research methods Flashcards

1
Q

What is the Experimental Method?

A

Involves the manipulation of an independent variable to measure the effect on the dependent variable. Experiments may be laboratory, field, natural or quasi.

The experimental method is foundational in scientific research, allowing researchers to establish cause-and-effect relationships.

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2
Q

What does the Aim of a study refer to?

A

A general statement of what the researcher intends to investigate: the purpose of the study.

The aim provides direction for the research and helps in formulating hypotheses.

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3
Q

Define Hypothesis.

A

A clear, precise, testable statement that states the relationships between the variables to be investigated.

A hypothesis is typically formulated before conducting the experiment.

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4
Q

What is a Directional hypothesis?

A

States the direction of the difference or relationship.

This type of hypothesis predicts a specific outcome, such as ‘A will be greater than B.’

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5
Q

What is a Non-directional hypothesis?

A

Does not state the difference.

This type of hypothesis simply suggests that there will be a difference, without specifying its direction.

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6
Q

What are Variables in an experiment?

A

Any ‘thing’ that can carry or change within an investigation.

Variables are essential in experiments as they help in understanding the relationship between different factors.

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7
Q

What is an Independent variable (IV)?

A

Some aspect of the experimental situation that is manipulated by the researcher - or changes naturally - so the effect on the DV can be measured.

The IV is what the researcher changes to observe how it affects the dependent variable.

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8
Q

What is a Dependent variable (DV)?

A

The variable that is measured by the researcher. Any effect on the DV should be caused by the change in the IV.

The DV is the outcome that is observed and measured in response to the IV.

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9
Q

What does Operationalisation refer to?

A

Clearly defining variables in terms of how they can be measured.

This process helps in making variables measurable and ensures clarity in research.

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10
Q

Define Extraneous variable (EV).

A

Any variable, other than the IV, that may have an effect on the DV if it is not controlled.

EVs can introduce noise into the results, making it difficult to determine the true effect of the IV.

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11
Q

What is a Confounding variable?

A

Any variable, other than the IV, that may have affected the DV so we cannot be sure of the true source of changes to the DV.

Confounding variables can skew the results, leading to incorrect conclusions about the relationship between the IV and DV.

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12
Q

What are Demand characteristics?

A

Any cue from the researcher from the research situation that may be interpreted by participants as revealing the purpose of the investigation.

These cues can lead to changes in participant behavior, potentially biasing the results.

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13
Q

Define Investigator effects.

A

Any effect of the investigator’s behavior (conscious or unconscious) on the research outcome (the DV).

Investigator effects can arise from the way a study is designed or how participants are interacted with.

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14
Q

What is Randomisation in research?

A

Using chance - such as tossing a coin or picking names from a hat - to control for the effects of bias when designing a research study.

Randomisation helps ensure that the sample is representative and reduces systematic bias.

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15
Q

What are Standardised procedures?

A

Using exactly the same formalised procedures and instructions for all participants in a research study.

Standardisation ensures consistency across all trials, enhancing the reliability of the findings.

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16
Q

What does Experimental design refer to?

A

The different ways in which participants can be organized in relation to the conditions in an experiment.

The design affects the validity and reliability of the results.

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17
Q

What are Independent groups in experimental design?

A

Participants are allocated to different groups where each group represents one experimental condition (level of the independent variable).

This design helps to avoid order effects, as different participants are used for each condition.

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18
Q

What are Matched pairs in experimental design?

A

Pairs of participants are matched in terms of variables relevant to the study, such as age, IQ.

This design aims to control for participant variables by ensuring that each condition has similar participants.

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19
Q

What are Repeated measures in experimental design?

A

When all participants take part in all conditions of the experiment.

This design can increase the sensitivity of the experiment but may introduce order effects.

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20
Q

Define Order effects.

A

An extraneous variable arising from the order in which conditions are presented (boredom, fatigue).

These effects can confound the results in repeated measures designs.

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21
Q

What is Counterbalancing?

A

Used in repeated measures designs to control for order effects. Half the participants complete the conditions in one order, and the other half in the opposite order.

This technique helps mitigate the impact of order effects on the results.

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22
Q

What is Random allocation?

A

An attempt to control for participant variables in an independent groups design which ensures that each participant has the same chance of being in one condition as any other.

Random allocation promotes fairness and reduces bias in participant selection.

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23
Q

What is a maturity experiment?

A

An experiment where the independent variable is naturally occurring

The experimenter records the effect of the change on the dependent variable.

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24
Q

What is a quasi-experiment?

A

A study that involves existing variables, such as age, that are not manipulated by the researcher

Strictly speaking, this is not an experiment.

