methods

    Master this deck with 67 terms through effective study methods.

    Imported from Quizlet

    Created by @speed

    Type of experiment where the independent variable is an event that the researcher does not manipulate

    Natural experiment

    Type of experiment taking place under controlled conditions

    Laboratory experiment

    Type of experiment where the independent variable is a group difference that the researcher cannot manipulate

    Quasi- experiment

    Type of experiment taking place where the behaviour usually occurs under reasonably controlled conditions

    Field experiment

    Type of observation taking place where the behaviour usually occurs and without researcher intervention

    Naturalistic

    Type of observation in which participants know they are being observed

    Overt

    Type of observation in which researcher joins the group being studied

    Participant

    Type of observation taking place under lab- like conditions

    Controlled

    Type of observation in which participants do not know they are being observed

    Covert

    Questionnaires and interviews are both types of?

    Self- reports

    Type of questionnaire / interview in which all questions are the same for everyone

    Structured

    Type of question giving participant a set of options to choose from for their response

    Closed

    Type of interview in which questions are different for everyone

    Unstructured

    Type of question giving participant opportunity to answer in their own words for their response

    Open

    Type of study involving analysis of the relationship between two covariables

    Correlational study

    Difference between experiments and correlations

    Experiment involves manipulation / change in an independent variable (and measurement of a dependent variable) whereas Correlations involve no manipulation, just measurement

    Difference between aims and hypotheses

    Aims: purpose of the study, theory being tested whereas Hypothesis: prediction of results

    Difference between population and sample

    Population: who the research is about whereas Sample; those actually researched

    Difference between directional and non- directional hypotheses

    Directional predicts direction of results i.e., specifies which condition will score higher / whether correlation will be positive or negative whereas Non- directional just predicts a difference / correlation, with no specification of which condition will score higher / whether correlation will be positive or negative

    Meaning of the term generalisation in the context of sampling

    Ability to say that what is true of the sample is also true of the population

    Meaning of the term bias in the context of sampling

    Sample systematically under / over represents certain types of people, reducing generalisability

    Sampling method involving recruiting participants via advertisements that they choose to reply to

    Volunteer

    Sampling method involving choosing every nth person from a list

    Systematic

    Sampling method involving everyone in the sampling population having an equal chance of being picked for the sample

    Random

    Sampling method involving deliberately choosing participants to make the sample representative of specific groups

    Stratified

    Sampling method involving using whoever is available to the researcher

    Opportunity

    Type of study performed before main study to identify and deal with flaws in the procedure

    Pilot study

    Experimental design in which participants take part in both conditions

    Repeated measures

    Experimental design in which for each participant, there is someone else in the other condition who is similar to them

    Matched pairs

    Most commonly used experimental design in which participants take part in only one condition

    Independent groups

    Variable that is manipulated in an experiment

    Independent variable

    Variable that is measured in an experiment

    Dependent variable

    Variables that should be controlled in an experiment

    Extraneous variables

    Type of extraneous variable that does have an effect on the dependent variable

    Confounding variable

    Control for individual differences in an independent groups experiment

    Random allocation

    Most common control for order effects in a repeated measures experiment

    Counterbalancing

    Control for order effects in which order of presentation of items is unpredictable and different for each participant

    Randomisation

    Process of making everything the same in a study

    Standardisation

    Which experimental design can involve the use of randomisation?

    Repeated measures

    Defining a variable in such a way that it can be measured

    Operationalisation

    Features of the study that a participant thinks gives away the aim of the study

    Demand characteristics

    Impact of the researcher on the participant / results

    Investigator effects

    Organisation responsible for code of ethics governing research in this country

    British Psychological Society

    Ethical issue / guideline concerning deliberate misleading of participants

    Deception

    Ethical issue / guideline concerning lack of full knowledge of procedure / aim of study

    Informed consent

    Ethical issue / guideline concerning more stress than would occur in everyday life

    Protection

    Ethical issue / guideline concerning a right all participants have before, during and after the study

    Withdrawal

    Two types of consent that deal with the issue of informed consent while avoiding demand characteristics

    Prior general Presumptive

    Feature of the scientific process involving scrutiny of research by other psychologists working for academic journals

    Peer review

    Type of data in numerical form

    Quantitative

    Type of data in non- numerical form, e.g., words

    Qualitative

    Type of data collected directly by the researcher for their own purposes

    Primary

    Type of data collected by the researcher from data collected by others

    Secondary

    Type of study involving bringing together the results from a large number of studies and merging the results

    Meta- analysis

    Measure of central tendency involving adding up all scores and dividing by the number of scores

    Mean

    Measure of central tendency involving identifying the middle score of all scores in order

    Median

    Measure of central tendency involving identifying the most common score or category

    Mode

    Measure of dispersion calculated by taking away the lowest score from the highest score

    Range

    Measure of dispersion that indicates the average difference of scores from the mean

    Standard deviation

    Type of correlation when those who score high on one variable also score higher on the other variable

    Positive

    Type of correlation when those who score high on one variable score lower on the other variable

    Negative

    Type of correlation when the relationship between scores on the two variables is random

    No correlation

    Type of distribution when the scores are symmetrical around the mean

    Normal

    Type of distribution when there is a tail of high scores that pull the mean upwards

    Positively skewed

    Type of distribution when there is a tail of low scores that pull the mean downwards

    Negatively skewed

    3 things you need to know to identify the critical value in a table

    Sample size Level of significance used Whether test is 1 or 2 tailed

    How you identify the calculated value when using the Sign test

    For the two conditions, count (i) how many pps scored higher and (ii) how many pps scored lower (usually in the 2nd condition) Calculated value is the smaller of these numbers