Research methods - Chapter 1 Flashcards

1
Q

define ‘bar chart’

A

A graph used to represent the frequency of data; the categories on the x-axis have no fixed order and there is no true zero

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2
Q

define ‘closed questions’

A

Questions that have a predetermined range of answers from which respondents select one. Produces quantitative data

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3
Q

define ‘Confidentiality’

A

Concerns the communication of personal information from one person to another, and the trust that the information will be protected.

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4
Q

define ‘Continuous variable’

A

A variable that can take on any value within a certain range. Liking football (on a scale of 1-10) is continuous whereas the football team a person supports isn’t. The latter could be arranged in any order

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5
Q

define ‘control group’

A

A group of which any variable is held constant or regulated by a researcher.

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6
Q

define ‘controlled observation’

A

A form of investigation in which behaviour is observed but under conditions where certain variables have been organised by the researcher.

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7
Q

define ‘Correlation coefficient’

A

A number between -1 and +1 that tells us how closely the co-variables in a correlation analysis are associated.

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8
Q

define ‘cost-benefit analysis’

A

A systematic approach to estimating the negatives and positives of any research

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9
Q

define ‘counterbalancing

A

An experimental technique used to overcome order effects when using a repeated measures design. Counterbalancing ensures that each condition is tested first or second in equal amounts

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10
Q

define ‘co-variable’

A

Co-variables are variables that are used when looking at correlations. Correlations are common relationships that two variables have.

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11
Q

define ‘covert observation’

A

Observing people without their knowledge. Knowing that behaviour is being observed is likely to alter a participants behaviour.

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12
Q

define ‘Curvilinear correlation’

A

A non-linear relationship between co-variables

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13
Q

define ‘deception’

A

A participant is not told the true aims of a study (e.g what participation will involve) and thus cannot give truly informed consent.

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14
Q

define ‘Dependent variable [DV]’

A

A measurable outcome of the action of the independent variable in an experiment

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15
Q

define ‘effect size’

A

A measure of the strength of the relationship between two variables.

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16
Q

define ‘Ethical guidelines (code of conduct)’

A

A set of principles designed to help professionals behave honestly and with integrity.

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17
Q

define ‘ethics committee’

A

A group of people within a research institution must approve a study before it begins.

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18
Q

define ‘event sampling’

A

An observational technique in which a count is kept of the number of times a certain behaviour (event) occurs.

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19
Q

define ‘experimental design’

A

A set of procedures used to control the influence of factors such as participant variables in an experiment.

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20
Q

define ‘field experiment’

A

A controlled experiment conducted outside a lab. The IV is still manipulated by the experimenter, and therefore casual relationships can be demonstrated. Field experiments tend to have low internal validity (more difficult to control extraneous and confounding variables) and higher external validity (greater mundane realism). Participants are usually unaware that they are participating in an experiment; thus their behaviour may be more natural and they are less likely to respond to cues from the experimenter.

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21
Q

define ‘fraction’

A

A method of expressing parts of a whole.

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22
Q

define ‘histogram’

A

Type of frequency distribution in which the number of scores in each category of continuous data are represented by vertical columns. There is a true zero and no spaces between the bars.

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23
Q

define ‘Independent groups design’

A

Participants are allocated to two (or more) groups representing different levels of the IV. Allocation is usually done using random techniques.

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24
Q

define ‘Intervening variable’

A

A variable that comes between two other variables, which is used to explain the association between those two variables. For example, if a positive correlation is found between ice cream sales and violence this may be explained by an intervening variable - heat - which causes the increase in ice cream sales and the increase in violence

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25
Q

define ‘interview’

A

A research method or technique that involves a face-to-face, ‘real-time’ interaction with another individual and results in the collection of data.

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26
Q

define ‘Laboratory experiment’

A

An experiment carried out in a controlled setting. Lab experiments tend to have high internal validity because good control over all variables is possible. They tend to have low ecological validity because participants are aware they are being studied and also the tasks involved tend to be more artificial.

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27
Q

define ‘linear correlation’

A

A systematic relationship between co-variables that is defined by a straight line.

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28
Q

define ‘matched pairs design’

A

Pairs of participants are matched in terms of key variables such as age and IQ. One member of each pair is allocated to one of the conditions under test and the second person is allocated to the other condition.

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29
Q

define ‘mean’

A

The arithmetic average of a data set. Take the exact values of all the data into account.

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30
Q

define ‘measure of dispersion’

A

A descriptive statistic that provides information about how spread out a set of data are.

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31
Q

define ‘Measures of central tendency’

A

A descriptive statistic that provides information about a ‘typical’ value for a data set.

32
Q

define ‘median’

A

The middle value of a data set when the items are placed in rank order.

33
Q

define ‘meta-analysis’

A

A researcher looks at the findings from a number of different studies and produces a statistic to represent the overall effect.

34
Q

define ‘mode’

A

The most frequently occuring value or item in a data set.

35
Q

define ‘natural experiment’

A

A research method in which the experiment has not manipulated the independent variable (IV) directly. The IV would vary whether or not the researcher was interested. The researcher records the effect of the IV on a dependent variable (DV) - this DV may be measured in a lab. Strictly speaking, an experiment involves the deliberate manipulation of an IV and random allocation to conditions by the experimenter - neither of which apply to a natural experiment and therefore causal conclusions can only be tentatively be drawn.

36
Q

define ‘naturalistic observation’

A

An observation carried out in an everyday setting, in which the investigator does not interfere in any way but merely observes the behaviour(s) in question.

37
Q

define ‘negative correlation’

A

Describe a correlation where, as one co-variable increases, the other decreases.

