Political Science 30: Political Inquiry Section 1

Similar documents
What is Data? Part 2: Patterns & Associations. INFO-1301, Quantitative Reasoning 1 University of Colorado Boulder

Theory Building and Hypothesis Testing. POLI 205 Doing Research in Politics. Theory. Building. Hypotheses. Testing. Fall 2015

Causality and Treatment Effects

Research in the Social Sciences. Saturday, February 3, 18

Introduction to the Scientific Method. Knowledge and Methods. Methods for gathering knowledge. method of obstinacy

Political Science 15, Winter 2014 Final Review

Essential Question: How do we incorporate good experimental design in investigations? Experiments

AIM #4: DEFINE SCIENCE AND EXPLAIN THE PROCESS OF THE SCIENTIFIC METHOD

Lecture 5: Scientific Method, Wicked Problems. Joey Huddleston (for Benjamin Graham)

CS 520 Theory and Practice of Software Engineering Fall 2017

Relationship, Correlation, & Causation DR. MIKE MARRAPODI

III. WHAT ANSWERS DO YOU EXPECT?

Constructing a Bivariate Table: Introduction. Chapter 10: Relationships Between Two Variables. Constructing a Bivariate Table. Column Percentages

UNIT. Experiments and the Common Cold. Biology. Unit Description. Unit Requirements

Science, Society, and Social Research (1) Benjamin Graham

WRITTEN ASSIGNMENT 1 (8%)

Name: Open binders and StatCrunch are allowed. For each problem marked with a, follow these directions:

6/20/18. Prac+cum #1 Wednesday 6/27. Lecture Ques+on. Quick review. Establishing Causality. Causality

Constructing a Bivariate Table:

Lecture Preview Psychology: From Inquiry to Understanding 2/e. The Need for Good Research Design. The Need for Good Research Design

Quantitative Analysis and Empirical Methods

Advocacy Impact: How to get started. Growing a Grassroots Network. HCBS Conference Sept. 13, 2011

POLI 100M: Poli-cal Psychology. Lecture 3: Poli-cal Par-cipa-on and Vo-ng Taylor N. Carlson

Audio: In this lecture we are going to address psychology as a science. Slide #2

PSYC1024 Clinical Perspectives on Anxiety, Mood and Stress

Handout: Instructions for 1-page proposal (including a sample)

A STARTER BOOK OF CAMPAIGN TEMPLATES

Stop Smoking Start Living

lab exam lab exam Experimental Design Experimental Design when: Nov 27 - Dec 1 format: length = 1 hour each lab section divided in two

CRIJ 3305 PERSPECTIVES ON CRIME IN AMERICA (Second 8-Week On-line Version) Fall 2017

Biostatistics and Design of Experiments Prof. Mukesh Doble Department of Biotechnology Indian Institute of Technology, Madras

t-test for r Copyright 2000 Tom Malloy. All rights reserved

Lecture 11: Measurement to Hypotheses. Benjamin Graham

Breaking Through the Breakthrough Myth

Find your Working Group! See Connect for your group number.

15.301/310, Managerial Psychology Prof. Dan Ariely Lecture 2: The Validity of Intuitions

Geographic Data Science - Lecture IX

University of Oxford Intermediate Social Statistics: Lecture One

(CORRELATIONAL DESIGN AND COMPARATIVE DESIGN)

Living Beyond Breast Cancer s Reach & Raise About Living Beyond Breast Cancer Breast Cancer Facts

CAPL 2 Questionnaire

Research Design. ESP178 Research Methods Dr. Susan Handy 1/19/16

[POLS 4150] R, Randomization and Sampling

NATURE OF SCIENCE. Professor Andrea Garrison Biology 3A

Statistical method analyzing the effects of interventions

Quantitative research Methods. Tiny Jaarsma

NO MORE OVER-THE-COUNTER CODEINE

1. Work on heart health 2. Go nuts about nutrition 3. Have fun with fitness 4. Share your knowledge 5. Be a girl of service

Further Mathematics 2018 CORE: Data analysis Chapter 3 Investigating associations between two variables

Research Design. ESP 178 Applied Research Methods Calvin Thigpen 1/19/17

Quantitative research Methods. Tiny Jaarsma

LA SIERRA UNIVERSITY Department of Health and Exercise Science Fall 2011

Observations & Data! Biology = the Study of Life. ! Data = Recorded Observations. ! Scientific instruments

