Key science skills - psychology

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68 Terms

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aim

the purpose of the study - it explains what you intend to investigate

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variable

A condition or component of an experiment that can be measured or manipulated.

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independant variable (IV)

The independent variable (IV) cna be thought of as that which is manipulated by the experimenter

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Dependant variable (DV)

The dependent variable (DV) can be thought of as that which is measured to test the effect of the independent variable.

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research variables

experiemental group, control group

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Less IV’s in a study generally means

more conclusive results

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does multiple dependant variables impact the validity of a given study?

no

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hypothesis

a testable prediction about the relationship between variables (IV and DV) that includes the population and the strength and direction of the relationship.

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Extraneous variable

any variable (that is not the IV or the DV) that can potentially affect the results of the study.

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between- subjects design

An experimental design in which individuals are divided into different groups and compete only one experiment condition (exposes each participant to only one experimental condition or the other)

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Experiement

An experiement or controlled experiement, is when a cause and effect relationship is measured, by testing the effect of the IV on the DV.

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Within- subjects design

an experiemental design in which participants complete every experiemental condition in order to help mitigate EV’s affecting outcomes.

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Mixed method design

A procedure for collecting and analysing quantitative and qualitative research in a single study.

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Case studies

An in-depth or detailed study on a particular activity, behaviour, event or problem. may be historical, hypothetical or current. (not an experiement)

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observational studies

observational studies or fieldwork , are a methodology that involves investigating through observing and interacting with an environment in a naturalistic setting ( no quantitative data)

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correlation studies

look at the relationship between two variables

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literature reviews

use secondary data to answer a question or provides research for comparison before conducting primary data investigations.

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modelling / simulations

are small or large scale representation of an object to enable replication, explanation, or investigation.

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product, process or system development.

is the design and development of something to meet a human need, which may involve technological application.

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classification and identification

means to organise things by putting them into or constructing sets.

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primary data

data sourced by the researcher themselves

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secondary data

data which is collected by other sources

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population

group of people who are the focus of the study and from which rthe sample is drawn

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sample

a subset of the research population who participate in a study- a sample must be characteristically representative of the population.

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types of sampling

convenience sampling, random sampling, stratified sampling

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convenience sampling

selected in the quickest/ easiest way possible - not representative of the population

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random sampling

each member of the population has an equal chance of being selected - free from bias - may not be representative of the population.

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stratified sampling

breaks population into subgroups (strata) and selects participants from each group in the same proportion they appear within the population- more representative of the population - more time consuming

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control group

not exposed to any experimental conditions (IV), they are used as the basis of comparison.

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experimental group

is exposed to experiemental conditions (IV)

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controlled variables

variables held constant within every condition of an experiement.

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extraneous variiables (EV)

are that which are not controlled in an experiment, unwanted effect on the results.

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types of errors

personal errors, systematic errors, random errors

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personal errors

can occur through the researcher, such as the experimenter effect (mistakes, miscalculations, observer error)

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random errors

can account for variations in results, such as extraneous variables (errors in measurement of results)

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systematic errors

can occur as in the case of confounding variables. (errors in measurements are all consistently shifted from the true value. (predictable))

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qualitative data

descriptions, opinions, arguments etc. Infinite range of responses are possible.

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quantitative data

numerical in nature, and categorical (obtained through questions with quantifiable answers.) Finite range of responses.

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subjective data

relies on assumptions or personal experience. Eg: mood (hard to compare)

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objective data

can be directly observed or measured, eg. speed, score (easy to compare)

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descriptive statistics

mathematic calculations that describe, organise and summerise the data

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measures of variability

range is the difference between the highest and lowest scores in a distribution.

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standard deviation

measures the spread of scores around the mean. The higher the standard deviation, the greater the range of values within the sample.

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frequency distribution tables

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errors

personal errors, systematic errors, random errors.

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personal erros

can pertain to miscalculations, observer bias, mistakes. An example of these include experiementer effects.

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systematic Errors

Can be found if results differ consistently from the true value. This can be a result of inaccuracy in instruments readings or maybe even an impact of a confounding variable.

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random errors

can occur for a variety of reasons such as extraneous variables where environmental factors, personal characteristics or non-standardised procedures may results in errors that are not attributed to the impact of the IV.

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validity

refers to the extent to which an assessment tool actually measures what it is designed to measure. Eg. Does this test measure IQ appropriately.

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repeatability

If the research is repeated with same people, does it yield the same results?

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reproducibility

Do the results have reproducability? Can they be reproduced under different conditions and yield similar results?

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internal validity

are the instruments/tools effectively assessing the content/theory we beleive we are assessing?

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external validity

is the study done, and reported, in such a way that the findings can be applied to the wider population?

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reliability

refers to the extent to which the assessment tool measures what it is supposed to measure consistently. Eg. Do i get the same IQ score in each test?

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ethical understanding

considers the implications of one’s own research.

Applies integrity when considering, recording and reporting outcomes of an experiementation.

recognises the importance of ethical values from a social, political and legal framework.

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ethical concepts

beneficence, non-maleficence, integrity, justice, respect.

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Ethical guidelines

informed consent, withdrawal rights, debriefing, deception, confidentiality, voluntary participation

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beneficence

The consideration of the benefits or gains in relation to possible risk.

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Non- maleficence

The idea that any harm should not be proportionate to the gains made from the research (do not harm)

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Integrity

The commitment to search for knowledge, and then honestly report information and findings.

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justice

distribution of fair access to the benefits from resarch to everyone

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respect

The beleif that everyone has value regardless of beliefs and has the right to make their own decisions.

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voluntary participation

individuals freely choose to participate in a study, without any coercion or pressure

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informed consent

participants must understand the nature and purpose of the study and any risks. they sign their consent.

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withdrawal rights

participants are allowed to leave the experiment at any time, or remove their results from the following research.

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debriefing

participants are informed of the research aims, results and conclusions and are provided with psychological support following research.

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decpetion

praticipants must know the purpose of a study, unless it may impact their behaviour in research. If deception is used, thorough debreif is required.

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confidentiality

participants have the right to privacy and protection, and that security of results is to be maintained.