Unit 0-Boot Camp review
UNIT 0: Science Practices in Psychology
Psychology seeks to answer questions about how and why we think, feel, and act.
As a science, it utilizes research and data interpretation to distinguish between uninformed opinions and examined conclusions.
Science Practices in AP Psychology
There are four essential science practices in AP Psychology: - Concept Application - Research Methods & Design - Data Interpretation - Argumentation
Mastery of these skills is crucial for success on the AP Psychology Exam.
TOPIC 0.1: The Scientific Attitude, Critical Thinking, and Developing Arguments
0.1-1: Explain how psychology is a science.
0.1-2: Describe the three key elements of the scientific attitude that support scientific inquiry.
0.1-3: Explain how critical thinking fosters a scientific attitude and enhances smarter thinking in everyday life.
TOPIC 0.2: The Need for Psychological Science
0.2-1: Illustrate how cognitive biases, including hindsight bias, overconfidence, and the tendency to perceive order in random events, underscore the importance of science-based answers over common sense.
Cognitive Biases Defined: - Hindsight Bias: The inclination to see events as having been predictable after they have already occurred. - Confirmation Bias: The tendency to search for, interpret, favor, and recall information in a way that confirms one’s preexisting beliefs. - Overconfidence Bias: The tendency to overestimate the accuracy of one’s beliefs or judgments.
TOPIC 0.3: The Scientific Method
0.3-1: Describe how theories contribute to the advancement of psychological science.
0.3-2: Explain psychologists' use of case studies, naturalistic observations, and surveys for behavioral observation and description, emphasizing the importance of random sampling.
Key Terms: - Peer Reviewers: Experts who evaluate the research quality before publication. - Hypothesis: A testable prediction about the relationship between two or more variables. - Falsifiable: The ability of a hypothesis to be disproven through evidence. - Operational Definition: A statement of the procedures used to define research variables. - Replication: The process of repeating a study to confirm findings. - Types of Observational Methods: - Case Study: An in-depth study of an individual or small group. - Naturalistic Observation: Seeing subjects in their natural environment without interference. - Surveys: Research methods involving questioning participants.
Biases in Surveying: - Social Desirability Bias: The tendency of respondents to answer questions in a manner that will be viewed favorably by others. - Self-Report Bias: When participants respond based on their current feelings rather than accurate reflections. - Experimenter Bias: Influences on participants by the researcher's expectations. - Sampling Issues: - Population: The entire group being studied. - Sample: A subset of the population. - Sampling Bias: When the sample is not representative of the population. - Random Sample: Everyone has an equal chance of being selected. - Convenience Sampling: Selecting individuals who are easily accessible. - Representative Sample: A sample that accurately reflects the population.
TOPIC 0.4: Research Design and Ethics in Psychology
0.4-1: Describe correlation, distinguishing between positive and negative correlations.
0.4-2: Explain illusory correlations and regression toward the mean.
0.4-3: Describe characteristics of experiments that help isolate causation.
Key Terms in Research Design: - Experimental Methodology: Involves the manipulation of variables to determine causation. - Non-Experimental Methodology: Observes variables as they naturally occur. - Correlation & Correlation Coefficient: Measures the strength and direction of a relationship between variables. - Scatterplot: Graphical representation of the correlation. - Directionality Problem: Uncertainty in whether A influences B or vice versa. - Third Variable Problem: The existence of an unaccounted variable that influences both A and B. - Experimental Design Terms: - Experiment: A controlled study designed to test hypotheses. - Experimental Group: The group that receives the treatment. - Control Group: The group that does not receive the treatment. - Independent Variable(s): The variable that is manipulated. - Dependent Variable(s): The variable that is measured. - Random Assignment: Randomly allocating participants to different groups to eliminate bias. - Single-Blind Procedure: Participants are unaware of which group they are in. - Double-Blind Procedure: Both researchers and participants are unaware of group allocations. - Placebo: An inactive treatment given to control groups. - Placebo Effect: Improvement due to the belief in the treatment's efficacy. - Confounding Variable: Any variable that might influence the dependent variable outside the independent variable(s). - Experimenter Bias: Same as above, where the researcher's expectations themselves potentially skew results.
TOPIC 0.5: Research Design and Ethics
0.5-1: Explain the process of determining the appropriate research design.
0.5-2: Discuss the significance of simplified laboratory conditions in enhancing our understanding of normal life.
0.5-3: Address why psychologists study animals and the ethical guidelines in place to protect human and animal welfare.
0.5-4: Illustrate how psychologists’ values shape their research focus and applications of results.
Key Terms: - Quantitative Research: Research involving numerical data. - Qualitative Research: Research that focuses on descriptive data and understanding meanings. - Likert Scales: Rating scales used to measure attitudes or opinions. - Institutional Review: Protocols requiring ethical oversight in research. - Informed Consent: Participants must agree to take part with full knowledge of the study's purpose and procedures. - Informed Assent: Obtaining agreement from participants who may not be able to provide full consent (e.g., children). - Protect from Harm: Ethical guideline ensuring participants are not physically or psychologically harmed. - Confidentiality: Safeguarding participants' identities and data. - Anonymity: Ensuring participant data cannot be traced back to them. - Research Confederates: Individuals acting as participants in a study but are actually part of the research team. - Debriefing: Explaining the study’s purpose and results to participants after their involvement.
TOPIC 0.6: Statistical Reasoning in Everyday Life
0.6-1: Describe the use of descriptive statistics.
0.6-2: Explain the three measures of central tendency and their role in data description.
0.6-3: Discuss the usefulness of variation measures in data analysis.
0.6-4: Define inferential statistics and their significance in research.
0.6-5: Explain how to determine if an observed difference is generalizable to other populations.
Measures of Central Tendency: - Mode: The value that occurs most frequently in a dataset. - Mean: The sum of all values divided by the number of values. - Median: The middle value when data are arranged in order. - Percentile Rank: A score that indicates the relative standing of a value within a dataset.
Distribution Types: - Skewed Distribution: A distribution where values are concentrated on one side of the average. - Bimodal Distribution: A distribution with two modes.
Measures of Variation: - Range: The difference between the highest and lowest values. - Standard Deviation: A measure of how spread out numbers are around the mean.
Statistical Analysis Terms: - Normal Curve: A symmetrical bell-shaped distribution where most values are close to the mean. - Inferential Statistics: Techniques used to make generalizations from a sample to a population. - Meta-Analysis: A method that combines results from multiple studies. - Statistical Significance: A determination of whether results are likely due to chance. - Effect Size: A measure of the strength of the relationship between two variables or the magnitude of an effect.
Updated by Joelie McCrary 202