Validity refers to the accuracy of a measure. A measurement is valid when it measures what it is suppose to measure and performs the functions that

Midterm project due next Wednesday at 2 PM

Quantitative Analysis

Cancer and Relationships

Chapter 11 Nonexperimental Quantitative Research Steps in Nonexperimental Research

Lesson 1 Understanding Science

Choosing an Approach for a Quantitative Dissertation: Strategies for Various Variable Types

DEPARTMENT OF POLITICAL SCIENCE AND INTERNATIONAL RELATIONS Research Methods Posc 302 ANALYSIS OF SURVEY DATA

Response to the ASA s statement on p-values: context, process, and purpose

CASPER COLLEGE COURSE SYLLABUS Intermediate Sign Language ASL Lecture Hours: 4 Lab Hours: 0 Credit Hours: 4

SYLLABUS Psychology 370 Research in Personality

Interactions between predictors and two-factor ANOVA

JUST THE FACTS: Physical Injury Dealing with Others

CHIP-2. 12/Feb/2013. Part 0: Concepts and history in psychology. Recap of lecture 1. What kinds of data must psychology explain?

Day Seven: Helping HIV Affected Children and Orphans

The Psychology of Denial

York University Faculty of Health School of Kinesiology and Health Science

WAIDE Youth Advisory Council (YAC) Kathryn Monaco (Ed & Dev Psychologist) Steve Watson (Principal) WA Institute for Deaf Education 2012

PHILOSOPHY OF ECONOMICS & POLITICS

Threats to Validity in Experiments. The John Henry Effect

Reframing I can t do it

CHIP-2. 7/Oct/2013. Part 0: Concepts and history in psychology. Recap of lecture 1. Preferring theories that address all 3 kinds of data

Secrets to the Body of Your Life in 2017

Lecture 3. Previous lecture. Learning outcomes of lecture 3. Today. Trustworthiness in Fixed Design Research. Class question - Causality

What Causes war? C h. 1 : T e r m i n o l o g y & Methodology. Notes by Denis Bašić

Process of Designing & Implementing a Research Project

POLI 343 Introduction to Political Research

Chapter 1. Research : A way of thinking

DAY 2 RESULTS WORKSHOP 7 KEYS TO C HANGING A NYTHING IN Y OUR LIFE TODAY!

Validity and Quantitative Research. What is Validity? What is Validity Cont. RCS /16/04

Honors Biology Chapter 2. The Science of Biology

What is Self-Esteem? Why is it Important? Where Does Self-Esteem Come From? How Can You Boost Self-Esteem?

Medical Disclaimer. Quick Start Guide. Bikini Belly Diet

I Feel: Stressed Lesson Plan

Thank you. Fundraising checklist. Meet Calum

Designing Experiments. Scientific Method Review Parts of a Controlled Experiment Writing Hypotheses

15.301/310, Managerial Psychology Prof. Dan Ariely Recitation 8: T test and ANOVA

Chapter 1. Research : A way of thinking

CHAPTER 2 SOCIOLOGICAL RESEARCH METHODS

Introduction to Multilevel Models for Longitudinal and Repeated Measures Data

Lesson 8 STD & Responsible Actions

Transforming Public Speaking Anxiety Workbook

Research Beginnings: Picking a Topic and Mentor

Autism, my sibling, and me

STAR MODULE 3C PROCRASTINATION, SOCIAL MEDIA & TIME MANAGEMENT

Hello and welcome to Patient Power sponsored by UCSF Medical Center. I m Andrew Schorr.

