Quantitative
Research methodology that involves the use of numerical data and statistical analysis.
Operationalization
The process of defining and quantifying variables that cannot be directly measured.
Construct
A theoretically identifiable variable that needs to be operationalized in quantitative studies.
Experimental Studies
Studies that involve manipulating an independent variable to observe its effect on a dependent variable.
Correlational Studies
Studies that measure the relationship between variables without manipulating them.
Descriptive Studies
Studies that focus on individual variables separately and do not investigate relationships between variables.
Independent Variable
The variable that is manipulated by the researcher to observe its effect on the dependent variable.
Dependent Variable
The variable that changes as a result of the manipulation of the independent variable.
Control Variables
Variables that are kept constant throughout the experiment to eliminate their potential influence on the dependent variable.
Confounding Variables
Variables other than the independent variable that may affect the dependent variable and confound the results.
Sampling
The process of selecting a group of participants for a study.
Sample
The group of people participating in the experiment.
Target Population
The group of people to which the findings of the study are expected to be generalized.
Random Sampling
Participants are chosen at random, giving everyone an equal chance of being selected.
Stratified Sampling
Participants are chosen based on the proportions of people in the target population.
Convenience Sampling
Participants who are easily available are chosen for the study.
Self-Selected Sampling
Participants who voluntarily respond to an ad are chosen for the study.
Experimental Designs
Different designs used in experiments to compare groups or conditions.
Independent Measures Design
Participants are randomly assigned to different groups and each group goes through different trials.
Matched Pairs Design
Participants are matched based on certain characteristics and then assigned to different groups.
Repeated Measure Design
The same group of participants is exposed to multiple conditions and the conditions are compared.
Threats to Internal Validity
Factors that may affect the validity of the experiment's results.
Selection
Occurs when groups are not equivalent at the start of the experiment, potentially influencing the results.
History
Refers to outside events that may influence the dependent variable during the course of the experiment.
Maturation
Natural developmental processes that participants go through during the experiment, such as fatigue or growth.
Testing Effect
The first measurement of the dependent variable may affect subsequent measurements.
Instrumentation
Changes in the instrument used to measure the dependent variable between measurements.
Regression to the Mean
The tendency for extreme scores to move closer to the average in subsequent measurements.
Experiment Mortality
Participants dropping out of the experiment before it is completed.
Demand Characteristics
Participants changing their behavior subconsciously based on their understanding of the experiment's purpose.
Experimenter Bias
The unintentional influence of the researcher on the results of the study.
True Lab Experiment
An experiment conducted in a controlled laboratory setting where the independent variable is manipulated by the researcher.
True Field Experiment
An experiment conducted in a real-life setting where the independent variable is manipulated by the researcher.
Natural Experiment
An experiment where the independent variable is manipulated by nature in a real-life setting.
Quasi-Experiment
An experiment where the independent variable is not manipulated, but rather pre-existing differences are observed.
Triangulation
The use of multiple methods, data sources, researchers, or theories to strengthen the validity of the research.
Rapport
The establishment of a good relationship between the researcher and participants to ensure honest responses.
Iterative Questioning
The process of spotting ambiguous answers and returning to the topic later while rephrasing the question.
Reflexivity
The researcher reflecting on their own biases and how they may have influenced the observations or interpretations.
Credibility Checks
Checking the accuracy of data by asking participants to confirm the accuracy of transcripts or field notes.
Thick Descriptions
Providing detailed explanations of observed behavior and the context in which it occurred.
Biases in Qualitative Research
Potential biases that may affect the validity of qualitative research.
Participant Bias
Biases that participants may exhibit during the research process.
Researcher Bias
Biases that researchers may unintentionally introduce into the research process.
Types of Sampling
Different approaches to selecting participants for a study.
Quota Sampling
Determining the number of participants and their characteristics before the start of the research.
Purposive Sampling
Recruiting participants based on pre-defined characteristics.
Theoretical Sampling
Sampling until data saturation is reached, focusing on specific theoretical concepts.
Snowball Sampling
Inviting a small number of participants who then invite others