AP Psychology - Unit 0.2 Research Methods and Design

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34 Terms

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Methodology

  • system of principles, methods, and techniques used to conduct research

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Experimental Methodology

  • systematic approach designed to be carried out under controlled conditions

  • tests hypotheses

  • establishes cause-and-effect relationships

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Non-Experimental Methodology

  • describes behavior

  • cannot establish cause-and-effect relationship between variables

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Control Group

  • participants/subjects wo receive no treatment or placebo 

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Experimental Group

  • participants/subjects who receive treatment or independent variable

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Scientific Method

  • self-evaluating process used to evaluate ideas with observation and analysis 

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Case Study

  • non-experimental research method

  • in-depth analysis on a person, group, or event

  • gathers a lot of information

  • can be generalized

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Placebo

  • given to the control group

  • has similar aspects of the independent variable/treatment but misses key component 

  • no actual effect, but can be therapeutic (placebo effect)

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Correlational Study

  • a non-experimental research method

  • studies relationship between two or more variables

  • does not explain the causation of the relationship 

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Single-Blind

  • participants don’t know whether they are in the control group or experimental group

  • decreases chances of social desirability bias

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Double-Blind

  • neither experimenters nor subjects know whose in the control or experimental group

  • decreases chances of social desirability bias and experimenter bias

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Naturalistic Observation

  • non-experimental research method

  • observes natural/authentic behavior of subjects

  • researcher do not interfere

  • no manipulated variables

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Meta-Analysis

  • non-experimental research method

  • uses data from pervious studies to define patterns/trends

  • helps scientists look at an issue in a “bigger picture”

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Hawthorne Effect

  • subject purposefully alters their behavior when aware of being observed 

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Hypothesis

  • a prediction on the relationship between variables

  • measurable and testable

  • falsifiable

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Convience Sampling

  • selecting people for a sample based on availability/accessibility

  • may not represent a larger population

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Falsifiable

  • able to be proven wrong 

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Random Sampling

  • sample fairly represents a population because each member has an equal chance of participating in a study

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Empirical Evidence

  • information based on observable factors or experiment

  • can support hypothesis

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Population

  • all the individuals that a study applies to 

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Sample

  • a selected group of individuals in a population that are chosen to represent the population in a study 

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Independent Variable

  • controlled by experimenter 

  • stands alone/not influenced 

  • “the cause”

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Dependent Variable

  • the behavior/mental processes being measured

  • may change based on the other variables

  • “the effect”

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Self-Report Bias

  • subject/participant reports inaccurate information 

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Confounding Variable

  • an extent factor that influences the dependent variable

  • not controlled by scientist 

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Social Desirability Bias

  • a participant changes their behavior to seem more impressionable 

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Third Variable Problem

  • an uncontrolled/additional variable impacts the outcome of a study

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Experimenter Bias

  • an experimenter unintentionally skews results due to their preferences, beliefs, or conceptions 

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Operational Definition

  • descriptive process of an experiment that explains how the researcher manipulated the variables

  • allows other scientists to replicate the experiment 

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Qualitative Data

  • non-numerical data

  • descriptive insight on a subject’s thoughts, feelings, and attitude 

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Quantitative Data

  • numerical data

  • statistically analyzed to identify different relationships, patterns, and differences

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Generalization

  • the extent of how much of a population can be applied to a data set/ study outcome 

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Likert Scale

  • quantifies data

  • measures participant’s thoughts on a set scale 

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3 Key Principles of Ethics

  1. Respect for Persons: participants must give informed consent

  2. Beneficence: researchers should not negatively impact a participant’s well being

  3. Justice: participants are not being exploited