Transcription:

Political Science 30: Political Inquiry Section 1 Taylor Carlson tncarlson@ucsd.edu January 10, 2019 Carlson POLI 30-Section 1 January 10, 2019 1 / 16

Learning Outcomes By the end of section today, you should: Understand key concepts from lecture: Independent Variable Dependent Variable Confounding Variable Be able to evaluate whether hypotheses meet the criteria to be good hypotheses and write your own Carlson POLI 30-Section 1 January 10, 2019 2 / 16

Plan for the Day Introduce ourselves Go over section participation expectations Answer questions from lecture this week Dig in! Carlson POLI 30-Section 1 January 10, 2019 3 / 16

A Little About Me Carlson POLI 30-Section 1 January 10, 2019 4 / 16

A Little About Me 5th year in the program, PhD candidate, professor at WUSTL in the fall Focus Areas: American Politics and Methodology Dissertation: How does information get distorted as it diffuses from the media to the masses? How does this distorted information impact political behavior? Carlson POLI 30-Section 1 January 10, 2019 4 / 16

A Little About Me 5th year in the program, PhD candidate, professor at WUSTL in the fall Focus Areas: American Politics and Methodology Dissertation: How does information get distorted as it diffuses from the media to the masses? How does this distorted information impact political behavior? I love teaching! Carlson POLI 30-Section 1 January 10, 2019 4 / 16

A Little About Me 5th year in the program, PhD candidate, professor at WUSTL in the fall Focus Areas: American Politics and Methodology Dissertation: How does information get distorted as it diffuses from the media to the masses? How does this distorted information impact political behavior? I love teaching! Before UCSD Carlson POLI 30-Section 1 January 10, 2019 4 / 16

A Little About Me 5th year in the program, PhD candidate, professor at WUSTL in the fall Focus Areas: American Politics and Methodology Dissertation: How does information get distorted as it diffuses from the media to the masses? How does this distorted information impact political behavior? I love teaching! Before UCSD Home: Minnesota Carlson POLI 30-Section 1 January 10, 2019 4 / 16

A Little About Me 5th year in the program, PhD candidate, professor at WUSTL in the fall Focus Areas: American Politics and Methodology Dissertation: How does information get distorted as it diffuses from the media to the masses? How does this distorted information impact political behavior? I love teaching! Before UCSD Home: Minnesota (Go Vikings!) Carlson POLI 30-Section 1 January 10, 2019 4 / 16

A Little About Me 5th year in the program, PhD candidate, professor at WUSTL in the fall Focus Areas: American Politics and Methodology Dissertation: How does information get distorted as it diffuses from the media to the masses? How does this distorted information impact political behavior? I love teaching! Before UCSD Home: Minnesota (Go Vikings!) College: College of William & Mary in Virginia Carlson POLI 30-Section 1 January 10, 2019 4 / 16

A Little About Me 5th year in the program, PhD candidate, professor at WUSTL in the fall Focus Areas: American Politics and Methodology Dissertation: How does information get distorted as it diffuses from the media to the masses? How does this distorted information impact political behavior? I love teaching! Before UCSD Home: Minnesota (Go Vikings!) College: College of William & Mary in Virginia Contact Information: Email: tncarlson@ucsd.edu Office Hours: Thursdays 9am-11am in SSB 341, or by appointment Discussion Section slides and materials can be found at http://pages.ucsd.edu/~tfeenstr/ Carlson POLI 30-Section 1 January 10, 2019 4 / 16

Getting to Know You: Please take out a piece of paper and write the following: Name (and preferred name you go by) Fun fact about yourself 1 thing you are looking forward to in this class 1 thing you are nervous about in this class 1 thing that I can do to be helpful to you and your learning Carlson POLI 30-Section 1 January 10, 2019 5 / 16

Discussion Section Format and Expectations Section participation is required and accounts for 10% of your course grade Carlson POLI 30-Section 1 January 10, 2019 6 / 16

Discussion Section Format and Expectations Section participation is required and accounts for 10% of your course grade Attendance taken every week with check ins that you ll turn in (bring paper!) Carlson POLI 30-Section 1 January 10, 2019 6 / 16

Discussion Section Format and Expectations Section participation is required and accounts for 10% of your course grade Attendance taken every week with check ins that you ll turn in (bring paper!) Review concepts from lecture, give additional examples, practice problems, help learning Stata Large group (whole class) discussions Small group discussions with the people around you Small group activities Carlson POLI 30-Section 1 January 10, 2019 6 / 16

General Advice for POLI 30 Carlson POLI 30-Section 1 January 10, 2019 7 / 16

General Advice for POLI 30 Don t give up! Inspiration: Minneapolis Miracle: Keenum to Diggs; Bruno Mars: Don t Give Up; Michael Scott Carlson POLI 30-Section 1 January 10, 2019 7 / 16

