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Research Methods

A level Psychology

QuestionAnswer
Aim The researcher’s area of interest – what they are looking at (e.g. to investigate helping behaviour).
Bar chart A graph that shows the data in the form of categories (e.g. behaviours observed) that the researcher wishes to compare.
Behavioural categories Key behaviours or, collections of behaviour, that the researcher conducting the observation will pay attention to and record
Case study In-depth investigation of a single person, group or event, where data are gathered from a variety of sources and by using several different methods (e.g. observations & interviews).
Closed questions Questions where there are fixed choices of responses e.g. yes/no. They generate quantitative data
Co-variables The variables investigated in a correlation
Concurrent validity Comparing a new test with another test of the same thing to see if they produce similar results. If they do then the new test has concurrent validity
Confidentiality Unless agreed beforehand, participants have the right to expect that all data collected during a research study will remain confidential and anonymous.
Confounding variable An extraneous variable that varies systematically with the IV so we cannot be sure of the true source of the change to the DV
Content analysis Technique used to analyse qualitative data which involves coding the written data into categories – converting qualitative data into quantitative data.
Control group A group that is treated normally and gives us a measure of how people behave when they are not exposed to the experimental treatment (e.g. allowed to sleep normally).
Controlled observation An observation study where the researchers control some variables - often takes place in laboratory setting
Correlational analysis A mathematical technique where the researcher looks to see whether scores for two covariables are related
Counterbalancing A way of trying to control for order effects in a repeated measures design, e.g. half the participants do condition A followed by B and the other half do B followed by A
Covert observation Also known as an undisclosed observation as the participants do not know their behaviour is being observed
Critical value The value that a test statistic must reach in order for the hypothesis to be accepted.
Debriefing After completing the research, the true aim is revealed to the participant. Aim of debriefing = to return the person to the state s/he was in before they took part.
Deception Involves misleading participants about the purpose of s study.
Demand characteristics Occur when participants try to make sense of the research situation they are in and try to guess the purpose of the research or try to present themselves in a good way.
Dependent variable The variable that is measured to tell you the outcome.
Descriptive statistics Analysis of data that helps describe, show or summarize data in a meaningful way
Directional hypothesis A one-tailed hypothesis that states the direction of the difference or relationship (e.g. boys are more helpful than girls).
Dispersion measure A dispersion measure shows how a set of data is spread out, examples are the range and the standard deviation
Double blind control Participants are not told the true purpose of the research and the experimenter is also blind to at least some aspects of the research design.
Ecological validity The extent to which the findings of a research study are able to be generalized to real-life settings
Ethical guidelines These are provided by the BPS - they are the ‘rules’ by which all psychologists should operate, including those carrying out research.
Ethical issues There are 3 main ethical issues that occur in psychological research – deception, lack of informed consent and lack of protection of participants.
Evaluation apprehension Participants’ behaviour is distorted as they fear being judged by observers
Event sampling A target behaviour is identified and the observer records it every time it occurs
Experimental group The group that received the experimental treatment (e.g. sleep deprivation)
External validity Whether it is possible to generalise the results beyond the experimental setting.
Extraneous variable Variables that if not controlled may affect the DV and provide a false impression than an IV has produced changes when it hasn’t.
Face validity Simple way of assessing whether a test measures what it claims to measure which is concerned with face value – e.g. does an IQ test look like it tests intelligence.
Field experiment An experiment that takes place in a natural setting where the experimenter manipulates the IV and measures the DV
Histogram A graph that is used for continuous data (e.g. test scores). There should be no space between the bars, because the data is continuous.
Hypothesis This is a formal statement or prediction of what the researcher expects to find. It needs to be testable.
Independent groups design An experimental design where each participants only takes part in one condition of the IV
Independent variable The variable that the experimenter manipulates (changes).
Inferential statistics Inferential statistics are ways of analyzing data using statistical tests that allow the researcher to make conclusions about whether a hypothesis was supported by the results.
Informed consent Psychologists should ensure that all participants are helped to understand fully all aspects of the research before they agree (give consent) to take part
Inter-observer reliability The extent to which two or more observers are observing and recording behaviour in the same way
Internal validity In relation to experiments, whether the results were due to the manipulation of the IV rather than other factors such as extraneous variables or demand characteristics.
Interval level data Data measured in fixed units with equal distance between points on the scale
Investigator effects These result from the effects of a researcher’s behaviour and characteristics on an investigation.
Laboratory experiment An experiment that takes place in a controlled environment where the experimenter manipulates the IV and measures the DV
Matched pairs design An experimental design where pairs of participants are matched on important characteristics and one member allocated to each condition of the IV
Mean Measure of central tendency calculated by adding all the scores in a set of data together and dividing by the total number of scores
Measures of central tendency A measurement of data that indicates where the middle of the information lies e.g. mean, median or mode
Median Measure of central tendency calculated by arranging scores in a set of data from lowest to highest and finding the middle score
Meta-analysis A technique where rather than conducting new research with participants, the researchers examine the results of several studies that have already been conducted
Mode Measure of central tendency which is the most frequently occurring score in a set of data
Natural experiment An experiment where the change in the IV already exists rather than being manipulated by the experimenter
Naturalistic observation An observation study conducted in the environment where the behaviour would normally occur
Negative correlation A relationship exists between two covariables where as one increases, the other decreases
Nominal level data Frequency count data that consists of the number of participants falling into categories. (e.g. 7 people passed their driving test first time, 6 didn’t).
Non-directional hypothesis A two-tailed hypothesis that does not predict the direction of the difference or relationship (e.g. girls and boys are different in terms of helpfulness).
