Research Methods Flashcards

(34 cards)

1
Q

Define Hypothesis and the difference between a directional and a non directional hypothesis

A

A clear precise statement that states the relationship between the variables to be investigated.

Directional: States the direction of the difference or relationship

Non-directional: Does not state the direction of the difference or realtionship

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2
Q

When should each type of Hypothesis be used

A

Directional: When previous research or findings suggests a particular outcome.

Non-directional: When no theory or previous research or findings from earlier studies were contradictory.

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3
Q

Define variables and the difference between IV and DV

A

Any ‘thing’ that can change or vary within an investigation. Variables are generally used in experiments to determine if changes in one thing result in changes to another

IV: Some aspect that is manipulated by the researcher or changes naturally so the effect on the DV can be measured

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

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4
Q

Define experimental method and operationalisation

A

Experimental method: Involves the manipulation of an IV to measure the effect on the DV. May be Lab, field, natural or quasi.

Operationalisation: Clearly defining variables in terms of how they can be measured

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5
Q

Define both extraneous and confounding variables

A

EV: Any variable other than the IV that may affect the DV if it is not controlled.

CV: A kind of EV but the key features is that a CV varies systematically with the IV. Therefore we can’t tell if any changes in the DV are due to the IV or the CV

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6
Q

Define demand characteristics and investigator effects

A

DC: Any cue from the researcher or research situation that may be interpreted by participants revealing the purpose and possibly changing their behaviour

IE: Any effect of the investigator’s behaviour in the research outcome (the DV). Eg - The design of the study to the selection of and interaction with participants

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7
Q

Define randomisation and standardisation

A

Randomisation: The use of chance methods to control for the effects of bias when designing materials and deciding the order of experimental conditions.

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

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8
Q

Define independent measures vs repeated measures

A

Independent: Participants are allocated to different groups where each group represents one experimental condition

Repeated: All participants take part in all conditions

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9
Q

Explain matched pairs

A

Where pairs of participants are first matched on some variable(s) that may affect the DV

Then one member of the pair is assigned to condition A and the other condition B

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10
Q

Define random allocation and counterbalancing

A

Random allocation: 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.

Counterbalancing: An attempt to control for the effects of order in a repeated measures design; half the participants experience the conditions in one order and the other half in the opposite order.

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11
Q

What is a pilot study

A

A small scale version of an investigation that takes place before the real investigation is conducted. The aim is to check that procedures, materials, measuring scales etc work

The aim is also to allow the researcher to make changes or modifications if needed.

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12
Q

Define naturalistic observation vs controlled observations

A

Naturalistic: Watching and recording behaviour in the setting within which it would normally occur

Controlled: Watching and recording behaviour within a structured environment

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13
Q

Define covert vs overt observation

A

Covert: Participants behaviours is watched and recorded without their knowledge or consent

Overt: Participants behaviours is watched and recorded without their knowledge and consent

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14
Q

Define participant vs non-participant observation

A

Participant: The researcher becomes a member of the group whose behaviour he/she is watching and recording

Non-participant: The researcher remains outside of the group whose behaviour he/she is watching and recording

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15
Q

What are behavioural categories

A

When a target behaviour is broken up into components that are observable and measurable (operationalisation)

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16
Q

Define event and time sampling

A

Event: A target behaviour or event is first established then the researcher records this event every time it occurs.

Time: A target individual or group is first established then the researcher records their behaviour in a fixed time frame, say every two seconds

17
Q

Define questionnaire and interview

A

Questionnaire: A set of written questions used to assess a persons thoughts and / or experiences

Interview: A live eon counter where one person asks a set of questions to assess an interviewees thoughts and / or experiences

18
Q

List the 4 types of experiment

A

Lab: In a controlled environment where the researcher manipulates the IV and measures the DV

Field: Takes place in a natural setting where the researcher manipulates the IV and records the effects on the DV

Natural: Where the change in the IV is not by the researcher but would have happened without them. The researcher records the effects on on a DV they decided on.

Quasi: A study that is almost an experiment but lacks key ingredients. The IV has not been determined by anyone, the variables simply exist such as being old or young.

