Political Science 30: Political Inquiry

Slides:



Advertisements
Similar presentations
Chapter 7: Data for Decisions Lesson Plan
Advertisements

Drawing Samples in “Observational Studies” Sample vs. the Population How to Draw a Random Sample What Determines the “Margin of Error” of a Poll?
SamplingSampling. Samples and populations Sample: –the participants actually included in a study Population: –the larger group from which the sample is.
AP Statistics Section 13.2 A
4.2 Statistics Notes What are Good Ways and Bad Ways to Sample?
AP Statistics Section 5.1 Designing Samples. In an observational study, we simply observe individuals and measure variables, but we do not attempt to.
Copyright © 2009 Pearson Education, Inc. Publishing as Longman. The 1936 Literary Digest Presidential Election Poll Case Study: Special Topic Lecture Chapter.
Statistics: Concepts and Controversies What Is a Confidence Interval?
Political Science 30: Political Inquiry Drawing a Good Sample.
Homework Read pages Page 467: 1 – 16, 29 – 34, 37, 38, 59.
Chapter 12 Designing Good Samples. Doubting the Holocaust? An opinion poll conducted in 1992 for the American Jewish Committee asked: Does it seem possible.
DATA COLLECTION METHODS Sampling
Sampling Design Notes Pre-College Math.
Chapter 7: Data for Decisions Lesson Plan Sampling Bad Sampling Methods Simple Random Samples Cautions About Sample Surveys Experiments Thinking About.
Agresti/Franklin Statistics, 1 of 33 Chapter 1 Statistics: The Art and Science of Learning from Data Learn …. What Statistics Is Why Statistics Is Important.
The Language of Sampling Lecture 6 Sections 2.1 – 2.4 Fri, Jan 26, 2007.
Unit 7: Producing Data Mr. Evans Statistics Part 2.
Chapter 7 Data for Decisions. Population vs Sample A Population in a statistical study is the entire group of individuals about which we want information.
The Language of Sampling Lecture 6 Sections 2.1 – 2.4 Fri, Aug 31, 2007.
Bias in Survey Sampling. Bias Due to Unrepresentative Samples A good sample is representative. This means that each sample point represents the attributes.
Plan for Today: Chapter 1: Where Do Data Come From? Chapter 2: Samples, Good and Bad Chapter 3: What Do Samples Tell US? Chapter 4: Sample Surveys in the.
Sampling Chapter 5. Introduction Sampling The process of drawing a number of individual cases from a larger population A way to learn about a larger population.
Political Science 30: Political Inquiry. The Magic of the Normal Curve Normal Curves (Essentials, pp ) The family of normal curves The rule of.
 A popular magazine that began presidential public opinion polls in 1916  One of the first public opinion polls in the US  Was hailed as “amazing right”
 Confidence Intervals  Around a proportion  Significance Tests  Not Every Difference Counts  Difference in Proportions  Difference in Means.
Collecting Data Backbone of Statistics. It’s all about the Vocabulary!  Population: the entire group that we are interested in  Sample: some.
Data to be released after chamber annual meeting and Methodology Statement.
Chapter 12 Sample Surveys.
Sources of Error In Sampling
Sampling Methods Topic 4.
CHAPTER 8 Estimating with Confidence
Stat 100 Jan. 21 Read Chapter 4, Try problems 1,2, 5,7,9,14,15,17
Essential Statistics Producing Data: Sampling
Sampling Why use sampling? Terms and definitions
Sampling.
Chapter 10 Samples.
The Language of Sampling
Ch. 9: Survey Research and Subject Recruitment
Confidence Intervals: Sampling Distribution
Bias On-Level Statistics.
Sampling Bias Terminology
Producing Data: Sampling
Inference for Sampling
Chapter 4 Sampling Design.
Chapter 12 part 1 Sample surveys.
Wednesday, October 19, 2016 Warm-up
Statistics! Unit 8 Day 1.
Information from Samples
Chapter 7 Special Topics
Variables and Measurement (2.1)
Select and draw conclusions from samples
Lesson#1 Gathering Data
The Population vs. The Sample
6.4 Select and Draw Conclusions from Samples
Sample Surveys in the Real World
Chapter 1 Statistics: The Art and Science of Learning from Data
Political Science 30 Political Inquiry
Essential Statistics Producing Data: Sampling
Chapter 7: Sampling Distributions
The Language of Sampling
MATH 2311 Section 6.1.
Pull 2 samples of 10 pennies and record both averages (2 dots).
Chapter 2.1 Research Methods
Basic Practice of Statistics - 5th Edition Producing Data: Sampling
Chapter 4: Designing Studies
Sampling Method.
Modular 2.
COLLECTING STATISTICAL DATA
MATH 2311 Section 6.1.
Warm-Up Honors Algebra /11/19
Presentation transcript:

