INTRODUCTION TO QUANTITATIVE RESEARCH || PRACTICAL RESEARCH 2
Summary
TLDRThis video lesson introduces quantitative research, emphasizing its objective nature, reliance on numerical data, and statistical analysis for generalizable results. It outlines eight key characteristics, including clear research questions, structured instruments, numerical data presentation, large sample sizes, replicability, predictive capabilities, and the ability to verify facts and develop concepts. The video encourages viewers to like, subscribe, and stay updated for more educational content.
Takeaways
- 🔍 Quantitative research is an objective and methodical investigation of phenomena using numerical analysis and computational procedures.
- 📊 It emphasizes precision and accuracy in measurement and analysis, avoiding intuition and guesswork in forming conclusions.
- 📝 Research questions in quantitative research are clearly defined to ensure a focused approach and precise answers.
- 📋 The research instruments, such as questionnaires, are well-structured and designed to gather measurable data.
- 📈 Data in quantitative research is presented numerically, often in the form of tables, charts, and graphs to illustrate trends and relationships.
- 🔢 Large sample sizes are used to increase the reliability of the data analysis and to minimize biases.
- 🔄 Reliable quantitative studies can be replicated to verify the correctness of the results in different settings.
- 🔮 Quantitative data can be used to predict future outcomes or make forecasts based on past data and complex mathematical calculations.
- 📚 The results of quantitative research can validate existing facts and contribute to the development of new concepts.
- 🛎️ The video encourages viewers to like, subscribe, and hit the bell for more educational content, highlighting the importance of community engagement for ongoing learning.
Q & A
What is the main focus of the video lesson?
-The main focus of the video lesson is to introduce quantitative research, define it, and describe its characteristics.
What does quantitative research involve?
-Quantitative research involves the use of computational procedures in an objective, methodical, and experiential investigation of phenomena, with an emphasis on numerical analysis of data that can be generalized to a larger population.
What is the primary concern of quantitative research?
-The primary concern of quantitative research is the number and its relationship with events, statistics, and probability.
How does quantitative research approach hypothesis testing?
-Quantitative research approaches hypothesis testing by using statistical techniques to analyze data, such as examining the relationship of variables in a scatter diagram or different types of correlation.
What are the 8 characteristics of quantitative research mentioned in the script?
-The 8 characteristics are: 1) Objective, not subjective; 2) Clearly defined research questions; 3) Clearly structured research instruments; 4) Numerical presentation of data; 5) Large sample size; 6) Replicated but not duplicated; 7) Data can be used to predict future outcomes; 8) Data can be used to verify existing facts and develop new concepts.
Why is precision and accuracy of measurement important in quantitative research?
-Precision and accuracy of measurement are important in quantitative research to ensure reliable and valid results, and to avoid biases in the conclusions drawn from the data.
How should research questions be formulated in quantitative research?
-Research questions in quantitative research should be precise and clear, allowing the readers and researchers to understand the objectives and what the researcher is looking for. They should include identification of respondents, interventions, comparison variables, and outcomes.
What does the script imply about the organization of research instruments in quantitative research?
-The script implies that research instruments in quantitative research should be well-organized and planned, with different dimensions and scales, enabling the collection of measurable characteristics of the population.
Why is a large sample size important in quantitative research?
-A large sample size is important in quantitative research to increase the reliability of data analysis, avoid biases, and ensure that the results are representative of the population being studied.
How can quantitative research be used to predict future outcomes?
-Quantitative research can use complex mathematical calculations and computer-aided modeling to predict future outcomes based on past data. This is particularly useful when past numerical data is available and patterns are expected to continue into the future.
What is the role of replication in quantitative research?
-Replication in quantitative research is important to verify or confirm the correctness of the results in different settings, ensuring the validity of the findings and eliminating the possibility of spurious conclusions.
How can quantitative research contribute to the development of new concepts?