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25
What is the definition of population in research?
A group of people who are the focus of the researchers' interest, from which the sample is drawn.
26
Define sample in the context of research.
A group of people who take part in a research investigation, presumed representative of the population.
27
What are sampling techniques?
The method used to select people from the population.
28
What does bias refer to in sampling?
When certain groups may be over/underrepresented within the sample selected.
29
What is generalisation in research?
The extent to which findings can be broadly applied to the population.
30
What is an opportunity sample?
Produced by selecting people who are willing and available at the time.
31
What is a random sample?
Produced by using a random technique where every member has an equal chance of being selected.
32
Define stratified sample.
Produced by selecting participants in proportion to their frequency in the target population.
33
What is a systematic sample?
Produced by selecting every nth person on a list of the target population.
34
What is a volunteer sample?
Produced by participants selecting themselves to be part of the sample.
35
What are the British Psychological Society (BPS) guidelines?
A code of conduct that every professional psychologist in the UK must follow, based on four principles: respect, competence, responsibility, integrity.
36
What is an ethical issue in research?
When there is a conflict between the rights of participants to be safe and the goals of research.
37
What is a pilot study?
A small-scale version of an investigation conducted before the real investigation to check procedures and materials.
38
What is naturalistic observation?
Watching and recording behaviour in the setting within which it would normally occur.
39
What is controlled observation?
Watching and recording behaviour within a structured environment where some variables are managed.
40
What is covert observation?
Participant's behaviour is watched and recorded without their knowledge or consent.
41
What is overt observation?
Participant's behaviour is watched and recorded with their knowledge and consent.
42
What is participant observation?
The researcher becomes a member of the group whose behaviour they are watching and recording.
43
What is non-participant observation?
The researcher remains outside of the group whose behaviour they are watching and recording.
44
What are behaviour categories?
When a target behaviour is broken up into components that are observable and measurable.
45
What is event sampling?
A target behaviour or event is first established then the researcher records this event every time it occurs.
46
What is time sampling?
A target individual or group is established then the researcher records their behaviour in a fixed time frame.
47
What is a self-report technique?
Any method in which a person is asked to state or explain their own feelings, opinions, behaviours and/or experiences.
48
What is an interview?
An interaction between an interviewer and an interviewee to determine thoughts and feelings on a topic.
49
What is a questionnaire?
A set of written questions used to find out a person's thoughts or attitudes on a particular topic.
50
Define a closed question.
One that has a fixed range of possible answers and produces quantitative data.
51
Define an open question.
One that invites respondents to provide their own answer, producing qualitative data.
52
What is correlation?
A mathematical technique used to investigate the relationship or association between two variables, called co-variables.
53
What are co-variables?
The variables investigated within a correlation, such as height and weight.
54
What is a positive correlation?
As one co-variable increases, so does the other.
55
What is a negative correlation?
As one co-variable increases, the other decreases.
56
What is zero correlation?
When there is no relationship between the co-variables.
57
What is qualitative data?
Data expressed in words and is non-numerical.
58
What is quantitative data?
Data that can be counted, usually given as numbers.
59
Define primary data.
Information obtained first hand by the researcher for a research project.
60
Define secondary data.
Information gathered by someone other than the researcher before the current investigation.
61
What is meta-analysis?
Research about research involving combining results from multiple studies on a particular topic.
62
What does descriptive statistics involve?
Use of graphs, tables and summary statistics to identify trends and analyze data sets.
63
What is a measure of central tendency?
Any measure of the average value in a set of data.
64
How is the mean calculated?
By adding all numbers/scores and dividing by the number of scores.
65
What is the median?
The middle value in a data set when ordered from lowest to highest.
66
What is the mode?
The most common value(s) in a set of data.
67
Define measures of dispersion.
Any measure of the spread or variation in a set of scores.
68
What does the range represent?
The spread/dispersion in a set of data calculated by subtracting the lowest score from the highest score.
69
What is standard deviation?
A measure of dispersion that indicates how much scores deviate from the mean.
70
What is a bar chart?
A graph where the frequency of each variable is represented by the height of the bar.
71
Define scattergram.
A graph that represents the strength and direction of a relationship between co-variables.
72
What is a frequency table?
A systematic way of representing data organized in rows and columns.
73
What distinguishes a histogram from a bar chart?
In a histogram, the data has a true zero and logical sequence with no spaces between bars.
74
What is normal distribution?
A symmetrical spread of frequency data forming a bell-shaped curve.
75
What is a skewed distribution?
A spread of frequency data that is not symmetrical.
76
What characterizes a positive skew?
A long tail on the positive (right) side with most data concentrated on the left.
77
What characterizes a negative skew?
A long tail on the negative (left) side with most data concentrated on the right.
78
What is peer review?
Assessment of scientific work by specialists in the same field to ensure high quality research.
79
Define economy.
The state of a country or region in terms of production and consumption of goods and services.
80
What is a correlation?
A mathematical technique investigating an association between two variables, called co-variables. ## Footnote Correlations help in understanding the relationship between variables.
81
What does the correlation coefficient represent?
