HOW TO PASS AS 91266 EVALUATING STATISTICAL REPORTS.

Slides:



Advertisements
Similar presentations
Census and Statistics Department Introduction to Sample Surveys.
Advertisements

Chapter 2 Samples and Populations
Sampling Methods.
Chapter 1 Getting Started Understandable Statistics Ninth Edition
Statistics for Managers Using Microsoft® Excel 5th Edition
Research methods – Deductive / quantitative
4.11 PowerPoint Emily Smith.
© 2003 Prentice-Hall, Inc.Chap 1-1 Business Statistics: A First Course (3 rd Edition) Chapter 1 Introduction and Data Collection.
Chapter 7 Sampling Distributions
© 2004 Prentice-Hall, Inc.Chap 1-1 Basic Business Statistics (9 th Edition) Chapter 1 Introduction and Data Collection.
Exam Info You will need a PICTURE ID to turn in your exam! Take the exam in the correct section! No hats, baggy clothes, scarves, or cell phones on exam.
© 2002 Prentice-Hall, Inc.Chap 1-1 Statistics for Managers using Microsoft Excel 3 rd Edition Chapter 1 Introduction and Data Collection.
Sampling.
Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc.. Chap 7-1 Chapter 7 Sampling Distributions Basic Business Statistics 10 th Edition.
Chapter 12 Sample Surveys
Chapter 7 Selecting Samples
David Kilgour Statistics David Kilgour Statistics.
Basic Business Statistics (8th Edition)
Sampling Methods.
Variables and Measurement (2.1) Variable - Characteristic that takes on varying levels among subjects –Qualitative - Levels are unordered categories (referred.
FINAL REPORT: OUTLINE & OVERVIEW OF SURVEY ERRORS
Exploring Marketing Research Chapter 9 Survey Research: An Overview Dr. Werner R. Murhadi
Copyright c 2001 The McGraw-Hill Companies, Inc.1 Chapter 7 Sampling, Significance Levels, and Hypothesis Testing Three scientific traditions critical.
Introduction to Survey Research. What kind of data can I collect? Factual Knowledge Factual Knowledge Cognitive Beliefs or Perceptions Cognitive Beliefs.
(Source: Causeweb.org). Elementary Survey Sampling 7 th Edition By Scheaffer, Mendenhall, Ott and Gerow.
McGraw-Hill/Irwin McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All rights reserved.
By: Christopher Prewitt & Deirdre Huston.  When doing any project it is important to know as much information about the project and the views of everyone.
C M Clarke-Hill1 Collecting Quantitative Data Samples Surveys Pitfalls etc... Research Methods.
Chapter 1 Introduction and Data Collection
© Copyright McGraw-Hill CHAPTER 1 The Nature of Probability and Statistics.
Quantitative Research 1: Sampling and Surveys Dr N L Reynolds.
MARKETING RESEARCH CHAPTERS
 Collecting Quantitative  Data  By: Zainab Aidroos.
Sampling “Sampling is the process of choosing sample which is a group of people, items and objects. That are taken from population for measurement and.
Statistics for Managers Using Microsoft Excel, 4e © 2004 Prentice-Hall, Inc. Chap 1-1 Statistics for Managers Using Microsoft ® Excel 4 th Edition Chapter.
Learning Objectives Explain the role of sampling in the research process Distinguish between probability and nonprobability sampling Understand the factors.
