SOC 320 Quantitative Research Methods

Similar documents
Sociology 521: Social Statistics and Quantitative Methods I Spring Wed. 2 5, Kap 305 Computer Lab. Course Website

Sociology 521: Social Statistics and Quantitative Methods I Spring 2013 Mondays 2 5pm Kap 305 Computer Lab. Course Website

COURSE SYNOPSIS COURSE OBJECTIVES. UNIVERSITI SAINS MALAYSIA School of Management

STA 225: Introductory Statistics (CT)

Research Design & Analysis Made Easy! Brainstorming Worksheet

ATW 202. Business Research Methods

Probability and Statistics Curriculum Pacing Guide

Algebra 1, Quarter 3, Unit 3.1. Line of Best Fit. Overview

Practical Research. Planning and Design. Paul D. Leedy. Jeanne Ellis Ormrod. Upper Saddle River, New Jersey Columbus, Ohio

S T A T 251 C o u r s e S y l l a b u s I n t r o d u c t i o n t o p r o b a b i l i t y

Ryerson University Sociology SOC 483: Advanced Research and Statistics

Office Hours: Mon & Fri 10:00-12:00. Course Description

State University of New York at Buffalo INTRODUCTION TO STATISTICS PSC 408 Fall 2015 M,W,F 1-1:50 NSC 210

Instructor: Mario D. Garrett, Ph.D. Phone: Office: Hepner Hall (HH) 100

Revision activity booklet for Paper 1. Topic 1 Studying society

A. What is research? B. Types of research

The lab is designed to remind you how to work with scientific data (including dealing with uncertainty) and to review experimental design.

Enhancing Students Understanding Statistics with TinkerPlots: Problem-Based Learning Approach

Science Fair Project Handbook

Certified Six Sigma Professionals International Certification Courses in Six Sigma Green Belt

Higher education is becoming a major driver of economic competitiveness

Unit 7 Data analysis and design

Tuesday 13 May 2014 Afternoon

EDCI 699 Statistics: Content, Process, Application COURSE SYLLABUS: SPRING 2016

CHALLENGES FACING DEVELOPMENT OF STRATEGIC PLANS IN PUBLIC SECONDARY SCHOOLS IN MWINGI CENTRAL DISTRICT, KENYA

PHD COURSE INTERMEDIATE STATISTICS USING SPSS, 2018

GUIDE FOR THE WRITING OF THE DISSERTATION

Edexcel GCSE. Statistics 1389 Paper 1H. June Mark Scheme. Statistics Edexcel GCSE

Mktg 315 Marketing Research Spring 2015 Sec. 003 W 6:00-8:45 p.m. MBEB 1110

Empowering Students Learning Achievement Through Project-Based Learning As Perceived By Electrical Instructors And Students

MASTER OF ARTS IN APPLIED SOCIOLOGY. Thesis Option

MASTER S THESIS GUIDE MASTER S PROGRAMME IN COMMUNICATION SCIENCE

Statistics and Probability Standards in the CCSS- M Grades 6- HS

STT 231 Test 1. Fill in the Letter of Your Choice to Each Question in the Scantron. Each question is worth 2 point.

Course specification

Statistical Analysis of Climate Change, Renewable Energies, and Sustainability An Independent Investigation for Introduction to Statistics

Module 12. Machine Learning. Version 2 CSE IIT, Kharagpur

The Socially Structured Possibility to Pilot One s Transition by Paul Bélanger, Elaine Biron, Pierre Doray, Simon Cloutier, Olivier Meyer

Knowledge management styles and performance: a knowledge space model from both theoretical and empirical perspectives

PETER BLATCHFORD, PAUL BASSETT, HARVEY GOLDSTEIN & CLARE MARTIN,

The Use of Statistical, Computational and Modelling Tools in Higher Learning Institutions: A Case Study of the University of Dodoma

English for Specific Purposes World ISSN Issue 34, Volume 12, 2012 TITLE:

Investment in e- journals, use and research outcomes

Developing Students Research Proposal Design through Group Investigation Method

Entrepreneurial Discovery and the Demmert/Klein Experiment: Additional Evidence from Germany

Texas A&M University - Central Texas PSYK PRINCIPLES OF RESEARCH FOR THE BEHAVIORAL SCIENCES. Professor: Elizabeth K.

