College Board Expects Students To...
Apply psychological perspectives, theories, concepts, and research findings to a scenario.
Explain how cultural norms, expectations, and circumstances, as well as cognitive biases apply to behavior and mental processes.Â
Determine the type of research design(s) used in a given study.Â
Evaluate the appropriate use of research design elements in experimental methodology.
Evaluate the appropriate use of research design elements in non-experimental methodologies.
Evaluate whether a psychological research scenario followed appropriate ethical procedures.
Identify psychology-related concepts in descriptions or representations of data.
Calculate and interpret measures of central tendency, variation, and percentile rank in a given data set.
Interpret quantitative or qualitative inferential data from a given table, graph, chart, figure, or diagram.
Propose a defensible claim.
Provide reasoning that is grounded in scientifically derived evidence to support, refute, or modify an established or provided claim, policy, or norm.Â
Psychology as a Science
While some of the greatest mysteries can never be solved, scientific evidence can be found for others. Psychology is a study of mental processes and behaviors. The brain and behavior can be studied because they are observable, but the mind and thought are not tangible and thus, are harder to study. Therefore, psychological research looks for scientifically derived evidence to explore theories and phenomenon, knowing that many aspects of psychology will likely never be proven. Any and all attempts to better understand psychology is what make it a science.Â
The scientific attitude - curiosity + skepticism + humility - prepares us to think harder and smarter. This thinking style, called critical thinking, examines assumptions, appraises the source, discerns hidden biases, evaluates evidence, and assesses conclusions.Â
The Scientific Method:
Observe some aspect of the universe.Â
Develop a theory (general idea) that is consistent with what you have observed.Â
Use the theory to make a hypothesis (educated prediction/guess).Â
Test those predictions by conducting experiments. Important to have operational definitions (exact specifications on how the research is conducted).
Evaluate the results.
Modify the theory in the light of your findings.
Replicate (do the research a second time) to ensure the reliability of the results
Descriptive methods describe behaviors, often using case studies, surveys, or naturalistic observations.
Correlational methods associate different factors or variables.
Experimental methods manipulate variables to establish cause-and-effect relationships.
Deductive reasoning starts with a general statement or hypothesis and then examines the possibilities to reach a specific logical conclusion, while inductive reasoning starts with observations and using them to make generalizations. Deductive reasoning claims if the premises are true, so is the conclusion, while inductive reasoning makes the conclusion probable but not guaranteed.Â
Exploring Psychology
Scrolling through your media of choice, you come across a post that interests you. Hopefully, you are always a little skeptical before believing what you read/see, and before sharing, you do a little fact check. Are there other posts that support this? Who posted it? What do they have to gain from posting it? How might the subject feel about this post if they are not the author/photographer? All of these questions are components of critical thinking.
Critical thinking puts ideas to the test by examining assumptions, appraising the source, discerning hidden biases, evaluating evidence, and assessing conclusions. Applying critical thinking to psychological research supports the idea of it being a science, as theories must be thoroughly investigated to be considered valid. Â
Psychological theories are explanations that apply an integrated set of principles to organize observations and generate hypotheses, which are then tested and replicated to confirm, reject, or modify the conclusions of the research. From theories, we can begin to unravel some of the mysteries of the mind.Â
Population: group that research is meant to apply to
Sample: a variety of people from the population used as participants for research
Representative/Random sample: participants chosen fairly to represent a population; all those in a group being studied have an equal chance of inclusionÂ
A case study is a descriptive technique in which one individual or group is studied in depth in the hope of revealing universal principles. Case studies have helped reveal the results of brain damage, the extent of children’s minds, and demonstrations of animal intelligence.Â
Advantages:
Provides in-depth information of a limited number of subjects
Illustrates general principles that can be applied to others
Disadvantages:
Misleading if individual is atypical or under represented
Can over generalize the results
Naturalistic observation is a descriptive technique of observing and recording behavior in naturally occurring situations without trying to manipulate or control the situation.Â
Advantages:
Noninvasive – subjects more likely to display honest behavior in a natural setting
Offer ideas for further research
Disadvantages:
Can be time consuming and expensive
Subjects may become aware of the observer and may act differently as a result
Observer may misinterpret the actions of the subjects
A survey is a descriptive technique used to obtain self-reported attitudes and behaviors of a particular group, usually by questioning a representative random sample (participants chosen fairly represents a population {all those in a group being studied} because each member has equal chance of inclusion) of the group.Â
Advantages:
Able to collect a large amount of data in a short period of time
Relatively inexpensive
Flexible - online, in person, etc.
