Masters of Business Administration. MBA Semester-3. Assignments

Size: px
Start display at page:

Download "Masters of Business Administration. MBA Semester-3. Assignments"

Transcription

1 Summer 2014 Exam Oct/Nov 2014 Masters of Business Administration MBA Semester-3 MB0050 RESEARCH METHODOLOGY Assignments Q1. How would you distinguish between a management decision problem and a management research problem? Answer. Differences Management Decision Problem- A problem that needs to make a decision about something. It relates with a problem that is faced by the management or decision maker. It asks what the decision maker needs to do. The management decision problem is action oriented. It is concerned with the possible actions the decision maker can take. Hence a Management Decision Problem is whereby when a situation arises, and management of a company needs to make a decision which requires research and hence starts the research process. There is no actionable guidance. It is simply a statement of the issue that management is dealing with, and there must be restatement in the research terms. Management Research Problem-Research Problem is the information that the market research needs to provide in order to solve the problem. Sometimes known as the objectives. So it might be to find out - the appeal of the product, who does it appeal to? What price would they feel that it is good value for money? The research would feed this information back to management and management could then work out if the potential take up and price would ensure profitability. Page 1

2 The difference between both of them clearly shown in the below figure: Management- Decision Problem Marketing Research Problem Should a new product be introduced? Should the advertising campaign be changed? Should the price of the brand increased? What can sabaru do to expand its automobile market? To determine consumer preferences and purchase intentions for the proposed new product. To determine the effectiveness of the current campaign. To determine the price elasticity of demand & the impact on sales and profit of various levels of price changes. To determine the various needs of the automobile users and the extent to which those needs were being satisfied by the current product offering. Explanation The decision problem faced by management must be translated into a market research problem in the form of questions that define the information that is required to make the decision and how this information can be obtained. Thus, the decision problem is translated into a research problem. For example, a decision problem may be whether to launch a new product. The corresponding research problem might be to assess whether the market would accept the new product. Example For example, a decision problem may be whether to launch a new product. The corresponding research problem might be to assess whether the market would accept the new product. "Should we launch a new product?" "Would it be profitable" and "bring in new customers". Page 2

3 Q2. How is research designs classified? What are the distinguishing features of each? Differentiate by giving appropriate examples. Answer. Meaning of Research Design Ask of defining the research problem is the preparation of the research project, popularly k o as the esea h desig. A research design is a logical and systematic plan prepared for directing a research study. It is the plan, structure and strategy of investigation conceived so as to obtain answers to research questions. A research design is the program that guides the investigator in the process of collecting, analyzing and interpreting observations. It specifies the objectives of the study, the methodology and techniques to be adopted for achieving the objectives. It constitutes the blue print for the collection, measurement and analysis of data. Classification and features There are a num e of u ial esea h hoi es, a ious ite s ad a e diffe e t lassifi atio schemes, some of which are: 1. Sample surveys, field studies, experiments in field settings, and laboratory experiments (Festinger and 2. Exploratory, descriptive and experimental studies (Body and Westfall) 3. Exploratory, descriptive and casual (Green and Tull) 4. Experimental, historical and inferential designs (American Marketing Association). 5. Exploratory, descriptive and causal designs (Selltiz, Jahoda, Deutsch and Cook). 6. Experimental and expost fact (Kerlinger) 7. Historical method, and case and clinical studies (Goode and Scates) Page 3

4 8. Expe i e tal, uasi-experimental designs (Nachmias and Nachmias) 9. True experimental, quasi-experimental and non-experimental designs (Smith). 10. Experimental, pre-experimental, quasi-experimental designs and Survey Research (Kidder and Judd) These different categorizations exist, because, research design is a complex concept. Research Design for Studies in Commerce and Management The various research designs are: 1. Research design in case of exploratory research studies The main purpose of such studies is that of formulating a problem for more precise investigation or of developing the working hypothesis from an operational point of view. Exploratory research studies are also termed as formularize research studies. The major emphasis in such studies is on the discovery of ideas and insights. 2. Research design in case of descriptive and diagnostic research studies The studies concerning whether certain variables are associated are the example of diagnostic research studies. As against this, studies concerned with specific predictions, with narration of facts and characteristics concerning individual, group of situation are all examples of descriptive research studies. Most of the social research comes under this category. 3. Research Design in case of Hypothesis-Testing Research Studies Hypothesis-testing research studies (generally known as experimental studies) are those where the researcher tests the hypothesis of causal relationships between variables. Such studies require procedures that will not only reduce bias and increase reliability, but will permit drawing inferences about causality. Usually, experiments meet these requirements. Hence, when we talk of research design in such studies, we often mean the design of experiments. Page 4