AP Statistics Summer Assignment 17-18

STUDENT LEARNING ASSESSMENT REPORT

PREDISPOSING FACTORS TOWARDS EXAMINATION MALPRACTICE AMONG STUDENTS IN LAGOS UNIVERSITIES: IMPLICATIONS FOR COUNSELLING

A study of the capabilities of graduate students in writing thesis and the advising quality of faculty members to pursue the thesis

The Implementation of Interactive Multimedia Learning Materials in Teaching Listening Skills

Coimisiún na Scrúduithe Stáit State Examinations Commission LEAVING CERTIFICATE 2008 MARKING SCHEME GEOGRAPHY HIGHER LEVEL

School of Innovative Technologies and Engineering

Computer Science and Information Technology 2 rd Assessment Cycle

Syllabus for CHEM 4660 Introduction to Computational Chemistry Spring 2010

Math 96: Intermediate Algebra in Context

UNIT ONE Tools of Algebra

Name: STEP 1: Starting Questions. Description PSII Learner.. PSII Teacher.

A Pilot Study on Pearson s Interactive Science 2011 Program

National Literacy and Numeracy Framework for years 3/4

Sagor s Model: The Action Research Cycle (Sagor, 2005)

Motivation to e-learn within organizational settings: What is it and how could it be measured?

MIDDLE AND HIGH SCHOOL MATHEMATICS TEACHER DIFFERENCES IN MATHEMATICS ALTERNATIVE CERTIFICATION

Introduction to the Practice of Statistics

Procedia - Social and Behavioral Sciences 98 ( 2014 ) International Conference on Current Trends in ELT

OCR LEVEL 3 CAMBRIDGE TECHNICAL

1. Drs. Agung Wicaksono, M.Pd. 2. Hj. Rika Riwayatiningsih, M.Pd. BY: M. SULTHON FATHONI NPM: Advised by:

CHAPTER 4: RESEARCH DESIGN AND METHODOLOGY

An application of student learner profiling: comparison of students in different degree programs

PROMOTING QUALITY AND EQUITY IN EDUCATION: THE IMPACT OF SCHOOL LEARNING ENVIRONMENT

AGS THE GREAT REVIEW GAME FOR PRE-ALGEBRA (CD) CORRELATED TO CALIFORNIA CONTENT STANDARDS

Conceptual and Procedural Knowledge of a Mathematics Problem: Their Measurement and Their Causal Interrelations

Graduate Program in Education

Theory of Probability

Room: Office Hours: T 9:00-12:00. Seminar: Comparative Qualitative and Mixed Methods

Knowledge based expert systems D H A N A N J A Y K A L B A N D E

Management of time resources for learning through individual study in higher education

San José State University Department of Marketing and Decision Sciences BUS 90-06/ Business Statistics Spring 2017 January 26 to May 16, 2017

Self Study Report Computer Science

Ph.D. in Behavior Analysis Ph.d. i atferdsanalyse

Agricultural Production, Business, and Trade in Spain and France ECON 496

Laporan Penelitian Unggulan Prodi

Unit: Human Impact Differentiated (Tiered) Task How Does Human Activity Impact Soil Erosion?

ScienceDirect. Noorminshah A Iahad a *, Marva Mirabolghasemi a, Noorfa Haszlinna Mustaffa a, Muhammad Shafie Abd. Latif a, Yahya Buntat b

Planning a Dissertation/ Project

Spinners at the School Carnival (Unequal Sections)

Maximizing Learning Through Course Alignment and Experience with Different Types of Knowledge

Master s Programme in European Studies

Learning Disability Functional Capacity Evaluation. Dear Doctor,

12- A whirlwind tour of statistics

Designing a Case Study Protocol for Application in IS research. Hilangwa Maimbo and Graham Pervan. School of Information Systems, Curtin University

Content analysis (qualitative, thematic) (Last updated: 9/4/06, Yan Zhang)