Disadvantages:
Can be affected by poor survey questions
Wording effects (a.k.a. framing): how questions are worded can skew responses
Participants can affect the outcome or try to please the researcher
Lie to make themselves look better (self-serving bias) or have mistaken memories (misinformation effect)
Can have a poor response rate
Naturalistic observations and surveys often show us that one trait or behavior tends to coincide with another, or correlate. A statistical measure of this is called a correlation coefficient, which is noted on a scale from -1.0 to +1.0 (r-value) and displayed through a scatter plot. The closer the correlation coefficient is to 1, the stronger the relationship. The closer the correlation coefficient is to 0, the weaker the relationship.
CORRELATION DOES NOT EQUAL CAUSATION! For example, there is a correlation between ice cream sales and instances of violent crime, but that doesn’t mean ice cream turns people into criminals. This is correlation between shoe size and vocabulary size, but if a gator bites your foot off, you won’t suddenly lose half your vocabulary.Â
Positive (+1.0) If there is positive correlation, the variables trend in the same direction.
Ex:
The more you study, the higher your grade.
The less absences you have, the less discipline referrals you receive.Â
Negative (-1.0) If there is negative correlation, the variables trend in opposite directions.
Ex:
The more absences you have, the lower your grade.
The less sleep you get, the more car accidents you get into.
Correlations not only make visible the relationships we might otherwise miss, but they also restrain our “seeing” nonexistent relationships. When we believe there is a relationship between variables where none exist it is called illusory correlation. This can explain gambling tactics and basic superstitions. For example, if you are an athlete who pulled off an upset victory, and associate that with a new pair of shoes, you might call them your “lucky shoes” and wear them, thinking they were the cause of your success. But we know correlation does not equal causation!
This belief can also be perpetuated by regression toward the mean, or the tendency for extreme or unusual scores/events to fall back toward the average. For example, if you bomb a test in a class you normally get As in, you will most likely get an A when retested.Â
To isolate cause and effect, researchers must conduct an experiment: a research method in which an investigator manipulates one or two factors (independent variables) to observe the effects on some behavior or mental process (dependent variables). Through random assignment (participants have equal chance of being in the experiment or control group), the researcher aims to control other relevant factors.
Hypothesis: a prediction about the relationship between variables
Experimental group: participants that receive the manipulated variables
Control group: participants that do not receive manipulated variables
Independent variable: factors that are manipulated or controlled by the researcher
Dependent variable: factors that are measured or observed by the researcher
Placebo: inert substance that is in place of independent variable in control group so participants do not know they are in control group
Validity: the extent to which a test or experiment measures or predicts what it intends to
Double-blind study: an experimental procedure in which both the research staff and the participants are ignorant of which group has received the placebo, to prevent bias from either party.
Single-blind study: participants do not know which group they are in, but the researcher does
Advantages:Â
Able to determine the extent of the cause and effect.
Able to generalize results.
Disadvantages:
Can be expensive and time consuming
Results can be from outside variables.Â
Placebo effect: experimental results caused by expectations alone (i.e. the participants acts or claims to feel a certain way because they think they have received a drug that would cause that reaction)
Hawthorne effect: the modification of behavior by study participants in response to their knowledge that they are being observed or singled out for special treatment
Barnum effect: the phenomenon that occurs when individuals believe that personality descriptions apply specifically to them (more so than to other people), despite the fact that the description is actually filled with information that applies to everyone.Â
Extraneous/Confounding Variables: factors that impact the dependent variable that are not the independent variable
Hindsight bias: the tendency to believe, after learning the outcome, that one would have foreseen it → I knew it all along!