5 Q3. Discuss with the help of examples the four key levels of measurement. What mathematical operations/statistical techniques are and are not permissible on data from each type of scale? Answer. Meaning of Measurement scales Different definitions of measurement have been offered by different authors. Ca p ell defi es easu e e t as the assig e t of u e s to ep ese t p ope ties.. A o di g to te e s, easu e e t is the assig e t of u e als to o je ts o e e ts a o di g to ules. A simple example of assignment of numerals according to a rule is described below Suppose a survey is conducted to study the applicants of an MBA program and one of the objectives of the study is to find out the sex-wise break-up of applicants. In this case, we may assig the u e to ale appli a ts a d the u e to fe ale appli a ts. Thus numbers may be used to label individuals, events or things. Levels of Measurement Measurement may be classified into four different levels, based on the characteristics of order, distance and origin. 1. Nominal measurement The nominal scale of measurement only satisfies the identity property of measurement. Values assigned to variables represent a descriptive category, but have no inherent numerical value with respect to magnitude. The number of cases under each category is counted. Nominal measurement is therefore the simplest level of measurement. It does not have characteristics such as order, distance or arithmetic origin. Gender is an example of a variable that is measured on a nominal scale. Individuals may be classified as "male" or "female", but neither value represents more or less "gender" than the Page 5

6 other. Religion and political affiliation are other examples of variables that are normally measured on a nominal scale. 2. Ordinal measurement The ordinal scale has the property of both identity and magnitude. Each value on the ordinal scale has a unique meaning, and it has an ordered relationship to every other value on the scale. In this level of measurement, persons or objects are assigned numerals which indicate ranks with respect to one or more properties, either in ascending or descending order. Example An example of an ordinal scale in action would be the results of a horse race, reported as "win", "place", and "show". We know the rank order in which horses finished the race. The horse that won finished ahead of the horse that placed, and the horse that placed finished ahead of the horse that showed. 3. Interval measurement The interval scale of measurement has the properties of identity, magnitude, and equal intervals. A perfect example of an interval scale is the Fahrenheit scale to measure temperature. The scale is made up of equal temperature units, so that the difference between 40 and 50 degrees Fahrenheit is equal to the difference between 50 and 60 degrees Fahrenheit. However, it does not have an origin or a true zero. This implies that it is not possible to multiply or divide the numbers on an interval scale. 4. Ratio measurement This is the highest level of measurement and is appropriate when measuring characteristics which have an absolute zero point. This level of measurement has all the three characteristics order, distance and origin. Examples Page 6

7 Height, weight, distance and area. Since there is a natural zero, it is possible to multiply and divide the numbers on a ratio scale. Apart from being able to use all the statistical techniques that are used with the nominal, ordinal and interval scales, techniques like the geometric mean and coefficient of variation may also be used. Mathematical operations/statistical techniques Analytical Study: It is a system of procedures and techniques of analysis applied to quantitative data. It may consist of a system of mathematical models or statistical techniques applicable to numerical data. Hence it is also known as the Statistical Method. It aims at testing hypothesis and specifying and interpreting relationships. Remaining answers are available in the full assignments... For full assignments contact us Naveen kumar: smuassignment2014@gmail.com Website: Note: Paid assignments will be in word format as per SMU s new guidelines without any watermark. Page 7

MBA SEMESTER III. MB0050 Research Methodology- 4 Credits. (Book ID: B1206 ) Assignment Set- 1 (60 Marks)

MBA SEMESTER III. MB0050 Research Methodology- 4 Credits. (Book ID: B1206 ) Assignment Set- 1 (60 Marks) MBA SEMESTER III MB0050 Research Methodology- 4 Credits (Book ID: B1206 ) Assignment Set- 1 (60 Marks) Note: Each question carries 10 Marks. Answer all the questions Q1. a. Differentiate between nominal,

More information

9 research designs likely for PSYC 2100

9 research designs likely for PSYC 2100 9 research designs likely for PSYC 2100 1) 1 factor, 2 levels, 1 group (one group gets both treatment levels) related samples t-test (compare means of 2 levels only) 2) 1 factor, 2 levels, 2 groups (one

More information

Measurement. Different terminology. Marketing managers work with abstractions. Different terminology. Different terminology.

Measurement. Different terminology. Marketing managers work with abstractions. Different terminology. Different terminology. Different terminology Managerial view Marketing managers work with abstractions Concepts A generalized idea about a class of objects, attributes, occurrences or processes Propositions A set of concepts

More information

MBA 605 Business Analytics Don Conant, PhD. GETTING TO THE STANDARD NORMAL DISTRIBUTION

MBA 605 Business Analytics Don Conant, PhD. GETTING TO THE STANDARD NORMAL DISTRIBUTION MBA 605 Business Analytics Don Conant, PhD. GETTING TO THE STANDARD NORMAL DISTRIBUTION Variables In the social sciences data are the observed and/or measured characteristics of individuals and groups

More information

full file at

full file at Chapter 01 What Is Statistics? True / False Questions 1. A population is a collection of all individuals, objects, or measurements of interest. True False 2. Statistics are used as a basis for making decisions.

More information

Introduction: Statistics, Data and Statistical Thinking Part II

Introduction: Statistics, Data and Statistical Thinking Part II Introduction: Statistics, Data and Statistical Thinking Part II FREC/STAT 608 Dr. Tom Ilvento Department of Food and Resource Economics Let s Continue with our introduction We need terms and definitions

More information

Data collection, summarizing data (organization and analysis of data) The drawing of inferences about a population from a sample taken from

Data collection, summarizing data (organization and analysis of data) The drawing of inferences about a population from a sample taken from 1 Nature of Statistics The Study of statistics involves; Data collection, summarizing data (organization and analysis of data) and interpretation of data. The drawing of inferences about a population from

More information

Nature of measurement

Nature of measurement Nature of measurement Lecturer: Dr. Emmanuel Adjei; Department of Information Studies Contact Information: eadjei@ug.edu.gh College of Education School of Continuing and Distance Education 2014/2015 2016/2017

More information

Statistics are commonly used in most fields of study and are regularly seen in newspapers, on television, and in professional work.

