QUANTITATIVE RESEARCH DESIGN || PRACTICAL RESEARCH 2

Summary

This video lesson explores various research designs in quantitative research, emphasizing descriptive, correlational, experimental, and causal-comparative approaches. Descriptive research focuses on describing characteristics and trends, while correlational studies the relationship between variables. Experimental research manipulates variables to observe effects, and causal-comparative compares groups to determine causality. The lesson aims to educate viewers on the fundamentals of quantitative research design.

Takeaways

• 📊 Descriptive research design is used to gather data from a large number of cases and defines existing conditions or phenomena.
• 🔍 Descriptive research identifies trends, correlations, and categories such as 'what,' 'how,' 'when,' and 'where.'
• 📚 Examples of descriptive research include studies like describing how parents feel about the K-12 curriculum or analyzing the impact of social programs like 'Pantawid Pamilyang Pilipino Program.'
• 📈 Correlational research design defines the degree of relationship between two or more variables using statistical data.
• 💡 An example of correlational research is studying the correlation between sleep hours and academic performance or the relationship between study time and exam scores.
• 🧪 Experimental research design manipulates an independent variable to determine the effect on another variable, often done in controlled environments like laboratories.
• 🧑‍🔬 An example of experimental research is testing the effectiveness of a vaccine or analyzing the effect of video learning tools on academic performance.
• ⚖️ Causal-comparative research explores possible causal relationships among variables that cannot be manipulated, comparing two or more groups to investigate differences.
• 👥 An example of causal-comparative research is studying the effects of peer counseling on students' emotional conditions or examining if attitudes towards math differ by gender.
• 📑 The four main types of quantitative research designs discussed are descriptive, correlational, experimental, and causal-comparative.

Q & A

What is the main purpose of descriptive research design?

The main purpose of descriptive research design is to gather data from a relatively large number of cases to define the existing condition or phenomenon of a classified variable. It aims to describe trends, correlations, and categories by answering questions like what, how, when, and where.

Can you provide an example of a topic that uses descriptive research design?

An example of a descriptive research design topic is 'A description of how parents feel about the K-12 curriculum.' This type of research focuses on describing the current or prevailing conditions related to the topic.

What is correlational research design used for?

Correlational research design is used to define the degree of relationship between two or more variables using statistical data. It helps determine whether a relationship between variables is positive or negative.

What is an example of a topic using correlational research design?

An example of a correlational research design topic is 'The relationship between number of sleep hours and academic performance.' This research investigates how the number of sleep hours may affect academic performance.

What distinguishes experimental research design from other designs?

Experimental research design is characterized by the manipulation of an independent variable to determine its effect. Respondents are randomly assigned to treatment groups, and the research is often conducted in controlled laboratory settings.

Can you provide an example of experimental research design?

An example of experimental research design is 'The effect of a video learning tool on academic performance.' In this case, the video learning tool is the independent variable being manipulated to observe its impact on academic outcomes.

What is causal-comparative research design?

Causal-comparative research design explores possible causal relationships among variables that cannot be manipulated by the researcher. It often involves comparing two or more groups to determine the cause of differences in outcomes.

What is an example of causal-comparative research design?

An example of causal-comparative research design is 'The effect of peer counseling and support groups on students' emotional condition.' This research compares groups to identify whether peer counseling or support groups influence emotional well-being.

What are the key differences between descriptive and correlational research designs?

Descriptive research focuses on describing current or prevailing conditions, while correlational research examines the relationship between two or more variables. Descriptive research does not look for cause-and-effect, whereas correlational research looks at the strength and direction of relationships between variables.

How do experimental and causal-comparative research designs differ?

Experimental research involves manipulating an independent variable and assigning subjects randomly to groups, while causal-comparative research compares existing groups without manipulation to find causal relationships. Experimental design seeks to control variables, whereas causal-comparative design observes natural differences.

