Lecture 2: Latent/Manifest/Observed Variables using in SEM Analysis (www.stat...Stats Statswork
Statswork (Statswork.com), Lecture:2 – Basic concepts of Latent, Manifest and Observed Variables using in SEM analysis.
SEM consists of two parts:
1. Measurement model(s) for each latent variable
2.2. Path analysis between the latent and observed variables.
Latent Variables:
These phenomena are termed as latent variables, or common factors.
Examples of latent variables:
·Psychology: Self concept and Motivation.
·Education:Verbal ability& Teacher Expectancy.
Manifest and Observed Variables:
The unobserved variable is linked to one that is observable, thereby measurement is possible.
Examples:
·Self-report to an attitudinal scale.
·Scores on achievement test.
Watch more.
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Research Variables are the variables affecting one's research study. They are the Independent Variable, Dependent Variable, Constant/Controlled Variable, Extraneous Variables and Intervening Variables.
Lecture 2: Latent/Manifest/Observed Variables using in SEM Analysis (www.stat...Stats Statswork
Statswork (Statswork.com), Lecture:2 – Basic concepts of Latent, Manifest and Observed Variables using in SEM analysis.
SEM consists of two parts:
1. Measurement model(s) for each latent variable
2.2. Path analysis between the latent and observed variables.
Latent Variables:
These phenomena are termed as latent variables, or common factors.
Examples of latent variables:
·Psychology: Self concept and Motivation.
·Education:Verbal ability& Teacher Expectancy.
Manifest and Observed Variables:
The unobserved variable is linked to one that is observable, thereby measurement is possible.
Examples:
·Self-report to an attitudinal scale.
·Scores on achievement test.
Watch more.
Contact Us:
UK NO:+44-1143520021
India No: +91-8754446690
US NO:+1-972-502-9262
Email: info@statswork.com
Website: http://www.statswork.com/
Landline: +91-44-42124284
Research Variables are the variables affecting one's research study. They are the Independent Variable, Dependent Variable, Constant/Controlled Variable, Extraneous Variables and Intervening Variables.
This presentation is an introduction and all about the Positivist and Post-positivist perspective in Educational Research and how these perspectives link to Quantitative Research. Determining a personal research perspective is an important move before deciding on writing the first chapters of a study.
Narrative research for slideshare upload.pptxNeha Deo
In this presentation, the narrative method of the qualitative approach is explained. In the qualitative approach of educational research, narrative research is an important method. How to conduct narrative research, is explained herein. The narrative researcher tells the story of the participants.
this presentation defines basics of regression analysis for students and scholars. uses, objectives, types of regression, use of spss for regression and various tools available in the market to calculate regression analysis
Parametric vs Nonparametric Tests: When to use whichGönenç Dalgıç
There are several statistical tests which can be categorized as parametric and nonparametric. This presentation will help the readers to identify which type of tests can be appropriate regarding particular data features.
Exploring the impact and evolution of Advanced Analytics Tools.pdfStats Statswork
The impact and evolution of advanced analytics tools have transformed how businesses operate, offering unprecedented insights and decision-making capabilities. Statstwork has been at the forefront of this evolution, providing cutting-edge solutions that leverage big data, machine learning, and AI. These tools enable companies to analyze vast amounts of data in real-time, identify trends, and predict future outcomes with high accuracy. As a result, businesses can optimize their operations, enhance customer experiences, and drive innovation. The continuous advancement of these tools promises even greater efficiencies and opportunities, making them indispensable in the modern data-driven landscape.
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Exploring the impact and evolution of Advanced Analytics Tools.pdfStats Statswork
The impact and evolution of advanced analytics tools have transformed how businesses operate, offering unprecedented insights and decision-making capabilities. Statstwork has been at the forefront of this evolution, providing cutting-edge solutions that leverage big data, machine learning, and AI. These tools enable companies to analyze vast amounts of data in real-time, identify trends, and predict future outcomes with high accuracy. As a result, businesses can optimize their operations, enhance customer experiences, and drive innovation. The continuous advancement of these tools promises even greater efficiencies and opportunities, making them indispensable in the modern data-driven landscape.
