Podcast
Questions and Answers
Which of the following best describes a confounding variable?
Which of the following best describes a confounding variable?
In an experiment studying the impact of gender on political attitudes, what is the dependent variable?
In an experiment studying the impact of gender on political attitudes, what is the dependent variable?
Which type of variable can take on an infinite number of values?
Which type of variable can take on an infinite number of values?
What is a characteristic of discrete observations?
What is a characteristic of discrete observations?
Signup and view all the answers
Which variable type uses categories or names as their values?
Which variable type uses categories or names as their values?
Signup and view all the answers
What distinguishes interval variables from other types of variables?
What distinguishes interval variables from other types of variables?
Signup and view all the answers
Which of the following is NOT a type of variable mentioned?
Which of the following is NOT a type of variable mentioned?
Signup and view all the answers
In which scenario is it necessary to consider confounding variables?
In which scenario is it necessary to consider confounding variables?
Signup and view all the answers
What is the main purpose of descriptive statistics?
What is the main purpose of descriptive statistics?
Signup and view all the answers
Which statement accurately describes inferential statistics?
Which statement accurately describes inferential statistics?
Signup and view all the answers
In the research process, what is the second step after initial observation?
In the research process, what is the second step after initial observation?
Signup and view all the answers
What differentiates a sample from a population in research?
What differentiates a sample from a population in research?
Signup and view all the answers
Which of the following correctly defines an independent variable?
Which of the following correctly defines an independent variable?
Signup and view all the answers
Which statement about dependent variables is true?
Which statement about dependent variables is true?
Signup and view all the answers
What is an example of confounding in research?
What is an example of confounding in research?
Signup and view all the answers
In the hypothesis testing process, which step comes after generating theories?
In the hypothesis testing process, which step comes after generating theories?
Signup and view all the answers
What characterizes ratio variables?
What characterizes ratio variables?
Signup and view all the answers
What is measurement error?
What is measurement error?
Signup and view all the answers
Which concept directly refers to an instrument's ability to measure what it was intended to measure?
Which concept directly refers to an instrument's ability to measure what it was intended to measure?
Signup and view all the answers
What does reliability in measurement indicate?
What does reliability in measurement indicate?
Signup and view all the answers
How do social scientists primarily test their hypotheses?
How do social scientists primarily test their hypotheses?
Signup and view all the answers
What is the purpose of operational definitions in research?
What is the purpose of operational definitions in research?
Signup and view all the answers
Why is validity considered a necessary condition of a measure?
Why is validity considered a necessary condition of a measure?
Signup and view all the answers
What is an example of a ratio variable?
What is an example of a ratio variable?
Signup and view all the answers
Study Notes
Introduction to Statistics & Research Design
- The study covers two branches of statistics: descriptive and inferential.
- Descriptive statistics organize, summarize, and communicate numerical observations.
- Descriptive statistics describe large amounts of data using a small number of representative values. For example, average weight.
- Inferential statistics use sample data to make estimations about a larger population. This means an intelligent guess about the population. For example, the CDC's study of a segment of the US population to estimate the entire population.
- A sample is a subset of observations drawn from the population of interest.
- A population includes all possible observations about which knowledge is wanted.
The Research Process
- The research process involves the following steps:
- Initial Observation/Research Question
- Generate Theory
- Generate Hypotheses
- Collect Data to Test Theory
- Analyze Data
- Identifying Variables is a crucial step in the research process.
Variables
- An independent variable has at least two levels and is either manipulated or observed to determine its impact on the dependent variable.
- A dependent variable is the outcome, which is hypothesized to be related or caused by the independent variable.
- A confounding variable systematically varies with the independent variable, making it hard to determine which variable is at play. In experimental work, the independent variable is a predictor, and the dependent variable is the outcome.
Types of Variables
- Continuous variables can take a wide range of values (e.g., height, weight).
- Discrete variables can only take specific values (e.g., gender, number of times).
- Nominal variables are categories with names as their values (e.g., gender, ethnicity).
- Ordinal variables have rankings as values (e.g., first, second, third).
- Interval variables have values with equal intervals but don't have a meaningful zero point (e.g., temperature, SAT scores).
- Ratio variables have equal intervals and a meaningful zero point (e.g., height, weight).
Measurement Error
- Measurement error is the discrepancy between the measured value and the true value.
- Errors can occur due to limitations of measurement tools or influences.
Reliability and Validity
- Reliability refers to the consistency of a measure.
- Validity refers to whether an instrument measures what it's designed to measure.
- A measure must first be reliable to be valid.
Hypothesis Testing
- Hypothesis testing is a structured process for evaluating ideas about phenomena.
- Researchers use data from samples to draw inferences about populations.
- Operational definitions specify the operations or procedures for measuring a variable.
Data Collection Research Methods
- Correlational research examines relationships between variables without manipulation.
- Experimental research manipulates one variable to observe its effect on another.
Example: Correlation between Aggression and Video Games
- A graph shows a presumed positive relationship between hours spent playing video games and aggression.
Within-Groups Research Design
- In a within-groups design, participants experience all levels of the independent variable.
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.
Related Documents
Description
This quiz covers the fundamentals of statistics, focusing on both descriptive and inferential branches. It explores key concepts such as organization of data, sample populations, and the research process from observation to data analysis. Test your understanding of statistical methods and research design principles.