effect

Establish cause

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11
Q

What is operationalisation?

A

It is the process of turning abstract concepts into measurable observations. It involves defining how a concept/variable can be measured, observed, or manipulated.

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12
Q

Descriptive research

A

Research methods that attempt to describe phenomena - not cause and effect. Use observation and case studies
(Describe)

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13
Q

Correlational research

A

Examines the extent to which 2 or more variables are related and can be used to predict one another - cannot establish causation
(Predict)

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14
Q

Measures of central tendency

A

Used in descriptive statistics to identify the averages of a set of data - the three main measures are mean (average), median (middle number of data when in consecutive order) and mode (the most common value)

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15
Q

Normal distribution

A

Distribution of data that has roughly the same amount of data on either side of the middle and most common values in the middle - shown by symmetrical bell curve

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16
Q

What does it mean in a data set when the mean, mode and median are all the same?

A

The distribution of data is completely normal

17
Q

What does range measure?

A

The variability which is shown by the difference between the highest and lowest values

18
Q

Statistical significance

A

The likelihood that results of a study have occured by chance.

19
Q

Effect size

A

Tells you how meaningful the relationship between variables or the difference between groups is.
Large effect sizes mean the difference is important; small effect sizes mean the difference is unimportant

20
Q

Confidence intervals

A

Range of values that shows the probability that an unknown population parameter falls within the the interval (population mean) with a certain level of confidence - usually 95%.

21
Q

What is μ (mu)?

A

Used to denote the population mean

22
Q

Correlation coefficient

A

Measures the extent to which two variables are related

23
Q

Quasi-experimental designs

A

Design that has the logic of experimental methods but lacks control of variables - attempts to establish a cause-and-effect relationship

24
Q

Analysis of variance (AWOL)

A

Statistical procedure used to compare the means of two or more groups

25
Q

Chi-square test

A

Test of statistical significance when both independent and dependent variables are categorical

26
Q

t test

A

test of statistical significance when comparing mean scores of two groups to find if there is a significant difference

27
Q

p value

A

The probability that findings happened by chance.

A p value of 0.05 or lower means results are significant.

28
Q

Measure

A

A concrete means in determining the value of a variable

29
Q

Interval Estimation

A

Provides a range of values based on observation from 1 sample and gives information about the closesness to unknown population parameter