General Advice for POLI 30 Don t give up! Inspiration: Minneapolis Miracle: Keenum to Diggs; Bruno Mars: Don t Give Up; Michael Scott Come to lecture very interactive, take notes on the discussions and examples Come to section Carlson POLI 30-Section 1 January 10, 2019 7 / 16

General Advice for POLI 30 Don t give up! Inspiration: Minneapolis Miracle: Keenum to Diggs; Bruno Mars: Don t Give Up; Michael Scott Come to lecture very interactive, take notes on the discussions and examples Come to section Practice! Carlson POLI 30-Section 1 January 10, 2019 7 / 16

General Advice for POLI 30 Don t give up! Inspiration: Minneapolis Miracle: Keenum to Diggs; Bruno Mars: Don t Give Up; Michael Scott Come to lecture very interactive, take notes on the discussions and examples Come to section Practice! Odd problems in the textbook (answers in the back) Examples from section and lecture Carlson POLI 30-Section 1 January 10, 2019 7 / 16

General Advice for POLI 30 Don t give up! Inspiration: Minneapolis Miracle: Keenum to Diggs; Bruno Mars: Don t Give Up; Michael Scott Come to lecture very interactive, take notes on the discussions and examples Come to section Practice! Odd problems in the textbook (answers in the back) Examples from section and lecture Come to office hours sooner rather than later There are office hours every day of the week you can go to any TA or Prof. Desposato Post on the discussion forum! Carlson POLI 30-Section 1 January 10, 2019 7 / 16

Questions?? What questions do you have from lecture this week? Carlson POLI 30-Section 1 January 10, 2019 8 / 16

Hypothesis Recap Hypothesis: A testable statement about the empirical relationship between an independent variable and a dependent variable Carlson POLI 30-Section 1 January 10, 2019 9 / 16

Hypothesis Recap Hypothesis: A testable statement about the empirical relationship between an independent variable and a dependent variable (our guesses about how two things are related) Carlson POLI 30-Section 1 January 10, 2019 9 / 16

Hypothesis Recap Hypothesis: A testable statement about the empirical relationship between an independent variable and a dependent variable (our guesses about how two things are related) Independent Variable Dependent Variable Carlson POLI 30-Section 1 January 10, 2019 9 / 16

Hypothesis Recap Hypothesis: A testable statement about the empirical relationship between an independent variable and a dependent variable (our guesses about how two things are related) Independent Variable Dependent Variable Good Hypothesis Checklist: Falsifiable Carlson POLI 30-Section 1 January 10, 2019 9 / 16

Hypothesis Recap Hypothesis: A testable statement about the empirical relationship between an independent variable and a dependent variable (our guesses about how two things are related) Independent Variable Dependent Variable Good Hypothesis Checklist: Falsifiable (can be proven wrong) Carlson POLI 30-Section 1 January 10, 2019 9 / 16

Hypothesis Recap Hypothesis: A testable statement about the empirical relationship between an independent variable and a dependent variable (our guesses about how two things are related) Independent Variable Dependent Variable Good Hypothesis Checklist: Falsifiable (can be proven wrong) Ties variance in cause to variance in effect Carlson POLI 30-Section 1 January 10, 2019 9 / 16

Hypothesis Recap Hypothesis: A testable statement about the empirical relationship between an independent variable and a dependent variable (our guesses about how two things are related) Independent Variable Dependent Variable Good Hypothesis Checklist: Falsifiable (can be proven wrong) Ties variance in cause to variance in effect General Carlson POLI 30-Section 1 January 10, 2019 9 / 16

Hypothesis Practice: Together The lower the overall level of crime, the more likely a country will be democratic. Carlson POLI 30-Section 1 January 10, 2019 10 / 16

Hypothesis Practice: Together The lower the overall level of crime, the more likely a country will be democratic. What is the IV? What is the DV? Carlson POLI 30-Section 1 January 10, 2019 10 / 16

Hypothesis Practice: Together The lower the overall level of crime, the more likely a country will be democratic. What is the IV? What is the DV? Is it falsifiable? Does it tie variance in cause to variance in effect? Is it general? Carlson POLI 30-Section 1 January 10, 2019 10 / 16