Overconfidence: the tendency to overestimate you knowledge and/or ability
Gambler’s Fallacy: the tendency to overestimate the occurrence of patterns in random data
Social desirability bias: tendency for people to provide answers that may be dishonest because they are seeking approval and/or want to highlight their character strengths
Self-report bias: participants can try to affect the outcome of the research and/or be unrealistic about themselves (or try to please the researcher or even try to purposely challenge the researcher’s hypothesis)
Sampling bias: tendency for researchers to target their participants to increase the likelihood of proving their hypothesis, or failure to properly gather participants as a representative sample of the population, leading to skewed results
Wording effects (a.k.a. framing): how questions are worded can skew responses
Directionality Problems: the difficulty in determining the causal direction between two or more variables in psychological studies
Third-variable problem: when the relationship between two variables can be explained by a third variable
Ex. There is positive correlation between education and income, but this can be explained by socioeconomic status. The wealthier an individual is, the more likely they are to afford post-secondary education. The higher the academic achievement, the more likely one is to achieve a high-paying job.Â
Quantitative research is a method that relies on and supplies numerical data (ex. Survey results, Test scores), while qualitative research is a method that relies on in-depth, narrative analysis that cannot be translated into numerical data (ex. Case studies, interview responses).Â
Descriptive statistics are defined as numerical data used to measure and describe characteristics of groups, including measures of central tendency and variation. These can be presented through the use of histograms, or graphical representations of data points organized into user-specified ranges.
Mean: average of scores
Median: in a distribution of scores, the number that falls in the middle numerically
Mode: in a distribution of scores, the number that occurs most frequently
Range: distance from highest to lowest scores.
Standard Deviation: the average distance from the mean for a set score
Normal curve/distribution: a symmetrical, bell shaped curve that describes the distribution of many types of data where most scores fall in the middle and fewer scores fall in the extremes
Skewed Distribution: asymmetrical data points, with more score falling to one end or the other
Inferential statistics are defined as numerical data that allow one to generalize/infer from sample data the probability of something being true of a population. Â
When is it appropriate to apply findings to a population? The more data, the better!
 Representative samples are better than biased/unrepresentative samples.
 Bigger samples are better than smaller ones.
 More estimates are better than fewer estimates.
Meta-analysis: a statistical procedure that analyzes the results of multiple studies to reach an overall conclusion
Statistical Significance (p-value)is the degree to which you are sure that the dependent variable was a result of exposure to the independent variable. Â
To be considered statistically significant, you want to be as close as you can to a P-value= >.05 What does this mean?
5% likely the results are due to chance
95% Sure that the IV caused the DV
Effect size is the strength of the relationship between two variables. In other words, the larger the effect size, the more one variable can be explained by another.Â
A likert scale, or rating system, is a measurement method used in research to evaluate attitudes, opinions and perceptions. Likert scale questions are highly adaptable and can be used across a range of topics, from a customer satisfaction survey, to employment engagement surveys, to market research. In psychology, Likert scales can be used for things like personality assessments or mental health diagnoses.Â
Mistakes happen, but purposely reporting incorrect, disproven, or misrepresented data will get you exiled from the scientific community. Fake science can create real harm, so it is important to do your research on all research you read. Ensure the publication is published by a reputable source and has provided legitimate sources to support their work.Â
It is also why it is important to cite your own work. If you want to use someone’s ideas in your paper, you need to cite them, as both a courtesy to the author and to provide support for your work.Â
As we study psychology, you’ll note that many of the famous experiments are highly unethical and cannot be replicated. The American Psychological Association (APA) established several principles to make sure all those involved in research are protected.