Statistics are commonly used in most fields of study and are regularly seen in newspapers, on television, and in professional work. I. Introduction and Data Collection A. Introduction to Statistics In this section Basic Statistical Terminology Branches of Statistics Types of Studies Types of Data Levels of Measurement 1. Basic Statistical

More information

What Is Statistics. Chapter 01. Copyright 2013 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin

What Is Statistics. Chapter 01. Copyright 2013 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin What Is Statistics Chapter 01 McGraw-Hill/Irwin Copyright 2013 by The McGraw-Hill Companies, Inc. All rights reserved. LEARNING OBJECTIVES LO 1-1 List ways that statistics is used. LO 1-2 Know the differences

More information

The Institute of Chartered Accountants of Sri Lanka

The Institute of Chartered Accountants of Sri Lanka The Institute of Chartered Accountants of Sri Lanka Postgraduate Diploma in Business Finance and Strategy Quantitative Methods for Business Studies Handout 01: Basic Statistics What is Statistics? Statistics

More information

Chapter 1: Introduction to Statistics

Chapter 1: Introduction to Statistics Chapter 1: Introduction o to Statistics Statistics, ti ti Science, and Observations Definition: The term statistics refers to a set of mathematical procedures for organizing, summarizing, and interpreting

More information

Types of questions. You need to know. Short question. Short question. Measurement Scale: Ordinal Scale

Types of questions. You need to know. Short question. Short question. Measurement Scale: Ordinal Scale You need to know Materials in the slides Materials in the 5 coglab presented in class Textbooks chapters Information/explanation given in class you can have all these documents with you + your notes during

More information

Group Assignment #1: Concept Explication. For each concept, ask and answer the questions before your literature search.

Group Assignment #1: Concept Explication. For each concept, ask and answer the questions before your literature search. Group Assignment #1: Concept Explication 1. Preliminary identification of the concept. Identify and name each concept your group is interested in examining. Questions to asked and answered: Is each concept

More information

Survey Research Methodology

Survey Research Methodology Survey Research Methodology Prepared by: Praveen Sapkota IAAS, TU, Rampur Chitwan, Nepal Social research Meaning of social research A social research is a systematic method of exploring, analyzing and

More information

The Role and Importance of Research

The Role and Importance of Research The Role and Importance of Research What Research Is and Isn t A Model of Scientific Inquiry Different Types of Research Experimental Research What Method to Use When Applied and Basic Research Increasing

More information

Chapter 1. Research : A way of thinking

Chapter 1. Research : A way of thinking Chapter 1 Research : A way of thinking Research is undertaken within most professions. More than a set of skills, research is a way of thinking: examining critically the various aspects of your day-to-day

More information

Chapter 1. Research : A way of thinking

Chapter 1. Research : A way of thinking Chapter 1 Research : A way of thinking Research is undertaken within most professions. More than a set of skills, research is a way of thinking: examining critically the various aspects of your day-to-day

More information

Application of Medical Statistics. E.M.S. Bandara Dep. of Medical Lab. Sciences

Application of Medical Statistics. E.M.S. Bandara Dep. of Medical Lab. Sciences Application of Medical Statistics E.M.S. Bandara Dep. of Medical Lab. Sciences What is Statistics? The discipline concerned with the treatment of numerical data derived from groups of individuals (P. Armitage).

More information

IS STATISTICS 100% CORRECT?

IS STATISTICS 100% CORRECT? TYPES OF DATA IS STATISTICS 100% CORRECT? 2 DATA SOURSES Primary Data Collection Secondary Data Compilation Print or Electronic Observation 3 Survey Experimentation 3 TYPES OF DATA Data Categorical Numerical

More information

Variables and Data. Gbenga Ogunfowokan Lead, Nigerian Regional Faculty The Global Health Network 19 th May 2017

Variables and Data. Gbenga Ogunfowokan Lead, Nigerian Regional Faculty The Global Health Network 19 th May 2017 Variables and Data Gbenga Ogunfowokan Lead, Nigerian Regional The Global Health Network 19 th May 2017 Objectives At the end of this presentation you should be able to 1) Define a variable 2) Classify

More information

Results & Statistics: Description and Correlation. I. Scales of Measurement A Review

Results & Statistics: Description and Correlation. I. Scales of Measurement A Review Results & Statistics: Description and Correlation The description and presentation of results involves a number of topics. These include scales of measurement, descriptive statistics used to summarize

More information

Descriptive Statistics Lecture

Descriptive Statistics Lecture Definitions: Lecture Psychology 280 Orange Coast College 2/1/2006 Statistics have been defined as a collection of methods for planning experiments, obtaining data, and then analyzing, interpreting and

More information

On the purpose of testing:

On the purpose of testing: Why Evaluation & Assessment is Important Feedback to students Feedback to teachers Information to parents Information for selection and certification Information for accountability Incentives to increase

More information

Chapter 1: Introduction to Statistics

Chapter 1: Introduction to Statistics Chapter 1: Introduction to Statistics Statistics, Science, and Observations Definition: The term statistics refers to a set of mathematical procedures for organizing, summarizing, and interpreting information.

