DATA DESCRIPTION Research Methods College of Public and Community Services University of Massachusetts at Boston ©2012 William Holmes 1.

Slides:



Advertisements
Similar presentations
By Hui Bian Office for Faculty Excellence Spring
Advertisements

Preparing Data for Quantitative Analysis
Pengolahan dan Analisa Data Indra Budi Fasilkom UI.
Learning Objectives Copyright © 2002 South-Western/Thomson Learning Data Processing and Fundamental Data Analysis CHAPTER fourteen.
Learning Objectives 1 Copyright © 2002 South-Western/Thomson Learning Data Processing and Fundamental Data Analysis CHAPTER fourteen.
1 QUANTITATIVE DESIGN AND ANALYSIS MARK 2048 Instructor: Armand Gervais
5/15/2015Slide 1 SOLVING THE PROBLEM The one sample t-test compares two values for the population mean of a single variable. The two-sample test of a population.
Chapter 13 Conducting & Reading Research Baumgartner et al Data Analysis.
Data Preparation and Description
Welcome to class of Data Analysis -Dr. Satyendra Singh.
Chapter 13 Analyzing Quantitative data. LEVELS OF MEASUREMENT Nominal Measurement Ordinal Measurement Interval Measurement Ratio Measurement.
Aaker, Kumar, Day Ninth Edition Instructor’s Presentation Slides
Chapter 14 Analyzing Quantitative Data. LEVELS OF MEASUREMENT Nominal Measurement Nominal Measurement Ordinal Measurement Ordinal Measurement Interval.
SOWK 6003 Social Work Research Week 10 Quantitative Data Analysis
Introduction to research Analyzing and interpreting research data
Educational Research by John W. Creswell. Copyright © 2002 by Pearson Education. All rights reserved. Slide 1 Chapter 8 Analyzing and Interpreting Quantitative.
Basic Data Analysis: Descriptive Statistics. Types of Statistical Analysis n Descriptive n Inferential: u Test of Differences u Test of Associative u.
Quantifying Data.
Learning Objective Chapter 13 Data Processing, Basic Data Analysis, and Statistical Testing of Differences CHAPTER thirteen Data Processing, Basic Data.
Marketing Research Aaker, Kumar, Day Seventh Edition Instructor’s Presentation Slides.
McGraw-Hill/Irwin © 2004 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 9 Processing the Data.
© 2012 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.
Data Processing, Fundamental Data
Indicator 3.05 Interpret marketing information to test hypotheses and/or to resolve issues.
EPE/EDP 557 Key Concepts / Terms –Empirical vs. Normative Questions Empirical Questions Normative Questions –Statistics Descriptive Statistics Inferential.
Statistics Chapter 9. Statistics Statistics, the collection, tabulation, analysis, interpretation, and presentation of numerical data, provide a viable.
Data Handbook Chapter 4 & 5. Data A series of readings that represents a natural population parameter A series of readings that represents a natural population.
Counseling Research: Quantitative, Qualitative, and Mixed Methods, 1e © 2010 Pearson Education, Inc. All rights reserved. Using SPSS to Analyze Data Anastasia.
Research Methods. Measures of Central Tendency You will be familiar with measures of central tendency- averages. Mean Median Mode.
Determination of Sample Size: A Review of Statistical Theory
Experimental Research Methods in Language Learning Chapter 9 Descriptive Statistics.
DATA PREPARATION: PROCESSING & MANAGEMENT Lu Ann Aday, Ph.D. The University of Texas School of Public Health.
Educational Research: Competencies for Analysis and Application, 9 th edition. Gay, Mills, & Airasian © 2009 Pearson Education, Inc. All rights reserved.
Data Management Seminar, 8-11th July 2008, Hamburg 1 Survey Administration Receiving Material Data Submission Instrument Preparation Codebook Adaptation.
McGraw-Hill/Irwin © 2003 The McGraw-Hill Companies, Inc.,All Rights Reserved. Part Four ANALYSIS AND PRESENTATION OF DATA.
15-1 Chapter Fifteen DATA PREPARATION AND DESCRIPTION.
Semester 2: Lecture 3 Quantitative Data Analysis: Univariate Analysis II Prepared by: Dr. Lloyd Waller ©
Appendix B: Statistical Methods. Statistical Methods: Graphing Data Frequency distribution Histogram Frequency polygon.
TIMOTHY SERVINSKY PROJECT MANAGER CENTER FOR SURVEY RESEARCH Data Preparation: An Introduction to Getting Data Ready for Analysis.
DTC Quantitative Methods Summary of some SPSS commands Weeks 1 & 2, January 2012.
16-1 Chapter 16 Data Preparation andDescription Learning Objectives Understand... importance of editing the collected raw data to detect errors.
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.
Descriptive Statistics Measures of Skewness & Kurtosis.
Engineering College of Engineering Engineering Education Innovation Center Analyzing Measurement Data Rev: , MCAnalyzing Data1.
Lecture 7 Data Analysis.  Developing coding scheme  Data processing  Data entry  Data cleaning & transformation  Data analysis  Interpretation of.
Chapter15 Basic Data Analysis: Descriptive Statistics.
Data Processing, Fundamental Data Analysis, and the Statistical Testing of Differences Chapter Twelve.
Creating a data set From paper surveys to excel. STEPS 1.Order your filled questionnaires 2.Number your questionnaires 3.Name your variables. 4.Create.
Chapter 15 Data Preparation andDescription McGraw-Hill/Irwin Copyright © 2011 by The McGraw-Hill Companies, Inc. All Rights Reserved.
Coding Preparing The Research for Data Entry. Coding (defined) Coding is the process of converting questionnaire responses into a form that a computer.
Chapter Fourteen Copyright © 2004 John Wiley & Sons, Inc. Data Processing and Fundamental Data Analysis.
Criminal Justice and Criminology Research Methods, Second Edition Kraska / Neuman © 2012 by Pearson Higher Education, Inc Upper Saddle River, New Jersey.
© 2006 by The McGraw-Hill Companies, Inc. All rights reserved. 1 Chapter 10 Descriptive Statistics Numbers –One tool for collecting data about communication.
Statistics in SPSS Lecture 3
CHAPTER 13 Data Processing, Basic Data Analysis, and the Statistical Testing Of Differences Copyright © 2000 by John Wiley & Sons, Inc.
Descriptive Statistics
Part Four ANALYSIS AND PRESENTATION OF DATA
Descriptive measures Capture the main 4 basic Ch.Ch. of the sample distribution: Central tendency Variability (variance) Skewness kurtosis.
Psychology 202a Advanced Psychological Statistics
HYDROLOGY Lecture 12 Probability
Measures of Variability
FOUR MOMENTS: Ways to Describe a (Univariate I/R) Distribution
Notes Over 7.7 Finding Measures of Central Tendency
CHAPTER 5 Fundamentals of Statistics
Types of Distributions
Work Schedule Methodological Issues Variables Constant
Data Processing, Basic Data Analysis, and the
FOUR MOMENTS: Ways to Describe a (Univariate I/R) Distribution
By A.Arul Xavier Department of mathematics
Indicator 3.05 Interpret marketing information to test hypotheses and/or to resolve issues.
Presentation transcript:

DATA DESCRIPTION Research Methods College of Public and Community Services University of Massachusetts at Boston ©2012 William Holmes 1

USES OF DATA DESCRIPTION Checking data Describing individual variables Examining relationships between variables Enhancing understanding 2

CHECKING DATA Review and correct sources of data, paper forms. Enter data in computer with error checking. Examine frequency distributions for invalid codes. Check variable labels and value labels for accuracy. Save a backup copy of the data. 3

DATA SOURCE REVIEW AND CORRECTION Look for ambiguous responses and clarify. Look for missing data and obtain if possible. Look for marginal notes and take necessary action. 4

ENTERING DATA WITH ERROR CHECKING Choose familiar data entry program : database, spreadsheet, statistical. Provide training for data entry. Have codebook available. Use valid range checks if available. Use “validation” (double entry) if available. 5

EXAMINE FREQUENCY DISTRIBUTIONS: 1 Generate Frequency Distributions TOTALVALID VARIABLECODENPCT PCT SexMale Female Missing 1 2 QualifiedYes No

EXAMINE FREQUENCY DISTRIBUTIONS: 2 Check for valid codes Check for missing data Check variable labels Check variable names 7

EXAMINE FREQUENCY DISTRIBUTIONS: 3 Check distribution for symmetry Check distribution for multiple modes Check central tendency Check dispersion Check you have a backup of data 8

ODDITIES OF DISTRIBUTIONS Number of peaks: modes Skewness: imbalance Flatness: kurtosis 9