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Group 3:
Auliatuz Zahrotul Jannah
Alfa Fitri Fajriyati
Irma Imroatina
Collecting, Analizing
and Interpreting
Data Quantitative
Research Methodology
Table of Contents
Analizing
Collecting Interpreting
01 03
02
Collecting Data
Quantitative
is defined as the procedure of
collecting, measuring and analyzing
accurate insights for research using
standard validated techniques. A
researcher can evaluate their
hypothesis on the basis of collected
data.
01
Methods Used or Quantitative Data Collection
Methods used for quantitative
data collection
1. Probability sampling
- Simple random sampling:
- Systematic random sampling
- Stratified random sampling
2. Interviews
- Telephone interviews
- Face-to-face interviews
- Telephone interviews
- Face-to-face interviews
3. Surveys/questionnaires
- Web-based questionnaire
- Mail Questionnaire
4. Observation
- Structured observation
5. Document Review
- Public Records:
- Personal Documents
- Physical Evidence
Analizing Data
Quantitative
Data analysis is the process of
collecting, modeling, and
analyzing data to extract
insights that support decision-
making.
02
Quantitative Data : Analysis
Methods
MaxDiff
analysis
Conjoint
analysis
TURF analysis
Cross-
tabulation
Gap analysis
Trend analysis
SWOT
analysis
Text analysis
Steps to Conduct Quantitative
Data Analysis
Relate
measurement
scales with
variables
Connect
descriptive
statistics with
data
Decide a
measurement
scale:
Select
appropriate
tables to
represent data
and analyze
collected data
Interpreting Data
Quantitative
Data interpretation refers to
the implementation of
processes through which data
is reviewed for the purpose of
arriving at an informed
conclusion. The interpretation
of data assigns a meaning to
the information analyzed and
determines its signification and
implications.
03
Statistical Methods Used in
Analyzing Quantitative Data
Mean Standard
deviation
Frequency
distribution
Source :
● https://www.questionpro.com/blog/data-
collection/amp/
● https://www.questionpro.com/blog/quantitative-
data-collection-methods/amp/
● https://www.datapine.com/blog/data-analysis-
methods-and-techniques/
● https://www.google.com/amp/s/www.questionpro.
com/blog/quantitative-data/amp/
● https://www.datapine.com/blog/data-
interpretation-methods-benefits-problems/
CREDITS: This presentation template was created by
Slidesgo, including icons by Flaticon, and infographics &
images by Freepik.
Thanks

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Quantitative data group 3 ppt

  • 1. Group 3: Auliatuz Zahrotul Jannah Alfa Fitri Fajriyati Irma Imroatina Collecting, Analizing and Interpreting Data Quantitative Research Methodology
  • 3. Collecting Data Quantitative is defined as the procedure of collecting, measuring and analyzing accurate insights for research using standard validated techniques. A researcher can evaluate their hypothesis on the basis of collected data. 01
  • 4. Methods Used or Quantitative Data Collection
  • 5. Methods used for quantitative data collection 1. Probability sampling - Simple random sampling: - Systematic random sampling - Stratified random sampling 2. Interviews - Telephone interviews - Face-to-face interviews - Telephone interviews - Face-to-face interviews 3. Surveys/questionnaires - Web-based questionnaire - Mail Questionnaire 4. Observation - Structured observation 5. Document Review - Public Records: - Personal Documents - Physical Evidence
  • 6. Analizing Data Quantitative Data analysis is the process of collecting, modeling, and analyzing data to extract insights that support decision- making. 02
  • 7. Quantitative Data : Analysis Methods MaxDiff analysis Conjoint analysis TURF analysis Cross- tabulation Gap analysis Trend analysis SWOT analysis Text analysis
  • 8. Steps to Conduct Quantitative Data Analysis Relate measurement scales with variables Connect descriptive statistics with data Decide a measurement scale: Select appropriate tables to represent data and analyze collected data
  • 9. Interpreting Data Quantitative Data interpretation refers to the implementation of processes through which data is reviewed for the purpose of arriving at an informed conclusion. The interpretation of data assigns a meaning to the information analyzed and determines its signification and implications. 03
  • 10. Statistical Methods Used in Analyzing Quantitative Data Mean Standard deviation Frequency distribution
  • 11. Source : ● https://www.questionpro.com/blog/data- collection/amp/ ● https://www.questionpro.com/blog/quantitative- data-collection-methods/amp/ ● https://www.datapine.com/blog/data-analysis- methods-and-techniques/ ● https://www.google.com/amp/s/www.questionpro. com/blog/quantitative-data/amp/ ● https://www.datapine.com/blog/data- interpretation-methods-benefits-problems/
  • 12. CREDITS: This presentation template was created by Slidesgo, including icons by Flaticon, and infographics & images by Freepik. Thanks