ACEFGHI
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First, filter by your preference for each factor:
Possible analysis steps:
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RigorSpeedTeam inclusivityStep 1Step 2Step 3Step 4
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Very goodVery longFairly inclusive1. Split data by yourself2. Do the first round of categorizing with your team3. Do further categorizing by yourself4. Totally recategorize the data with your
4
Very goodVery longQuite inclusive1. Split data with your team's help2. Do the first round of categorizing with your team3. Do further categorizing by yourself4. Totally recategorize the data with your
5
Very goodVery longFairly inclusive1. Split data with your team's help2. Do the first round of categorizing by yourself3. Do further categorizing by yourself4. Totally recategorize the data with your
6
Very goodVery longQuite inclusive1. Split data by yourself2. Do the first round of categorizing with your team3. Do further categorizing with your team4. Totally recategorize the data with your
7
Very goodVery longTotal inclusion1. Split data with your team's help2. Do the first round of categorizing with your team3. Do further categorizing with your team4. Totally recategorize the data with your
8
Very goodVery longFairly inclusive1. Split data by yourself2. Do the first round of categorizing by yourself3. Do further categorizing with your team4. Totally recategorize the data with your
9
Very goodVery longQuite inclusive1. Split data with your team's help2. Do the first round of categorizing by yourself3. Do further categorizing with your team4. Totally recategorize the data with your
10
Very goodVery longLess inclusive1. Split data by yourself2. Do the first round of categorizing with your team3. Do further categorizing by yourself4. Totally recategorize the data by yourself
11
Very goodVery longFairly inclusive1. Split data with your team's help2. Do the first round of categorizing with your team3. Do further categorizing by yourself4. Totally recategorize the data by yourself
12
Very goodVery longLess inclusive1. Split data with your team's help2. Do the first round of categorizing by yourself3. Do further categorizing by yourself4. Totally recategorize the data by yourself
13
Very goodVery longFairly inclusive1. Split data by yourself2. Do the first round of categorizing with your team3. Do further categorizing with your team4. Totally recategorize the data by yourself
14
Very goodVery longQuite inclusive1. Split data with your team's help2. Do the first round of categorizing with your team3. Do further categorizing with your team4. Totally recategorize the data by yourself
15
Very goodVery longLess inclusive1. Split data by yourself2. Do the first round of categorizing by yourself3. Do further categorizing with your team4. Totally recategorize the data by yourself
16
Very goodVery longFairly inclusive1. Split data with your team's help2. Do the first round of categorizing by yourself3. Do further categorizing with your team4. Totally recategorize the data by yourself
17
GoodFairLess inclusive1. Split data by yourself2. Do the first round of categorizing with your team3. Do further categorizing by yourself
18
GoodLongQuite inclusive1. Split data with your team's help2. Do the first round of categorizing with your team3. Do further categorizing by yourself
19
GoodFairNot inclusive1. Split data by yourself2. Do the first round of categorizing by yourself3. Do further categorizing by yourself
20
GoodFairLess inclusive1. Split data with your team's help2. Do the first round of categorizing by yourself3. Do further categorizing by yourself
21
GoodLongQuite inclusive1. Split data by yourself2. Do the first round of categorizing with your team3. Do further categorizing with your team
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GoodLongTotal inclusion1. Split data with your team's help2. Do the first round of categorizing with your team3. Do further categorizing with your team
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GoodFairLess inclusive1. Split data by yourself2. Do the first round of categorizing by yourself3. Do further categorizing with your team
24
GoodLongQuite inclusive1. Split data with your team's help2. Do the first round of categorizing by yourself3. Do further categorizing with your team
25
FairFasterFairly inclusive1. Split data by yourself2. Do the first round of categorizing with your team
26
FairFairTotal inclusion1. Split data with your team's help2. Do the first round of categorizing with your team
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FairFasterNot inclusive1. Split data by yourself2. Do the first round of categorizing by yourself
28
FairFasterFairly inclusive1. Split data with your team's help2. Do the first round of categorizing by yourself
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PoorVery fastNot inclusive1. Split data by yourself
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PoorVery fastTotal inclusion1. Split data with your team's help