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This presentation is an introduction and all about the Positivist and Post-positivist perspective in Educational Research and how these perspectives link to Quantitative Research. Determining a personal research perspective is an important move before deciding on writing the first chapters of a study.
Narrative research for slideshare upload.pptxNeha Deo
In this presentation, the narrative method of the qualitative approach is explained. In the qualitative approach of educational research, narrative research is an important method. How to conduct narrative research, is explained herein. The narrative researcher tells the story of the participants.
this presentation defines basics of regression analysis for students and scholars. uses, objectives, types of regression, use of spss for regression and various tools available in the market to calculate regression analysis
Parametric vs Nonparametric Tests: When to use whichGönenç Dalgıç
There are several statistical tests which can be categorized as parametric and nonparametric. This presentation will help the readers to identify which type of tests can be appropriate regarding particular data features.
Exploring the impact and evolution of Advanced Analytics Tools.pdfStats Statswork
The impact and evolution of advanced analytics tools have transformed how businesses operate, offering unprecedented insights and decision-making capabilities. Statstwork has been at the forefront of this evolution, providing cutting-edge solutions that leverage big data, machine learning, and AI. These tools enable companies to analyze vast amounts of data in real-time, identify trends, and predict future outcomes with high accuracy. As a result, businesses can optimize their operations, enhance customer experiences, and drive innovation. The continuous advancement of these tools promises even greater efficiencies and opportunities, making them indispensable in the modern data-driven landscape.
For more information contact:
https://www.statswork.com
& https://www.statswork.com/contact-us/
Contact our Experts:
Our Email id: info@statswork.com
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Exploring the impact and evolution of Advanced Analytics Tools.pdfStats Statswork
The impact and evolution of advanced analytics tools have transformed how businesses operate, offering unprecedented insights and decision-making capabilities. Statstwork has been at the forefront of this evolution, providing cutting-edge solutions that leverage big data, machine learning, and AI. These tools enable companies to analyze vast amounts of data in real-time, identify trends, and predict future outcomes with high accuracy. As a result, businesses can optimize their operations, enhance customer experiences, and drive innovation. The continuous advancement of these tools promises even greater efficiencies and opportunities, making them indispensable in the modern data-driven landscape.
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Our cutting-edge predictive analytics models and algorithms transform raw data into actionable insights, empowering businesses to stay ahead of the curve.Trust StatsWork to optimize operations, minimize risks, and drive growth through predictive analytics. Experience the transformative impact of our solutions and propel your business towards success today.
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Empowering Business Growth with Predictive Analytic - StatsworkStats Statswork
Our cutting-edge predictive analytics models and algorithms transform raw data into actionable insights, empowering businesses to stay ahead of the curve.Trust StatsWork to optimize operations, minimize risks, and drive growth through predictive analytics. Experience the transformative impact of our solutions and propel your business towards success today.
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How to establish and evaluate clinical prediction models - StatsworkStats Statswork
A clinical prediction model can be used in various clinical contexts, including screening for asymptomatic illness, forecasting future events such as disease, and assisting doctors in their decision-making and health education. Despite the positive effects of clinical prediction models on practice, prediction modelling is a difficult process that necessitates meticulous statistical analysis and sound clinical judgments. Statswork offers statistical services as per the requirements of the customers. When you Order statistical Services at Statswork, we promise you the following always on Time, outstanding customer support, and High-quality Subject Matter Experts.
