Week 6 Flashcards
(16 cards)
population
the entire set of individuals in which the study findings are to be generalized; a group that cannot be assessed directly
sample
the selected group of participants to be observed that is meant to be representative of the population
sampling frame
a list where you draw your sample from (i.e. class roster, magazine, neighborhoods in a city, etc.)
representativeness
a sample that closely relates to the population of interest in a study
sampling error
the degree of error to be expected of a given sample design
EPSEM
equal probability of selection methods; sample design in which each member of a population has the same chance of being selected for a sample
random selection
each member of the population has the same chance of being sampled; specific characteristics do not impact selections
what is the most important thing when determining a sample size?
the greater the size of the sample, the more representative the sample is of the population
What was the prediction of the Literary Digest in the 1936 presidential election?
Alf Landon would defeat President Franklin D. Roosevelt in the 1936 presidential election, but they were wrong due to overrepresentation of wealthy voters in their poll
What mistake was made in the polling of the 1948 presidential election?
polls predicted Thomas Dewey would win, but the incorrect predictions were based on outdated or incomplete data, and Dewey ultimately lost to Truman
sampling coverage
must make sure that samples allow us to answer research questions and hypotheses
simple random sampling
probability sample in which each individual has the same probability of being selected
cluster (aka multi-stage) sampling
researchers divide up target population into groups or “clusters” that are selected at random, then individuals within these clusters are randomly selected
stratified sampling
population is divided into groups or “strata” and sample members are selected in strategic proportions from each strata
convenience sampling
sampling elements of a population that are available at a given moment or who volunteer for a study
quota sampling
researchers specify a particular number of participants that meet a specific characteristic or set of characteristics important to the study