Research Methods 1 Levels of Measurement. Self Assessment On completion of this session you should comprehend: §The differences between subjective measures.

Slides:



Advertisements
Similar presentations
Info 2040 Foundation of Quantitative Analysis
Advertisements

Created by Tom Wegleitner, Centreville, Virginia
Formulation of the objectives Variable vs
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Lecture Slides Elementary Statistics Eleventh Edition and the Triola Statistics Series by.
Introduction to Statistics Quantitative Methods in HPELS 440:210.
PSYC512: Research Methods PSYC512: Research Methods Lecture 10 Brian P. Dyre University of Idaho.
Sociology 601: Class 1, September Syllabus Course website Objectives Prerequisites Text Homeworks Class time Exams Grading Schedule.
Chapter 8 Measurement of Variables Chapter Objectives Operationally define (or operationalise) concepts Explain the characteristics and power of the.
PY 427 Statistics 1Fall 2006 Kin Ching Kong, Ph.D Lecture 1 Chicago School of Professional Psychology.
3 - 1 Module 2: Types of Data This module describes the types of data typically encountered in public health applications. Recognizing and understanding.
MS 205 Quantitative Business Modeling
Chapter 1 The Nature of Probability and Statistics.
Why include statistics as part of Psychology?
Probability & Statistics
C OLLECTING D ATA I: Q UANTITATIVE METHODS John Perry.
STATISTICS is about how to COLLECT, ORGANIZE,
Introduction to Statistics What is Statistics? : Statistics is the sciences of conducting studies to collect, organize, summarize, analyze, and draw conclusions.
Biostatistics Ibrahim Altubasi, PT, PhD The University of Jordan.
Chapter 1: Introduction to Statistics. 2 Statistics A set of methods and rules for organizing, summarizing, and interpreting information.
Statistics 1 The Basics Sherril M. Stone, Ph.D. Department of Family Medicine OSU-College of Osteopathic Medicine.
Copyright © 1998, Triola, Elementary Statistics Addison Wesley Longman 1 Elementary Statistics M A R I O F. T R I O L A Copyright © 1998, Triola, Elementary.
Probability & Statistics – Bell Ringer  Make a list of all the possible places where you encounter probability or statistics in your everyday life. 1.
IR1IMEM RESEARCH METHODOLOGY Variables. INDEX Variables Based on Ch. 3, 4 & 5 of Kumar.
Section 1.1 Statistics Statistics :
Different types of variables. Issues to cover – in a flash 1.Quantitative variable (numeric variables) –1.1 Discrete variable –1.2 Continuous variable.
Chapter 1 Introduction to Statistics. Statistical Methods Were developed to serve a purpose Were developed to serve a purpose The purpose for each statistical.
Chapter 1 Measurement, Statistics, and Research. What is Measurement? Measurement is the process of comparing a value to a standard Measurement is the.
Understanding Research Design Can have confusing terms Research Methodology The entire process from question to analysis Research Design Clearly defined.
Statistics: Introduction Healey Ch. 1. Outline The role of statistics in the research process Statistical applications Types of variables.
Unit 1: Representing Data & Analysing 2D Data 1.1 Visual Displays of Data.
Handout week 1 course Renske Doorenspleet 1 Chapter 1 -A. The role of statistics in the research process -B. Statistical applications -C. Types of variables.
Chap 1-1 Chapter 1 Introduction and Data Collection Business Statistics.
Average Student. Rough Lesson PLan What type of information would we want to know?
MATH Elementary Statistics. Salary – Company A.
Vocabulary of Statistics Part Two. Variable classifications Qualitative variables: can be placed into distinct categories, according to some characteristic.
Selecting a Sample. Sampling Select participants for study Select participants for study Must represent a larger group Must represent a larger group Picked.
© 2011 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license.
© 2011 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license.
IDENTIFYING VARIABLES 1.  Something that varies.  Symbol to which numerals or values are attached.  Concept or its empirical measure that can take.
Variables It is very important in research to see variables, define them, and control or measure them.
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
Raymond Martin Lecture 6 – Measurement Data are: – pieces of observable information –limited by measurement Measurement is: –limiting.
Introduction To Statistics
1 PAUF 610 TA 1 st Discussion. 2 3 Population & Sample Population includes all members of a specified group. (total collection of objects/people studied)
1 What is Data? l An attribute is a property or characteristic of an object l Examples: eye color of a person, temperature, etc. l Attribute is also known.
Chapter 1: Section 2-4 Variables and types of Data.
Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc. Chap 1-1 Chapter 1 Introduction and Data Collection Basic Business Statistics 10 th Edition.
Introduction and Data Collection Basic Business Statistics 10 th Edition.
SECTION 1.2 TYPES OF DATA. Objectives 1. Understand the structure of a typical data set 2. Distinguish between qualitative and quantitative variables.
Copyright © 2016 The McGraw-Hill Companies, Inc. Permission required for reproduction or display. T YPES OF D ATA Section 1.2.
Types of Data Dr.Lely Lubna Alaydrus Community Medicine Department Aimst University.
Biostatistics Introduction Article for Review.
Modular 1. Introduction of the Course Structure and MyLabsPlus.
EPSY 5210 Ed. Statistics Instructor: Hector Ponce Background: Research Interest Experience with Quantitative Analysis Additional comments.
By: Michael Mack, Ana Meneses and Zhane’ Fleming.
2 NURS/HSCI 597 NURSING RESEARCH & DATA ANALYSIS GEORGE MASON UNIVERSITY.
Chapter 1 Introduction to Statistics 1-1 Overview 1-2 Types of Data 1-3 Critical Thinking 1-4 Design of Experiments.
Formulation of the objectives Variable vs
8.DATA DESCRIPTIVE.
T-test Tests the differences in the means between two groups
Types of Data.
Determining Levels, Understanding Constructs
The Nature of Probability and Statistics
Wednesday, September 23 Descriptive v. Inferential statistics.
Vocabulary of Statistics
The Nature of Probability and Statistics
The Nature of Probability and Statistics
Measurement of Variables
Operational Definitions,
Lecture Slides Essentials of Statistics 5th Edition
Presentation transcript:

Research Methods 1 Levels of Measurement

Self Assessment On completion of this session you should comprehend: §The differences between subjective measures and objective measures §The nature of interval, ratio, nominal and ordinal measures

From research question to data collection §Research hypothesis - operationalisation §What are you measuring and how are you going to measure it? §Independent and dependent variables

Variables? §Parameters/Properties that vary §Independent variable - what is the experimenter going to manipulate? §Dependent variable - what is the outcome that is to be measured?

Independent and Dependent Variables § The investigation of the effect of ultrasound therapy on pain intensity levels. § The investigation of the effect of aerobic exercise on perceived mood state.

Definition of measurement “All any measurement is is a parameter chosen to represent the concept.” Dane (1990)

Types of measurements §Objective - measurement of physical quantities and qualities using measurement equipment e.g. tape measure, electric weighing scales, goniometry §Subjective - ratings or judgements by humans of quantities and qualities e.g. rating ROM by eyeball estimation §Uses?

Types of measurements §Qualitative; A ‘quality’ of the subject e.g. gender, exam grade achieved etc. A characteristic or type not a measured amount. §Quantitative; A ‘quantity’ measured with numbers each number representing a measurement.

Types and Levels of measurements §Qualitative  Nominal  Ordinal  Quantitative §Discrete §Continuous  Interval  Ratio

Levels of Measurement §Nominal e.g. religion, eye colour §Ordinal e.g. age groups §Interval e.g. temperature ( o C), intelligence §Ratio e.g. temperature (Kelvin), heart rate

Characteristics of measurement levels

The Parameter or the measurement? §Continuous scale Ratio level-DiscreteHeight (m) §Ordinal scaleHeight categories: short, average and tall  Nominal scaleHeight Grouping: 1.7 m 1.2m < 1.50m 1.5m < 1.7m

Identify the Level of Measurement GenderSmokingActivity LevelResting Heart rate 1 = Male 1 = Smoker 1 = Never b.p.m. 2 = Female 2 = Non 2 = x 3 weekly 3 = x2 daily

Exercises §Identify one Qualitative measure and one Quantitative measure useful in your practice. §Identify one parameter from each level of measurement useful in your practice.

Exercises §Identify the level of measurement used in the journal articles chosen §Discuss the appropriateness of that measure §Suggest an alternative Level of Measurement