QS 101 Introduction to Quantitative Methods in Social

Your Teaching Team Florian Reiche Stella Chatzitheochari

Module Outline Week Topic 1 Intro 2 The Importance of Quantitative Research 3 Conceptualisation,

Module Outline (contd. ) Week Topic 11 z-tests, t-tests, confidence intervals 12 Two Sample

Module Outline (contd. ) Week Topic 21 Regression: The Background 22 The Critique of

Seminars Week Topic 1 (no seminar) 2 Preparation of Field Work 3 Field Work

Seminars (contd. ) Week Topic 11 Core Numeracy 12 Introduction to the BSA 13

Seminars (contd. ) Week Topic 21 Working with data 7 22 The Critique of

Introduction to Moodle • Main Resource for the module – moodle. warwick. ac. uk

Assessments • • Two assessments, each 50% In term 1 and 2 Format: 2500

Homework for week 2 • Look at Moodle – Do at least one of

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QS 101 – Introduction to Quantitative Methods in Social Science Week 1: Introduction to the Module Florian Reiche Teaching Fellow in Quantitative Methods Course Director, BA Politics and Sociology F. Reiche@warwick. ac. uk

Welcome to Warwick!

Your Teaching Team Florian Reiche Stella Chatzitheochari

Lectures and Seminars

Introduction

Module Outline Week Topic 1 Intro 2 The Importance of Quantitative Research 3 Conceptualisation, Operationalisation, Measurement 4 Validity, Reliability, and Exploring Single Variables 5 Levels of Measurement and Distributions 6 Reading Week 7 Basics of Probability 8 Sampling and Sampling Distributions 1 9 Sampling and Sampling Distributions 2 10 Basics of Statistical Inference

Module Outline (contd. ) Week Topic 11 z-tests, t-tests, confidence intervals 12 Two Sample t-tests and non-parametric equivalents 13 Cross-tabulations and chi-square 14 Good practice in presenting and graphing data 15 Measures of Association: Correlation etc. 16 Reading Week 17 Regression – Preliminaries: ANOVA 18 Linear Regression: The Intuition 19 The Basics of Multiple Regression 20 Regression: Assumptions

Module Outline (contd. ) Week Topic 21 Regression: The Background 22 The Critique of Quantitative Research

Seminars Week Topic 1 (no seminar) 2 Preparation of Field Work 3 Field Work on Campus 4 Building Our Data Set 5 Stata Session: Our University 6 Reading Week 7 The Lottery 8 Use and Abuse of Numbers in the Media 9 Inequality 10 Democracy

Seminars (contd. ) Week Topic 11 Core Numeracy 12 Introduction to the BSA 13 Working with data 1 14 Working with data 2 15 Working with data 3 16 Reading Week 17 Working with data 4 18 Working with data 5 19 Working with data 6 20 Exploring Assumptions

Seminars (contd. ) Week Topic 21 Working with data 7 22 The Critique of Quantitative Research

Introduction to Moodle • Main Resource for the module – moodle. warwick. ac. uk • Check moodle regularly for updates

Assessments • • Two assessments, each 50% In term 1 and 2 Format: 2500 word report First: Conceptualisation and Operationalisation, Exploration of variables • Second: tbc

Why bother?

Example

Any Questions?

Homework for week 2 • Look at Moodle – Do at least one of the core readings – There is a link to a rather inspirational film on there, too. – Have a look at the first two chapters of the Acock book to be prepared for the introduction to Stata.