More information

Political Science 15, Winter 2014 Final Review

Political Science 15, Winter 2014 Final Review Political Science 15, Winter 2014 Final Review The major topics covered in class are listed below. You should also take a look at the readings listed on the class website. Studying Politics Scientifically

More information

The Logic of Data Analysis Using Statistical Techniques M. E. Swisher, 2016

The Logic of Data Analysis Using Statistical Techniques M. E. Swisher, 2016 The Logic of Data Analysis Using Statistical Techniques M. E. Swisher, 2016 This course does not cover how to perform statistical tests on SPSS or any other computer program. There are several courses

More information

The Regression-Discontinuity Design

The Regression-Discontinuity Design Page 1 of 10 Home» Design» Quasi-Experimental Design» The Regression-Discontinuity Design The regression-discontinuity design. What a terrible name! In everyday language both parts of the term have connotations

More information

Chapter 01 What Is Statistics?

Chapter 01 What Is Statistics? Chapter 01 What Is Statistics? True / False Questions 1. A population is a collection of all individuals, objects, or measurements of interest. 2. Statistics are used as a basis for making decisions. 3.

More information

Basic SPSS for Postgraduate

Basic SPSS for Postgraduate Basic SPSS for Postgraduate Dr. Shamshuritawati Sharif School of Quantitative Science Email : shamshurita@uum.edu.my Office : +6049286336 Mobile :+60194248001 In the process of carrying out the research,

More information

Basic Statistical Concepts, Research Design, & Notation

Basic Statistical Concepts, Research Design, & Notation , Research Design, & Notation Variables, Scores, & Data A variable is a characteristic or condition that can change or take on different values. Most research begins with a general question about the relationship

More information

9.63 Laboratory in Cognitive Science

9.63 Laboratory in Cognitive Science 9.63 Laboratory in Cognitive Science Fall 2005 Course 2b Variables, Controls Aude Oliva Ben Balas, Charles Kemp Science is: Scientific Thinking 1. Empirical Based on observations 2. Objective Observations

More information

Types of variables. Introduction

Types of variables. Introduction Types of variables Introduction When carrying out a research, a researcher is supposed to understand everything about variables and be able to talk about them. A variable can be defined as any unit which

More information

Test Bank for Privitera, Statistics for the Behavioral Sciences

Test Bank for Privitera, Statistics for the Behavioral Sciences 1. The use of tables and graphs to summarize data is an example of A) inferential statistics B) interpretation C) descriptive statistics D) generalization 2. Statistical analysis allows researchers to

More information

DATA GATHERING. Define : Is a process of collecting data from sample, so as for testing & analyzing before reporting research findings.

DATA GATHERING. Define : Is a process of collecting data from sample, so as for testing & analyzing before reporting research findings. DATA GATHERING Define : Is a process of collecting data from sample, so as for testing & analyzing before reporting research findings. 2012 John Wiley & Sons Ltd. Measurement Measurement: the assignment

More information

QMS102- Business Statistics I Chapter1and 3

QMS102- Business Statistics I Chapter1and 3 1. Techniques used to organize, summarize and present data that have been collected are called A. descriptive statistics B. inferential statistics C. Sample D. population 2. The collection of all possible

More information

Statistics Mathematics 243

Statistics Mathematics 243 Statistics Mathematics 243 Michael Stob February 2, 2005 These notes are supplementary material for Mathematics 243 and are not intended to stand alone. They should be used in conjunction with the textbook

More information

Ch. 11 Measurement. Paul I-Hai Lin, Professor A Core Course for M.S. Technology Purdue University Fort Wayne Campus

Ch. 11 Measurement. Paul I-Hai Lin, Professor  A Core Course for M.S. Technology Purdue University Fort Wayne Campus TECH 646 Analysis of Research in Industry and Technology PART III The Sources and Collection of data: Measurement, Measurement Scales, Questionnaires & Instruments, Sampling Ch. 11 Measurement Lecture

More information

11/18/2013. Correlational Research. Correlational Designs. Why Use a Correlational Design? CORRELATIONAL RESEARCH STUDIES

11/18/2013. Correlational Research. Correlational Designs. Why Use a Correlational Design? CORRELATIONAL RESEARCH STUDIES Correlational Research Correlational Designs Correlational research is used to describe the relationship between two or more naturally occurring variables. Is age related to political conservativism? Are

More information

CHAPTER 3 DATA ANALYSIS: DESCRIBING DATA

CHAPTER 3 DATA ANALYSIS: DESCRIBING DATA Data Analysis: Describing Data CHAPTER 3 DATA ANALYSIS: DESCRIBING DATA In the analysis process, the researcher tries to evaluate the data collected both from written documents and from other sources such

More information

Chapter 4. Navigating. Analysis. Data. through. Exploring Bivariate Data. Navigations Series. Grades 6 8. Important Mathematical Ideas.

