Causal comparative research involves comparing at least two groups that differ on some independent variable to determine the cause of existing differences on a dependent variable. It aims to identify cause-and-effect relationships when the independent variable cannot be manipulated. Researchers select groups that naturally differ on the independent variable, measure the dependent variable, and analyze differences between groups to infer potential causal relationships. Extraneous variables must also be considered and controlled for when possible.
This presentation is about Quantitative Research, its types and important aspects including advantages and disadvantages, characteristics and definitions.
Experimental Research Design - Meaning, Characteristics and ClassificationSundar B N
This ppt contains Experimental Research Design Which covers Meaning, Characteristics and Classification of Experimental Research Design.
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Topic: What is Reliability and its Types?
Student Name: Kanwal Naz
Class: B.Ed 1.5
Project Name: “Young Teachers' Professional Development (TPD)"
"Project Founder: Prof. Dr. Amjad Ali Arain
Faculty of Education, University of Sindh, Pakistan
This presentation is about Quantitative Research, its types and important aspects including advantages and disadvantages, characteristics and definitions.
Experimental Research Design - Meaning, Characteristics and ClassificationSundar B N
This ppt contains Experimental Research Design Which covers Meaning, Characteristics and Classification of Experimental Research Design.
Subscribe to Vision Academy
https://www.youtube.com/channel/UCjzpit_cXjdnzER_165mIiw
Topic: What is Reliability and its Types?
Student Name: Kanwal Naz
Class: B.Ed 1.5
Project Name: “Young Teachers' Professional Development (TPD)"
"Project Founder: Prof. Dr. Amjad Ali Arain
Faculty of Education, University of Sindh, Pakistan
This is a lecture on "Hypothesis Testing, Research Questions and Choosing a Statistical Test". It was presented at the Colombo Institute for Research and Psychology. The lecture covers key topics including the different types of data, the process of testing a hypothesis, key forms of inferential statistical tests and how to chose a test based on your research question and sample.
Wk. 3 DiscussionFor this week’s discussion we have been tasked w.docxlefrancoishazlett
Wk. 3 Discussion
For this week’s discussion we have been tasked with comparing the characteristics of appropriate research designs and recommend a qualitative research design that would facilitate answering the instructor’s additional questions: : (a) How do their students actually feel about the intervention? and (b) How do students view the influence of the intervention on their learning inside and outside of the classroom (if applicable)?
When it comes to qualitative research methods there are several, however the three most common are participant observation, in-depth interviews and focus groups. Participant observation in a social setting tends to aim to gain a means of better understanding within a given group of individuals, their experiences and observations and collects data. In-depth interviews are utilized for collecting data on individual’s personal history, perspectives, and experiences. This is used particularly with sensitive information. Focus groups allow for data collection through group interview processes and tend to related to specific topics. (Frost, 2011)
In addition to our week two scenario the instructors would like to answer additional questions of how the students actually feel about the intervention as well as how the students view the influence of the intervention on their learning in the classroom as well as outside of the classroom. This relates to the phenomenology research design. Phenomenology focuses on individual thoughts and feelings and its purpose is to dive in and determine what feelings or experiences the students have in relation to the intervention. This method has several different characteristics:
· It seeks to understand how people experience a particular situation or phenomenon.
· It is conducted primarily through in-depth conversations and interviews; however, some studies may collect data from diaries, drawings, or observation.
· Small samples sizes, often 10 or less participants, are common in phenomenological studies.
· Interview questions are open-ended to allow the participants to fully describe the experience from their own view point.
· Phenomenology is centered on the participants’ experiences with no regard to social or cultural norms, traditions, or preconceived ideas about the experience.
· It focuses on these four aspects of a lived experience: lived spaced, lived body, lived time, and lived human relations.
· Data collected is qualitative and analysis includes an attempt to identify themes or make generalizations regarding how a particular phenomenon is actually perceived or experienced. (CIRT, 2019)
Phenomenological research studies tend to be interested in the life experiences of human and would relate directly to answering the instructors additional research questions. (CIRT, 2019) According to CIRT 2019, “A phenomenological study attempts to set aside biases and preconceived assumptions about human experiences, feelings, and responses to a particular situation. It allows th.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
2. Causal Comparative
Research
Determine the cause of existing
differences among groups.