A Study of Metacognitive Awareness of Non-English Majors in L2 Listening

INTRODUCTION TO SOCIOLOGY SOCY 1001, Spring Semester 2013

How Residency Affects The Grades of Undergraduate Students

The Open University s repository of research publications and other research outputs

Bachelor Programme Structure Max Weber Institute for Sociology, University of Heidelberg

Innovative Methods for Teaching Engineering Courses

DBA Program Curriculum

PSYC 2700H-B: INTRODUCTION TO SOCIAL PSYCHOLOGY

Transcription:

Lahore University of Management Sciences SOC 320 Quantitative Research Methods Spring 2010 Instructor: Lamia Irfan Office: 210 New HSS Wing Office hours: TBA E-mail: lamiairfan@hotmail.com Aims and objectives This unit is designed to: describe the key components of social research it will allow students to develop skills and knowledge about quantitative social research; and identify criteria used to evaluate the quality of social research. Essential reading Bryman, A. Social Research Methods. (Oxford: Oxford University Press, 3rd edition, 2008) Further reading Babbie, E. The Basics of Social Research (Canada: Wadsworth 3rd edition 2005) Dooley, D. Social Research Methods (New Dehli: Prentice Hall 4th edition 2007) Frankel, J. & Wallen, N. How to Design and Evaluate Research in Education (USA: MacGraw-Hill, Inc. 2nd edition 1993) Learning outcomes: At the end of this course after finishing the essential readings and activities students should be able to: Formulate researchable questions. Define a research strategy and define a research project to answer a research question. Display knowledge of the practice and principles of quantitative research. Use skills and knowledge to evaluate the quality of published research by other social scientists and sociologists. Assessment

Projects: 40% Two research projects one using primary data and one using secondary data. Designing a survey and tabulating and presenting the data using SPSS. The research projects should use a mixture of methods to answer a specific research question. This project should be presented in the form of a report and a presentation. Mid term exam: 15% On the main themes and perspectives. Final Exam: 35% An unseen written examination. Class participation and attendance: 10% Attendance More than two unexcused absences will result in your losing your attendance points (3 unexcused absences means you lose half the points; more than 3 unexcused absences means you lose all the points). Absences are only excused in case you are unwell (a note from the LUMS doctor is required) or if you are representing LUMS through your participation in an event (an official letter is required). The contexts of social research: Social research as a professional activity. The market for social research outputs. The contexts of data collection. Social research and academic sociology. Philosophy and the practice of social research. The cultural context and ethnocentrism. Developing research proposals in context. Models and Modelling in Social Research: Ontological and epistemological status of models. Models and researchable questions. Exploratory and Confirmatory approaches to model building. Flexibility in Research Design. The use of models in quantitative and qualitative social research Concepts in Social Research: Approaches to concept formation in Sociology. Theory and concepts. Induction and deduction. The use of concepts in qualitative and quantitative social research. Coding qualitative data. Operationalising concepts. Complex concepts: property spaces. Quantitative Social Research: Sources of quantitative data: the social survey, administrative and official statistics. Secondary analysis of survey data. Designing social surveys. Quasi-experimental designs. Units and levels of analysis. Graphics and visualising data. Explanation and causal inference. Deciphering and Evaluating Social Research Outputs: The components of a social research publication. Identifying components. Reconstructing the research project. Validity in quantitative research. Sessions Concepts in Social Research:

SESSION 1: Introduction to the course SESSION 2: The nature of inquiry Differences between human iquiry and science. Differences between social and sociological problems. The foundations of social science. Some dialectics of social research. Paradigms, theory and research. SESSION 3: Social research strategies chapter 1 Theory and research, epistemological considerations, ontological considerations, research strategy, quantitative and qualitative research. SESSION 4: Research designs chapter 2 Criteria in social research: reliability, replicability, validity and relationship with research strategy. Types of research designs: Experimental, Cross sectional Longitudinal, Case study and comparative. SESSION 5: Planning a research project and formulating research questions. Chapter 3 Helping the students understand the steps involved in a research project so they can start thinking about their own project. This will include Hypothesis testing, formulating research questions, writing a research proposal, preparing research and analysing and presenting it. SESSION 6: Getting started: Reviewing the literature. Chapter 4 Reviewing existing literature, searching for research reports, understanding research reports and referencing. SESSION 7: Ethics and politics in social research Chapter 5 Ethical principles and research values, ethics and the issue of quality, the difficulties faced by researcher, politics in social research. Quantitative Social Research: SESSION 8: The nature of quantitative research chapter 6 Introduction to quantitative research and the main steps involved. Concepts and their measurement. Concepts and indicators in quantitative research. Issues of validity and

