INTRODUCTION TO QUANTITATIVE RESEARCH || PRACTICAL RESEARCH 2

Summary

This 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

00:00

🔍 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.

05:03

📊 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.

10:25

📚 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.

Keywords

💡Quantitative Research

Quantitative research is a systematic investigation that emphasizes numerical data and statistical methods to analyze relationships and test hypotheses. It is central to the video's theme as it is the main subject being discussed. The script defines it as an 'objective methodical experiential investigation of recognizable phenomena' with a focus on numerical analysis that can be generalized to larger populations. An example from the script is the use of statistical techniques for hypothesis testing.

💡Numerical Analysis

Numerical analysis refers to the application of computational methods and algorithms to obtain numerical results for mathematical problems that cannot be solved analytically. In the context of the video, it is used to highlight the quantitative research's reliance on numbers to describe phenomena and draw conclusions. The script mentions numerical analysis as a key aspect of quantitative research, expecting results that can be generalized.

💡Generalization

Generalization in research is the process of applying findings from a study to a larger population. The script emphasizes that quantitative research aims to produce results that are not only specific to the sample studied but can also be generalized to other contexts. This is illustrated in the script where it is stated that the results of quantitative research can be generalized to a 'bigger population'.

💡Statistics

Statistics is the discipline that concerns the collection, analysis, interpretation, presentation, and organization of data. It is integral to quantitative research as it provides the tools for analyzing numerical data. The script mentions the application of statistical techniques in analyzing data, such as the relationship of variables displayed in a scatter diagram.

💡Hypothesis Testing

Hypothesis testing is a statistical method used to make decisions about the likelihood that a hypothesis is true. It is a fundamental aspect of quantitative research, as the script explains, to analyze data and test the validity of a hypothesis. The script provides an example of hypothesis testing in the context of quantitative research.

💡Research Questions

Research questions are the specific inquiries that guide a study and determine the direction of the investigation. The script highlights the importance of having clearly defined research questions in quantitative research to ensure that the study is focused and the data collected is relevant. The script mentions that research questions should be precise and clear to guide the study and seek objective answers.

💡Research Instrument

A research instrument is a tool used to collect data in a research study, such as questionnaires or checklists. The script explains that in quantitative research, these instruments are clearly structured to gather measurable characteristics of the population. The script provides an example of research tools being structured with different dimensions and scales.

💡Numerical Presentation

Numerical presentation refers to the organization and display of data in numerical form, often using tables, charts, graphs, and figures. The script describes how data in quantitative research is presented numerically to show trends, relationships, or differences among variables, consolidating large amounts of data for clarity.

💡Sample Size

Sample size is the number of subjects or observations included in a study. The script discusses the importance of a large sample size in quantitative research to ensure reliable data analysis and to avoid biases. It mentions that a minimum of 20 percent of the population can be used as respondents for research.

💡Replicability

Replicability is the ability of other researchers to repeat a study and obtain the same results. The script notes that reliable quantitative studies can be replicated to verify the correctness of the results, which is crucial for eliminating the possibility of spurious conclusions. An example from the script is the replication of studies to confirm findings in different settings.

💡Prediction

Prediction in research refers to the use of data and models to forecast future outcomes or trends. The script explains that quantitative research can use data to predict future outcomes through complex mathematical calculations and computer-aided modeling. An example given is the use of quantitative forecasting models to predict future data based on past numerical data.

💡Verification

Verification in research is the process of confirming the accuracy or truth of something. The script mentions that quantitative research can be used to verify existing facts and develop new concepts. It serves as a method to validate or refute hypotheses, ensuring that the conclusions drawn are based on solid evidence.

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

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but updated ko for more video tutorial

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