Hypothesis Practice: Together The lower the overall level of crime, the more likely a country will be democratic. What is the IV? What is the DV? Is it falsifiable? Does it tie variance in cause to variance in effect? Is it general? How would you make it better? Carlson POLI 30-Section 1 January 10, 2019 10 / 16

Hypothesis Practice: In Groups Hypothesis: Age and voter turnout are related What is the IV? What is the DV? Carlson POLI 30-Section 1 January 10, 2019 11 / 16

Hypothesis Practice: In Groups Hypothesis: Age and voter turnout are related What is the IV? What is the DV? Is it falsifiable? Does it tie variance in cause to variance in effect? Is it general? Carlson POLI 30-Section 1 January 10, 2019 11 / 16

Hypothesis Practice: In Groups Hypothesis: Age and voter turnout are related What is the IV? What is the DV? Is it falsifiable? Does it tie variance in cause to variance in effect? Is it general? How would you make it better? Carlson POLI 30-Section 1 January 10, 2019 11 / 16

Questions? What questions do you have? Carlson POLI 30-Section 1 January 10, 2019 12 / 16

Causality We want to make causal claims... Carlson POLI 30-Section 1 January 10, 2019 13 / 16

Causality We want to make causal claims... But it s hard Carlson POLI 30-Section 1 January 10, 2019 13 / 16

Confounds and Spurious Relationships Three criteria for a confound Causes changes in the DV Is correlated with the IV Is causally prior to the IV Carlson POLI 30-Section 1 January 10, 2019 14 / 16

Confounds and Spurious Relationships Three criteria for a confound Causes changes in the DV Is correlated with the IV Is causally prior to the IV Examples of Confounds: Do ice cream sales cause shark attacks? Carlson POLI 30-Section 1 January 10, 2019 14 / 16

Confounds and Spurious Relationships Three criteria for a confound Causes changes in the DV Is correlated with the IV Is causally prior to the IV Examples of Confounds: Do ice cream sales cause shark attacks? IV: Carlson POLI 30-Section 1 January 10, 2019 14 / 16

Confounds and Spurious Relationships Three criteria for a confound Causes changes in the DV Is correlated with the IV Is causally prior to the IV Examples of Confounds: Do ice cream sales cause shark attacks? IV: Ice cream sales Carlson POLI 30-Section 1 January 10, 2019 14 / 16

Confounds and Spurious Relationships Three criteria for a confound Causes changes in the DV Is correlated with the IV Is causally prior to the IV Examples of Confounds: Do ice cream sales cause shark attacks? IV: Ice cream sales DV: Carlson POLI 30-Section 1 January 10, 2019 14 / 16

Confounds and Spurious Relationships Three criteria for a confound Causes changes in the DV Is correlated with the IV Is causally prior to the IV Examples of Confounds: Do ice cream sales cause shark attacks? IV: Ice cream sales DV: Shark attacks Carlson POLI 30-Section 1 January 10, 2019 14 / 16

Confounds and Spurious Relationships Three criteria for a confound Causes changes in the DV Is correlated with the IV Is causally prior to the IV Examples of Confounds: Do ice cream sales cause shark attacks? IV: Ice cream sales DV: Shark attacks Confound? Carlson POLI 30-Section 1 January 10, 2019 14 / 16

Confounds and Spurious Relationships Three criteria for a confound Causes changes in the DV Is correlated with the IV Is causally prior to the IV Examples of Confounds: Do ice cream sales cause shark attacks? IV: Ice cream sales DV: Shark attacks Confound? Weather! Carlson POLI 30-Section 1 January 10, 2019 14 / 16

Confounds and Spurious Relationships Three criteria for a confound Causes changes in the DV Is correlated with the IV Is causally prior to the IV Examples of Confounds: Do ice cream sales cause shark attacks? IV: Ice cream sales DV: Shark attacks Confound? Weather! Carlson POLI 30-Section 1 January 10, 2019 14 / 16

Confounds and Spurious Relationships Practice exercises available at pages.ucsd.edu/~tfeenstr/ Maybe a quiz?? Carlson POLI 30-Section 1 January 10, 2019 15 / 16

Theories Hypotheses Codebooks? Once you have your hypothesis, you need to find some data Identify your IV and DV Read the dataset s codebook to find a variable that is as close to your IV and DV as possible Carlson POLI 30-Section 1 January 10, 2019 16 / 16