Domain Testing: Divide and Conquer - Testing Education

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Appendix A: Equivalence Class Analysis Heuristics (continued) Variable Equivalence classes Enumerated field All cases with option 1 selected All cases with option 2 selected Test case (Best representatives) © Sowmya Padmanabhan, 2003 Risk Notes Option 1 1) Failure to process option 1 correctly. Option 2 1) Failure to process option 2 correctly. … … … … All cases with option n selected All cases with a value other than the listed options, selected for the variable Option n 1) Failure to process option n correctly. Any value not present in the enumerated list 1) Mishandling of values outside the enumerated list of values. 6
Appendix A: Equivalence Class Analysis Heuristics (continued) Heuristic 4: Variables that have to be equal � Consider two variables ‘a’ and ‘b’. We know that at some point in the processing of the function to which they belong, value in ‘a’ is the value in ‘b’. Manipulate ‘b’ to see what you can do to ‘a’. Analysis: Step 1: Identify the risks associated with this variable. • Failure to process identical values of ‘a’ and ‘b’ correctly • Mishandling of non-identical values • Mishandling of identical values but of data types other than what the values should be of. Step 2: Determine the input domain The input domain is the set of all possible ‘a’ and ‘b’ value pairs. Step 3: Partition the input domain based on the identified risks. The following is the corresponding equivalence class table for this example: © Sowmya Padmanabhan, 2003 7
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Domain Testing: Divide and Conquer
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We the undersigned committee hereby
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Table of Contents Chapter 1: Introd
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Chapter 3: Instructional Design and
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5.04 Facilities Used for the Experi
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List of Tables Table 6.01 Question
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Acknowledgements • Dr. Cem Kaner,
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1.01 Problem Description Chapter 1:
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There are two general approaches to
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effective testing with reduced effo
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Other researchers have used the fea
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July 22, 2003; Frankl, Hamlet, Litt
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Chapter 2: Domain Testing: A Litera
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Black-box testers may or may not re
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For instance, in the above example,
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Myers (1979) suggested associating
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In the functional approach to doing
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in the correctness of the program.
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Whittaker and Jorgensen (2002) desc
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listed above. o Worst Case Testing
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He referred to the number of test c
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Hutcheson (2003) described boundary
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2.02.03.02 Special Value Testing Jo
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change has caused something that us
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Hence, a row in an orthogonal array
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combinations of valid equivalence c
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Chapter 3: Instructional Design and
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Carey, 1985; Dick et al., 2001; Dri
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and how they apply the knowledge. T
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Keeping the questionnaires anonymou
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objectives of the instruction. Bein
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software testing courses before, si
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accomplished learning. This also he
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available and integrate them with t
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substance of the materials to make
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4. Expertise-oriented approaches, w
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specifically said, “A pretest is
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instructional design itself. Accord
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• Appendix G: Day 2 Lecture • A
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• Reference materials • Linking
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Every exercise question and every q
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Chapter 5: Experiment Design 5.01 O
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This first version of the advertise
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o Numeric variables � Integer �
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learners should be sufficient to te
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Standard Deviation: “A measure de
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Question 2 (10 points): • Test A:
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Table 6.10: Final Scores - Pretest
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Chart 6.01: Paper-Based Pretest and
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6.02 Performance Test Results Appen
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11 12 0 0 9. How would you rate you
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commented that they liked the fact
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11. What was the least useful part
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appreciated the fact that a lot of
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Most of them commented that they be
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Page 137 and 138: Hajnal, À., & Forgács, I. (1998).
Page 139 and 140: Jeng, B., & Weyuker, E. J. (1994, J
Page 141 and 142: Mayrhauser, A. V., Walls, J., & Mra
Page 143 and 144: Schroeder, P. J., & Korel, B. (2000
Page 145 and 146: Zhu, H., Hall, P. A. V., & May, J.