19
Q

List and define the 3 types of interview

A

Structured: Interviews made up of pre-determined set question that are asked in a fixed order

Unstructrued: There are no set questions just a general aim that a certain topic will be discussed and the conversation is free-flowing. The interviewee is encouraged to expand and elaborate answers

Semi-structured: This falls between the other two as there is a list of questions in advance but the interviewers are also free to ask follow-up questions on answers

20
Q

Define open v closed questions

A

Open: Questions for which there is no fixed choice of response determined by the question setter.

Closed: Questions for which there is a fixed choice of response determined by the question setter.

21
Q

List and define the 3 types of question (scales / options)

A

Likert scales: A scale in which the respondent indicates their agreement with a statement using a scale of usually five points (E.g - Strongly agree to strongly disagree)

Rating scales: Gets respondents to identify a value that represents their strength of feeling about a particular topic

Fixed-choice option: Includes a lost of possible options and respondents are required to indicate those that apply to them

22
Q

Define correlation and co-variables

A

Correlation: A mathematical technique in which a researcher investigates an association between two variables called co-variables

Co-variables: The variables investigated within a correlation. They are not referred to as the IV & DV as correlations investigates the association between variables rather then cause & effect.

23
Q

List and define the 3 types of correlations

A

Positive correlation: As one co-variable increases so does the other

Negative correlation: As one co-variable increases the other decreases

Zero correlation: There is no relationship between the co-variables

24
Q

What is peer review

A

The assessment of scientific work by others who are specialists in the same field to ensure that any research intended for publication is of high quality.

25
What are the 3 main aims of peer review
1. To allocate research funding - may be co-ordinated by government-run fundingorganisations 2. To validate the quality and relevance of research - all elemetns of research are assessed for quality and accuracy 3. To suggest amendments or improvements - reviewers may suggest minor revisions of the work and thereby improve the report.
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What are 3 evaluations of peer review
Anonymity - may use this to criticise as they are competing for the same funding Publication bias - a natural tendency for editors to publish headline gabbing findings meaning research which doesn’t count as this is ignored Burying groundbreaking research - Established scientists tend to be critical of research that contradicts their own view and favourable of what matches so findings that chime with current opinions are likely to be passed.
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What are 5 types of samples
Random sample: All members of the target population have an equal chance of being selected Systematic sample: When every nth member of the target population is selected, a sampling frame is produced, a list of people in the target population organised into a specific order before a sampling system is nominated. Stratified sample: A sophisticated form of sampling in which the composition of the sample reflects the proportions of people in certain subgroups (strata) within the target population or the wider population. Opportunity sample: Simply selecting anyone who happens to be willing and available, asking whoever is around at the time. Volunteer sample: involves participants selecting themselves to be part of the sample.
29
Evaluate random and opportunity sample
Random + Unbiased as CVs and EVs should be equally divided between the different groups enhancing internal validity - Is difficult and time-consuming to conduct and you still may end up a unrepresentative sample. Opportunity + Convenient and much less costly in terms of time and money - Is unrepresentative as it draws on a specific area and researcher bias as to who they avoid
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Evaluate systematic and stratified samples
Systematic + Is objective as once the system for selection has been established the researcher has no influence over who is chosen - Is time-consuming and in the end participants may refuse to take part, resulting in a volunteer sample Stratified + Produces a representative sample because it is designed to accurately reflect the composition of the population - The identified strata cannot reflect all the ways that people are different so complete representation of the target population is not possible
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Evaluate volunteer sample
+ Collecting this sample is easy as it requires minimal input from the researcher and so is less time consuming than other forms of sampling and participants may be more engaged - Asking for volunteers may attract a certain ‘profile’ of person that is one who is curious and more likely to please the researcher which then might affect how far findings can be generalised.
32
Define ethical issues and the 4 types
These arise when a conflict exists between the rights of participants in research studies and the goals of research to produce authentic, valid and worthwhile data. - Informed consent: Making participants aware of the aims of the research, the procedures and their rights including the right to withdraw and what their data will be used for. - Deception: Deliberately misleading or withholding information from participants at any stage of the investigation. - Protection from harm: Participants should not be placed at any more risk than they would be in their daily lives (physical and physiological) - Privacy and confidentiality; participants should have the right to control information about themselves
33
Define the BPS code of ethics
A quasi-legal document produced by the British psychological society (BPS) that instructs psychologists in the UK about what behaviour is and is not acceptable when dealing with participants. The code is built around four major principles; respect, competence, responsibility and integrity.
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