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How to establish and evaluate clinical prediction models - StatsworkStats Statswork
A clinical prediction model can be used in various clinical contexts, including screening for asymptomatic illness, forecasting future events such as disease, and assisting doctors in their decision-making and health education. Despite the positive effects of clinical prediction models on practice, prediction modeling is a difficult process that necessitates meticulous statistical analysis and sound clinical judgments. Statswork offers statistical services as per the requirements of the customers. When you Order statistical Services at Statswork, we promise you the following always on Time, outstanding customer support, and High-quality Subject Matter Experts.
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7 excellent reasons why statistics are important statsworkStats Statswork
Statistics are used to analyze what's happening within the world around us. In this data-driven world, all activities of ours are monitored by someone else every time. Statistics help us to convert whatever occurs in the past can be used in predicting the future. Statswork Is A Premier Statistics Consulting Company That Spearheaded Online Statistics Consultancy Service With Clientele Ranging From Educational Institutions, Academics, Corporations And Ngos. We Provide End-To-End Service And Assistance For Your Statistical Research And Analytical Needs From Data Collection, Data Mining, Data Analysis To Research Framework And Research Methodology.
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Research design decisions and be competent in the process of reliable data co...Stats Statswork
Research Design may be described as the researchers scheme of outlining the flow of his project. It is based on research design, that the researcher goes about gathering data to answer his research question. It enables the researcher to prioritize his work, create better questionnaires and arrive at conclusions with greater clarity. Statswork offers statistical services as per the requirements of the customers. When you Order statistical Services at Statswork, we promise you the following – Always on Time, outstanding customer support, and High-quality Subject Matter Experts.
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Panel data analysis a survey on model based clustering of time series - stats...Stats Statswork
The Clustering technique in Statistical Analysis is used to determine the subsets as clusters in the data using the specified distance measure. However, this technique cannot be applied easily for longitudinal or time-series data. In this blog, I will discuss some of the methods used for modeling longitudinal or panel data using the Clustering Analysis technique as explained in Schmatter (2011). Statswork offers statistical services as per the requirements of the customers. When you Order statistical Services at Statswork, we promise you the following – Always on Time, outstanding customer support, and High-quality Subject Matter Experts.
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Application of time series analysis in financial economicsStats Statswork
Time series analysis is widely applied to forecast the pattern/trends in the financial and market data. The main objective of a time series analysis is to develop a suitable model to describe the pattern or trend in data with more accuracy. Statswork offers statistical services as per the requirements of the customers. When you Order statistical Services at Statswork, we promise you the following – Always on Time, outstanding customer support, and High-quality Subject Matter Experts.
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The present article helps the USA, the UK and the Australian students pursuing their business and marketing postgraduate degree to identify right topic in the area of marketing in business. These topics are researched in-depth at the University of Columbia, brandies, Coventry, Idaho, and many more. Stats work offers UK Dissertation stats work Topics Services in business. When you Order stats work Dissertation Services at Tutors India, we promise you the following – Plagiarism free, Always on Time, outstanding customer support, written to Standard, Unlimited Revisions support and High-quality Subject Matter Experts.
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CHOOSING A QUALITATIVE DATA ANALYSIS (QDA) PLAN
Data Analysis should change what you do, not just how you do it. - Matin Movassate
If you are to choose the right data analysis plan for your study, it is first pertinent to collect qualitative data. Since Qualitative analysis is more about the meaning of the analysis, it is too confusing with unstructured and huge data. For conducting Data Analysis for any research, it is also important to have the right methodology. If the data and methods of data analysis plan are right, it will have numerous benefits, including taking the right decisions.
But before that, there are certain fundamental details to know before choosing the right data analysis plan, which includes:
What is a qualitative data analysis?
QDA is based on interpretative policy to examine the symbolic and meaningful content of data. In other words, it is interpreting the qualitative data by many processes and procedures to transform them into great insights for taking dynamic decisions.
What is qualitative data?
Descriptive data that are non-numerical and capturing concepts and opinions, values and behaviors of people in a social context is called Qualitative data Collection. It is the data from observation of audio and video recordings and also reading the transcripts of interviews and copies of documents.
