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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 |