quantitative design and analysis mark 2048
DESCRIPTION
QUANTITATIVE DESIGN AND ANALYSIS MARK 2048. Instructor: Armand Gervais Email:. Learning Objectives. 1. Illustrate the process of preparing data for preliminary analysis. 2.Demonstrate the procedure for assuring data validation. - PowerPoint PPT PresentationTRANSCRIPT
![Page 1: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/1.jpg)
1
QUANTITATIVE DESIGN AND QUANTITATIVE DESIGN AND ANALYSIS ANALYSIS MARK 2048MARK 2048
Instructor: Armand GervaisEmail:Email:
![Page 2: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/2.jpg)
2
1.1. Illustrate the process of preparing data for preliminary Illustrate the process of preparing data for preliminary analysis.analysis.
2.2. Demonstrate the procedure for assuring data validation.Demonstrate the procedure for assuring data validation.
3.3. Illustrate the process of editing and coding data Illustrate the process of editing and coding data obtained through survey methods.obtained through survey methods.
4.4. Acquaint the user with data entry procedures.Acquaint the user with data entry procedures.
5.5. Illustrate a process for detecting errors in data entry.Illustrate a process for detecting errors in data entry.
6.6. Discuss techniques used for data tabulation and data Discuss techniques used for data tabulation and data analysis.analysis.
Learning Objectives
![Page 3: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/3.jpg)
3
Exhibit 14.1 Illustrate the process of preparing data for
preliminary analysis
![Page 4: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/4.jpg)
4
Data PreparationData Preparation–– process of converting information from a questionnaire process of converting information from a questionnaire
so it can be transferred to a data warehouseso it can be transferred to a data warehouse
4-step Approach4-step Approach Data validationData validation Editing and coding of the dataEditing and coding of the data Data entryData entry Data tabulationData tabulation
Error DetectionError Detection
Purpose of Data Preparation and AnalysisPurpose of Data Preparation and Analysis
Value of Preparing Data for Analysis
Illustrate the process of preparing data for
preliminary analysis
![Page 5: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/5.jpg)
5
Data ValidationData Validation––
to determine if the survey’s interviews to determine if the survey’s interviews or observations were conducted or observations were conducted correctly and free of interviewer fraud correctly and free of interviewer fraud or biasor bias
CurbstoningCurbstoning
Data ValidationDemonstrate the
procedure for assuring data validation
![Page 6: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/6.jpg)
6
Process of ValidationProcess of Validation FraudFraud
ScreeningScreening
ProcedureProcedure
CompletenessCompleteness
CourtesyCourtesy
Data ValidationDemonstrate the
procedure for assuring data validation
![Page 7: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/7.jpg)
7
EditingEditing process where by the raw data are checked for process where by the raw data are checked for
mistakes made by either the interviewer or the mistakes made by either the interviewer or the respondentrespondent
Areas of ConcernAreas of Concern
Asking the Proper QuestionsAsking the Proper Questions
Accurate Recording of AnswersAccurate Recording of Answers
Correct Screening QuestionsCorrect Screening Questions
Responses to Open-Ended QuestionsResponses to Open-Ended Questions
Data Editing and Coding
Illustrate the process of editing and coding data obtained through
survey methods
![Page 8: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/8.jpg)
8
Exhibit 14.3Illustrate the process of editing
and coding data obtained through survey methods
![Page 9: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/9.jpg)
9
CodingCoding grouping and assigning values to various grouping and assigning values to various
responses from the survey instrumentresponses from the survey instrument Codes are numerical–a number from 0-9 Codes are numerical–a number from 0-9
Well planned and constructed questionnaires Well planned and constructed questionnaires reduce time spent on codingreduce time spent on coding
Numeric codes should be designed into the Numeric codes should be designed into the questionnaire from the beginningquestionnaire from the beginning
Questionnaires that do not use coded responses–a Questionnaires that do not use coded responses–a master code must be establishedmaster code must be established
The Coding Process
Illustrate the process of editing and coding data obtained through
survey methods
![Page 10: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/10.jpg)
10
Exhibit 14.4Illustrate the process of editing
and coding data obtained through survey methods
![Page 11: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/11.jpg)
11
Open-end questions–four-step processOpen-end questions–four-step process
Generate a master list of potential responses–Generate a master list of potential responses–assign values to the responsesassign values to the responses
Consolidate responsesConsolidate responses
Assign a numerical value as a codeAssign a numerical value as a code
Assign a coded value to each responseAssign a coded value to each response
Data Editing and Coding
Illustrate the process of editing and coding data obtained through
survey methods
![Page 12: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/12.jpg)
12
Exhibit 14.5Illustrate the process of editing
and coding data obtained through survey methods
![Page 13: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/13.jpg)
13
Data entryData entry Four major ways for entering coded dataFour major ways for entering coded data
Most popular option–personal computer (PC)Most popular option–personal computer (PC)
Touch screenTouch screen
Light penLight pen
ScannersScanners Primary purpose of data entryPrimary purpose of data entry
Data EntryAcquaint the user with data
entry procedures
![Page 14: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/14.jpg)
14
Exhibit 14.6Acquaint the user with data
entry procedures
![Page 15: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/15.jpg)
15
First step in Error DetectionFirst step in Error Detection–– to determine if the software used for to determine if the software used for
data entry and tabulation–allows error data entry and tabulation–allows error edit routinesedit routines To identify the wrong type of dataTo identify the wrong type of data To review a printed representation of the To review a printed representation of the
entered dataentered data To produce a data/column list procedure To produce a data/column list procedure
