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Chapter Twelve Coding, Editing and Presenting Data for Analysis Copyright 2004 McGraw-Hill Pty Ltd PPTs t/a Marketing Research by Lukas, Hair, Bush and Ortinau Slides prepared by Tony Peloso 12-1 Learning Objectives Illustrate the process of preparing the data for analysis Demonstrate the procedure for assuring data validation Illustrate the process of editing and coding data obtained through survey methods Acquaint the user with data entry procedures Illustrate a process for detecting errors in data entry Copyright 2004 McGraw-Hill Pty Ltd PPTs t/a Marketing Research by Lukas, Hair, Bush and Ortinau Slides prepared by Tony Peloso 12-2 Learning Objectives Discuss techniques used for data tabulation Understand the mean, median and mode as measures of central tendency Understand the range and standard deviation of a frequency distribution as measures of dispersion Copyright 2004 McGraw-Hill Pty Ltd PPTs t/a Marketing Research by Lukas, Hair, Bush and Ortinau Slides prepared by Tony Peloso 12-3 Introduction PHASE II: Design the research Marketing Research Prepare the data Step 7: Data preparation is the process of taking data and preparing it for conversion into information Data validation is the process of determining whether a survey’s interviews or observations were conducted correctly Data editing is the process of checking the data for mistakes made by the interviewer or the respondent Copyright 2004 McGraw-Hill Pty Ltd PPTs t/a Marketing Research by Lukas, Hair, Bush and Ortinau Slides prepared by Tony Peloso 12-4 Introduction PHASE II: Design the research Marketing Research Prepare the data Step 7: Data coding is the process of grouping and assigning value to the responses Data entry is the process of the direct input of the coded data into some package to analyse, manipulate and transform the data into useful information Error detection is the process of ensuring that the data is error-free Data description is the process of describing the data sample so that general patterns of responses and respondent profiles are revealed Copyright 2004 McGraw-Hill Pty Ltd PPTs t/a Marketing Research by Lukas, Hair, Bush and Ortinau Slides prepared by Tony Peloso 12-5 The Essentials of Data Validation Data, when ‘validated’ by a research team covers the following five areas of concern: Fraud Screening Procedure Completeness Courtesy Copyright 2004 McGraw-Hill Pty Ltd PPTs t/a Marketing Research by Lukas, Hair, Bush and Ortinau Slides prepared by Tony Peloso 12-6 The Essentials of Data Editing When data is ‘edited’ by a research team, they focus on the following four questions: Have the questions been asked properly? Have the answers been recorded precisely? Have only qualified respondents been included in the sample? Have all open-ended responses been consolidated? Copyright 2004 McGraw-Hill Pty Ltd PPTs t/a Marketing Research by Lukas, Hair, Bush and Ortinau Slides prepared by Tony Peloso 12-7 How to Handle Open-ended Questions There are four stages to coding openend questions: Brainstorm a list of possible responses and create a list. Assign a value to each of the responses. Consolidate the responses into response categories which exhibit shared meaning. Assign values to data which has been captured by the survey instrument, as well as data which has been omitted by the respondent. Assign a coded value to each response. Copyright 2004 McGraw-Hill Pty Ltd PPTs t/a Marketing Research by Lukas, Hair, Bush and Ortinau Slides prepared by Tony Peloso 12-8 The Master Code Form—Example FAST-FOOD OPINION SURVEY This questionnaire pertains to a project being conducted by a marketing research class at The University of Memphis. The purpose of this project is to better understand the attitudes and opinions of consumers towards fast-food restaurants. The questionnaire will take only 10–15 minutes to complete, and all responses will remain strictly confidential. Thank you for your help on this project. 