Voluntary participation
Confidentiality
Informed consent: giving potential participants enough information about the study to enable them to choose whether or not to participate
Debriefing: the post-experimental explanation of a study, including its purpose and any deception
No long-term physical or psychological harm
All animal participants must be well cared for
If an animal has lost quality of life from participation, it should be humanely euthanized.
Approval from a research institution
Psychometrics generally refers to specialized fields within psychology and education devoted to testing, measurement, assessment, and related activities; i.e. how psychological constructs can be measured, manipulated, and observed. Whether researching, providing input, or treating patients, professionals are typically categorized by the following approaches to psychology:
Biological: studies biological influences on behavior, such as genes, hormones, brain activity, etc.Â
Developmental: studies the physical, cognitive, and social change throughout the life span
Cognitive: studies how we encode, store, and retrieve information
Educational: studying influences of teaching and learning
Humanistic: examines how the pursuit of fulfilling one's potential impacts behavior
Personality: investigating our persistent traits
Psychoanalytic: examines how the unconscious mind affects our thoughts, feelings, and actions
Social/Cultural: the scientific study of how we think about, influence, and relate to others, as well as, how others can change how we think, feel, and behave
How can we use psychology to become a better student?
Get a good night’s sleep (teens are recommended to get 9 hours each night)
Exercise (improves mood and health, alleviates stress and anxiety)
Set long-term goals with short-term aims (work your way towards what you want while feeling accomplished)
Distributed practice/spacing effect: review your notes for a few minutes every day to help remember the information for the test
Testing effect: repeatedly go through information for better memory retention & retrieval
SQ3R: a study method incorporating five steps - survey, question, read, retrieve, review
Have a growth mindset (seek opportunities to improve & don’t get discouraged)
Prioritize relationships (socialization is important!)
Unit Zero Vocabulary
case study: an in-depth examination of an individual or small group over an extended period, often using a variety of data sources such as interviews, observations, and psychological tests.
confounding variable: a variable other than the independent variable that could potentially influence the dependent variable, leading to inaccurate interpretations of the results.
control group: the group in an experiment that does not receive the treatment or intervention, used for comparison with the experimental group.
correlation: a statistical measure of the relationship between two variables, indicating how they change together. However, correlation does not imply causation.
correlation coefficient: a numerical value between -1 and +1 that represents the strength and direction of the relationship between two variables.
critical thinking: the objective analysis and evaluation of an issue to form a judgment. It involves questioning assumptions, examining evidence, and considering alternative perspectives.
debriefing: the process of providing participants with information about the purpose, procedures, and results of a research study after their participation, especially if deception was used.
dependent variable: the variable that is measured or observed in an experiment and is expected to change as a result of the manipulation of the independent variable.
descriptive statistics: statistical techniques used to summarize and describe the characteristics or properties of a dataset, such as measures of central tendency and variability.
double-blind procedure: an experimental procedure in which both the participants and the researchers involved are unaware of who is assigned to the experimental or control group, reducing bias.
effect size: a measure of the strength or magnitude of the relationship between variables or the magnitude of a treatment effect, independent of sample size.
experiment: a research method in which one or more variables are manipulated to observe the effect on another variable, while controlling for extraneous factors.
experimental group: the group in an experiment that is exposed to the treatment or intervention being studied.
experimenter bias: the influence of the researcher's expectations or beliefs on the outcomes of an experiment, leading to unintentional bias in data collection or interpretation.
falsifiability: the principle that for a hypothesis or theory to be considered scientific, it must be possible to conceive of evidence that would prove it false.
hindsight bias: the tendency to believe, after learning an outcome, that one would have foreseen it. It's often referred to as the "I knew it all along" phenomenon.
histogram: a graphical representation of the distribution of numerical data, where the data is divided into intervals (bins) and the height of each bar represents the frequency or count of data points within each interval.
hypotheses: testable predictions or educated guesses about the relationship between two or more variables, typically formulated as statements.
