Inquiries,
Investigation,
and Immersion
Finding the Answers to the Research
Questions (Data Analysis Method)
OBJECTIVE
In this module, you are expected to analyze
data with intellectual honesty using suitable
techniques.
The following terms will be encountered in the lesson:
A. Using a concept web, write words/ideas that you can connect to the given words
(DATA and ANALYSIS). From those words you thought, try to construct your own
meaning of DATA ANALYSIS. Use a separate sheet of paper in answering the activity.
B. Familiarize yourself with dos and don’ts in citing sources in research. Then group the
words accordingly using the template. Use a separate sheet of paper in answering the activity.
Data Analysis Methods
01. 02.
Rewrite the Chapters 1-3 before or after Rewrite the chapters in past tense, wherever
data analysis and before writing applicable, and make
Chapter 4 corrections for actual data collection and
data analysis procedures.
What is the first thing that comes to mind when we see
data?
01. 02.
Data analysis is how There are many different
researchers go from a data analysis methods,
mass of data to depending on the type of
meaningful insights. research.
.
Analyzing
Qualitative Data
01. Qualitative data analysis works a little differently from quantitative data,
primarily because qualitative data is made up of words, observations, images,
and even symbols
02. Deriving absolute meaning from such data is nearly impossible; hence, it is
mostly used for exploratory research.
Data Preparation and Basic Data Analysis
Getting familiar Revisiting
with the data research
objectives:
Since most qualitative data is just words, the Here, the researcher revisits the research
researcher should start by reading the data objective and identifies the questions that
several times to get familiar with it and start can be answered through the collected data.
looking for basic observations or patterns. .
This also includes transcribing the data.
Data Preparation and Basic Data Analysis
Developing a Identifying
framework: patterns and
Also known as coding or indexing, here the
connections
researcher identifies broad ideas, concepts,
Once the data is coded, the research can start identifying
behaviors, or phrases and assigns codes to them.
themes, looking for the most common responses to
For example, coding age, gender, socioeconomic
questions, identifying data or patterns that can answer
status, and even concepts such as the positive or
research questions, and finding areas that can be
negative response to a question. Coding is helpful
explored further.
in structuring and labeling the data
.
Qualitative Data
Analysis Methods
Qualitative Data Analysis Methods
Content analysis: Narrative
analysis
This is one of the most common methods to This method is used to analyze content from various
analyze qualitative data. It is used to analyze sources, such as interviews of respondents,
documented information in the form of texts, observations from the field, or
media, or even physical items. When to use this surveys. It focuses on using the stories and
method depends on the experiences shared by people to
research questions. Content analysis is usually used answer the research questions..
to analyze responses from
interviewees.
Qualitative Data Analysis Methods
Framework Discourse
analysis. analysis
This is more advanced method that consists of Like narrative analysis, discourse analysis is used to
several stages such as familiarization, identifying a analyze interactions with people. However, it
thematic framework, coding, focuses on analyzing the social
charting, mapping and interpretation. context in which the communication between the
researcher and the respondent occurred. Discourse
analysis also looks at the respondent’s day-today
environment and uses that information during
analysis.
Qualitative Data Analysis Methods
Grounded
theory:
This refers to using qualitative data to explain why
a certain phenomenon happened. It does this by
studying a variety of similar cases in different
settings and using the data to derive causal
explanations. Researchers may alter the
explanations or create new ones as they study more
cases until they arrive at an explanation that fits all
cases.
Presented by Sandra Haro
Thank you
very much!
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