Analysis Plan and Procedure. Why do we need to analyze? Descriptive Results Index Scores Service Net Scores Service Area Net Scores Overall Index Score.

Slides:



Advertisements
Similar presentations
Multiple Indicator Cluster Surveys Data Dissemination - Further Analysis Workshop Basic Concepts of Further Analysis MICS4 Data Dissemination and Further.
Advertisements

Multiple Indicator Cluster Surveys Data Interpretation, Further Analysis and Dissemination Workshop Basic Concepts of Further Analysis.
Preparing Data for Quantitative Analysis
Learning Objectives Copyright © 2004 John Wiley & Sons, Inc. Data Processing, Fundamental Data Analysis, and Statistical Testing of Differences CHAPTER.
Feedback on Seniors’ House Survey with the current clients and families March, 2015.
Primary and Secondary Data
Survey Results September Survey Information There is an error margin of ±3.6 on this survey. South Ogden City sent out 5,300 surveys and received.
Brown, Suter, and Churchill Basic Marketing Research (8 th Edition) © 2014 CENGAGE Learning Basic Marketing Research Customer Insights and Managerial Action.
SPSS Session 1: Levels of Measurement and Frequency Distributions
Statistics and Data Analysis Sicko and the US’s 37 th Ranked Health Care System.
Comparing Job Demands, Coping Resources and Well-being Across Different Health Care Providers Working Together Jane B Lemaire MD, Jean E Wallace PhD, Janet.
Measurement in Survey Research Developing Questionnaire Items with Respect to Content and Analysis.
A survey is only as good as the questions it asks
INTERPRET MARKETING INFORMATION TO TEST HYPOTHESES AND/OR TO RESOLVE ISSUES. INDICATOR 3.05.
© 2002 Prentice-Hall, Inc.Chap 1-1 Statistics for Managers using Microsoft Excel 3 rd Edition Chapter 1 Introduction and Data Collection.
Appraisal in Counseling Session 2. Schedule Finish History Finish History Statistical Concepts Statistical Concepts Scales of measurement Scales of measurement.
MR2300: MARKETING RESEARCH PAUL TILLEY Unit 10: Basic Data Analysis.
Basic Business Statistics (8th Edition)
Quantifying Data.
C o n f i d e n c e p e r f o r m a n c e d i s t i n c t i o n q u a l i t y Nursing Facility Family Satisfaction Survey Report Prepared for: Wiley Mission.
Chapter 3: Central Tendency
Indexes, Scales, and Typologies
Central Tendency In general terms, central tendency is a statistical measure that determines a single value that accurately describes the center of the.
MS 205 Quantitative Business Modeling
Statistics Used In Special Education
Think of a topic to study Review the previous literature and research Develop research questions and hypotheses Specify how to measure the variables in.
Chapter 3: Marketing Intelligence Copyright © 2010 Pearson Education Canada1.
Data collection compiled by Anna Bączkowska 2  Questionnaires  Interviews  Accounts  Observation  tests.
Student Engagement Survey Results and Analysis June 2011.
Chapter Eight The Concept of Measurement and Attitude Scales
IMPACT OF BLANTYRE TEEN CLUB( BTC) ON THE LIVES OF HIV- POSITIVE TEENS AND THEIR GUARDIANS. Munkhondya, B., Kapito, E., Chamanga, R., Chadza, E., Bwazi,
Copyright © 2007 Pearson Education Canada 3-1 Marketing Research Marketing research serves many roles. It can: 1.Link companies with customers via information.
BEST Survey 2010 City report: Helsinki Benchmarking in European Service of public Transport.
BEST Survey 2011 City report: Stockholm Benchmarking in European Service of public Transport.
Market Research Lesson 6. Objectives Outline the five major steps in the market research process Describe how surveys can be used to learn about customer.