Page 147 and 148: Appendix A: Reference Material# 1 f
Page 149 and 150: What is an input variable? An input
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Page 155 and 156: Partition the input domain into dif
Page 157 and 158: domain specific special condition b
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Page 161 and 162: What is All-Pairs Combination Testi
Page 163 and 164: If ‘n’ is the total number of v
Page 165 and 166: Step 3: Step 4: Step 5: Test case#
Page 167 and 168: Test case# a(3) b(2) c(2) d(2) e(2)
Page 169 and 170: Step 9: • The only two pairs miss
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Page 189 and 190: Why do we need to test software? To
Page 191 and 192: Analysis To assert that the output
Page 193 and 194: Analysis The total possible combina
Page 195 and 196: What is Domain Testing? Domain test
Page 197 and 198: Domain testing-Terminology Boundary
Page 199 and 200: Summary Our goal is to not only do
Page 201 and 202: Session 2: Domain Testing Sowmya Pa
Page 203 and 204: Testing Integer fields � Example
Page 205 and 206: Testing Integer fields Example 1
Page 211 and 212: Variable(s) Equivalence Class(es)
Page 219 and 220: Testing Integer fields Example 2 St
Page 221 and 222: © Sowmya Padmanabhan, 2003 19
Page 223 and 224: Word Problems � Example 3: SunTru
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Word Problems Example 3 � ‘cred
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Word Problems Example 3 � $400
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Word Problems Example 3 � The inp
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Word Problems Example 3 � Failure
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Variable(s) Equivalence Class(es)
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Word Problems Example 4 � Step 1:
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Word Problems Example 4 Step 6: Par
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Word Problems � Example 5: The pa
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Word Problems Example 5 � User, P
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Word Problems Example 5 � ‘widt
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Word Problems Example 5 � 1
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Word Problems Example 5 � The inp
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Word Problems Example 5 � Failure
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Variable (s) ‘width’ Equivalenc
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Testing multiple ranges � The pro
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Testing multiple ranges Example 6
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Word Problems Example 6 Step 6: Par
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Analyzing non-numbers � Let us fi
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Standard ASCII The first 32 charact
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52 4 53 5 54 6 55 7 56 8 57 9 58 :
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108 l 109 m 110 n 111 o 112 p 113 q
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ASCII characters � ASCII files:
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Why bother about ASCII characters i
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Analyzing non-numbers Example 6 �
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Analyzing non-numbers Example 6 Par
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Variable Equivalence classes tax-in
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Testing String fields � We encoun
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Testing String fields Example 7 �
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Testing String fields Example 7 Ste
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© Sowmya Padmanabhan, 2003 92
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25 EM End of medium 26 SUB Substitu
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80 P 81 Q 82 R 83 S 84 T 85 U 86 V
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Extended ASCII Characters Reference
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Session 3: Domain Testing Sowmya Pa
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Testing multidimensional variables
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Testing multidimensional variables
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General analysis of multidimensiona
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Multidimensional numeric fields Exa
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Multidimensional string fields Exam
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Multidimensional string fields �
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Testing Enumerated fields � Range
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Testing Enumerated fields � Examp
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Testing Enumerated fields Example 4
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Identifying variables of a given pr
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Developing test cases for given pro
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Variable Dimension Equivalence clas
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Variable Dimension Equivalence clas
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Look In Variable Equivalence classe
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For ASCII sub-range of allowed grou
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Files of Type Variable Equivalence
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Appendix I: Day 4 Lecture (Day 4 Le
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Testing in combination-Why? � All
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All possible combinations testing
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All-Pairs Combination Testing � M
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All-Pairs Combination Testing � I
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All-Pairs Combination Testing � 7
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All-Pairs Combination Testing Examp
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Application of all-pairs combinatio
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Iteration 3: Test case# Y (4) X (3)
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Iteration 3: Test case# a (4) b (3)
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Iteration 6: Test case# a (4) b (3)
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Look In Variable Equivalence classe
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For ASCII sub-range of allowed grou
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Files of Type Variable Equivalence
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Iteration 2 Test case# LI (6) E(4)
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Appendix J: Day 2 Exercises (Day 2
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d. Partition the input domain into
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f. Partition the input domain into
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d. Next, identify the risks associa
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Non-Numbers Identify the risks asso
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Day 3 Exercises Date: ____________
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g. Partition the input domain into
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e. What is the input domain? f. Nex
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Enumerated fields 3. In the online
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. In Internet Explorer, in the File
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Alignment
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Border
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Protection
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Analyzing given programs/functions
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3. Is the variable multidimensional
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iv. Next, identify the risks associ
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6. For the ‘Insert Table’ funct
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3. Is the variable multidimensional
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iv. Next, identify the risks associ
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Appendix L: Day 4 Exercises (Day 4
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iv. Determine the number of pairs i
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v. Build the all-pairs combination
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4. Develop a series of combination
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Domain Testing-Test A 1 (100 points
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3. A string field/variable ‘s’
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5. The screenshot of the ‘Login
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7. An I-20 VISA 2 program for inter
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9. ZLTech has a web-based student r
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2. A floating-point field/variable
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4. DVD Collections, Inc. has a shop
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6. There are four variables ‘a’
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8. XYZ 3 credit cards offer a ‘ca
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Appendix N: Performance Test (Perfo
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Performance Test (Revised) (100 poi
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Date: _________________ Evaluation
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Appendix P: Instructional Objective
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Appendix Q: Bloom’s Taxonomy of L
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4. Analysis • seeing patterns •
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Day 2 Examples Day 3 Examples Trace
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Day 4 Exercises Example Level HOO I
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Training Schedule Day Instructional
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STUDENT APPLICATION RESEARCH INVOLV
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8. Explain how your proposed study
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CONSENT FORM: DOMAIN TESTING EXPERI
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Appendix V: Call for Participation:
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Appendix W: Call for Participation:
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Appendix X: Performance Tests’ Ev
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• If one student had provided a g
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o You could type more or less quick
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There's no rationale for these test
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page size, perhaps via print or pri
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• Using the variables that this s
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• In the all-pairs analysis, 7 va
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Analysis of Student Performance in
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tester with a couple years experien
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APPENDIX A In this analysis, I used
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esolution: incrementer buttons: .1
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A different orientation may be used
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Slides orientation vs. notes orient
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localized versions of Windows alter
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Report on experiment on teaching sp
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All-pairs analysis The results of t
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