What purpose does the qualitative data analysis plan perform?
Unlike Quantitative data analysis, which is more of numbers and statistics, qualitative analysis is analysis of subjective and non-numerical qualitative data. Hence it performs many functions including:
• Organizing data
• Interpreting data
• Identifying patterns
• Forming the basis for informed and verifiable conclusions
• Ties research objectives to data
After knowing the above fundamentals of Qualitative data analysis, it is time to choose the right data analysis plan. The plans can be selected for specific research design and can also be applied for a variety of research designs.
Data plays an important role in any research or study conducted. It aids in bringing about a breakthrough in the respective field as well as for future researches. The collection of data is carried out in two forms viz: Qualitative Data and Quantitative Data which includes further bifurcation under it.
What is Qualitative Data?
Qualitative research can be defined as the method of research which focuses on gaining relevant information through observational, open-ended and communication method. They are more exploratory which concentrates on gaining insights about the situation and dig a bit deeper to find the underlying reason. The central idea behind using this method is to find the answer to Why and How rather than How many. Data gathered during a qualitative research is what is termed as qualitative data.
What is the purpose?
A qualitative data is non-numerical and more textual which comprises mostly of images, written texts, recorded audios and spoken words by people. Moreover, one can conduct qualitative research online as well as offline too. Apart from this, the varied purpose of qualitative research is as follows:
- To examine the purpose or reason for the situation
- Gain an understanding of the experience of people
- Understanding of relations and meaning
- Varied norms including social and political as well as contextual and cultural practice which impact the cause.
Data is a source of great information which can enable informed decision making for businesses. Data is divided into Quantitative Data and Qualitative Data. Qualitative data refers to those non-numerical, explanatory data. Herein, we will have a detailed look into the various methods of qualitative data analysis.
1. Text reference, Chapter 6
2. Special case of the general factorial design; k factors, all at two levels
3. The two levels are usually called low and high (they could be either quantitative or qualitative)
4. Very widely used in industrial experimentation
5. Form a basic “building block” for other very useful experimental designs (DNA)
6. Special (short-cut) methods for analysis
7. We will make use of Design-Expert
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Module 6: Outlier Detection for Two Sample CaseStats Statswork
Two sample plot, also known as youden’s plot, is a scatter plot with a confidence region. Youden used it for detecting labs with unusual testing results when two samples are tested in n different lab. Youden plot is a special case of the bivariate control chart, and the idea behind is the principal component analysis.
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SPSS Step-by-Step Tutorial and Statistical Guides by StatsworkStats Statswork
Statswork help to analyse your data, before our step-by-step SPSS Statistics guides show you how to carry out these statistical tests using SPSS Statistics, as well as interpret and analysis the document.
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Statistical Meta Analysis Sample Work - StatsworkStats Statswork
Statswork is a pioneer statistical consulting company providing full statistical assistance including academic, educational institutions and non-government organizations across the globe. We provide end-to-end solutions for all your analytical needs that include creating hypothetical framework to power point presentation. The objective is to provide prompt, reliable, and understandable information about data analysis to our clients.
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A Strategic Approach: GenAI in EducationPeter 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.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
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.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
4. Exogenous latent variables
Exogenous latent variables (or) Independent variables
✓ They cause fluctuations in the values of other latent variables
in the model.
✓ Changes in the values of exogenous variables are not
explained by the model.
Examples: External factors (Gender, Age and Socioeconomic
status) to the model.
4
5. Endogenous latent variables
Endogenous latent variables (or) Dependent variables
✓ Endogenous variables are influenced by the exogenous
variables in the model, either directly or indirectly.
✓ Fluctuation in the values of endogenous variables is said to be
explained by the model.
✓ All latent variables that influence them are included in the
model specification.
Examples: In a study to determine whether how long a student
sleeps affects test scores, the independent variable is length of
time spent sleeping while the dependent variable is the test
score.
5