The AIM
3. Causal Comparative
Research
At least two different groups are
compared on a dependent variable or
measure of performance (called the
“effect”) because the independent
variable (called the “cause”) has already
occurred or cannot be manipulated.
Dependent variable-the change or
difference occurring as a result of the
independent variable.
Independent variable- an activity of
characteristic believed to make a
difference with respect to some behavior.
4. Causal Comparative
Research
The researcher attempts to determine the
cause, or reason, for pre existing differences
in groups of individuals.
Attempts to identify cause and effect
relationships.
Involve two or more group variables.
Involve making comparison.
Individuals are not randomly selected and
assigned to two or more groups.
Cannot manipulate the independent variable
Less costly and time consuming
5. Causal Comparative
Research
Type 1 Type 2 Type 3
• Exploration of • Exploration of • Exploration of the
effects (dependent causes consequences
variable) causes by (independent (dependent
membership in a variable) of a group variable) of an
given group. membership. intervention.
• Question: What • Question: What • Question: How do
differences in causes individuals students taught by
abilities are caused to join a gang? the inquiry method
by gender? react to
propaganda?
6. Causal Comparative
Research
1. Problem
2. Sample
STEPS
Taken 3. Design and
Procedure
4. Data Analysis
7. Causal Comparative
Research
Example: The Relationship between Years of Experience and
Job Satisfaction
Causal Comparative Design
Hypotheses
• Alternative- Teachers with a high level of experience will be more
satisfied with their jobs than teachers with low levels of experience.
• Null- Teachers with a high level of experience will be equally satisfied
with their jobs when compared to teachers with low levels of
experience.
Variables
• Dependent- Job satisfaction
• Independent- Years of experience
• Two levels (high & low)
• Exists naturally in the population of teachers at the start of study.
8. Causal Comparative
Research
Example: The Relationship between Years of Experience and
Job Satisfaction
Causal Comparative Design (cont.)
Sample
• Two groups sampled, one for each level of the independent variable
• High Experience
• Low Experience
9. Causal Comparative
Research
Example: The Relationship between Years of Experience and
Job Satisfaction
Causal Comparative Design (cont.)
Design and Procedure
• Select two groups that differ on some independent variable
• One group possesses some characteristic that the other does not
• Each group possesses the characteristic but in differing amount
• The independent variable must be clearly operationally defined
* Randomly sample subjects from each of the two groups
• Collect background information on subjects to determine the equality of
the groups
• Compare groups on the dependent variable
10. Causal Comparative
Research
Example: The Relationship between Years of Experience and
Job Satisfaction
Causal Comparative Design (cont.)
Design and Procedure
Control of Extraneous variable
• What other variable besides years of experience could explain job
satisfaction among teachers?
• Matching: Each subject in the high experience group is matched with a
subject with a low experience group along the variable of class size.
• Each high experience teacher who teachers a large class is matched
with a low experience teacher who teaches a large class.
• Each high experience teacher who teaches a small class is matched
with a low experience teacher who teaches a small class.
11. Causal Comparative
Research
Example: The Relationship between Years of Experience and
Job Satisfaction
Causal Comparative Design (cont.)
Data Analysis
• Mean- job satisfaction ratings for High Experience and Low Experience
subjects are compared using t-test, ANOVA or other appropriate
statistical test.
• Rejection of the null hypothesis supports the alternative hypothesis that
years of experience result in increased job satisfaction.
12. Causal Comparative
Research
Finding:
People with
lung cancer
Example: smoke more
Conclusion: Caution: A
than people
What without lung Smoking is third
causes cancer. There a possible factor?
are no other cause of
lung differences in
Proper
lung cancer.
cancer? lifestyle matching?
characteristics
between the
groups.
13. Causal Comparative
Research
More Examples of Causal
Comparative Research
• A researcher measured the mathematical
reasoning ability of young children who
had enrolled in Montessori schools and
compared the scores with a group of
similar children who had not been to
Montessori schools.
• A researcher measured the frequency of
students’ misbehavior at schools which
use corporal punishment and compared
that to schools which did not use corporal
punishment.