Basic Statistics 1 Measurement -- Professor Stipak presents --

Slides:

Advertisements

Similar presentations

Data Analysis Using R: 2. Descriptive Statistics Tuan V. Nguyen Garvan Institute of Medical Research, Sydney, Australia.

Advertisements

Do Now and Example for Notebook

Chapter 3 Measures of Central Tendency. Chapter Outline  Introduction  The Mode  The Median  Other Measures of Position: Percentiles, Deciles, and.

Operationalizing Concepts Issues in operationally defining your concepts, validity, reliability and scales.

Chapter 7 Measuring Instruments. ALL VARIABLES ARE NOT MEASURED THE SAME  Nominal Variables  Ordinal Variables  Interval Variables  Ratio Variables.

QBA 260 Chapter 1. Chapter 1 Topics Samples and Populations Samples and Populations Types of Data Types of Data Variables – Independent and Dependent.

Definition & Measurement “measurement is the beginning of science, … until you can measure something, your knowledge is meager and unsatisfactory” Lord.

Levels of measurement Question 1

Datasets and Variables We want to answer questions We want to use data for this purpose Observations of characteristics of cases Case: person, city, organization,

Measurement Concepts. CONSTRUCT VALIDITY OF MEASURES Indicators of Construct Validity Face validity Aggression questionnaire Not enough to really determine.

Nominal Level Measurement n numbers used as ways to identify or name categories n numbers do not indicate degrees of a variable but simple groupings of.

Chapter 13 Analyzing Quantitative data. LEVELS OF MEASUREMENT Nominal Measurement Ordinal Measurement Interval Measurement Ratio Measurement.

Correlation Patterns. Correlation Coefficient A statistical measure of the covariation or association between two variables. Are dollar sales.

Chapter 14 Analyzing Quantitative Data. LEVELS OF MEASUREMENT Nominal Measurement Nominal Measurement Ordinal Measurement Ordinal Measurement Interval.

Chapter 6 Measuring Instruments. ALL VARIABLES ARE NOT MEASURED THE SAME Nominal Variables Ordinal Variables Interval Variables Ratio Variables.

DESCRIBING DATA: 1. FREQUENCIES and FREQUENCY DISTRIBUTIONS.

Statistical Decision-Making Process: Decision Problem Statistical Plan Data Description and Summary Analysis and Conclusions Testing Validity of Results.

Business 205. Review of Previous Class Milestone #1 Groups Math Review Symbolic Manipulation Excel Review.

The General (LISREL) SEM model Ordinal variables p Alternative Fit indices p Error of Approximation p Model modification p

Types of Control I. Measurement Control III. Experimental Control II. Statistical Control (Reliability and Validity) (Internal Validity) (External Validity)

1 Measurement Adapted from The Research Methods Knowledge Base, William Trochim (2006). & Methods for Social Researchers in Developing Counries, The Ahfad.

The Black Panthers By: Alex Needles. What the Black Panthers were The Black Panthers were initially formed to protect local communities from brutality.

Business Research Method Measurement, Scaling, Reliability, Validity

Impacts of Sample Sizes in the American Community Survey Northwestern University Transportation Center.

Significance Testing 10/15/2013. Readings Chapter 3 Proposing Explanations, Framing Hypotheses, and Making Comparisons (Pollock) (pp ) Chapter 5.

1 Lecture 2: Types of measurement Purposes of measurement Types and sources of data Reliability and validity Levels of measurement Types of scale.

Statistics Introduction Part 2. Statistics Warm-up Classify the following as a) impossible, b) possible, but very unlikely, or c) possible and likely:

Statistics: Basic Concepts. Overview Survey objective: – Collect data from a smaller part of a larger group to learn something about the larger group.

What is a Measurement? Concept of measurement is intuitively simple  Measure something two concepts involved  The thing you are measuring  The measurement.

1 Diplomas Now / Talent Development Secondary Footprint – School Year Seattle 2 schools Los Angeles 3 schools San Antonio 2 schools Baton Rouge.

The main cities Washington Washington Chicago New York Chicago New York Boston Los Angeles Boston Los Angeles San Francisco.

Institute for Urban Policy and Research Analysis, Professor Tang November 19, 2013 Ryan Robinson City Demographer Planning & Development Review Department.

Week #12 Assignment For your Week #12 assignment, you will write your Methods and Results Chapters for your descriptive statistics.