Outlines

00:00

📊 Descriptive and Correlational Research Designs

This paragraph introduces the concept of research design in quantitative research, focusing on descriptive and correlational designs. Descriptive research aims to define existing conditions or phenomena without manipulating variables. It is used to identify trends, correlations, and variables. Examples include studying parents' feelings about the K-12 curriculum and analyzing the impact of a Filipino program. Correlational research design measures the degree of relationship between two or more variables using statistical data. It helps determine how one variable affects another, as illustrated by the example of the correlation between sleep hours and academic performance.

05:00

🔬 Experimental and Causal Comparative Research Designs

The second paragraph delves into experimental and causal comparative research designs. Experimental research involves manipulating an independent variable to observe its effect on a dependent variable, such as testing the efficacy of a vaccine. It typically takes place in a controlled environment like a laboratory, with subjects randomly assigned to treatments. Causal comparative research explores potential causal relationships among variables that cannot be manipulated, comparing at least two groups to determine the cause of pre-existing differences. Examples given include the impact of peer counseling on students' emotional conditions and whether attitudes toward math differ by gender.

10:02

📢 Conclusion and Call to Action

The final paragraph summarizes the key points of the video, which covers various types of quantitative research designs: descriptive, correlational, experimental, and causal comparative. It encourages viewers to like, subscribe, and enable notifications for more educational content, highlighting the channel's role in providing math lessons and tutorials.

Keywords

💡Descriptive Research Design

Descriptive research design is a method used to gather data from a relatively large number of cases to define the existing condition or phenomenon of a classified variable. In the video, this concept is used to explain how researchers can identify trends, correlations, and variables to describe current conditions. For example, the script mentions a descriptive research design could be used to describe how parents feel about the K-12 curriculum.

💡Quantitative Research

Quantitative research is a systematic approach to objective investigation of a particular phenomenon where the researcher aims to test theories or hypotheses. The video discusses different types of quantitative research designs, emphasizing their use in collecting numerical data to measure and analyze phenomena.

💡Correlational Research Design

Correlational research design is used to define the degree of relationship between two or more variables using statistical data. The video explains that this design helps determine the extent to which one variable relates to another, such as the correlation between the number of sleep hours and academic performance.

💡Variables

Variables in research are the attributes or conditions that can change or vary. The video mentions variables in the context of descriptive and correlational research designs, where researchers analyze how changes in one variable might affect another, such as the impact of sleep hours on academic performance.

💡Hypothesis

A hypothesis is a proposed explanation or assumption made based on limited evidence as a starting point for further investigation. The video script indicates that in descriptive research, a hypothesis is not pre-existing but data collection leads to the formation of hypotheses.

💡Experimental Research Design

Experimental research design involves manipulating an independent variable to determine its effect on a dependent variable. The video uses the example of vaccine development, where the vaccine is the independent variable, and its effectiveness is what researchers aim to measure.

💡Random Assignment

Random assignment is a method used in experimental research to ensure that subjects are assigned to different groups by chance, not by selection bias. The video emphasizes that in experimental research design, subjects are randomly assigned to experimental treatment groups to ensure the validity of results.

💡Causal Comparative Research Design

Causal comparative research design is used to explore possible causal relationships among variables that cannot be manipulated by researchers. The video gives an example of comparing the emotional condition of students with and without peer counseling to determine if there is a causal relationship.

💡Data Collection

Data collection is the process of gathering information and measuring variables in an evaluative manner that allows you to answer the research question and test the hypothesis. The video mentions data collection as a critical step in both descriptive and experimental research designs.

💡Statistical Data

Statistical data refers to information in a numerical form that is collected through various methods and used for analysis. The video discusses how statistical data is used in correlational research design to define relationships between variables.

💡Likert Scale

Although not explicitly mentioned in the script, the Likert scale is a common tool used in quantitative research to measure respondents' opinions or reactions, which could be relevant to the discussion on data collection methods in descriptive research.