Chapter 4. Navigating. Analysis. Data. through. Exploring Bivariate Data. Navigations Series. Grades 6 8. Important Mathematical Ideas. Navigations Series Navigating through Analysis Data Grades 6 8 Chapter 4 Exploring Bivariate Data Important Mathematical Ideas Copyright 2009 by the National Council of Teachers of Mathematics, Inc. www.nctm.org.

More information

CHAPTER 3 RESEARCH METHODOLOGY

CHAPTER 3 RESEARCH METHODOLOGY CHAPTER 3 RESEARCH METHODOLOGY 3.1 Introduction 3.1 Methodology 3.1.1 Research Design 3.1. Research Framework Design 3.1.3 Research Instrument 3.1.4 Validity of Questionnaire 3.1.5 Statistical Measurement

More information

HC 963 SesSIon november Department of Health. Young people s sexual health: the National Chlamydia Screening Programme

HC 963 SesSIon november Department of Health. Young people s sexual health: the National Chlamydia Screening Programme Report by the Comptroller and Auditor General HC 963 SesSIon 2008 2009 12 november 2009 Department of Health Young people s sexual health: the National Chlamydia Screening Programme 4 Summary Young people

More information

Technical Specifications

Technical Specifications Technical Specifications In order to provide summary information across a set of exercises, all tests must employ some form of scoring models. The most familiar of these scoring models is the one typically

More information

Math Workshop On-Line Tutorial Judi Manola Paul Catalano. Slide 1. Slide 3

Math Workshop On-Line Tutorial Judi Manola Paul Catalano. Slide 1. Slide 3 Kinds of Numbers and Data First we re going to think about the kinds of numbers you will use in the problems you will encounter in your studies. Then we will expand a bit and think about kinds of data.

More information

Ch. 11 Measurement. Measurement

Ch. 11 Measurement. Measurement TECH 646 Analysis of Research in Industry and Technology PART III The Sources and Collection of data: Measurement, Measurement Scales, Questionnaires & Instruments, Sampling Ch. 11 Measurement Lecture

More information

Measurement. 500 Research Methods Mike Kroelinger

Measurement. 500 Research Methods Mike Kroelinger Measurement 500 Research Methods Mike Kroelinger Levels of Measurement Nominal Lowest level -- used to classify variables into two or more categories. Cases placed in the same category must be equivalent.

More information

Shiken: JALT Testing & Evaluation SIG Newsletter. 12 (2). April 2008 (p )

Shiken: JALT Testing & Evaluation SIG Newsletter. 12 (2). April 2008 (p ) Rasch Measurementt iin Language Educattiion Partt 2:: Measurementt Scalles and Invariiance by James Sick, Ed.D. (J. F. Oberlin University, Tokyo) Part 1 of this series presented an overview of Rasch measurement

More information

Math Workshop On-Line Tutorial Judi Manola Paul Catalano

Math Workshop On-Line Tutorial Judi Manola Paul Catalano Math Workshop On-Line Tutorial Judi Manola Paul Catalano 1 Session 1 Kinds of Numbers and Data, Fractions, Negative Numbers, Rounding, Averaging, Properties of Real Numbers, Exponents and Square Roots,

More information

THE ROLE OF THE COMPUTER IN DATA ANALYSIS

THE ROLE OF THE COMPUTER IN DATA ANALYSIS CHAPTER ONE Introduction Welcome to the study of statistics! It has been our experience that many students face the prospect of taking a course in statistics with a great deal of anxiety, apprehension,

More information

A Probability Puzzler. Statistics, Data and Statistical Thinking. A Probability Puzzler. A Probability Puzzler. Statistics.

A Probability Puzzler. Statistics, Data and Statistical Thinking. A Probability Puzzler. A Probability Puzzler. Statistics. Statistics, Data and Statistical Thinking FREC 408 Dr. Tom Ilvento 213 Townsend Hall Ilvento@udel.edu A Probability Puzzler Pick a number from 2 to 9. It can be 2 or it can be 9, or any number in between.

More information

Chapter 14: More Powerful Statistical Methods

Chapter 14: More Powerful Statistical Methods Chapter 14: More Powerful Statistical Methods Most questions will be on correlation and regression analysis, but I would like you to know just basically what cluster analysis, factor analysis, and conjoint

More information

Carrying out an Empirical Project

Carrying out an Empirical Project Carrying out an Empirical Project Empirical Analysis & Style Hint Special program: Pre-training 1 Carrying out an Empirical Project 1. Posing a Question 2. Literature Review 3. Data Collection 4. Econometric

More information

Client Satisfaction Survey

Client Satisfaction Survey Client Satisfaction Survey Presentation to the Royal Yachting Association June 2012 Why did we conduct a client survey? To measure the level of satisfaction clients have in our service To explore our relationship

More information

Transforming Concepts into Variables

Transforming Concepts into Variables Transforming Concepts into Variables Operationalization and Measurement Issues of Validity and Reliability Concepts What is a concept? A mental image that summarizes a set of similar observations, feelings,

More information

STATISTICS AND RESEARCH DESIGN

STATISTICS AND RESEARCH DESIGN Statistics 1 STATISTICS AND RESEARCH DESIGN These are subjects that are frequently confused. Both subjects often evoke student anxiety and avoidance. To further complicate matters, both areas appear have