1. Below is a listing of various fast-food restaurants. How many of these restaurants would you say you visited in the past two months? Check as many as may apply. Taco Bell 01 Church’s Fried Chicken 08 Hardee’s 02 McDonald’s 09 Kentucky Fried Chicken 03 Burger King 10 Wendy’s 04 Back Yard Burgers 11 Rally’s 05 Arby’s 12 Popeye’s Chicken 06 Sonic 13 Krystal’s 07 Other, please specify Have not visited any of these establishments Copyright 2004 McGraw-Hill Pty Ltd PPTs t/a Marketing Research by Lukas, Hair, Bush and Ortinau Slides prepared by Tony Peloso See code sheet 20 12-9 Data Tabulation: One-way Tabulation When a research team performs a ‘one-way’ tabulation they focus on a single variable operating in the research study. Copyright 2004 McGraw-Hill Pty Ltd PPTs t/a Marketing Research by Lukas, Hair, Bush and Ortinau Slides prepared by Tony Peloso 12-10 Frequency Distribution—An Example 5. In the past TWO WEEKS, which fast-food restaurants in your area have you had food or beverage from? (27) (DO NOT READ-MULTIPLE RESPONSE) Frequency Percentage 1. Andy’s 3 .7 2. Arby’s 25 6.2 3. Back Yard Burgers 26 6.4 4. Burger King 48 11.9 3 .7 6. Hardee’s 22 5.4 7. Kentucky Fried Chicken 39 9.7 135 33.4 5. Church’s Fried Chicken 8. McDonald’s Copyright 2004 McGraw-Hill Pty Ltd PPTs t/a Marketing Research by Lukas, Hair, Bush and Ortinau Slides prepared by Tony Peloso 12-11 Frequency Distribution—An Example Frequency Percentage 9. Sonic 46 11.4 10. Subway 14 3.5 11. Taco Bell 67 16.6 12. Wendy’s 84 20.8 13. Other 43 10.6 14. Refused 1 .2 15. Don’t know 6 1.5 16. None 52 12.9 17. Pizza Hut 21 5.2 18. Rally’s 14 3.5 9 2.2 404 100 19. Captain D’s Total qualified Copyright 2004 McGraw-Hill Pty Ltd PPTs t/a Marketing Research by Lukas, Hair, Bush and Ortinau Slides prepared by Tony Peloso 12-12 Data Tabulation: Crosstabulation When a research team performs a ‘cross-tabulation’ they focus on two or more variables contained in questions in the research study. Copyright 2004 McGraw-Hill Pty Ltd PPTs t/a Marketing Research by Lukas, Hair, Bush and Ortinau Slides prepared by Tony Peloso 12-13 Cross-tabulation—Example Copyright 2004 McGraw-Hill Pty Ltd PPTs t/a Marketing Research by Lukas, Hair, Bush and Ortinau Slides prepared by Tony Peloso 12-14 Measures of Central Tendency There are three primary measures of central tendency: The Mean The Mode The Median Copyright 2004 McGraw-Hill Pty Ltd PPTs t/a Marketing Research by Lukas, Hair, Bush and Ortinau Slides prepared by Tony Peloso 12-15 Desired Measures of Central Tendency and Dispersion Measures of Central Tendency Mean is the arithmetic average of all the data responses. Mode is the most common value in the set of responses to a question. Median occurs where half of the data is above the statistic value and half is below. Copyright 2004 McGraw-Hill Pty Ltd PPTs t/a Marketing Research by Lukas, Hair, Bush and Ortinau Slides prepared by Tony Peloso 12-16 Measures of Dispersion There are two primary measures of dispersion: The Range The Standard Deviation Note: the variance is the average squared deviation about the mean Copyright 2004 McGraw-Hill Pty Ltd PPTs t/a Marketing Research by Lukas, Hair, Bush and Ortinau Slides prepared by Tony Peloso 12-17 Desired Measures of Dispersion Measures of Dispersion Frequency distribution is a summary of how many times each raw response was recorded. Range represents the data responses as groups with an upper and lower designation value. Estimated sample standard deviations specify the degree of variation in the data responses. Copyright 2004 McGraw-Hill Pty Ltd PPTs t/a Marketing Research by Lukas, Hair, Bush and Ortinau Slides prepared by Tony Peloso 12-18 Desired Measures of Central Tendency and Dispersion It is important to remember the following facts: If a nominal scale is used, analysis of data can only be done using modes and frequency distributions. If ordinal scales are used, analysis of data can be done using medians and ranges (plus modes and frequency distributions). If interval or ratio scales are used, analysis of data can be done through the use of sample means and estimated standard deviations as the sample statistic (plus the above). Copyright 2004 McGraw-Hill Pty Ltd PPTs t/a Marketing Research by Lukas, Hair, Bush and Ortinau Slides prepared by Tony Peloso 12-19