Highlights

Introduction to different research designs in quantitative research

Descriptive research design used to gather data from a large number of cases

Descriptive research design defines existing conditions or phenomena

Descriptive research design identifies trends, correlations, and variables

Descriptive research design does not start with a hypothesis

Examples of descriptive research design topics

Correlational research design defines the degree of relationship between variables

Correlational research design uses statistical data

Example of correlational research: sleep hours and academic performance

Correlational research design determines the extent of variable relationships

Experimental research design manipulates an independent variable

Experimental research design determines the effect of manipulation

Experimental research design is conducted in a laboratory setting

Example of experimental research: effect of a video learning tool on academic performance

Causal-comparative research design explores causal relationships among variables

Causal-comparative research design compares two or more groups

Causal-comparative research design investigates pre-existing differences

Example of causal-comparative research: effect of peer counseling on emotional condition

Summary of quantitative research designs: descriptive, correlational, experimental, and causal-comparative

Encouragement to like, subscribe, and hit the bell button for more tutorials

Transcripts

[Music]

hello marco almat in this video lesson

we will discuss the different research

design in quantitative research

so san bernardino research design is a

chapter two or nasa methodology nation

so after new methodology market anatomy

on research

non-descriptive research design it used

to gather data from relatively large

number of cases

and it defines the existing condition or

phenomenon of a classified variable

so as a descriptive research design case

identifying

trends

correlation and uh even variables and

categories

like what how when and where so manga

you says okay no research on design at

all which is the descriptive

to describe the current or prevailing

conditions

another is to take purposefully data

from respondents so i need my examples

and descriptive research design so

example topics or uh noped impact

arrange a descriptive research design

a description of how parents

feel about the k-12 curriculum

another example analyzing the impact of

the pantoid pamela filipino program

so again and descriptive research design

i

well uh he didn't exist him as a

hypothesis

after known

uh collection of data so after that in

my gathering data so petty time macaroni

and hypothesis done so

in descriptive a hindi nagi starts a

hypothesis

another research design is correlational

so it is

[Music]

is correlational research design so it

defines the degree of relationship

between two or more variables using

statistical data so

design and genomic

so like for example uh it's a

topic let's say for example correlation

between number of sleep hours and

academic performance

so dito

is a problem

de la luang viable which is the number

of sleep hours and the academic

performance so teeny ting nan kumar

relationship battalaga young number of

sleep arts du sama gigging academic

performance nice to jante so it is

relational research design so

correlational research design uses to

determine means the extent of how one

variable relates to another

and another it described how one viable

affects the other so detos a

correlational research design

magicking uh result no no

study malama it's either dating and mo

if they have positive

or merocilan negative correlation so

madeleines gamete

uh

instrument or noise statistical

treatment para magua nothing

or negative correlated assume person are

so

another example the correlational what

is the relationship between study time

and the exam score among senior high

school student so many time the long

variable then

the study time and the score of the exam

score so you're in the variable nathan

next is experimental so an experimental

matas

no it is

it's a research design

so

experimental research design is an

independent viable is manipulated to

determine the effect of manipulation

like for example

generation

medical area no let's say in vaccine and

develop the vaccine

effective or hindi so that is

experimental so in experimental research

design

your respondents modi in internet

and then kissing experimental research

design hindi language survey hindi

nagoya questionnaires

experimental research design true

laboratory

and of course in experimental research

design the subjects are randomly

assigned to experimental treatment so

take note your word randomly assign so

again an example nathan an independent

video learning tool its effect on

academic performance

so tinnitus or teeny ting nan

okay your independent video learning

tool or you

so another research design is the

coastal comparative it explore possible

causal relationship among variables that

cannot be manipulated by the researchers

so

at least two groups

uh since you are comparing the two

groups

or two or more groups eating them

so at least may

and the researcher attempts

to determine the cause

or the reason for

pre-existing difference in groups of

individuals

one of the characteristics of causal

comparative it investigates whether

there are differences

between two or more groups on the

phenomena so like for example the effect

of

peer counseling and support group one

student's emotional condition so another

example do attitudes toward math differ

by gender so it is into some

lagging clinic questions no

uh

angle

high school students so

pr tunil also quantitative research

still so maritime descriptive

correlational experimental and then

causal comparative

a right to summarize the quantitative

research design first is the descriptive

which is uh the main focus is to

describe characteristics

correlation studying relationship

between two variables

experimental manipulating condition and

studying effects and for causal

comparative comparing known groups to

determine

causality

thank you for watching this video i hope

you learned something

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the bell button put updated ko for more

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