Exam #1 Flashcards
What’s classical conditioning? Who made it?
When a neutral stimulus (such as the sound of a bell) produces a response (becomes CS) after being paired with an unconditioned stimulus that naturally produces a response (such as the presentation of food);
After several trials associating the two, the conditioned stimulus (the sound) alone can produce a conditioned response. First studied by Ivan Pavlov.
What is Operant conditioning? Law of effect?
Type of learning in which the consequences of an organism’s behavior determine whether it will be repeated in the future. A method of learning that uses rewards and punishment to modify behavior.
Edward Thorndike (1874–1949) focused on instrumental behaviors and created a puzzle box to show the law of effect.
–Law of effect: Behaviors that are followed by a “satisfying state of affairs” tend to be repeated, and those that produce an “unpleasant state of affairs” are less likely to be repeated.
What are the basic principles of classical conditioning? Define them all.
Acquisition: Phase of classical conditioning when the CS (saliva) and the US (food) are presented together.
Extinction: Gradual elimination of a learned response that occurs when the US (food) is no longer presented.
Second-order conditioning: a phenomenon whereby a conditioned stimulus (CS) acquires the ability to elicit a conditioned response (CR) without ever being directly paired with an unconditioned stimulus (US).
Spontaneous recovery: Tendency of a learned behavior to recover from extinction after a rest period. This means the behavior may occur again after extinction.
Generalization of classical conditioning.
Stimulus generalization occurs when a stimulus that is similar to an already-conditioned stimulus begins to produce the same response as the original stimulus does.
Research producer vs consumer
Research producer:
-works in a lab
-writes up results & presents them at research meetings
E.g: studying brain anatomy, documenting behavior of dolphins/monkeys, administering personality questionnaires, observing children in school setting, analyzing data, research scientists, professors.
Research consumer:
-read about research to apply it to work, hobbies, relationships, personal growth
E.g: enjoys reading about brain structure, behavior of dolphins or monkeys, personalities of fellow students/behavior of children at school, entrepreneurs, teachers, guidance counselors, police officers, family therapists.
Importance:
-to become savvy consumer of information
-graduate school, writing APA papers
-when reading printed/online news stories based on research
-for future career
-for psychology courses
-evidence-based treatments
Benefits:
-knowing what to invest into
-Evaluate information efficiently
Empiricism vs. skepticism
Empiricism (empirical method/research)-using evidence from senses (sight, hearing, touch)/from instruments (thermometers, timers, photographs, weight scales, questionnaires) as the basis for conclusion - knowledge comes from observation.
-empiricists aim to be systematic, rigorous, to make their work independently verifiable by others observers or scientists
-most reliable basis for conclusions when compared with other forms of reasoning (experience/intuition)
Skepticism:
-philosophy that ideas must be evaluated on the basis of careful logic & results from scientific investigations
Cupboard vs. Contact Comfort theory
Cupboard theory
-Babies-attached to their mothers because their mothers are a source of food -pleasant feeling of reduced hunger
-would be supported if baby monkeys spent most of their time clinging to wire mother
Contact comfort theory
-Babies-attached to their mothers because their mothers provide the comfort of cozy touch to them-pleasant feeling of comfort
-would be supported if baby monkeys spent most of their time clinging to cloth mother
In real world-impossible to tell why babies get attached to mothers-mothers provide both food & comfort
-Neither theory would be supported if baby monkeys divided their time equally between wire & cloth mothers
Method: tested 2 theories to make 2 specific predictions about monkeys’ interactions-used recorded data
Contact comfort theory was supported - monkeys spend an overwhelming majority of their time with cloth mother and climbed down to wire mother ONLY for nursing
Harlow’s theory supports overwhelming importance of bodily contact as opposed to nourishment
Hypothesis (or prediction) vs Theory
Hypothesis - It’s the specific outcome the researcher expects to observe from a particular study, if the theory is accurate.
Theory - set of statements that describes general principles about how variables (measured) relate to one another (on which the practice of an activity is based).
Variable vs Constant
Variable - an attribute that varies, having at least two levels, or values. There are 4 kinds of variable: dependent variable, independent variable, manipulated variable and measured.
E.g. “Knowing when news is fake” is the variable, and its levels are knowing when news is fake, and not knowing when fake.
Constant - an attribute that could potentially vary but that has only one level in the study in question.
E.g. “15% of Americans smoke,” nationality is not a variable because everyone in the study is American. In this example, nationality would be a constant.
measured vs manipulated variables
A measured variable is one whose levels are simply observed and recorded. Some variables, such as height and IQ, are measured using familiar tools (a ruler, a test).
