Florida Legislature Office of Program Policy Analysis & Government Accountability 1 Overview of Quantitative Research Methods.

Slides:



Advertisements
Similar presentations
CHAPTER TWELVE ANALYSING DATA I: QUANTITATIVE DATA ANALYSIS.
Advertisements

Health Outcomes Research and Policy Center Joseph Thomas III, M.S., Ph.D., FAPhA.
Data Profile of Ohio Medicaid Nursing Facility and Nursing Facility Level of Care Consumers State Fiscal Year 2007 July 2006 through June 2007 Dave Dorsky.
Psychology: A Modular Approach to Mind and Behavior, Tenth Edition, Dennis Coon Appendix Appendix: Behavioral Statistics.
Table of Contents Exit Appendix Behavioral Statistics.
QUANTITATIVE DATA ANALYSIS
Chapter 14 Analyzing Quantitative Data. LEVELS OF MEASUREMENT Nominal Measurement Nominal Measurement Ordinal Measurement Ordinal Measurement Interval.
2. Forecasting. Forecasting  Using past data to help us determine what we think will happen in the future  Things typically forecasted Demand for products.
Summary of Quantitative Analysis Neuman and Robson Ch. 11
EVIDENCE BASED MEDICINE
POSC 202A: Lecture 2 Homework #1: 1.2, 1.44, 1.54, 1.62,1.74, 3.2, 3.6, 3.52, 3.54, 3.60, 3.67, 3.70 Today: Research Designs, Mean, Variance.
Cost-of-Education Index Study Presentation to the Joint Committee on Public School Finance January 24, 2002.
MEASURES OF CENTRAL TENDENCY TENDENCY 1. Mean 1. Mean 2. Median 2. Median 3. Mode 3. Mode.
Describing Data Statisticians describe a set of data in two general ways. Statisticians describe a set of data in two general ways. –First, they compute.
©Truven Health Analytics Inc. All Rights Reserved. 1 Jessica Kasten and Rebecca Woodward August 14 th - 15 th 2014 Minnesota LTSS Service Access Study:
Impact of Restrictive State Policies on Utilization and Expenditures in the Medicaid Program Roberto Vargas, MD, MPH 1,2 Carole Gresenz, PhD 2 Jessie Riposo,
Describing Data Using Numerical Measures. Topics.
Time Series Analysis and Forecasting
Average Arithmetic and Average Quadratic Deviation.
Measures of Central Tendency And Spread Understand the terms mean, median, mode, range, standard deviation.
THE URBAN INSTITUTE Examining Long-Term Care Episodes and Care History for Medicare Beneficiaries: A Longitudinal Analysis of Elderly Individuals with.
Recap of data analysis and procedures Food Security Indicators Training Bangkok January 2009.
Using Willingness to Pay to Evaluate Hospital Mergers: Results from 16 Mergers Presented by Rich Lindrooth Co-authors: David Dranove Mark Satterthwaite.
CEN st Lecture CEN 4021 Software Engineering II Instructor: Masoud Sadjadi Monitoring (POMA)
Measures of Central Tendency Foundations of Algebra.
LECTURE: AL MUIZZUDDIN F., SE., ME. Nilai Sentral.
Semester 2: Lecture 3 Quantitative Data Analysis: Univariate Analysis II Prepared by: Dr. Lloyd Waller ©
Three Broad Purposes of Quantitative Research 1. Description 2. Theory Testing 3. Theory Generation.
Chapter 14 Compensation Control & Administration Harcourt, Inc. items and derived items copyright © 2001 by Harcourt, Inc. All rights reserved. Requests.
Chapter Eight: Using Statistics to Answer Questions.
Average Arithmetic and Average Quadratic Deviation.
8-2 Measures of Central Tendency and Range. Measure of Central Tendency  A number used to describe the center of a set of data  Mean, Median, Mode.
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.
Why do we analyze data?  It is important to analyze data because you need to determine the extent to which the hypothesized relationship does or does.
Circle Graphs 3.1b Read, interpret, and draw conclusions from data displays. 3.3a Evaluate arguments that are based on data displays.
Why do we analyze data?  To determine the extent to which the hypothesized relationship does or does not exist.  You need to find both the central tendency.
Welcome to MDM4U (Mathematics of Data Management, University Preparation)
Chapter15 Basic Data Analysis: Descriptive Statistics.
Research: Analyzing the Data Now that data has been gathered from a correlational, descriptive, or experimental research method, it’s time to analyze.
Use with Management and Cost Accounting 8e by Colin Drury ISBN © 2012 Colin Drury Part Six: The application of quantitative methods to management.
Exploratory data analysis, descriptive measures and sampling or, “How to explore numbers in tables and charts”
CHAPTER 3 – Numerical Techniques for Describing Data 3.1 Measures of Central Tendency 3.2 Measures of Variability.
Educational Research Descriptive Statistics Chapter th edition Chapter th edition Gay and Airasian.
Unit 10 – Statistics and Research (Ugghhh!!). The Process Understanding statistics is research can be challenging When evaluating a research report, you.
Lecture 8 Data Analysis: Univariate Analysis and Data Description Research Methods and Statistics 1.
Lecture 10 Regression Analysis
VAM Primer.
Basic Data Analysis: Descriptive Statistics
Forecasting Methods Dr. T. T. Kachwala.
Carina Omoeva, FHI 360 Wael Moussa, FHI 360
The sales comparison approach
Research Methodology Lecture No :25 (Hypothesis Testing – Difference in Groups)
Figure 3. Conceptual framework.
Measures of Central Tendency
Introduction To Statistics
Measures of Central Tendency
Single Variable Data Analysis
HCBS Claims Analysis Chartbook: A Final Report
Basic Data Analysis: Descriptive Statistics
Notes Over 7.7 Finding Measures of Central Tendency
Module 8 Statistical Reasoning in Everyday Life
Collecting & Displaying Data
Measures of Central Tendency
Admin. & Net Cost of Private Health Insurance
Introduction To Statistics
Questionnaires Jerry Post Copyright © 1997
15.1 The Role of Statistics in the Research Process
Creating Data Sets Central Tendencies Median Mode Range.
Analyzing Reliability and Validity in Outcomes Assessment
Presentation transcript:

Florida Legislature Office of Program Policy Analysis & Government Accountability 1 Overview of Quantitative Research Methods

Florida Legislature Office of Program Policy Analysis & Government Accountability Training Overview Describes when quantitative analyses are appropriate Describes when quantitative analyses are appropriate Provides an overview of four techniques Provides an overview of four techniques Describing the central tendency and variation in a group Describing the central tendency and variation in a group Analyzing trends in program expenditures Analyzing trends in program expenditures Regression analysis Regression analysis Survival analysis Survival analysis 2

Florida Legislature Office of Program Policy Analysis & Government Accountability 3 Elements of a Finding Criteria Criteria Condition Condition Significance Significance Cause Cause Recommendation Recommendation

Florida Legislature Office of Program Policy Analysis & Government Accountability 4 Questions Addressed by Quantitative Analysis How typical? How typical? What fraction? What fraction? How many or how much? How many or how much? What has changed? What has changed? How does one group compare with other groups? How does one group compare with other groups?

Florida Legislature Office of Program Policy Analysis & Government Accountability 5 The Power of Quantitative Analysis Where anecdotes can provide rich descriptions of a few, quantitative analysis can be used to describe large aggregates Where anecdotes can provide rich descriptions of a few, quantitative analysis can be used to describe large aggregates Quantitative analysis enjoys the legitimacy of the “objectivity” promised by mathematical analysis Quantitative analysis enjoys the legitimacy of the “objectivity” promised by mathematical analysis

Florida Legislature Office of Program Policy Analysis & Government Accountability 6 Techniques Describing groups - central tendency and variation Describing groups - central tendency and variation Analyzing trends in program expenditures Analyzing trends in program expenditures Regression analysis Regression analysis Survival analysis Survival analysis

Florida Legislature Office of Program Policy Analysis & Government Accountability Central Tendency and Variation Mean (average) Mean (average) Median Median Mode Mode Range Range 7

Florida Legislature Office of Program Policy Analysis & Government Accountability 8 Teacher Salaries: District A Avg. = $40,300

Florida Legislature Office of Program Policy Analysis & Government Accountability 9 Teacher Salaries: District B Avg. = $40,300

Florida Legislature Office of Program Policy Analysis & Government Accountability 10 Teacher Salaries: District C Avg. = $40,300

Florida Legislature Office of Program Policy Analysis & Government Accountability 11 Teacher Salaries: District D Avg. = $40,300