Measurement & Attitude Scaling Chapter 10. Measurement Scaling  Concept  Operational Definition  Conceptual Definition  Rules.

B AD 6243: Applied Univariate Statistics Introduction to Statistical Concepts Professor Laku Chidambaram Price College of Business University of Oklahoma.

Effects: Example Low High Variable 2.

Methodology v v Type of research v v Design v v Data gathering procedures v v Data analysis procedures v v Population v v Sample and sampling.

Chapter 9 Correlational Research Designs. Correlation Acceptable terminology for the pattern of data in a correlation: *Correlation between variables.

1 PSY 230, Jacobs Welcome to PSY 230 Introduction to Statistics Elizabeth Jacobs, Ph.D.

Introduction to Statistics in Geography Chapter 1 of the textbook Pages 1-31.

Chapter 3 Measures of Central Tendency Three statistics: Mode, Median, Mean Mode median, and mean are three different statistics. They report three different.

1 UNIT 13: DATA ANALYSIS. 2 A. Editing, Coding and Computer Entry Editing in field i.e after completion of each interview/questionnaire. Editing again.

Do Now Take out the article you brought for homework. Describe how it uses statistics. If you didn’t bring an article… maybe just use something that you.

Research Methodology Lecture No :26 (Hypothesis Testing – Relationship)

3/3/2016Copyright Ed Lipinski and Mesa Community College, All rights reserved. 1 Research Methods Summer 2009 Making Systematic Observations.

Probability in Sampling. Key Concepts l Statistical terms in sampling l Sampling error l The sampling distribution.

MULTIVARIATE ANALYSIS. Multivariate analysis  It refers to all statistical techniques that simultaneously analyze multiple measurements on objects under.

 Confidence Intervals  Around a proportion  Significance Tests  Not Every Difference Counts  Difference in Proportions  Difference in Means.

The US in 1900 and today Jan 19, Population million Foreign born 7.4% Black 11.5% Hispanic ? Under 1840% Over 654% Married (age 18+)(60%)

MATH Section 7.2.

QNT 351 Week 2 DQ 3 Select four variables, other that what your fellow students have already selected, that could be measured by nominal, ordinal, interval,

BSHS 382 Week 2 DQ 2 Check this A+ tutorial guideline at 382/UOP%20BSHS-382-Week-2-DQ-2 Give two example of each:

Chapter 1 Chapter 1 Introduction to Statistics Larson/Farber 6th ed.

HW Page 23 Have HW out to be checked.

Active Learning Lecture Slides

REGRESSION G&W p

Multivariate Analysis with Parametric Statistics

Correlational Studies

Chapter 1 Chapter 1 Introduction to Statistics Larson/Farber 6th ed.

Module 6: Descriptive Statistics

Computing Reliability

Elementary Statistics: Picturing The World

Methods Chapter Format Sources of Data Measurements

Wednesday, September 23 Descriptive v. Inferential statistics.

Types of Control I. Measurement Control II. Statistical Control

Reliability and Validity

Chapter 1 Chapter 1 Introduction to Statistics Larson/Farber 6th ed.

MG3117 Issues and Controversies in Accounting

Chapter 1 Chapter 1 Introduction to Statistics Larson/Farber 6th ed.

Reliability and validity

Presentation transcript:

Basic Statistics 1 Measurement -- Professor Stipak presents --

Simple Statistics Example How do we report motor vehicle theft rates?

Simple Statistics Example How do we report motor vehicle theft rates? Accepted practice: Thefts per 1000 population Alternative: Thefts per 1000 motor vehicles

Motor Vehicle Theft Rates: Thefts / 1000 Population New York City12 Chicago16 Philadelphia19 Los Angeles20 Detroit22

Motor Vehicle Theft Rates: Thefts / 1000 Motor Vehicles Los Angeles34 Chicago45 Detroit47 Philadelphia49 New York City53

Measurement: Importance Measurement Data Statistics

Measurement: Overview Basic Concepts Levels of Measurement Validity/Reliability

Measurement: Basic Concepts UOA / Case Variable Value –Record data in a table: rows-cases, cols-variables

Measurement: Levels Ratio Interval Ordinal Nominal

Data In Public Agencies Types of data in agencies Sources of data Types of datasets, examples: census data, merged data

Measurement: Quality Reliability of Measurement Validity of Measurement Measurement Error