click below
click below
Normal Size Small Size show me how
Research Methods
All key terms from Research Methods
Term | Definition |
---|---|
Levels of the independent variable | The different conditions in the experiment |
Objectivity | Remaining impartial and not biased |
Replicability | When an experiment or investigation can be repeated multiple times (and by others) with the same findings |
Empiricism | Gathering actual evidence for the theory |
Falsifiability | Being able to give a scenario in which the theory could be proved wrong |
Hypothesis testing | Creating a clear testable statement and then comparing it to experiment |
Theory construction | Creating a general explanation or model for a specific phenomenon which can be tested |
Paradigm | A set of assumptions shared by the majority of people in a scientific field |
Paradigm shift | A significant change to the agreed upon set of assumptions, such as the finding that the Earth orbits the sun rather than the other way around |
Quantitative Data | Information in the form of numbers |
Qualitative Data | Information which is not in the form of numbers; e.g. in text |
Quasi experiment | A study involving an independent variable which has already occurred, where the IV is a characteristic |
Laboratory Experiment | A controlled study carried out in an artificial setting |
Field Experiment | A controlled study carried out in a natural setting |
Natural Experiment | A study involving an independent variable which has already occurred, where the IV is an experience |
Correlational Analysis | A test of the relationship between two continuous variables, usually plotted on a scattergram |
Observation | Research which involves directly recording the behaviour of participants (can be natural/controlled, participant/non-participant, and overt/covert) |
Self-Report Techniques | Research methods whereby the participants provide the information about themselves |
Questionnaire | Self-report method where participants are given a written set of questions to answer |
Open question | Where the person responding has freedom over what to say - their choices are not restricted |
Closed question | Forced-choice questions with limited number of options |
Interview | Self-report method where participants are usually asked questions face:face |
Structured interview | Interviews which follow a set list of questions, with no follow-up questions |
Unstructured interview | Interviews with a theme and topic, but no set questions that allow for elaboration and discussion |
Case Study | An in-depth analysis of one person or a small group of people |
Aims | What the research intends to discover |
Hypothesis | A testable statement - you must operationalise the variables within it |
Directional Hypothesis | AKA 'one-tailed': A testable statement which predicts that there will be a difference/correlation and can state the direction |
Non Directional Hypothesis | AKA 'two-tailed': A testable statement which predicts that there will be a difference/correlation but does not state the direction |
Null hypothesis | A testable statement which predicts that there will be no difference/correlation |
Independent Groups | Experimental design where participants take part in only one level of the IV |
Repeated Measures | Experimental design where participants take part in all levels of the IV |
Matched Pairs | Experimental design where participants take part in only one level of the IV, but are paired with another participant with similar characteristics before being separated into their conditions |
Behavioural Categories | Coding units used in an observation or content analysis - what the researchers are going to tally |
Operationalisation | Making variables specific and measurable |
Independent Variable (IV) | The difference between conditions (what you change) |
Dependant Variable (DV) | What the researcher measures |
Pilot Study | A small-scale test carried out before the main study to identify and solve any issues or to make specific decisions |
Extraneous Variables (EV) | Something has an impact on the DV, which is not the IV |
Confounding Variables | A third variable which explains a correlation - it changes proportionally with the two other variables |
Control Variable | A factor that researchers ensure is the same in all conditions to make the study replicable and to avoid extraneous variables |
Participant Variables | Differences between the people taking part in the study which act as Extraneous variables |
Situational Variables | Differences between the environments of each condition in the study which act as Extraneous variables |
Social Desirability Bias | Where participants change their behaviour or answer to make themselves look better |
Reliability | How consistent the study is |
Inter-rater reliability | The extent to which different assessors would score the participants in the same way |
Test-retest reliability | The extent to which the study could be repeated in the same way with the same results |
Internal Validity | The extent to which the study measures what it claims to measure |
External Validity | The extent to which the findings can be generalised beyond the study |
Population Validity | The extent to which the sample can be generalised to the target population |
Ecological Validity | The extent to which the study can be generalised to realistic settings |
Temporal/Historical Validity | The extent to which the study can be generalised to modern times |
Concurrent validity | Whether or not the measure of the IV agrees with a more established measure - e.g. does a person's score correlate with their score on a widely-accepted valid test? |
Face validity | Whether the measure of the IV seems accurate - usually volunteers are asked to rate its internal validity |
BPS Code of Ethics | The official guide to ethical issues in Psychology |
Deception | Ethical issue - Lying to participants |
Informed Consent | Ethical issue - getting permission from your participants to take part |
