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Independent Variable (IV)
The variable that is manipulated by the researcher to observe its effect on the dependent variable.
Dependent Variable (DV)
The variable that is measured to assess the effect of the independent variable.
Operationalization
Defining variables in practical, measurable terms.
Hypothesis
A testable prediction about the relationship between two or more variables.
Null Hypothesis
A prediction that there is no effect or no relationship between variables.
Experimental Design
The way in which participants are allocated to conditions in an experiment (e.g., independent measures, repeated measures, matched pairs).
Control Group
The group in an experiment that does not receive the treatment; used for comparison.
Confounding Variable
An external factor that may affect the dependent variable and confuse the results.
Random Allocation
Assigning participants to experimental groups randomly to reduce bias.
Sampling
The process of selecting participants from the population.
Representative Sample
A sample that accurately reflects the population from which it is drawn.
Ethics
Guidelines for conducting research responsibly and respectfully, including informed consent, confidentiality, and the right to withdraw.
Ecological Validity
The extent to which research findings can be generalized to real-life settings.
Reliability
The consistency of a research study or measuring test.
Validity
The extent to which a test or research study measures what it claims to measure.
Demand Characteristics
Cues in an experiment that may reveal the aim to participants, influencing their behavior.
Researcher Bias
When a researcher's expectations influence the outcome of a study.
Double-Blind Procedure
Neither the participants nor the experimenters know who is receiving the treatment; helps reduce bias.
Quantitative Data
Numerical data that can be measured and analyzed statistically.
Qualitative Data
Descriptive data obtained through methods like interviews or observations.
Triangulation
Using multiple methods or sources to increase the credibility of research findings.
Informed Consent
Participants agreeing to take part in a study with full awareness of the nature and potential risks.
Deception
Withholding information or misleading participants; must be justified and followed by debriefing.
Debriefing
Explaining the true nature and purpose of the study to participants after it concludes.
Random Sampling
Every member of the population has an equal chance of being selected.
Opportunity Sampling
Participants are selected based on availability and willingness to take part.
Stratified Sampling
The population is divided into subgroups (strata), and participants are randomly selected from each subgroup.
Self-selected Sampling
Participants volunteer to take part in the study.
Snowball Sampling
Existing participants recruit future participants from among their acquaintances.
Purposive Sampling
Participants are selected based on specific characteristics or purpose relevant to the study.
Laboratory Experiment
A controlled environment where variables can be manipulated and measured.
Field Experiment
Conducted in a real-life setting, with manipulation of the IV.
Natural Experiment
The IV is not manipulated by the researcher but occurs naturally.
Quasi-Experiment
Participants are grouped based on characteristics that cannot be randomly assigned (e.g., gender).
Case Study
An in-depth investigation of an individual or group over time.
Interview
A method of collecting data through direct questioning.
Structured Interview
Uses a standardized set of questions.
Semi-structured Interview
Includes both fixed and open-ended questions.
Unstructured Interview
More like a guided conversation.
Observation
The researcher watches behavior in a natural or controlled setting.
Participant Observation
The researcher becomes involved in the group being studied.
Non-participant Observation
The researcher observes without becoming involved.
Naturalistic Observation
Takes place in a natural setting without interference.
Controlled Observation
Takes place in a structured and controlled environment.
Inductive Content Analysis
A qualitative method for analyzing interview and textual data by identifying themes.
Descriptive Statistics
Summarizes data (mean, median, mode, standard deviation).
Inferential Statistics
Tests hypotheses and determines if findings can be generalized.
Research Aim
The general purpose or goal of a research study.
Target Population
The group of people the research is intended to represent.
External Validity
The extent to which the results can be generalized beyond the study.
Internal Validity
The extent to which the study accurately establishes a cause-effect relationship.
Inter-rater Reliability
The level of agreement between different observers or raters.
Sampling Bias
Occurs when the sample is not representative of the population, affecting generalizability.
Confirmation Bias
The tendency to search for or interpret information in a way that confirms one's preconceptions.
Publication Bias
The tendency for journals to publish positive or significant findings rather than non-significant results.
Observer Bias
When the researcher's expectations influence their interpretation of the results.
Participant Bias
When participants alter their behavior due to the awareness of being observed.
Social Desirability Bias
When participants respond in a way that they believe is more socially acceptable.
Hindsight Bias
The tendency to see events as having been predictable after they have already occurred.
Cultural Bias
Interpreting and judging phenomena by standards inherent to one's own culture.
Experimenter Expectancy Effect
When the experimenter's expectations influence the outcome of the research.