More information

INTRODUCTION TO MEDICAL RESEARCH: ESSENTIAL SKILLS

INTRODUCTION TO MEDICAL RESEARCH: ESSENTIAL SKILLS INTRODUCTION TO MEDICAL RESEARCH: ESSENTIAL SKILLS SCALES OF MEASUREMENT AND WAYS OF SUMMARIZING DATA Alecsandra IRIMIE-ANA 1 1. Psychiatry Hospital Prof. Dr. Alexandru Obregia ABSTRACT Regardless the

More information

AP Psychology -- Chapter 02 Review Research Methods in Psychology

AP Psychology -- Chapter 02 Review Research Methods in Psychology AP Psychology -- Chapter 02 Review Research Methods in Psychology 1. In the opening vignette, to what was Alicia's condition linked? The death of her parents and only brother 2. What did Pennebaker s study

More information

Correlational Research. Correlational Research. Stephen E. Brock, Ph.D., NCSP EDS 250. Descriptive Research 1. Correlational Research: Scatter Plots

Correlational Research. Correlational Research. Stephen E. Brock, Ph.D., NCSP EDS 250. Descriptive Research 1. Correlational Research: Scatter Plots Correlational Research Stephen E. Brock, Ph.D., NCSP California State University, Sacramento 1 Correlational Research A quantitative methodology used to determine whether, and to what degree, a relationship

More information

32.5. percent of U.S. manufacturers experiencing unfair currency manipulation in the trade practices of other countries.

32.5. percent of U.S. manufacturers experiencing unfair currency manipulation in the trade practices of other countries. TECH 646 Analysis of Research in Industry and Technology PART III The Sources and Collection of data: Measurement, Measurement Scales, Questionnaires & Instruments, Sampling Ch. 11 Measurement Lecture

More information

STA Module 1 The Nature of Statistics. Rev.F07 1

STA Module 1 The Nature of Statistics. Rev.F07 1 STA 2023 Module 1 The Nature of Statistics Rev.F07 1 Learning Objectives 1. Classify a statistical study as either descriptive or inferential. 2. Identify the population and the sample in an inferential

More information

STA Rev. F Module 1 The Nature of Statistics. Learning Objectives. Learning Objectives (cont.

STA Rev. F Module 1 The Nature of Statistics. Learning Objectives. Learning Objectives (cont. STA 2023 Module 1 The Nature of Statistics Rev.F07 1 Learning Objectives 1. Classify a statistical study as either descriptive or inferential. 2. Identify the population and the sample in an inferential

More information

Introduction to biostatistics & Levels of measurement

Introduction to biostatistics & Levels of measurement Introduction to biostatistics & Levels of measurement Objectives: Definition of statistics and biostatistics To understand different Levels of measurements To understand different Types of data To use

More information

TECH 646 Analysis of Research in Industry and Technology

TECH 646 Analysis of Research in Industry and Technology TECH 646 Analysis of Research in Industry and Technology Ch 6. Research Design: An Overview Based on the text book and supplemental materials from the text book: Cooper, D.R., & Schindler, P.S., Business

More information

Chapter-2 RESEARCH DESIGN

Chapter-2 RESEARCH DESIGN Chapter-2 RESEARCH DESIGN 33 2.1 Introduction to Research Methodology: The general meaning of research is the search for knowledge. Research is also defined as a careful investigation or inquiry, especially

More information

CHAPTER 1. YAKUP ARI,Ph.D.(C)

CHAPTER 1. YAKUP ARI,Ph.D.(C) CHAPTER 1 YAKUP ARI,Ph.D.(C) math.stat.yeditepe@gmail.com DEFINITION OF STATISTICS The term STATISTICS refers to a set of mathematical procedures for organizing, summarizing, and interpreing information.

More information

Lecture II: Difference in Difference. Causality is difficult to Show from cross

Lecture II: Difference in Difference. Causality is difficult to Show from cross Review Lecture II: Regression Discontinuity and Difference in Difference From Lecture I Causality is difficult to Show from cross sectional observational studies What caused what? X caused Y, Y caused

More information

POST GRADUATE DIPLOMA IN BIOETHICS (PGDBE) Term-End Examination June, 2016 MHS-014 : RESEARCH METHODOLOGY

POST GRADUATE DIPLOMA IN BIOETHICS (PGDBE) Term-End Examination June, 2016 MHS-014 : RESEARCH METHODOLOGY No. of Printed Pages : 12 MHS-014 POST GRADUATE DIPLOMA IN BIOETHICS (PGDBE) Term-End Examination June, 2016 MHS-014 : RESEARCH METHODOLOGY Time : 2 hours Maximum Marks : 70 PART A Attempt all questions.