38
Q

define ‘Negative skewed distribution’

A

Most of the scores are bunched towards the right. The mode is to the right of the mean because the mean is affected by the extreme scores tailing off to the left.

39
Q

define ‘Non-participant observation’

A

The observer is seperate from the people being observed.

40
Q

define ‘normal distribution’

A

A symmetrical bell-shaped frequency distribution. This distribution occurs when certain variables are measured, such as IQ or the life of a light bulb. Such ‘events’ are distributed in such a way that most of the scores are clustered close to the midpoint; the mean, median and mode are the mid-point.

41
Q

define ‘open questions’

A

Questions that invite respondents to provide their own answers rather than select one of those provided. Tends to produce qualitative data

42
Q

define ‘order effect’

A

In a repeated measures design, an extraneous variable arising from the order in which conditions are presented, e.g. a practice effect or fatigue effect

43
Q

define ‘order of magnitude’

A

A means of expressing a number by focusing on the overall size (magnitude). This is done by expressing the number in terms of powers of 10.

44
Q

define ‘overt observation’

A

Observing people without their knowledge. Knowing that behaviour is being observed is likely to alter a participants behaviour.

45
Q

define ‘participant observation’

A

Observations made by someone who is also participating in the activity being observed, which may affect their objectivity.

46
Q

define ‘percentage’

A

A method of expressing parts of a whole.

47
Q

define ‘positive correlation’

A

Refers to the instance, in a correlation, of co-variables both increasing together

48
Q

define ‘positive skewed distribution’

A

Most of the scores are bunched towards the left. The mode is to the left of the mean because the mean is affected by the extreme scores tailing off to the right.

49
Q

define ‘presumptive consent’

A

A method of dealing with the lack of informed consent or deception, by asking a group of people who are similar to the participants whether they would agree to take part in the study. If this group of people consents to the procedures in the proposed study, it is presumed that the real participants would also have agreed.

50
Q

define ‘primary data’

A

Information observed or collected directly from first-hand experience.

51
Q

define ‘privacy’

A

A person’s right to control the flow of information about themselves.

52
Q

define ‘protection from harm’

A

During a research study, participants should not experience negative physical or psychological effects, such as physical injury, lowered self-esteem or embarrassment.

53
Q

define ‘qualitative data’

A

Information in words that cannot be counted or quantified. Qualitative data can be turned into quantitative data by placing them in categories and counting frequency.

54
Q

define ‘quantitative data’

A

Information that represents how much or how long, or how many, etc. there are of something, i.e. a behaviour is measured in numbers or quantities.

55
Q

define ‘quasi-experiment’

A

Studies that are ‘almost’ experiments. The independent variable is actually not something that varies at all - it is a condition that exists. The researcher records the effect of this ‘quasi-IV’ on a dependent variable (DV). As with a natural experiment, the lack of manipulation of the IV and the lack of random allocation means that causal conclusions can only be tentatively drawn.

56
Q

define ‘questionnaire’

A

Data are collected through the use of written questions

57
Q

define ‘random allocation’

A

Allocating participants to experimental groups or conditions using random techniques.

58
Q

define ‘range’

A

The difference between the highest and the lowest item in a data set. Usually 1 is added as correction.

59
Q

define ‘ratio’

A

A method of expressing parts of a whole.

60
Q

define ‘repeated measures design’

A

Each participant takes part in every condition under test, i.e. each level of the IV.

61
Q

define ‘review’

A

A consideration of a number of studies that have investigated the same topic in order to reach a general conclusion about a particular hypothesis.

62
Q

define ‘right to withdraw’

A

Participants can stop participating in a study if they are uncomfortable in any way. This is especially important in cases where it was not possible to give fully informed consent. Participants should also have the right to refuse permission for the researcher to use any data they produced.

63
Q

define ‘scatter gram’

A

A graphical representation of the association (i.e. the correlation) between two sets of scores.

64
Q

define ‘secondary data’

A

Information used in a research study that was collected by someone else or for a purpose other than the current one. For example, published data or data collected in the past.

65
Q

define ‘sign test’

A

A statistical (inferential) test to determine the significance of a sample of related items.

66
Q

define ‘significant figure’

A

Refers to the number of important single digits used to represent a number. The digits are ‘important’ because , if removed, the number would be quite different in magnitude.

67
Q

define ‘skewed distribution’

A

A distribution is skewed if one tail is longer than another, signifying that there are a number of extreme values to one side or the other of the mid-score.

68
Q

define ‘standard deviation’

A

Shows the amount of variation in a data set. It assesses the spread of data around the mean.

69
Q

define ‘structured interview’

A

Any interview in which the questions are decided in advance.

70
Q

define ‘structured observation’

A

A researcher uses various systems to organise observations, such as behavioural categories and sampling procedures.

71
Q

define ‘time sampling’

A

An observational technique in which the observer records behaviours in a given time frame, e.g. noting what a target individual is doing every 15 seconds or 20 seconds or 1 minute. The observer may select one or more behavioural categories to tick at this time interval.

72
Q

define ‘unstructured interview’

A

The interview starts out with some general aims and possibly some questions, and lets the interviewee’s answers guide subsequent questions.

73
Q

define ‘zero correlation’

A

A correlation where the co-variables are not linked.

74
Q

define ‘non-parametric’. Describe what non-parametric data would look like.

A

antithesis of this.
do not require homogeneity of variance or a normally distributed data set.
the results they provide are therefore less conclusive, making parametric favourable.

75
Q

define ‘correlation’

A

Determining the extent of an association between two variables; co-variables may not be linked at all (zero correlation), they may both increase together (positive correlation), or as one co-variable increases, the other decreases.