Crossing Methodological Borders to Develop and Implement an Approach for Determining the Value of Energy Efficiency R&D Programs Presented at the American.
Benchmarking in European Service of public Transport (BEST) Main results of the BEST 2010 Survey.
COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Instructor: Dr. John J. Kerbs, Associate Professor Joint Ph.D. in Social Work and Sociology.
Introduction Biostatistics Analysis: Lecture 1 Definitions and Data Collection.
T. Brzostek 1, L. Przewoźniak 1, P.Brzyski 1, M. Kózka 1, K.Gajda 1, M.Cisek 1, L. Aiken 2, W. Sermeus 3 1.Jagiellonian University Medical College, Krakow,
Alachua County Community Survey Report. Report Outline Analysis of survey tool Description of population and sample Zip Code Response Rates Findings Other.
Survey Methodology Four Point Scale Very SatisfiedSatisfiedDissatisfiedVery Dissatisfied.
Teacher Engagement Survey Results and Analysis June 2011.
Part 3 UNDERSTANDING CUSTOMER REQUIREMENTS. Company Perceptions of Consumer Expectations Expected Service CUSTOMER COMPANY Listening Gap Provider Gap.
Question Development. Steps in the Measurement Process The researcher must determine which level is appropriate for the data that will contribute to management.
Chap 1-1 Chapter 1 Introduction and Data Collection Business Statistics.
IIC University of Technology Course: Statistics and Probability Year 2 & 4, semester 1 Lecturer: Mr. Yuk Sovandara.
School Store Operations
BEST SURVEY 2007 Report Copenhagen BEST 2007 BEST Survey Contents About the survey Participants Sample Method How to read the graphs Overall.
Elang 273: Statistics. Review: Scientific Method 1. Observe something 2. Speculated why it is so and form hypothesis 3. Test hypothesis by getting data.
Chapter 3: Central Tendency. Central Tendency In general terms, central tendency is a statistical measure that determines a single value that accurately.
ZOOM ZOOM INDICATORS Nov 2003 U.S. Zoom Media Research.
Chapter 7 Measuring of data Reliability of measuring instruments The reliability* of instrument is the consistency with which it measures the target attribute.
Canadian Marketing in Action, 6 th ed. Keith J. Tuckwell ©2004 Pearson Education Canada Inc. 3-1 Marketing Research Marketing research serves many roles.
Basic Business Statistics, 8e © 2002 Prentice-Hall, Inc. Chap 1-1 Inferential Statistics for Forecasting Dr. Ghada Abo-zaid Inferential Statistics for.
Survey Of KOICA Training Programs Evaluation Dear Participants This questionnaire survey is designed to evaluate the KOICA training program you attended.
Chapter 3: Central Tendency 1. Central Tendency In general terms, central tendency is a statistical measure that determines a single value that accurately.
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.
 Marketing Information System: A set of procedures and methods that regularly generates, stores, analyzes, and distributes information for use in making.
DESIGNING GOOD SURVEYS Laura P. Naumann Assistant Professor of Psychology Nevada State College.
Attitude Scales Measurements
ScWk 298 Quantitative Review Session
1 Chapter.
Warm up – Unit 4 Test – Financial Analysis
Computing A Variable Mean
Departure View Glossary
Chapter 2 Describing, Exploring, and Comparing Data
Indicator 3.05 Interpret marketing information to test hypotheses and/or to resolve issues.
Assessment of the Selection Process for the 2004 National List for Essential Drugs (NLED) of Thailand Yoongthong W1, Kunaratanapruk S1, Sumpradit N1,
Presentation transcript:

Analysis Plan and Procedure

Why do we need to analyze? Descriptive Results Index Scores Service Net Scores Service Area Net Scores Overall Index Score Adjectival Ratings Recommendati ons To transform data into information that the audiences can identify with To generate insights that the audience can use to formulate recommendations or actions

Awareness AvailmentSatisfaction Core Concepts Importance

Citizen Satisfaction Health Services Support to Education Social Welfare Services Governance & Response Public Works & Infrastructure EnvironmentalManagement AgriculturalSupport Tourism Promotion Services Service Areas

What we should know first? Descriptive Results versus Index Scores

CSIS Analysis Descriptive ResultIndex Score Frequency/Count, Percentage It describes the sample only based on the number of responses How many said they were definitely satisfied? Net Scores, composite or combination of scores It summarizes data to provide more information There is deliberate identification of items. What is their level of satisfaction on health services?

Descriptive Results Item Aware Total Number of Responses Percentage YesNo Vaccination for infants/children % Pre-natal/post-natal/child birth services % Free General Consultations/Access to secondary and/or tertiary health Care % Free Basic Medicine or Low-Cost Medicine Program % Prevention and management of Communicable and Non- Communicable Diseases % Basic dental/oral hygiene %

Descriptive Results Frequencies of responses –Example: 67 said they were aware of vaccination services Percentages –Example: 44.67% of the 150 respondents said they were aware of vaccination services

Index Scores Item Aware Total Number of Responses Item Net Score Yes (A1)No (A2) Vaccination for infants/children Pre-natal/post-natal/child birth services Free General Consultations/Access to secondary and/or tertiary health Care Free Basic Medicine or Low-Cost Medicine Program Prevention and management of Communicable and Non- Communicable Diseases Basic dental/oral hygiene

How are frequencies and index scores generated? Questionnaires Frequencies Database or Statistics Software Index Generator Index Scores

Area Awareness Computation

Item Awareness Net Score = (yes – no) / total number of responses Score Range: -1 ~ 1 1 is the highest possible positive score Service Area Awareness Net Score = sum of all item net scores / total number of subareas * 100 Awareness: Index Scores Computation

Area Availment Computation

Scoring: Availment Item Availment Score = yes / total number of responses Score Range: 0~1 1 is the highest possible positive score Service Area Availment Score =sum of all item net scores / total number of subareas * 100 Availment: Index Scores Computation

Satisfaction Net Score Computation

Importance Net Score Computation

Weighted Scores Definitely Satisfied/ Very Important = frequency x 2 Satisfied/Somewhat Important = frequency x 1 Can’t say = frequency x 0 Dissatisfied/ Somewhat not Important = frequency x -1 Definitely Dissatisfied / Not at all Important = frequency x -2 Item net score = sum of all weighted frequencies / total number of responses (average) Service Area Net Score = (sum of all item net scores / total number of sub-areas * 2 ) * 100 Score Range: -2 ~ 2 2 is the highest possible positive score Satisfaction/Importance: Index Scores Computation

Index Scores Computation Computing the Overall Citizen Awareness Index Score. The score will be computed by adding the area citizen awareness score divided by the total number of areas (8). Computing the Overall Citizen Availment Index Score. The score will be computed by adding the area citizen availment score divided by the total number of areas (8). Computing the Overall Citizen Assessment/ Satisfaction Index Score. The score will be computed by adding the area citizen satisfaction score divided by the total number of areas (8). Computing the Overall Citizen Needs/ Importance Index Score. The score will be computed by adding the area citizen satisfaction score divided by the total number of areas (8).

Criterion Reference Rating

What you will need: –Importance Index Scores of all Service Areas –Satisfaction Index Scores of all Service Areas –Leverage Plotter Importance VS Satisfaction Computation

*Adopted from Customer Leverage Analysis

Importance-Satisfaction Leverage Analysis

Citizens’ Attitude Toward the Local Government Unit

Weighted Scores (LBCi-LBCIv) Definitely Agree= frequency x 2 Agree = frequency x 1 Can’t Say = frequency x 0 Disagree = frequency x -1 Definitely Disagree = frequency x -2 Item net score = sum of all weighted scores / total number of responses (average) *100/2 Score Range: -2 ~ 2 2 is the highest positive score possible Attitudes of Citizens Toward LGU: Index Scores Computation

L2: In the next five years, will you choose to stay in your current city or transfer to another one? –Get the frequency of those who said yes and divide it by the total number of responses L3: What is your primary consideration/issue regarding your decision? ? –%, ranked –Split the results between “leave” and “stay” participants Attitudes of Citizens Toward LGU: Index Scores Computation

Optional Analysis Disaggregation of descriptive results (Aw, Av, Sat and Imp) by barangay Disaggregation of service area index scores by socio-demographic category –For example: beneficiary of Pantawid Pamilya, sex, age, house ownership, source of news etc. Cross Tabulation of between Index Scores per Socio-demographic indicator

Citizen Satisfaction Index System