Research Design
formal plan for gathering and analyzing data
Independent variables (IV)
Antecedent variables and affect other variables
* Aka, “X” variable, predictor variable
Measurement scales
Types of Statistics
Descriptive Statistics
Summarize the characteristics of a data set
Inferential Statistics
Analyze the larger group (i.e., population) through the smaller group’s (i.e., sample) characteristics to draw inferences about the population
give an example of inferential statistics
Examples:
* How does a good kindergarten classroom affect children’s life outcome?
* Do students of the same aptitude perform the same on all test questions? Are some
questions more difficult for certain groups of students?
give an example of descriptive statistics
Population
all members of a defined group
Population includes all individuals or objects of interest
μ (“mu”)
represents mean of some characteristic in a population
* Example: Coffee consumption of Americans (American population =
329.5 million in 2020)
* Mean of coffee consumption, μ = 3 cups a da
Sample
any subset of a population
Sample is all cases that we have collected data on (a subset of the population)
Example: random sample of 1,000 college students
* Mean of coffee consumption, M = 4 cups a day
M
mean of a sample
Statistical inference
is the process of using data from a sample to gain
info about the population