Normal distribution An arrangement of a data that is symmetrical and forms a bell shaped pattern where the mean, median and mode all fall in the centre at the highest peak
Observed value The value that you have obtained from conducting your statistical test
Observer bias Occurs when the observers know the aims of the study study or the hypotheses and allow this knowledge to influence their observations
Open questions Questions where there is no fixed response and participants can give any answer they like. They generate qualitative data.
Operationalising variables This means clearly describing the variables (IV and DV) in terms of how they will be manipulated (IV) or measured (DV).
Opportunity sample A sampling technique where participants are chosen because they are easily available
Order effects Order effects can occur in a repeated measures design and refers to how the positioning of tasks influences the outcome e.g. practice effect or boredom effect on second task
Ordinal level data Data that is capable of being out into rank order (e.g. places in a beauty contest, or ratings for attractiveness).
Overt observation Also known as a disclosed observation as the participants given their permission for their behaviour to be observed
Participant observation Observation study where the researcher actually joins the group or takes part in the situation they are observing.
Peer review Before going to publication, a research report is sent other psychologists who are knowledgeable in the research topic for them to review the study, and check for any problems
Pilot study A small scale study conducted to ensure the method will work according to plan. If it doesn’t then amendments can be made.
Positive correlation A relationship exists between two covariables where as one increases, so does the other
Presumptive consent Asking a group of people from the same target population as the sample whether they would agree to take part in such a study, if yes then presume the sample would
Primary data Information that the researcher has collected him/herself for a specific purpose e.g. data from an experiment or observation
Prior general consent Before participants are recruited they are asked whether they are prepared to take part in research where they might be deceived about the true purpose
Probability How likely something is to happen – can be expressed as a number (0.5) or a percentage (50% change of tossing coin and getting a head)
Protection of participants Participants should be protected from physical or mental health, including stress - risk of harm must be no greater than that to which they are exposed in everyday life
Qualitative data Descriptive information that is expressed in words
Quantitative data Information that can be measured and written down with numbers.
Quasi experiment An experiment often conducted in controlled conditions where the IV simply exists so there can be no random allocation to the conditions
Questionnaire A set of written questions that participants fill in themselves
Random sampling A sampling technique where everyone in the target population has an equal chance of being selected
Randomisation Refers to the practice of using chance methods (e.g. flipping a coin' to allocate participants to the conditions of an investigation
Range The distance between the lowest and the highest value in a set of scores.
Range A measure of dispersion which involves subtracting the lowest score from the highest score in a set of data
Reliability Whether something is consistent. In the case of a study, whether it is replicable.
Repeated measures design An experimental design where each participants takes part in both/all conditions of the IV
Representative sample A sample that that closely matched the target population as a whole in terms of key variables and characteristics
Retrospective consent Once the true nature of the research has been revealed, participants should be given the right to withdraw their data if they are not happy.
Right to withdraw Participants should be aware that they can leave the study at any time, even if they have been paid to take part.
Sample A group of people that are drawn from the target population to take part in a research investigation
Scattergram Used to plot correlations where each pair of values is plotted against each other to see if there is a relationship between them.
Secondary data Information that someone else has collected e.g. the work of other psychologists or government statistics
Semi-structured interview Interview that has some pre-determined questions, but the interviewer can develop others in response to answers given by the participant
Sign test A statistical test used to analyse the direction of differences of scores between the same or matched pairs of subjects under two experimental conditions
Significance If the result of a statistical test is significant it is highly unlikely to have occurred by chance
Single-blind control Participants are not told the true purpose of the research
Skewed distribution An arrangement of data that is not symmetrical as data is clustered ro one end of the distribution
Social desirability bias Participants’ behaviour is distorted as they modify this in order to be seen in a positive light.
Standard deviation A measure of the average spread of scores around the mean. The greater the standard deviation the more spread out the scores are. .
Standardised instructions The instructions given to each participant are kept identical – to help prevent experimenter bias.
Standardised procedures In every step of the research all the participants are treated in exactly the same way and so all have the same experience.
Stratified sample A sampling technique where groups of participants are selected in proportion to their frequency in the target population
Structured interview Interview where the questions are fixed and the interviewer reads them out and records the responses
Structured observation An observation study using predetermined coding scheme to record the participants' behaviour
Systematic sample A sampling technique where every nth person in a list of the target population is selected
Target population The group that the researchers draws the sample from and wants to be able to generalise the findings to
Temporal validity Refers to how likely it is that the time period when a study was conducted has influenced the findings and whether they can be generalised to other periods in time
Test-retest reliability Involves presenting the same participants with the same test or questionnaire on two separate occasions and seeing whether there is a positive correlation between the two
Thematic analysis A method for analysing qualitative data which involves identifying, analysing and reporting patterns within the data
Time sampling A way of sampling the behaviour that is being observed by recording what happens in a series of fixed time intervals.
Type 1 error Is a false positive. It is where you accept the alternative/experimental hypothesis when it is false
Type 2 error Is a false negative. It is where you accept the null hypothesis when it is false
Unstructured interview Also know as a clinical interview, there are no fixed questions just general aims and it is more like a conversation
Unstructured observation Observation where there is no checklist so every behaviour seen is written down in an much detail as possible
Validity Whether something is true – measures what it sets out to measure.
Volunteer sample A sampling technique where participants put themselves forward to take part in research, often by answering an advertisement
Created by: Sprockles
 

 



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