Psychology Ch. 2 Flashcards
Hypothesis
An educated guess or prediction.
Construct
An idea or concept that we can’t see or touch. It’s a way of talking about things that are a bit tricky to measure directly. For example, when we talk about “intelligence” or “happiness,” these are constructs because we can’t see them, but we use tests or observations to understand or guess if they’re there.
Operational definition
Giving a clear, specific description of something so that researchers can measure or observe it in a study. It’s a way of turning abstract concepts or ideas into something concrete and measurable.
Construct : Anxiety
Operational Definition : sweaty palms, racing heart beat etc..
Independent variable
The thing in an experiment that is getting manipulated.
e.g., if they want to see how studying time influences test scores, the independent variable would be the amount of time spent studying. They’re testing if changes in this variable (studying time) cause changes in another variable (test scores).
Dependent variable
The thing in an experiment that is getting measured
e.g., researchers want to find out if changes in the amount of time spent studying (independent variable) have an impact on the test scores (dependent variable).
Descriptive research
Taking a close look and describing what’s happening without trying to change anything. It’s about observing, asking questions, or studying one thing in detail. For example, instead of changing how people behave, it just watches and documents their actions to understand them better. It’s like trying to take a snapshot of a situation to see what’s going on.
Survey
A set of questions that people answer to provide information about their opinions, experiences, or behaviors. It’s a way of collecting data from a group of individuals to understand what they think or do.
Case study
Zooming in really close to study one specific thing, like a person, a group, or an event. It’s like telling a very detailed story about that thing, using lots of information from different sources. This helps psychologists understand the thing in a deep and thorough way. It’s like taking a close-up look to learn everything there is to know about it.
Correlational study
Looking to see if there’s a connection or relationship between two things. It involves examining whether changes in one variable are associated with changes in another variable. However, it’s important to note that correlation doesn’t imply causation; just because two things are related doesn’t mean one causes the other.
Directionality problem
That when you observe a relationship between two variables (let’s call them A and B), you can’t be sure if A is causing B, if B is causing A
Causal claims
Like a clear cause-and-effect connection between two things. If one thing changes, it directly makes the other thing change too. For example, if you press a button (cause), a light turns on (effect). There’s a clear link between what you do (cause) and what happens as a result (effect
Third-variable problem
If there’s another factor (variable C) influencing both A and B. It’s like saying, “There’s a connection between A and B, but we need to consider the possibility that something else is going on that we haven’t figured out yet.”
Correlation coefficient
A number that tells us how strong and in which direction two variables are related (goes from -1 to +1)
+1 is a perfect positive correlation -As one variable increases, the other variable increases at a constant rate.
-1 indicates a perfect negative correlation. As one variable increases, the other decreases at a constant rate.
0 means no correlation; the variables do not have a linear relationship.
Experiment
Scientific investigation designed to test a hypothesis and understand cause-and-effect relationships. It involves manipulating two or more variables to observe the effect on another variable while keeping all other factors constant.
Random assignment
Flipping a fair coin to decide which participants end up in the experimental group and which ones go into the control group. It’s a way of making sure that each participant has an equal chance of being in either group.
confound
A sneaky variable that messes up an experiment by influencing the results in a way that wasn’t intended. It’s an outside factor that can confuse or confound the interpretation of the relationship between the independent variable and the dependent variable
Random sample
Picking participants for a study in a way that gives everyone in the population an equal chance of being chosen. It’s like drawing names out of a hat, where each person has a fair and random shot at being included in the study.
Quasi-experiment
Random assignment is not possible
e.g., Students receiving a new teaching method (experimental group) and the other continuing with the usual method (control group).
Due to practical constraints or ethical considerations (maybe it’s not feasible to change the teaching method for certain students)
Field experiment
Bringing the experiment to the real world to observe how people naturally respond to changes in their environment. (there still is a random assignment.)
Reliability
Checking whether a test or measurement consistently gives the same results when used multiple times or by different people. It’s about ensuring that the tool you’re using to measure something is dependable and produces reliable information.