Political Science 30: Political Inquiry Drawing a Good Sample Political Science 30: Political Inquiry

Drawing a Good Sample Random Sampling Margin of Error Nonrandom methods of drawing a sample or HOW NOT TO DO A POLL Convenience sample Voluntary response sample

How to Draw a Random Sample WARNING! Random sampling and random assignment are different! Random sampling selects which cases in your population you will study. Random assignment starts with a sample, then divides it into two or more groups. Observational studies may use random sampling, but not random assignment, and this hurts their internal validity.

How to Draw a Random Sample Sampling bias is consistent deviation of the sample statistic from the parameter Sampling variability describes how far apart statistics are over many samples.

What Determines the“Margin of Error” of a Poll? If we have drawn a truly random sample: Sample Proportion = Population Proportion + Random Error

What Determines the “Margin of Error” of a Poll? The margin of error is calculated by:

What Determines the “Margin of Error” of a Poll? In a poll of 505 likely voters, the Field Poll found 55% support for the recall.

What Determines the “Margin of Error” of a Poll? The margin of error for this poll was plus or minus 4.4 percentage points. This means that if we took many samples using the Field Poll’s methods, 95% of the samples would yield a statistic within plus or minus 4.4 percentage points of the true population parameter.

Nonrandom methods of drawing a sample (Note: These are Bad!) A voluntary response sample includes the members of the population who voice their desire to be included in the sample. 1936 “Literary Digest Poll” mailed 10 million ballots to magazine readers to volunteer participate in their Presidential election survey. 2 million surveys came back, predicting that FDR would lose 43%-57%. FDR won, 61%-39%.

Nonrandom methods of drawing a sample (Note: These are Bad!) A convenience sample studies the segment of the population that is easiest for the researcher to reach. Polls only of people who have telephones. (Less of a problem than it used to be). Studies by college students of their dormmates. Internet polls at www.foxnews.com or www.sierraclub.org

Example: Internet Polls Some internet polls ask the opinions of those who have logged on to: www.foxnews.com www.uclabruins.com www.peetscoffee.com www.pabst.com www.sfgate.com www.rogaine.com More professional internet polls advertise with banners on a variety of web sites to recruit people into their sample.

Example: Internet Polls “Knowledge Networks” is an internet-administered survey that recruited its sample by using random digit dialing. To give those without an internet connection the chance to participate, they offered a free “Web TV” console to participants. Those in the 50,000 person sample are given the chance to participate in polls about subjects like hard liquor or politics.

Surveys of a Sub-Population Many researchers do not want to generalize to the population of“all Americans.” They begin by defining the population that they want to study, such as “likely voters,” “Asian-Americans voters,” or “Lesbian, Gay, Bisexual, and Transgendered California adults.”

Surveys of a Sub-Population Option #1. Take a random sample of the entire population, ask the respondent if he or she fits into the category, and then continue the interview if you find a match Option #2. Begin with a list that approximates the entire subpopulation (registered voters with Asian surnames) and then take a random sample.