Florida Legislature Office of Program Policy Analysis & Government Accountability Analyzing Trends in Expenditures Annual percent change Annual percent change Average annual percent change Average annual percent change Disaggregating expenditures Disaggregating expenditures 12

Florida Legislature Office of Program Policy Analysis & Government Accountability Measures of Change Annual percent change Annual percent change ($ T2 - $ T1 ) / $ T1 or ($ T2 / $ T1 ) - 1 Average annual percent change Average annual percent change ($ T5 / $ T1 ) 1 / (# years*) – 1 * # of years = 4 in this case 13

Florida Legislature Office of Program Policy Analysis & Government Accountability 14 Trends in Medicaid Expenditures Fiscal YearTotal Medicaid Expenditures Average Annual % Increase Medicaid Prescription Drug Expenditures Average Annual % Increase $6,139,478,988$608,513, $6,281,428,233$730,569, $6,611,527,446$845,774, $6,946,629,422$1,027,454, $7,763,865,8176.0%$1,313,358, %

Florida Legislature Office of Program Policy Analysis & Government Accountability 15 Disaggregating Expenditures Into Factors Driving Expenditures Factors Driving Drug Expenditures FY FY Average Annual % Increase Total Expenditures (Volume x Price) $608,513,970$1,313,358, % Volume (# of prescriptions)17,689,06822,158,9125.8% Population (# enrollees)1,150,1621,155,0790.1% Utilization (scripts / enrollee) % Price$34.40$ %

Florida Legislature Office of Program Policy Analysis & Government Accountability 16 Regression Analysis Y = a + B(X1) + B(X2) + B(X3) +... Regression analysis estimates Y given values of X1, X2, X3, etc. The Bs indicate the independent effect the Xs have on Y.

Florida Legislature Office of Program Policy Analysis & Government Accountability 17 Estimating Hospice Expenditures Total Expenditures Hospices reporting expenditures (N=37) $910,272,301 Hospices not reporting expenditures (N=6) $0

Florida Legislature Office of Program Policy Analysis & Government Accountability 18 Estimating Hospice Expenditures

Florida Legislature Office of Program Policy Analysis & Government Accountability 19 Estimating Hospice Expenditures Total Expenditures Hospices reporting expenditures (N=37) $910,272,301 Hospices not reporting expenditures (N=6) $193,073,565 Total$1,103,345,866

Florida Legislature Office of Program Policy Analysis & Government Accountability 20 Average 3-Yr. Costs Per Person Total $ Nursing Home $ Waiver $ Other $ Non- waiver $39,896$25,556$0$14,340 Waiver$59,497$3,937$53,575$1,985 Examining Cost Effectiveness

Florida Legislature Office of Program Policy Analysis & Government Accountability 21 Avg. Total $ Avg. Months Avg. Monthly $ Adj. Monthly $ Non- waiver $39, $2,046$2,558 Waiver $59, $2,271$2,657 Difference$225$99 Examining Cost Effectiveness

Florida Legislature Office of Program Policy Analysis & Government Accountability Survival Analysis Kaplan-Meier Kaplan-Meier Cox regression Cox regression 22

Florida Legislature Office of Program Policy Analysis & Government Accountability 23 Survival Analysis – How Long Until?

Florida Legislature Office of Program Policy Analysis & Government Accountability Review 1.Under what conditions is the mean (average) not the best measure of central tendency? 2.What are the best measures of central tendency under these conditions? 24

Florida Legislature Office of Program Policy Analysis & Government Accountability Review Why is using the geometric mean for the average annual percent change more appropriate than average of the annual percent changes in column B? 25 YearExpendituresAnnual percent change Avg. annual percent change (geometric mean) 2006$500, $525, % 2008$526, % 2009$535, % 2010$542, %2.04%

Florida Legislature Office of Program Policy Analysis & Government Accountability Review What are some instances where it would be important to adjust for the characteristics of members of a group when comparing multiple groups on an outcome (e.g., cost effectiveness)? What are some instances where it would be important to adjust for the characteristics of members of a group when comparing multiple groups on an outcome (e.g., cost effectiveness)? Would regression analysis be appropriate? Would regression analysis be appropriate? 26

Florida Legislature Office of Program Policy Analysis & Government Accountability Review Survival analysis techniques are a better alternative to estimating how long it takes an event to occur (e.g., release from a treatment facility). What is the disadvantage of the more commonly used average length of stay for persons released in a year? 27