Unit 2: Scientific Method Flashcards
6 Ways of Knowing:
- Ask authorities
- Take a vote
- Intuition
- Faith
- Personal experience
- Science
The Scientific Method:
The scientific method is a self-correcting process of asking questions and answering the questions by conducting research.
Theory:
A theory is a coherent network of explanatory ideas, which leads to hypotheses, which lead to research. If the findings support the hypotheses then confidence in the theory increases. If findings do not support hypotheses, then confidence in the theory decreases, then you would discard the theory or revise and refine the theory and start the process over
Different Research Methods:
- Case Study
- Naturalistic Observation
- Survey Research
- Experiment
Case Study:
A detailed analysis of a single individual
Naturalistic Observation:
Observing and recording behavior as it naturally occurs in real life
Survey Research:
Study of beliefs, attitudes, or behaviors based on people’s answers to questions.
Importance of a random sample in survey research
Random Sample:
- Each member of the population must have an equal chance of being included in the study
- Represents the population
- Allows you to generalize findings from sample to population
Correlation:
A measure of the relationship between two variables
*Case study, naturalistic observation and survey research can only provide clear information about correlation not causation.
Negative correlation:
- the more X, the less Y
* the less X, the more Y
Positive correlation:
- the more X, the more Y
* the less X, the less Y
Zero correlation:
•no relationship between X and Y
When X is correlated with Y, it may be that:
1) X causes Y
2) Y causes X
3) A third variable causes both X and Y
The Problem: Which one is correct? Don’t know.
Can’t draw causal conclusions from correlational data. Can’t draw causal conclusions from case study, naturalistic observation and survey research.
The Experiment:
Researcher manipulates the independent variable(s) and observes how this affects the dependent variable(s)
3 Crucial Ingredients in experiments:
- Manipulating the independent variable(s)
- Measuring the dependent variable(s)
- Random assignment