-Quantitative research can contribute to the development of new concepts by providing empirical evidence that supports or challenges existing theories, and by offering insights that can lead to innovative ideas for practical applications.
Outlines
🔍 Introduction to Quantitative Research
This paragraph introduces the concept of quantitative research, emphasizing its objectivity and reliance on numerical data analysis. It outlines the goal of generalizing findings to a larger population and eliminating biases. Key characteristics of quantitative research are introduced, such as the use of statistical techniques for hypothesis testing and the focus on precision and accuracy in measurement and analysis. The paragraph also highlights the importance of clearly defined research questions and structured research instruments, like questionnaires, to gather measurable data.
📊 Characteristics and Applications of Quantitative Research
The second paragraph delves deeper into the characteristics of quantitative research, discussing the numerical presentation of data through tables, charts, and graphs to illustrate trends and relationships. It mentions the significance of large sample sizes for more reliable data analysis and the normal distribution requirement. The paragraph also touches on the replicability of quantitative studies to verify results and the use of data for predicting future outcomes through mathematical calculations and computer models. Lastly, it notes that quantitative research can be used to confirm existing facts and develop new concepts.
📚 Conclusion and Call to Action
The final paragraph serves as a conclusion to the video lesson, summarizing the key points discussed and encouraging viewers to apply the knowledge gained. It includes a reminder for viewers to like, subscribe, and turn on notifications for more video tutorials. The paragraph reinforces the educational value of the content and the channel's role as a guide in learning.
Mindmap
Keywords
💡Quantitative Research
💡Numerical Analysis
💡Generalization
💡Statistics
💡Hypothesis Testing
💡Research Questions
💡Research Instrument
💡Numerical Presentation
💡Sample Size
💡Replicability
💡Prediction
💡Verification
Highlights
Introduction to quantitative research, including its definition and characteristics.
Quantitative research is an objective, methodical, and experiential investigation with numerical data analysis.
The aim of quantitative research is to generalize results to a larger population without biases.
Quantitative research focuses on numbers and their relationship with events, utilizing statistics and probability.
Hypothesis testing is a key aspect of quantitative research, using statistical techniques for data analysis.
Characteristics of quantitative research include objectivity, precision, and accuracy in measurement and analysis.
Research questions in quantitative studies are clearly defined, ensuring focused and precise inquiries.
Quantitative research instruments are well-structured, such as questionnaires and checklists.
Data in quantitative research is numerically presented, often in tables, charts, and graphs.
Large sample sizes are used in quantitative research to increase the reliability of data analysis.
Quantitative studies can be replicated to verify the correctness of results in different settings.
Data from quantitative research can be used to predict future outcomes through mathematical calculations.
Quantitative research can validate existing facts and develop new concepts for practical applications.
The importance of a clear study design to ensure the data collected answers the research questions.
The use of structured research tools allows for the collection of measurable characteristics of the population.
Numerical data presentation consolidates large amounts of data to show trends and relationships.
A minimum of 20 percent of the population can be used as respondents in quantitative research.
The video discusses the application of quantitative research in the context of COVID-19 vaccine research.
The video concludes with an encouragement to like, subscribe, and follow for more educational content.