for the entered datafor the entered data To find the appropriate questionnaire and To find the appropriate questionnaire and
verify the proper response (code)verify the proper response (code)
Error Detection Illustrate a process for detecting errors in data entry
![Page 16: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/16.jpg)
16
Exhibit 14.7 Illustrate a process for detecting errors in data entry
![Page 17: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/17.jpg)
17
Exhibit 14.8 Illustrate a process for detecting errors in data entry
![Page 18: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/18.jpg)
18
TabulationTabulation Simple process of counting the number Simple process of counting the number
of observations that are classified into of observations that are classified into certain categoriescertain categories Simple one-way tabulationSimple one-way tabulation Cross-tabulationCross-tabulation
Use and purpose of tabulationUse and purpose of tabulation Range from further validation of the Range from further validation of the
accuracy of the data to the reporting of accuracy of the data to the reporting of research resultsresearch results
Data Tabulation Discuss techniques used for data tabulation and data analysis
![Page 19: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/19.jpg)
19
One-way Tabulations One-way Tabulations 1.1.To determine the degree of non-response to To determine the degree of non-response to
individual questionsindividual questions
2.2. To locate blunders of simple errors in the data To locate blunders of simple errors in the data entryentry
3.3. To calculate summary statistics on various To calculate summary statistics on various questionsquestions1.1. MeansMeans2.2. Standard deviationsStandard deviations3.3. Related descriptive statisticsRelated descriptive statistics
4.4. To communicate the results of the research To communicate the results of the research projectproject
Data Tabulation Discuss techniques used for data tabulation and data analysis
![Page 20: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/20.jpg)
20
One-way frequency tableOne-way frequency table–– the number of respondents who the number of respondents who
responded to each possible response responded to each possible response to a questions given the available to a questions given the available alternatives alternatives
One-way Frequency Table IdentifyOne-way Frequency Table Identify Missing dataMissing data Determining valid percentagesDetermining valid percentages Summary statisticsSummary statistics
Data Tabulation Discuss techniques used for data tabulation and data analysis
![Page 21: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/21.jpg)
21
Exhibit 14.9 Illustrate a process for detecting errors in data entry
![Page 22: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/22.jpg)
22
Exhibit 14.10 Illustrate a process for detecting errors in data entry
![Page 23: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/23.jpg)
23
Cross-tabulationsCross-tabulations to determine whether certain to determine whether certain
variables differ when compared variables differ when compared among various subgroups of the total among various subgroups of the total samplesample Primary form of data analysis Primary form of data analysis Key elementsKey elements
How to develop the cross-tabulationHow to develop the cross-tabulation How to interpret the outcomeHow to interpret the outcome
Shows frequencies and percentages, with Shows frequencies and percentages, with percentages existing for both rows and percentages existing for both rows and columnscolumns
Data Tabulation Discuss techniques used for data tabulation and data analysis
![Page 24: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/24.jpg)
24
Exhibit 14.11 Illustrate a process for detecting errors in data entry
![Page 25: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/25.jpg)
25
Issues to Be ConsideredIssues to Be Considered
The judgment of the analyst–the selection of variable The judgment of the analyst–the selection of variable (question) to use when examining relationships(question) to use when examining relationships
Demographic variables or lifestyle/psychographic Demographic variables or lifestyle/psychographic characteristics–the starting point in developing characteristics–the starting point in developing cross-tabulationscross-tabulations
Technique is simple–often difficult to interpret Technique is simple–often difficult to interpret
Keep research objectives in mind when constructing Keep research objectives in mind when constructing and using tablesand using tables
Spreadsheets helpSpreadsheets help
Data Tabulation Discuss techniques used for data tabulation and data analysis
![Page 26: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/26.jpg)
26
Descriptive StatisticsDescriptive Statistics to summarize and describe the data to summarize and describe the data
obtained from a sample of respondentsobtained from a sample of respondents
Two Types of MeasuresTwo Types of Measures
Central tendencyCentral tendency
DispersionDispersion
Data Tabulation Discuss techniques used for data tabulation and data analysis
![Page 27: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/27.jpg)
27
Exhibit 14.12 Illustrate a process for detecting errors in data entry
![Page 28: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/28.jpg)
28
Graphical IllustrationGraphical Illustration translation of one-way frequency translation of one-way frequency
and cross-tabulation tables into and cross-tabulation tables into graphsgraphs
Graphical illustrationsGraphical illustrations a very powerful technique for a very powerful technique for
communicating key research results communicating key research results generated from preliminary data generated from preliminary data analysis to the clientanalysis to the client
Data Tabulation Discuss techniques used for data tabulation and data analysis
![Page 29: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/29.jpg)
29
Value of Preparing Data for AnalysisValue of Preparing Data for Analysis Data ValidationData Validation Data Editing and CodingData Editing and Coding The Coding ProcessThe Coding Process Data EntryData Entry Error DetectionError Detection Data TabulationData Tabulation
Summary
![Page 30: QUANTITATIVE DESIGN AND ANALYSIS MARK 2048](https://reader036.vdocuments.net/reader036/viewer/2022081603/56815ccc550346895dcada7c/html5/thumbnails/30.jpg)
30
To Do’s To Do’s Compete LAB 1 for beginning of Compete LAB 1 for beginning of
next class 5%next class 5% Complete assigned readingsComplete assigned readings Read Research DocumentRead Research Document