AP STATISTICS Section 5.1 Designing Samples. Objective: To be able to identify and use different sampling techniques. Observational Study: individuals.
Intro to Survey Design and Issues Sampling methods and tips.
Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc.. Chap 7-1 Chapter 7 Sampling Distributions Basic Business Statistics.
Aim: Review Session 1 for Final Exploratory Data Analysis & Types of Studies HW: complete worksheet.
MARKETING RESEARCH CHAPTERS 7: Descriptive Research Design: Survey and Observation 8 Experimentation.
Data Collection Sampling. Target Population The group of people to whom the researcher wishes to generalize the results of the study.
 An observational study observes individuals and measures variable of interest but does not attempt to influence the responses.  Often fails due to.
Basic Business Statistics, 8e © 2002 Prentice-Hall, Inc. Chap 1-1 Inferential Statistics for Forecasting Dr. Ghada Abo-zaid Inferential Statistics for.
1 of 29Visit UMT online at Prentice Hall 2003 Chapter 1, STAT125Basic Business Statistics STATISTICS FOR MANAGERS University of Management.
IPDET Module 9: Choosing the Sampling Strategy. IPDET © Introduction Introduction to Sampling Types of Samples: Random and Nonrandom Determining.
Surveys. What do Surveys Tell You?  Attitudes  How well do you think this learning community has accomplished it’s objectives?  Factual information.
STT 350: SURVEY SAMPLING Dr. Cuixian Chen Chapter 2: Elements of the Sampling Problem Elementary Survey Sampling, 7E, Scheaffer, Mendenhall, Ott and Gerow.
Chapter 5 Sampling and Surveys. Section 5.3 Sample Surveys in the Real World.
Research Methodology Lecture No :32 (Revision Chapters 8,9,10,11,SPSS)
Sampling & Simulation Chapter – Common Sampling Techniques  For researchers to make valid inferences about population characteristics, samples.
Slide 7.1 Saunders, Lewis and Thornhill, Research Methods for Business Students, 5 th Edition, © Mark Saunders, Philip Lewis and Adrian Thornhill 2009.
Statistics for Managers Using Microsoft Excel, 4e © 2004 Prentice-Hall, Inc. Chap 1-1 Statistics for Managers Using Microsoft ® Excel 4 th Edition Chapter.
AC 1.2 present the survey methodology and sampling frame used
Chapter 1 Introduction and Data Collection
Module 9: Choosing the Sampling Strategy
CHAPTER 4 Designing Studies
Market Research Unit 3 P3.
Research Methods: Concepts and Connections First Edition
محيط پژوهش محيط پژوهش كه قلمرو مكاني نيز ناميده مي شود عبارت است از مكاني كه نمونه هاي آماري مورد مطالعه از آنجا گرفته مي شود .
Chapter 7 Survey research.
Chapter 1 Getting Started Understandable Statistics Ninth Edition
Chapter 7 Sampling Distributions
EVALUATING STATISTICAL REPORTS
نمونه گيري و انواع آن تدوین کننده : ملیکه سادات ابراهیمی
Survey Design & Use.
WARM – UP Use LINE 5 of the random digit table. 30. The World Series.
Business Statistics: A First Course (3rd Edition)
Inference for Sampling
What do Samples Tell Us Variability and Bias.
Presentation transcript:

HOW TO PASS AS EVALUATING STATISTICAL REPORTS

TICK SHEET Achievement 2A1+3A2+3A3 Merit 1M1+3M2 Excellence 1E1+2E2 DESCRIBEEVALUATE JUSTIFY EVALUATION EVALUATE WITH STATISTICAL INSIGHT  Title Source Purpose A1 A3 M1 E1  Population measures A2A3M2E2  Variables A2A3M2E2  Sampling methods A2A3M2E2  Sample size A2A3M2E2  Survey methods A2A3M2E2  Sampling errors A2A3M2E2  Non- sampling error A2A3M2E2  Findings of the survey A2A3M2E2  Summary A1A3M1E1

DESCRIBE LIST AT LEAST 3 OF THE ACTUAL VARIABLES MEASURED CLASSIFY AS: CATEGORICAL ORDINAL QUALITATIVE NUMERICAL AND EVALUATE WRT PURPOSE VARIABLES

POPULATION MEASURES DESCRIBE MEAN MEDIAN MODE QUARTILES STANDARD DEVIATION EVALUATE ADVANTAGES DISADVANTAGES SUGGESTIONS OF WHICH IS THE BEST TO HAVE USED FOR THIS DATA.

SAMPLING METHODS DESCRIBE PROBABILITY SAMPLES Systematic Cluster Stratified Simple Random NON-PROBABILITY SAMPLES Person in the Street Self-Selected Quota sampling EVALUATE ADVANTAGES DISASVANTAGES SUITABILITY WRT PURPOSE ADVANTAGES DISASVANTAGES SUITABILITY WRT PURPOSE

SAMPLE SIZE DESCRIBEEVALUATE WRT ORIGINAL POPULATION SIZE ALLOWABLE SAMPLING ERROR PURPOSE OF REPORT

SURVEY METHODS DESCRIBE FACE TO FACE INTERVIEW TELEPHONE SURVEY COMPUTER-ASSISTED SURVEY SELF-ADMINISTERED SURVEY CLUSTER GROUPS PAPER QUESTIONNAIRE WEB-BASED QUESTIONNAIRE EVALUATE ADVANTAGES AND DISADVANTAGES WRT PURPOSE OF REPORT

SAMPLING ERRORS DESCRIBE SAMPLING ERROR IS AFFECTED BY: SAMPLE SIZE SAMPLE DESIGN VARIABILITY WITHIN THE POPULATION EVALUATE INCREASING SAMPLE SIZE TENDS TO REDUCE SAMPLING ERROR RECOMMEND A DIFFERENT SAMPLING METHOD RECOMMEND HOW TO CHOOSE A MORE REPRESENTATIVE SAMPLE

NON-SAMPLING ERRORS DESCRIBE COVERAGE ERROR RESPONSE ERRORS NON-RESPONSE ERRORS PROCESSING ERRORS ANALYSIS ERRORS. COVERAGE ERROR RESPONSE ERRORS NON-RESPONSE ERRORS PROCESSING ERRORS ANALYSIS ERRORS. EVALUATE EXPLAIN HOW THEY OCCURRED DISCUSS WAYS TO REDUCE SAMPLING ERRORS

NON-SAMPLING ERRORS DESCRIBE The wording of questions, the order in which they are asked and the number and type of options offered can influence survey results. Answers given by respondents do not always reflect their true beliefs because they may feel under social pressure not to give an unpopular or socially undesirable answer. Answers given by respondents may be influenced by the desire to impress an interviewer. If people who refuse to answer are different, with respect to survey issues, from those who respond.This can also happen with people who are never contacted and people who have yet to make up their mind. The wording of questions, the order in which they are asked and the number and type of options offered can influence survey results. Answers given by respondents do not always reflect their true beliefs because they may feel under social pressure not to give an unpopular or socially undesirable answer. Answers given by respondents may be influenced by the desire to impress an interviewer. If people who refuse to answer are different, with respect to survey issues, from those who respond.This can also happen with people who are never contacted and people who have yet to make up their mind. EVALUATE If the excluded or under-represented group is different, with respect to survey issues, then bias will occur. This creates bias because individuals with strong opinions about the survey issues or those with substantial knowledge will tend to be over- represented. Bias can occur because respondents may tend consistently to have views that are more extreme than those of the population in general. Bias will occur.

FINDINGS OF THE SURVEY DESCRIBE EVALUATE

SUMMARY

REMEMBER! EffectivenessMust relate this to the purpose Justification Must include supporting evidence Must always make clear links to the context, including reference to the background information

HOW TO GET A/ M / E Source Summary PurposeDiscusses results with respect to the purpose Features  Population measure and variables  Sampling methods  Survey methods  Sampling and possible non-sampling errors  Sample size EffectivenessMust relate this to the purpose JustificationMust include supporting evidence Must always make clear links to the context, including reference to the background information Achievement Achievement with MeritAchievement with Excellence F Identifies & comments on at least 3 different features Same as Achieved but adds statistical evidence from the report and discusses the processes used Same as Merit but: examines the quality of the survey process (loaded questions, questions changing from year to year, framing of questions to get a positive response, adequate sample size) examines contextual information (small footnotes with important information eg small response for a question, further clarification necessary, discussion on some data omitted) When discussing the purpose and results there are further questions such as: are there supporting studies?, is there funding tied to this report which may promote bias?, is there other data available? Discussion of how the report could be improved such as: change data representations and displays, not change questions between years, continue the survey over a longer time.