More information

Bijay Lal Pradhan, M Sc Statistics, FDPM (IIMA) 2

Bijay Lal Pradhan, M Sc Statistics, FDPM (IIMA) 2 Bijay Lal Pradhan Measurement and Scaling 1) Definition of measurement and scale 2) Type of Physical scale i. Nominal Scale iii. Interval scale ii. Ordinal Scale iv. Ratio Scale 3) Need of scaling 4) Criteria

More information

Methodology for Non-Randomized Clinical Trials: Propensity Score Analysis Dan Conroy, Ph.D., inventiv Health, Burlington, MA

Methodology for Non-Randomized Clinical Trials: Propensity Score Analysis Dan Conroy, Ph.D., inventiv Health, Burlington, MA PharmaSUG 2014 - Paper SP08 Methodology for Non-Randomized Clinical Trials: Propensity Score Analysis Dan Conroy, Ph.D., inventiv Health, Burlington, MA ABSTRACT Randomized clinical trials serve as the

More information

Speaker Notes: Qualitative Comparative Analysis (QCA) in Implementation Studies

Speaker Notes: Qualitative Comparative Analysis (QCA) in Implementation Studies Speaker Notes: Qualitative Comparative Analysis (QCA) in Implementation Studies PART 1: OVERVIEW Slide 1: Overview Welcome to Qualitative Comparative Analysis in Implementation Studies. This narrated powerpoint

More information

Chapter 1: Explaining Behavior

Chapter 1: Explaining Behavior Chapter 1: Explaining Behavior GOAL OF SCIENCE is to generate explanations for various puzzling natural phenomenon. - Generate general laws of behavior (psychology) RESEARCH: principle method for acquiring

More information

Lecture (chapter 1): Introduction

Lecture (chapter 1): Introduction Lecture (chapter 1): Introduction Ernesto F. L. Amaral January 17, 2018 Advanced Methods of Social Research (SOCI 420) Source: Healey, Joseph F. 2015. Statistics: A Tool for Social Research. Stamford:

More information

Write your identification number on each paper and cover sheet (the number stated in the upper right hand corner on your exam cover).

Write your identification number on each paper and cover sheet (the number stated in the upper right hand corner on your exam cover). STOCKHOLM UNIVERSITY Department of Economics Course name: Empirical methods 2 Course code: EC2402 Examiner: Per Pettersson-Lidbom Number of credits: 7,5 credits Date of exam: Sunday 21 February 2010 Examination

More information

PÄIVI KARHU THE THEORY OF MEASUREMENT

PÄIVI KARHU THE THEORY OF MEASUREMENT PÄIVI KARHU THE THEORY OF MEASUREMENT AGENDA 1. Quality of Measurement a) Validity Definition and Types of validity Assessment of validity Threats of Validity b) Reliability True Score Theory Definition

More information

LONG QUESTIONS 1. MEANING OF RESEARCH OBJECTIVES AND TYPES OF RESEARCH. Research refers to a search for knowledge. Research is an art of scientific

LONG QUESTIONS 1. MEANING OF RESEARCH OBJECTIVES AND TYPES OF RESEARCH. Research refers to a search for knowledge. Research is an art of scientific LONG QUESTIONS 1. MEANING OF RESEARCH OBJECTIVES AND TYPES OF RESEARCH. Research refers to a search for knowledge. Research is an art of scientific investigation. The Advanced Learner s Dictionary of Current

More information

The Nature of Probability and Statistics

The Nature of Probability and Statistics Chapter 1 The Nature of Probability and Statistics Chapter 1 Overview Introduction 1-1 Descriptive and Inferential Statistics 1-2 Variables and Types of Data 1-3 Data Collection & Sampling Techniques 1-4

More information

Fully Employed MBA (MGMT FE)

Fully Employed MBA (MGMT FE) Fully Employed MBA (MGMT FE) 1 Fully Employed MBA (MGMT FE) Courses MGMT FE 200. Responding to Dynamic Times: Thinking Strategically in Organizations. 6 Units. Focuses on the strategic and organizational

More information

CHAPTER VI RESEARCH METHODOLOGY

CHAPTER VI RESEARCH METHODOLOGY CHAPTER VI RESEARCH METHODOLOGY 6.1 Research Design Research is an organized, systematic, data based, critical, objective, scientific inquiry or investigation into a specific problem, undertaken with the

More information

Analysis of Environmental Data Conceptual Foundations: En viro n m e n tal Data

Analysis of Environmental Data Conceptual Foundations: En viro n m e n tal Data Analysis of Environmental Data Conceptual Foundations: En viro n m e n tal Data 1. Purpose of data collection...................................................... 2 2. Samples and populations.......................................................

More information

Working Paper 8: Janine Morley, Interesting topics & directions for practice theories August 2014

Working Paper 8: Janine Morley, Interesting topics & directions for practice theories August 2014 Please Note: The following working paper was presented at the workshop Demanding ideas: where theories of practice might go next held 18-20 June 2014 in Windermere, UK. The purpose of the event was to

More information

Disclaimer. Statistical Aspects of Revision of CHMP Bioequivalence Guidelines. David Brown MHRA

Disclaimer. Statistical Aspects of Revision of CHMP Bioequivalence Guidelines. David Brown MHRA Statistical Aspects of Revision of CHMP Bioequivalence Guidelines David Brown MHRA 1 Disclaimer The views and opinions expressed in the following PowerPoint slides are those of the individual presenter

More information

Research Methodology

Research Methodology Research Methodology Overview of Research and its Methodologies Course Objectives At the end of this course, the students should be able to: understand some basic concepts of research and its Methodologies