illusory correlation: the perception of a relationship between two variables when no such relationship exists, or the perceived relationship is weaker than it appears.
independent variable: the variable that is manipulated or controlled by the researcher in an experiment to observe its effect on the dependent variable.
inferential statistics: statistical techniques used to make inferences or predictions about a population based on sample data, including hypothesis testing and estimation.
informed consent: the ethical principle requiring that participants in a research study are fully informed about the nature, purpose, risks, and benefits of participation before agreeing to take part.
mean: the average of a set of values, calculated by summing all values and dividing by the number of values.
median: the middle value in a dataset when the values are arranged in ascending or descending order. If there is an even number of values, the median is the average of the two middle values.
meta-analysis: a statistical technique for combining the findings from multiple studies on a particular topic to determine overall trends or effects.
mode: the most frequently occurring value in a dataset.
naturalistic observation: observation of behavior in its natural context without interference or manipulation by the researcher.
normal curve: a symmetrical, bell-shaped curve that represents the distribution of scores in a population, with the mean, median, and mode all located at the center.
operational definitions: precise descriptions of how variables in a study will be manipulated or measured. They specify the procedures used to define and measure concepts.
peer reviews: the evaluation of scientific, academic, or professional work by others in the same field to ensure its quality and validity before publication or presentation.
percentile rank: the percentage of scores in a distribution that are equal to or below a particular score.
placebo: an inactive substance or treatment that resembles the experimental treatment, used in research to control for the psychological effects of receiving treatment.
placebo effect: the phenomenon where individuals experience a change in their condition or behavior after receiving a placebo, due to their belief in the effectiveness of the treatment.
population: the entire group of individuals or cases that researchers are interested in studying and to which they intend to generalize their findings.
qualitative research: research that focuses on gathering and analyzing non-numerical data, such as observations, interviews, or textual analysis, to understand meanings, experiences, or perspectives.
quantitative research: research that focuses on gathering and analyzing numerical data to understand relationships, patterns, or trends.
random assignment: the process of assigning participants to experimental or control groups in a way that each individual has an equal chance of being placed in any group, reducing the likelihood of bias.
random sample: a sample in which every member of the population has an equal chance of being selected to participate in the study, increasing the generalizability of the findings.
range: the difference between the highest and lowest values in a dataset, representing the spread or dispersion of the data.
regression toward the mean: the tendency for extreme or unusual scores on a variable to move closer to the average or mean when measured again.
replicate: to repeat a research study or experiment to determine if the findings can be reliably reproduced.
sampling bias: a bias in which a sample is not representative of the population from which it is drawn, leading to inaccurate or ungeneralizable results.
scatterplot: a graphical representation of the relationship between two variables, where each data point represents an individual's score on both variables.
self-report bias: inaccuracies or distortions in responses to surveys or questionnaires due to factors such as social desirability, memory recall, or misunderstanding of questions.
single-blind procedure: an experimental procedure in which either the participants or the researchers involved are unaware of who is assigned to the experimental or control group.
skewed distribution: the distribution of data in which the scores cluster more towards one end (positive skew) or the other end (negative skew) of the range, rather than being evenly distributed.
social desirability bias: the tendency for people to respond in a manner that they believe is socially acceptable or desirable, rather than providing honest or accurate answers.
standard deviation: a measure of the average distance of each data point from the mean of the dataset, indicating the degree of variability or dispersion in the data.
statistical significance: the likelihood that the results of a study are not due to chance, typically determined by comparing observed data with expected outcomes under the null hypothesis.
survey: a research method that involves collecting data from a population through the use of questionnaires or interviews to gather information about attitudes, beliefs, behaviors, or characteristics.
theory: a well-supported explanation for a phenomenon based on evidence, observation, and experimentation. It integrates and organizes a set of related principles or concepts.
validity: the extent to which a research study measures what it claims to measure or accurately reflects the concept or phenomenon being studied.
variable: any factor or condition that can change or vary in a research study. Variables are typically categorized as independent or dependent.