A number between -1 and +1 that indicates the direction and strength of a relationship between variables. ## Footnote A coefficient close to +1 indicates a strong positive relationship, while close to -1 indicates a strong negative relationship.
82
Define case studies.
An in-depth investigation, description and analysis of a single individual, group, institution or event. ## Footnote Case studies provide detailed contextual analysis of a limited number of events or conditions.
83
What is content analysis?
A research technique that enables the indirect study of behaviour by examining communications produced by people. ## Footnote Examples include texts, emails, TV, film, and other media.
84
What is coding in content analysis?
The stage of content analysis where communication is analyzed by identifying instances of chosen categories. ## Footnote Categories may include words, sentences, phrases, etc.
85
What is thematic analysis?
An inductive and qualitative approach to analysis that involves identifying implicit or explicit ideas within data. ## Footnote Themes often emerge after the data has been coded.
86
Define reliability in research.
The consistency of findings from an investigation or measuring device. ## Footnote A reliable measuring device produces consistent results every time it is used.
87
What is test-retest reliability?
A method of assessing the reliability of a questionnaire or psychological test by evaluating the same person on two separate occasions. ## Footnote This shows if the test produces consistent answers over time.
88
Define inter-observer reliability.
The extent of agreement between two or more observers involved in observations of a behaviour. ## Footnote High inter-observer reliability is indicated when (total number of agreements) / (total number of observations) > +.80.
89
What is validity in research?
The extent to which an observed effect is genuine and measures what it was supposed to measure. ## Footnote Validity also considers whether findings can be generalized beyond the research setting.
90
What is face validity?
A basic form of validity where a measure is scrutinized to determine if it appears to measure what it is supposed to measure. ## Footnote For example, does a test of anxiety look like it measures anxiety?
91
What is concurrent validity?
The extent to which a psychological measure relates to an existing similar measure. ## Footnote It assesses how well one measure correlates with another.
92
Define ecological validity.
The extent to which findings from a research study can be generalized to other settings and situations. ## Footnote This is a form of external validity.
93
What is temporal validity?
The extent to which findings from a research study can be generalized to other historical times and eras. ## Footnote This is also a form of external validity.
94
What is a statistical test used for?
To determine whether a significant difference or correlation exists and whether the null hypothesis should be rejected or retained. ## Footnote Statistical tests are essential for validating research findings.
95
What are levels of measurement?
Classifications of quantitative data types, such as nominal, ordinal, and interval. ## Footnote Understanding levels of measurement is critical for selecting appropriate statistical tests.
96
What is the Chi-Squared test used for?
To test for an association (difference or correlation) between two variables or conditions. ## Footnote Data should be at nominal level using an unrelated (independent) design.
97
What does the Mann-Whitney test assess?
A significant difference between two sets of scores. ## Footnote Data should be at least ordinal level using an unrelated design (independent).
98
What is the Wilcoxon test used for?
To assess a significant difference between two sets of scores. ## Footnote Data should be at least ordinal level using a related design (repeated measures).
99
What does Spearman's rho measure?
Correlation when data is at least ordinal level. ## Footnote It is a non-parametric measure of rank correlation.
100
What is Pearson's r?
A parametric test for correlation when data is at interval level. ## Footnote It assesses the strength and direction of the linear relationship between two variables.
101
What does a related t-test compare?
The difference between two sets of scores. ## Footnote Data must be interval with a related design, such as repeated measures or matched pairs.
102
What is an unrelated t-test?
A parametric test for difference between two sets of scores. ## Footnote Data must be interval with an unrelated design, i.e. independent groups.
103
What is nominal data?
Categories ## Footnote Nominal data represents different categories without a specific order.
104
What is ordinal data?
Order ## Footnote Ordinal data involves categories with a defined order but no consistent interval between them.
105
What is interval data?
Units of equal intervals ## Footnote Interval data has meaningful distances between values but no true zero point.
106
What does probability measure?
Likelihood of an event occurring ## Footnote Probability ranges from 0 (impossibility) to 1 (certainty).
107
What does significance indicate in statistics?
Certainty of a difference or correlation ## Footnote A significant result allows rejection of the null hypothesis.
108
What is a critical value in hypothesis testing?
Numerical boundary for hypothesis acceptance/rejection ## Footnote It separates the acceptance region from the rejection region.
109
Define Type 1 error.
Incorrect rejection of a true null hypothesis ## Footnote Also known as a false positive.
110
Define Type 2 error.
Failure to reject a false null hypothesis ## Footnote Also known as a false negative.
111
What is the purpose of the abstract in a research report?
Key details of the research ## Footnote It summarizes the main findings and significance of the study.
112
What is included in the introduction of a research report?
Past research, aims, and hypothesis ## Footnote It provides context and rationale for the study.
113
What does the method section describe in a research report?
Research design, sample, apparatus/material, procedure, ethics ## Footnote It details how the study was conducted.
114
What is found in the results section of a research report?
Findings including descriptive and inferential statistics ## Footnote It presents the data analysis outcomes.
115
What is the discussion section meant to convey?
Implications of results in terms of psychological theory ## Footnote It interprets the findings and their relevance.
116
What does the references section include?
List of sources referred to or quoted ## Footnote It provides complete details of journals, books, or websites used.