More information

An evidence rating scale for New Zealand

An evidence rating scale for New Zealand Social Policy Evaluation and Research Unit An evidence rating scale for New Zealand Understanding the effectiveness of interventions in the social sector Using Evidence for Impact MARCH 2017 About Superu

More information

PA 552: Designing Applied Research. Bruce Perlman Planning and Designing Research

PA 552: Designing Applied Research. Bruce Perlman Planning and Designing Research PA 552: Designing Applied Research Bruce Perlman Planning and Designing Research PA 552 DESIGNING RESEARCH Research Approach Basic Plan Adopted for Conducting the Research Overall Framework of the Project

More information

UNIVERSITY OF THE FREE STATE DEPARTMENT OF COMPUTER SCIENCE AND INFORMATICS CSIS6813 MODULE TEST 2

UNIVERSITY OF THE FREE STATE DEPARTMENT OF COMPUTER SCIENCE AND INFORMATICS CSIS6813 MODULE TEST 2 UNIVERSITY OF THE FREE STATE DEPARTMENT OF COMPUTER SCIENCE AND INFORMATICS CSIS6813 MODULE TEST 2 DATE: 3 May 2017 MARKS: 75 ASSESSOR: Prof PJ Blignaut MODERATOR: Prof C de Villiers (UP) TIME: 2 hours

More information

MANAGEMENT. MGMT 0021 THE MANAGEMENT PROCESS 3 cr. MGMT 0022 FINANCIAL ACCOUNTING 3 cr. MGMT 0023 MANAGERIAL ACCOUNTING 3 cr.

MANAGEMENT. MGMT 0021 THE MANAGEMENT PROCESS 3 cr. MGMT 0022 FINANCIAL ACCOUNTING 3 cr. MGMT 0023 MANAGERIAL ACCOUNTING 3 cr. MANAGEMENT MGMT 0021 THE MANAGEMENT PROCESS 3 cr. An introduction designed to emphasize the basic principles, practices, and terminology essential to the understanding of contemporary business and its

More information

The Nature of Regression Analysis

The Nature of Regression Analysis The Nature of Regression Analysis Jamie Monogan University of Georgia Intermediate Political Methodology Jamie Monogan (UGA) The Nature of Regression Analysis POLS 7014 1 / 8 Objectives By the end of this

More information

The Scientific Method

The Scientific Method The Scientific Method Objectives 1. To understand the central role of hypothesis testing in the modern scientific process. 2. To design and conduct an experiment using the scientific method. 3. To learn

More information

Ready for a Fundraising Breakthrough?

Ready for a Fundraising Breakthrough? Ready for a Fundraising Breakthrough? Fundraising never looked so good. Although I have formulated thousands of products during my 40+ years in the skincare manufacturing industry, I have never seen a

More information

Chapter 20: Test Administration and Interpretation

Chapter 20: Test Administration and Interpretation Chapter 20: Test Administration and Interpretation Thought Questions Why should a needs analysis consider both the individual and the demands of the sport? Should test scores be shared with a team, or

More information

Describe what is meant by a placebo Contrast the double-blind procedure with the single-blind procedure Review the structure for organizing a memo

Describe what is meant by a placebo Contrast the double-blind procedure with the single-blind procedure Review the structure for organizing a memo Please note the page numbers listed for the Lind book may vary by a page or two depending on which version of the textbook you have. Readings: Lind 1 11 (with emphasis on chapters 10, 11) Please note chapter

More information

Introduction to Statistics

Introduction to Statistics Introduction to Statistics Parameter: measurable characteristic of a population. Population: all members of a definable group. For statistical purposes a population must have definable characteristics

More information

Interpretation of Data and Statistical Fallacies

Interpretation of Data and Statistical Fallacies ISSN: 2349-7637 (Online) RESEARCH HUB International Multidisciplinary Research Journal Research Paper Available online at: www.rhimrj.com Interpretation of Data and Statistical Fallacies Prof. Usha Jogi

More information

Still important ideas

Still important ideas Readings: OpenStax - Chapters 1 13 & Appendix D & E (online) Plous Chapters 17 & 18 - Chapter 17: Social Influences - Chapter 18: Group Judgments and Decisions Still important ideas Contrast the measurement

More information

Lesson 11 Correlations

Lesson 11 Correlations Lesson 11 Correlations Lesson Objectives All students will define key terms and explain the difference between correlations and experiments. All students should be able to analyse scattergrams using knowledge

More information

Basic Concepts in Research and DATA Analysis

Basic Concepts in Research and DATA Analysis Basic Concepts in Research and DATA Analysis 1 Introduction: A Common Language for Researchers...2 Steps to Follow When Conducting Research...2 The Research Question...3 The Hypothesis...3 Defining the

More information

Advances in Environmental Biology

Advances in Environmental Biology AENSI Journals Advances in Environmental Biology ISSN-1995-0756 EISSN-1998-1066 Journal home page: http://www.aensiweb.com/aeb/ Weighting the Behavioral Biases of Investors in Shiraz Stock Exchange by

More information

Still important ideas

Still important ideas Readings: OpenStax - Chapters 1 11 + 13 & Appendix D & E (online) Plous - Chapters 2, 3, and 4 Chapter 2: Cognitive Dissonance, Chapter 3: Memory and Hindsight Bias, Chapter 4: Context Dependence Still

More information