Transcripts
[Music]
hello makawamat in this video lesson we
will discuss the introduction to
quantitative research before we proceed
to our discussion don't forget to like
our videos and subscribe nereinker
in this video lesson you are expected to
define quantitative research describe
the different characteristics of
quantitative research you number two
information that will be discussed on
the next video lesson but this time in
this video lesson we focus on the
definition and characteristics of
quantitative research
so first what is quantitative research
so when you say quantitative research
through the use of computational
procedures is an objective methodical
experiential investigation of
recognizable phenomena it is highlighted
with numerical analysis of data
expecting that the result that can be
generalized to some bigger population
and describe a particular observation
having no biases so the primary concern
of quantitative research is number and
its relationship with events
statistics and probability
ma apply nothing details a quantitative
research so hagayan
hypothesis testing using statistical
techniques in analyzing data for example
the relationship of variables spreading
out in gamma 10 and scatter diagram
or the different types of correlation my
applying detail and person are
what are the characteristics of
quantitative research
8 characteristics of quantitative
research
so what are those first it is objective
not subjective
so
precision and accuracy of measurement
and analysis is the target of the
concepts furthermore intuition and
guesses is not practiced or used in
developing conclusion or solution to a
problem so in quantitative research it
put emphasis on proof rather than
discovery kagayanang vaccines for kovite
19 yuma researchers bagu mabu yang bak
sinayan meron silang bases
another characteristics research
questions are clearly defined
familiarity of the topic of the research
have to be more focused that it will be
clear to the readers and researchers how
to be advanced in what he is looking for
research questions how to be precise and
clear for which objective answers are
sought so all paces of the study are
carefully designed before data are
gathered a clearly defined research
questions consists of all appropriate
identification of respondents
interventions along with a comparison
variable and outcomes so halimbawan
pagarani has covered 19 vaccines it
should be posed or kailan began
attention at consideration in la hatna
aspeto namanga researchers before
designing the study to ensure that the
study design
and the data collected are operate and
sufficient to answer the questions of
interests
oh
for number three research instrument is
clearly structured
the instrument of the study is well
organized and planned and with the
different dimension scales it is
structured research tools like
questionnaires or
checklists so it also enable to gather
or collect measurable characteristics of
the population like age
gender
educational status socioeconomic status
number of students and among others
for number four numerical presentation
of data so data are organized
and presented in the form of numbers and
statistics it is also presented in the
form of tables
charts graphs and figures
that consolidate large number of data to
show trends relationship or differences
among variables so again it is
presented by tables
charts and graphs and figures that
consolidate large numbers of data so
detox chartnet and our details of
presentation attend so
this is from the
website known wh o so pina
organized at madeline maintain the hand
super detailed
and think balls graphs
confirm cases so most modeling indian ah
okay december 31 or may 2 uh or may 31
confirmed
19. so nothing committed so sharks
and tables most modernly not in my
percent at organize nothing my pakita at
my paliwan
result no study nathan
next is
large sample size
the greater the sample size the more
reliable data analysis yes
number of respondents and participants
most reliable young result than studying
at it this is to avoid biases and
interpreting the results it also
requires normal population distribution
curve a minimum of 20 percent of the
population can be used as respondents of
research
another
for number six replicated but not
duplicate
reliable quantitative studies can be
replicated or repeated but not
duplicated to verify or confirm the
correctness of the results in another
settings validity of the findings
eliminating the possibility of spurious
conclusion
a mix and match approach to covet
vaccines using different brands for
first and second doses appears give good
protections again the pandemic virus so
abs sebagon study
number seven data can be used to predict
future outcomes or forecasts
through complex mathematical calculation
and with the aid of computers and
formulated formulas scenarios can be
predicting future results
so quantitative forecasting models are
used to forecast future data as a
function of bus data they are
appropriate to use when past numerical
data is available and when it is
reasonable to assume that some of the
patterns in the data are expected to
combine into the future so the result of
the research can be used
and also this the last characteristic of
quantitative research data can be used
to verify existing facts and develop new
concepts
a research can validate an existing fact
in some cases
research can be used to develop new
ideas needed to make life more
comfortable
thank you for watching this video i hope
you learned something don't forget to
like subscribe and hit the bell button
but updated ko for more video tutorial
this is your guide in learning your mod
lesson your walmart channel
浏览更多相关视频
PR2 - Introduction to Quantitative Research: Definition of Quantitative Research
Practical Research 2 Lesson 1: Introduction to Quantitative Research
PRACTICAL RESEARCH 1 - Qualitative and Quantitative Research - EP.5 (Research Simplified)
Introduction - Week wise of the course
Ch 2 1 Types of Research
Statistics for Social Work Lecture 01
5.0 / 5 (0 votes)