reliability. The main focus of Quantitative research: Measurement, causality generalisation and replication. Critique of quantitative research. SESSION 9: Sampling chapter 7 Introduction to survey research. Introduction to sampling and sampling error. Types of Probablity and non- probability sampling along with the advantages and disadvantages of each. Limits and error in survey research. SESSION 10: Structured interviewing chapter 8 Introduction to structured interviews. Focus on interview context, conducting the interviews, and the limitations of this approach. SESSION 11: Self completion questionnaires and asking questions Chapter 9 & 10 Intro to self completion questionnaires or postal questionnaires. Comparison with structured interviews. Designing the self completion questionnaire. Diaries as a form of self completion questionnaire. Types of questions. Rules of designing questions, piloting and pre-testing questions. SESSION 12: Structured observations chapter 11 Introduction to structured observation. The observation schedule. Strategies for observing behaviour, sampling, issues of reliability and validity. Field stimulations as a form of structured observation. Criticism of structured observation. SESSION 13: Content analysis, secondary analysis and official statistics chapters 12&13 Introduction to content analysis. What are the research questions? Selecting a sample. What should be counted. Coding in content analysis. Critique of content analysis. Advantages and limitations of using other researchers data, and official statistics for secondary analysis. Quantitative data analysis SESSION 14: Univariate analysis Quantification of data, types of variables, frequency tables, diagrams, measures of central tendency and measures of dispersion. SESSION 15: Bivariate and Multivariate analysis. Bivariate: Relationships not causality. Contingency tables, Pearson s r, Spearman s rho, Comparing means and eta. Multivariate analysis and statistical significance.

Computer workshops SESSION 16: Defining variables in SPSS; chapter 15 This will include variable names, missing values, variable labels and value labels. Along with recoding variables and computing new variables Session 17: Data analysis with SPSS Generating a frequency table, generating bar charts, pie charts, and histograms. Calculating Airthmetic mean, median, standard deviation, and range. SESSION 18: Contingency testing in SPSS Generating a contingency table, Chi square, Pearson s r and Spearman s rho. Comparing means and eta. SESSION 19: Correlation analysis in SPSS Bi-variate and tri-variate correlation analysis. Scatter diagrams. SESSION 20: Using SPSS with MS Office. Transporting tables to Excel, data display in Excel. Transporting tables to MS Word and Power point. Qualitative Research SESSION 21: The nature of Qualitative research chapter 16 Introduction to Qualitative research; theory and research; reliability and validity in Qualitative research; the main preoccupation of qualitative researchers; the critique of qualitative research. SESSION 22: Methods of Qualitative research chapters 17-22 Brief overview of methods of research. Ethnography and participant observation; Interviewing in Qualitative research; Focus groups; Language; and Documents as source of data in Qualitative research Reading and Writing Social research SESSION 23: Comparision of Quantitative and Qualitative research chapter 23 Differences and similarities in the two approaches. Comparison of the methods used by the two approaches. SESSION 24: Breaking down the quantitative/ Qualitative divide chapter 24

Problems with the quantitative/ qualitative contrast. The mutual Analysis of quantitative and qualitative research. Quantification in qualitative research. SESSION 25: Mixed Methods research: combining quantitative and qualitative research chapter 25 The debate about mixed methods research. Approaches to mixed methods research, the argument against it, Deciphering and Evaluating Social Research Outputs: Session 26: E- research & Writing up Social research chapter 27 & 26 Using the internet as object and method of data collection. Qualitative and quantitative research using the internet. Critique. Framework, structure and argument. Organisation of the report. Writing up qualitative, quantitative and mixed methods research. Session 27. Presentations Session 28. Presentations