Types of question and types of variable Training session 4 GAP Toolkit 5 Training in basic drug abuse data management and analysis.

Slides:



Advertisements
Similar presentations
The Regression Equation  A predicted value on the DV in the bi-variate case is found with the following formula: Ŷ = a + B (X1)
Advertisements

TYPES OF DATA. Qualitative vs. Quantitative Data A qualitative variable is one in which the “true” or naturally occurring levels or categories taken by.
Question Development. Steps in the Measurement Process The researcher must determine which level is appropriate for the data that will contribute to management.
Here, pal! Regress this! presented by Miles Hamby, PhD Principle, Ariel Training Consultants MilesFlight.20megsfree.com Or, How to Use.
SPSS Session 1: Levels of Measurement and Frequency Distributions
Data analysis: Explore GAP Toolkit 5 Training in basic drug abuse data management and analysis Training session 9.
Measurement in Marketing Research
GAP Toolkit 5 Training in basic drug abuse data management and analysis Training session 6 Coding open questions.
Data analysis: cross-tabulation GAP Toolkit 5 Training in basic drug abuse data management and analysis Training session 11.
Predictive Analytics Software: What Statistics Can Do for You Brett Deneckere Dr. Kimberly Dodson April 26, 2011 A “Living Legend” Production.
Levels of measurement Question 1
Research Ethics Levels of Measurement. Ethical Issues Include: Anonymity – researcher does not know who participated or is not able to match the response.
Ka-fu Wong © 2003 Chap 1-1 Dr. Ka-fu Wong ECON1003 Analysis of Economic Data.
ROBERT MORRIS UNIVERSITY
Statistics—Chapter 2 Levels of Measurement. Classifying Variables by Levels of Measurement Levels of measurement—the way researchers collect data Survey.
Sociology 601: Class 1, September Syllabus Course website Objectives Prerequisites Text Homeworks Class time Exams Grading Schedule.
Levels of Measures Undergraduate Motor Learning. Types of Measures Nominal –lowest level of measurement. The nominal level measurement places people,
Basic Statistics for Research: Choosing Appropriate Analyses and Using SPSS Dr. Beth A. Bailey Dr. Tiejian Wu Department of Family Medicine.
CHAPTER 14, QUANTITATIVE DATA ANALYSIS. Chapter Outline  Quantification of Data  Univariate Analysis  Subgroup Comparisons  Bivariate Analysis  Introduction.
Measurement and Measurement Scales Measurement is the foundation of any scientific investigation Everything we do begins with the measurement of whatever.
Unit 1 Section 1.2.
The Practice of Social Research
STATISTICS.
Hypothesis Testing for Ordinal & Categorical Data EPSY 5245 Michael C. Rodriguez.
Principles of Epidemiology Dona Schneider, PhD, MPH, FACE.
Coding closed questions Training session 5 GAP Toolkit 5 Training in basic drug abuse data management and analysis.
Probability & Statistics
Data collection compiled by Anna Bączkowska 2  Questionnaires  Interviews  Accounts  Observation  tests.
Describing Univariate Distributions. Learning Goals  Use “level of measurement” to decide how to describe the variable distribution  Understand frequency.
1-1 Chapter One McGraw-Hill/Irwin © 2005 The McGraw-Hill Companies, Inc., All Rights Reserved.
Variables and Types of Data.   Qualitative variables are variables that can be placed into distinct categories, according to some characteristic or.
Chapter 1: The What and the Why of Statistics
STAGES OF SOCIAL RESEARCH Formulation of the Research Problem Research Design Measurement 1.Select variables of interest 2.Identify types and levels of.
AN INTRODUCTION DATA COLLECTION AND TERMS POSTGRADUATE METHODOLOGY COURSE.
Section 1.1 Statistics Statistics :
1-1 Chapter One McGraw-Hill/Irwin © 2005 The McGraw-Hill Companies, Inc., All Rights Reserved.
McGraw-Hill/ Irwin © The McGraw-Hill Companies, Inc., 2003 All Rights Reserved. 1-1 Chapter One What is Statistics? GOALS When you have completed this.
Question Development. Steps in the Measurement Process The researcher must determine which level is appropriate for the data that will contribute to management.
An Overview of Statistics Section 1.1. Ch1 Larson/Farber 2 Statistics is the science of collecting, organizing, analyzing, and interpreting data in order.
Vocabulary of Statistics Part Two. Variable classifications Qualitative variables: can be placed into distinct categories, according to some characteristic.
Measurement of Variables
What is Statistics Chapter 1.
Bell Ringer Using female = 0 and male = 1, calculate the average maleness in this classroom.
Educational Research: Competencies for Analysis and Application, 9 th edition. Gay, Mills, & Airasian © 2009 Pearson Education, Inc. All rights reserved.
STATISTICS: TYPES OF VARIABLES Claire 12B. Qualitative Variables  A qualitative variable is a categorical variable that represents different groups and.
IDENTIFYING VARIABLES 1.  Something that varies.  Symbol to which numerals or values are attached.  Concept or its empirical measure that can take.
I. Introduction to Data and Statistics A. Basic terms and concepts Data set - variable - observation - data value.
Preparing to Analyse Data C.Adithan Department of Pharmacology JIPMER Pondicherry
1 Introduction to Statistics. 2 What is Statistics? The gathering, organization, analysis, and presentation of numerical information.
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)
Measurements Statistics WEEK 6. Lesson Objectives Review Descriptive / Survey Level of measurements Descriptive Statistics.
Types of Data Dr.Lely Lubna Alaydrus Community Medicine Department Aimst University.
SCIENTIFIC RESEARCH PROCESS Levels of Measurement.
Introduction to Biostatistics Lecture 1. Biostatistics Definition: – The application of statistics to biological sciences Is the science which deals with.
Statistics Terminology. What is statistics? The science of conducting studies to collect, organize, summarize, analyze, and draw conclusions from data.
What is Statistics Chapter 1.
DATA TYPES.
SPSS For a Beginner CHAR By Adebisi A. Abdullateef
Pharmaceutical Statistics
Introduction to SPSS SOCI 301 Lab session.
Measurements Statistics
What is Statistics Chapter 1.
مقدمة في الإحصاء الحيوي مع تطبيقات برنامج الحزم الإحصائية SPSS
Understanding Averages
Types of question and types of variable
Vocabulary of Statistics
PBH 616: Quantitative Research Method
What is Statistics Chapter 1.
Preparing for Research
Unit 8. Types of scales and data
Presentation transcript:

Types of question and types of variable Training session 4 GAP Toolkit 5 Training in basic drug abuse data management and analysis

Objectives Define a range of classifications for questions and variables Discuss the use of levels of measurement in defining variables in SPSS

Types of question Closed, open “Factual” and attitudinal

Closed questions The respondent selects from a list of mutually exclusive and collectively exhaustive answers The answers are pre-coded

Example Has the patient been in treatment prior to this episode?  Yes (1)  No (0)

Example In the last 30 days, how many times (if any) have you had 5 or more drinks in a row?  None  1  2  3-5  6-9  10 or more

“Other” Category An option on all but the simplest closed questions Ensures the list of options are exhaustive Allows flexibility in response Post-coded rather than pre-coded

Example Type of centre:  Specialized treatment centre  Therapeutic community  General hospital  Psychiatric hospital/unit  Other (specify): …………………………..

Dichotomous questions A subset of closed questions There are only two possible answers The answers are mutually exclusive and collectively exhaustive

Examples 1. Gender:  Male  Female 2. Has the patient been in treatment prior to this episode?  Yes  No

Multiple-response questions The question allows more than one response The categories are not mutually exclusive Frequently, a grouping of dichotomous closed questions

Example Mode of ingestion of primary substance (X all that apply):  Swallow  Smoke  Snort  Inject  Other (specify): ……………………………….

Likert Scales A type of closed question Designed to measure attitudes

Example Do you disapprove of people doing each of the following: –Trying marijuana once or twice  Don’t approve  Disapprove  Strongly disapprove  Don’t know –Smoking marijuana occasionally (options repeated)

Open questions There are no constraints on the respondent’s answer The answers cannot be predicted before the questionnaires are presented The answers must be coded after the questionnaires are collected

Examples 1.Q30. Which new drugs or new patterns of use have been reported? 2.Q13. Indicate primary substance of abuse, that is, the most frequently used 3.Other (specify): ……………………..

Exercise: discussion Do Open or Closed questions appear more frequently in the questionnaires used by your specific focal group? Give reasons/possible explanations for these choices.

Response types Factual/attitudinal Direct/indirect

Types of variable Levels of measurement Types of variation Categorical vs. continuous

Levels of measurement Nominal Ordinal Interval Ratio

Nominal The data describe an attribute The set of possible values the variable can contain are mutually exclusive and collectively exhaustive categories The categories cannot be objectively measured against each other

Examples: nominal data Gender: male and female Location: urban and rural Religion: Christian, Hindu, Muslim, Jew Race: white, black, coloured, mixed Referral source: self, employer, court

Ordinal The data are broken into categories that can be ranked It is not possible to quantify the difference between the categories

Example: ordinal Level of education:  None  Primary  Secondary  Tertiary

Interval The data are measured on a continuous scale, not simply ranked The units of measurement are constant There is no absolute 0

Example: interval Temperature: –Fahrenheit or Celsius Measured on a continuous scale No absolute 0

Ratio The data are measured on a continuous scale, not simply ranked The units of measurement are constant There is an absolute 0

Examples: ratio Age Income Temperature on the Kelvin Scale

Types of variation Nominal: equal categories Ordinal: ordered categories Interval and ratio: a continuous scale

Types of variation Qualitative: nominal Quantitative: interval and ratio Quantitative and qualitative: ordinal

Exercise: identify the levels of measurement Name of treatment centre Referral source Gender Age Home language Region of permanent residence Highest level of education completed Employment status Current marital status How old was the patient when they first began using drugs regularly?

Level of measurement in SPSS Nominal Ordinal Scale

Exercise: measure Return to Ex1.sav and set the level of measurement for the variables ID, DRUG, AGE and COND Save the file

Summary Question types: –Closed/Open –Factual/Attitudinal Variable types: –Levels of measurement –Discrete (categorical)/continuous –Quantitative/qualitative