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Research. This is it! by Ben Baarda
- Summary • 32 pages • 2021
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- $12.70
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This summary contains the entire book of Research. This is it! It contains theory covered in the PGT and useful information for every research you conduct.
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Research Summary: CIB2 Online Branding
- Summary • 9 pages • 2020
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Available in package deal
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- $4.45
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Summary of the research part, includes both class notes and those derived from the 'Research! This is it.'
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FlyGreen Qualitative Research
- Other • 47 pages • 2020
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- $8.91
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This is mynFlyGreen Qualitative Research. My final grade was 7.7. You can use this as an example to write yours.
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CPA2 1.1 Research summary "Research. This is it!"
- Summary • 15 pages • 2019
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- $7.79
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Summary for CPA2 1.1 International Communication research lessons and the book "Research. This is it!" includes chapters 1.1-1.4, 1.6, 3.2, 4.2.1
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Block 2.3 complete notes
- Package deal • 5 items • 2019
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- $17.83
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This is a summary in the form of a Q&A of EVERYTHING. Good luck :)
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Portfolio year 1 experience design (grade 8,9)
- Essay • 35 pages • 2019
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- $8.91
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individual Experience Design portfolio including the practical assignment.
I got an 8,9! with this portfolio last year for experience design. This can help as an example of what is expected. DON'T COPY! Because = plagiarism
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2.1 Exam Summary (Campaign, Behavior Change, Design Research etc.)
- Summary • 31 pages • 2019
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- $7.24
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All theories from Block 2.1. Communication theory from all lectures and books summarized with examples, as well as all necessary information from the Design Research Handbook and Research lectures.
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Research block 2.3 IC
- Summary • 19 pages • 2019
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Available in package deal
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- $5.01
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Notes in the form of a Q&A :)
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Research. This is it!
- Summary • 7 pages • 2019
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- $3.33
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Research. This is it!, second edition	Baarda	2014	6964	ch. 1.1-1.4, 1.6, 3.2, 4.2.1
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Data Analysis Lecture Notes Y1T2
- Class notes • 2 pages • 2019
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- $6.12
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Notes of lectures about Data Analysis in Module "Applied Research". Study course International Development Management at Hogeschool Van Hall Larenstein. How is qualitative data well analysed?