A manipulated variable is a variable a researcher controls, usually by assigning study participants to the different levels of that variable. For example, a researcher might give some participants 10 mg of a medication, others 20 mg, and still others 30 mg.
association vs causal claims common verbs
Association: tied/ linked to, relates, connected to, associated w
Causal: helps, enhances, increases, decreases
Positive association vs negative vs zero association
Positive association is an association in which high goes with high and low goes with low;
E.g. - high rates of exercise go with higher levels of pay, and low rates of exercise go with lower levels of pay.
Negative association - high goes with low and low goes with high. E.g. - high rates of coffee go with less depression, and low rates of coffee go with more depression.
Zero association (or no association) - a lack of systematic association between two variables.
construct VS external VS statistical validities of frequency claims
Construct validity refers to how well a conceptual variable is operationalized. When you ask how well a study measured or manipulated a variable, you are interrogating the construct validity—be it smiling, smoking, texting, gender identity, food insecurity, or knowing when news is fake. For example, when evaluating the construct validity of a frequency claim, the question is how well the researchers measured their variable of interest. Consider this claim: “39% of teens text while driving.” There are several ways to measure this variable.
External validity - an indication of how well the results of a study generalize to, or represent, individuals or contexts besides those in the study itself. e.g. Gallup researchers had simply asked people who clicked on the Gallup website whether they smiled yesterday, and 74% of them said they did, the researcher cannot claim that 74% of the entire world did.
Statistical validity - The extent to which statistical conclusions derived from a study are accurate and reasonable. Also called statistical conclusion validity. To understand statistical validity, it helps to know that the value we get from a single study is not an objective truth. Instead, it’s an estimate of that value in some population. E.g., for the report claiming that “39% of teenagers text while driving,” researchers interviewed a sample of about 9,000 teen drivers to estimate the behavior of the population of all U.S. teenage drivers.
construct VS external VS statistical validities of association claims
Construct validity of association claim - a researcher measures two variables, so you have to assess the construct validity of each variable. For the headline “Study links coffee consumption to lower depression in women,” you should ask how well the researchers measured coffee consumption and how well they measured depression.
External validity - it’s asking whether it can generalize to other populations, as well as to other contexts, times, or places. For example, the association between coffee consumption and depression came from a study of women. Will the association generalize to men?
Statistical validity - considers how strong the estimated association is and how precise that estimate is, and it considers other estimates of the same association. Some associations —such as between education and income—are quite strong. People with bachelor’s degrees usually earn much more money than those with high school degrees—about 66% more income over a 40-year career.
construct VS external VS statistical validities of causal claims
Construct validity of causal claim - Take the headline “Pretending to be Batman helps kids stay on task.” First, we could ask about the construct validity of the measured variable in this study. How well was “staying on task” measured? Then we would need to interrogate the construct validity of the manipulated variable. E.g. Was the costume and the question “Is Batman working hard?” the best manipulation of the construct, “pretending to be a hardworking hero”?
Internal validity - This is the priority! Was the study an experiment? Does the study achieve temporal precedence? Does the study control for alternative explanations by randomly assigning participants to groups?
External validity - It is rarely prioritized in an experiment!! The study tested 6-year-old children from Minneapolis, Minnesota. Can this sample generalize to children from other states or other countries? Would it generalize to younger kids?
Statistical validity - To start, we would ask: How large was the difference between the groups? In this example, participants in the Batman condition persisted about 60% of the time, compared with 35% of the time for those in the self-immersed condition— nearly twice as long. That seems a large effect. We can also ask whether this study has been repeated—whether we can consider estimates from multiple studies over time.
independent vs dependent variable
the manipulated variable is called the independent variable and the measured variable is called the dependent variable. To support the claim about Batman, the researchers in that study would have had to manipulate the variable “pretending to be Batman” and measure the persistence variable. To manipulate a variable means to assign participants to be at one level or the other. White and colleagues asked all 90 kids to do a slow-paced, boring computer task.
experimental method vs non-experimental
Two major problems with the nonexperimental method
- Difficult to tell the direction of cause and effect, which variable causes the other.
- When the relationship between variables is studied, researchers generally conceptualize them as having a cause-and-effect relationship.
The independent variable in a study is the variable believed to be the cause of the effect to the dependent variable.
- A researcher manipulates the independent variable and measures the resulting change in the dependent variable.