Protection of Participants | Ethical issue - must ensure participants suffer no damage from the study |
Right to Withdraw | Ethical issue - participants are allowed to leave at any point |
Debrief | Ethical issue - participants must be told the aim and details of the study at the end |
Sampling Techniques | Ways in which researchers gather participants |
Target Population | The group of people who need to be represented by a good sample |
Random Sample | Sampling method - each person has an equal chance of taking part |
Opportunity Sample | Sampling method - the people who are in the right place at the right time |
Stratified Sample | Sampling method - the demographics of the population are reflected in the sample |
Systematic Sample | Sampling method - list the group and pick every nth person |
Volunteer Sample | Sampling method - place an advertisement and use the people who select themselves |
Demand Characteristics | Changes in the participant behaviour due to taking part in the study |
Investigator Effects | When the researcher has an impact on the outcome |
Counterbalancing | A method for reducing order effects by ensuring different groups participate in conditions in different orders |
Order effects | Taking part in one condition affects performance in another condition |
Practice effects | When you get better in the second condition due to taking part in the first |
Fatigue effects | When you get worse in the second condition due to taking part in the first |
Random Allocation | Reducing bias by placing participants in conditions indiscriminately - e.g. by picking names out of a hat |
Standardisation | Ensuring that the controlled variables are the same in each condition of an experiment - e.g. giving recorded or typed instructions to participants |
Scattergram | A method of representing correlational data in a visual form |
Histogram | A method of representing a test of difference where the IV is on a continuous scale (e.g. height) |
Bar chart | A method of representing a test of difference where the IV is NOT on a continuous scale (e.g. With music/Without music) |
Measures of Central Tendency | Averages |
Mean | Adding up all scores and dividing by how many scores there are |
Median | The middle value |
Mode | The most common value |
Measures of Dispersion | Ways of seeing how spread out the data is |
Range | The highest value - the lowest value |
Standard Deviation | A measure of how spread out the data are, by finding the average difference from the mean |
Positive Correlation | As one variable increases, so does the other |
Negative Correlation | As one variable increases, the other decreases |
Correlation Coefficients | A measure of the relationship between variables, ranging from -1 to 1. It is the calculated value of a Spearman's rho or Pearson's r test |
Content Analysis | A method of turning qualitative data into quantitative data by establishing coding units and tallying their occurrence |
Thematic analysis | When a researcher reviews qualitative data and records recurring patterns or motifs - they do not tally their occurrences however |
Peer review | A scientific process whereby other scientists check work before it is published |
Normal distribution | When the mean, median and mode are the same |
Positively skewed distribution | When the mean is higher than the median and the mode |
Negatively skewed distribution | When the mean is lower than the median and the mode |
Abstract | Appears at the beginning of a scientific journal. Summarises the entire study, including aim, method, results and conclusions |
Introduction | Scientific report section which explains key terms and previous research to justify the current study |
Method | Scientific report section which outlines the participants, materials and procedure |
Results | Scientific report section which outlines the raw data from the study, with some descriptive and inferential statistical analysis |
Discussion | Scientific report section which includes the conclusions and some evaluation of the research, with recommendations for future research |
References | List of sources used in a scientific report |
Descriptive statistics | Ways of analysing data that give more information about patterns in the data, e.g. averages, percentages, ratios etc. |
Level of measurement | Whether the DV is nominal, ordinal or interval |
Nominal data | Category data without a numeric value (e.g. hair colour) |
Ordinal data | Level of measurement where there is a scale containing unequal gaps (data may be ranked, subjective or otherwise not equal in gap size) |
Interval data | Level of measurement where there is a scale containing equal gaps (e.g. height in cm) |
Inferential statistics | A way of analysing data to determine the likelihood that any difference/correlation is statistically significant |
Statistical significance | Suggests that results are not due to chance - or it is extremely unlikely they are |
p Value | The probability that results were due to a chance result. In psychology we accept 5% (or 0.05) |
Type I error | A false positive - When the alternate hypothesis is accepted incorrectly and the null hypothesis rejected incorrectly |
Type II error | A false negative - When the alternate hypothesis is rejected incorrectly and the null hypothesis is accepted incorrectly |
Calculated value | The result of an inferential statistical test |
Critical value | The number in a data table that you must compare with your calculated value |
Related design | An experimental design where the participants in one condition are similar to those in another - either repeated measures or matched pairs |
Unrelated design | Independent groups design - the participants in one condition are not similar or related to those in the other condition |
Test of difference | A comparison between conditions |
Test of association | An investigation into a correlation or relationship between co-variables |