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Member of the group :
Yashinta N. W.
Nafisah Aulia
Marisa Binlah
Collecting,
Analyzing, and
Interpreting
qualitative data
Qualitative
Research
Qualitative research is defined as a market research
method that focuses on obtaining data through
open-ended and conversational communication.
Qualitative research involves collecting and
analyzing non-numerical data (e.g., text, video, or
audio) to understand concepts, opinions, or
experiences. It can be used to gather in-depth
insights into a problem or generate new ideas for
research.
2
WHAT IS DATA COLLECTION IS
QUALITATIVE RESEARCH?
Qualitative data collection is usually unstructured and
data is collected for non-numerical analysis. Usually, the
methods of data collection all the strategies of qualitative
inquiry–ethnography, phenomenological, grounded
theory, narrative and case studies-are similar.
the researcher is taking and whatever the data collection
method (e.g., focus group, one-to-one interviews), the
process will involve the generation of large amounts of
data.
3
STEPS TO COLLECT DATA IN QUALITATIVE RESEARCH :
● Identify the locations or individual who was deliberately
selected.
● The data collection strategy carried out includes:
○ Observation
○ Interviews
○ Documentation
○ Audio visual material.
4
WHAT IS DATA ANALYZE IN
QUALITATIVE RESEARCH?
Data analysis in qualitative research is defined
as the process of systematically searching and
arranging the interview transcripts, observation
notes, or other non-textual materials that the
researcher accumulates to increase the
understanding of the phenomenon
5 STEPS TO ANALYZE DATA
QUALITATIVE :
Step 1: Arrange your Data
Step 2: Organize all your Data
Step 3: Set a Code to the Data Collected
Step 4: Validate your Data
Step 5: Concluding the Analysis Process
6
WHAT IS DATA
INTERPRETATION?
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
7
Qualitative data analysis can be summed up in
one word – categorical. With qualitative
analysis, data is not described through
numerical values or patterns, but through the
use of descriptive context (i.e., text). Typically,
narrative data is gathered by employing a
wide variety of person-to-person techniques.
QUALITATIVE DATA INTERPRETATION
8
These techniques include:
Observations:
detailing behavioral patterns that occur within an observation group.
These patterns could be the amount of time spent in an activity, the
type of activity and the method of communication employed
Documents: much like how patterns of behavior can be observed,
different types of documentation resources can be coded and divided
based on the type of material they contain.
Interviews: one of the best collection methods for narrative data.
Enquiry responses can be grouped by theme, topic or category. The
interview approach allows for highly-focused data segmentation
9
Thank
you

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Collecting, analyzing, and interpreting qualitative data

  • 1. Member of the group : Yashinta N. W. Nafisah Aulia Marisa Binlah Collecting, Analyzing, and Interpreting qualitative data
  • 2. Qualitative Research Qualitative research is defined as a market research method that focuses on obtaining data through open-ended and conversational communication. Qualitative research involves collecting and analyzing non-numerical data (e.g., text, video, or audio) to understand concepts, opinions, or experiences. It can be used to gather in-depth insights into a problem or generate new ideas for research. 2
  • 3. WHAT IS DATA COLLECTION IS QUALITATIVE RESEARCH? Qualitative data collection is usually unstructured and data is collected for non-numerical analysis. Usually, the methods of data collection all the strategies of qualitative inquiry–ethnography, phenomenological, grounded theory, narrative and case studies-are similar. the researcher is taking and whatever the data collection method (e.g., focus group, one-to-one interviews), the process will involve the generation of large amounts of data. 3
  • 4. STEPS TO COLLECT DATA IN QUALITATIVE RESEARCH : ● Identify the locations or individual who was deliberately selected. ● The data collection strategy carried out includes: ○ Observation ○ Interviews ○ Documentation ○ Audio visual material. 4
  • 5. WHAT IS DATA ANALYZE IN QUALITATIVE RESEARCH? Data analysis in qualitative research is defined as the process of systematically searching and arranging the interview transcripts, observation notes, or other non-textual materials that the researcher accumulates to increase the understanding of the phenomenon
  • 6. 5 STEPS TO ANALYZE DATA QUALITATIVE : Step 1: Arrange your Data Step 2: Organize all your Data Step 3: Set a Code to the Data Collected Step 4: Validate your Data Step 5: Concluding the Analysis Process 6
  • 7. WHAT IS DATA INTERPRETATION? 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 7
  • 8. Qualitative data analysis can be summed up in one word – categorical. With qualitative analysis, data is not described through numerical values or patterns, but through the use of descriptive context (i.e., text). Typically, narrative data is gathered by employing a wide variety of person-to-person techniques. QUALITATIVE DATA INTERPRETATION 8
  • 9. These techniques include: Observations: detailing behavioral patterns that occur within an observation group. These patterns could be the amount of time spent in an activity, the type of activity and the method of communication employed Documents: much like how patterns of behavior can be observed, different types of documentation resources can be coded and divided based on the type of material they contain. Interviews: one of the best collection methods for narrative data. Enquiry responses can be grouped by theme, topic or category. The interview approach allows for highly-focused data segmentation 9