The document presents a series of questions that involve dividing the white space in four labeled squares (A, B, C, D) into equal pieces. The questions start simply by dividing square A into two pieces, then square B into three pieces, and get progressively more difficult by asking to divide square C into four pieces and square D into seven pieces. The document encourages readers not to overcomplicate problems and solutions, as the mind often conditions us to assume complexity when simplicity may be the answer.
life learning concepts,
In our day to day, work & personal life we solve problems either complex one or simple one. Herewith you one exercise of Life is Puzzle.
life learning concepts,
In our day to day, work & personal life we solve problems either complex one or simple one. Herewith you one exercise of Life is Puzzle.
This is an interesting application of Path Analysis leveraging Richard Florida's findings regarding real estate valuations in different cities. This example serves as an introduction to Path Analysis.
What is path analysis?
What are general assumptions?
What is input path diagram?
What is output path diagram?
How unexplained variance is shown in path diagram?
Research with Partial Least Square (PLS) based Structural Equation Modelling ...Tuhin AI Advisory
A STRUCTURAL MODELING APPROACH TO COMPREHEND PURCHASE INTENTION INFLUENCED BY SOCIAL MEDIA : THE MEDIATING ROLE OF CONSUMER ATTITUDE AND THE MODERATING ROLE OF MARKET MAVENS
Critical Path Analysis is an important topic for PMP exam. It is of great help for Project Managers in managing projects in real time. Since in PMP exam, questions on Critical Path Analysis will be based on understanding of the concepts so such questions can be answered with certainty unlike situational questions which can be tricky to answer sometimes. So understanding Critical Path Analysis concepts would of great help in PMP exam.
These are some slides I use in my Multivariate Statistics course to teach psychology graduate student the basics of structural equation modeling using the lavaan package in R. Topics are at an introductory level, for someone without prior experience with the topic.
Introduction to Structural Equation Modeling Partial Least Sqaures (SEM-PLS)Ali Asgari
Partial least squares structural equation modelling (PLS-SEM) has recently received considerable attention in a variety of disciplines.The goal of PLS-SEM is the explanation of variances (prediction-oriented approach of the methodology) rather than explaining covariances (theory testing via covariance-based SEM).
life learning concepts,
In our day to day, work & personal life we solve problems either complex one or simple one. Herewith you one exercise of Life is Puzzle.
This is an interesting application of Path Analysis leveraging Richard Florida's findings regarding real estate valuations in different cities. This example serves as an introduction to Path Analysis.
What is path analysis?
What are general assumptions?
What is input path diagram?
What is output path diagram?
How unexplained variance is shown in path diagram?
Research with Partial Least Square (PLS) based Structural Equation Modelling ...Tuhin AI Advisory
A STRUCTURAL MODELING APPROACH TO COMPREHEND PURCHASE INTENTION INFLUENCED BY SOCIAL MEDIA : THE MEDIATING ROLE OF CONSUMER ATTITUDE AND THE MODERATING ROLE OF MARKET MAVENS
Critical Path Analysis is an important topic for PMP exam. It is of great help for Project Managers in managing projects in real time. Since in PMP exam, questions on Critical Path Analysis will be based on understanding of the concepts so such questions can be answered with certainty unlike situational questions which can be tricky to answer sometimes. So understanding Critical Path Analysis concepts would of great help in PMP exam.
These are some slides I use in my Multivariate Statistics course to teach psychology graduate student the basics of structural equation modeling using the lavaan package in R. Topics are at an introductory level, for someone without prior experience with the topic.
Introduction to Structural Equation Modeling Partial Least Sqaures (SEM-PLS)Ali Asgari
Partial least squares structural equation modelling (PLS-SEM) has recently received considerable attention in a variety of disciplines.The goal of PLS-SEM is the explanation of variances (prediction-oriented approach of the methodology) rather than explaining covariances (theory testing via covariance-based SEM).
life learning concepts,
In our day to day, work & personal life we solve problems either complex one or simple one. Herewith you one exercise of Life is Puzzle.
Vast amounts of survey data are collected for many purposes, including governmental information, public opinion and election surveys, advertising and market research as well as scientific research
Survey data underlie many public policy and business decisions
Good quality data reduces the risk of poor policies and decisions and is of crucial importance
StatJR is a software system that can interoperate with other statistical software.
For example there is a StatJR template to fit a regression in many packages including SPSS.
SPSS is often used for training in the social sciences.
We have extended StatJR’s functionality so that it can automatically create ‘bespoke’ SPSS training materials.
A statistical software package written in Python and first released in 2013.
Named after our former colleague Jon Rasbash and pronounced “Stature”.
Stat-JR is meant to appeal to novice users, expert users and other algorithm developers
It has its own MCMC estimation engine built into the software but also allows interoperability with other software packages (this talk).
Has several interfaces including an electronic book interface including “statistical analysis assistant” features (talk 2).
Can also be used to create “bespoke” training materials in combination with the SPSS software package (talk 3).
Random coefficient models
Allowing individual-level relationships to vary across groups
Linking individual and group level explanations – cross level interactions
Two level random intercept models
Comparing groups – the variance components model
Quantifying group differences – the variance partition coefficient
Adding predictors at the individual and group level – the random intercept model
Think aloud
Probing
Observation
Response latency
Vignettes/ card sorts
Explain format of the interview
Interviewer will ask a survey question/ ask respondent to attempt to fill in a questionnaire
Respondent is asked to verbalise thought processes
Practice thinking aloud
Interviewer demonstrates
Respondent has a go
Comprehension of question
Retrieval from memory of relevant information
Judgement and estimation process
Response process; mapping answer to response options
2. 4 Square Questions Look at the diagram carefully. Now, I will ask you FOUR questions about this square. Are you ready? B A D C
3. 4 Square Questions Q 1 Q 1 Divide the white area in square A into two equal pieces. Easy! Isn't it? B A D C
4. 4 Square Questions Q 1 Q 1 Divide the white area in square A into two equal pieces. Here is the answer! B A D C
5. 4 Square Questions Q 2 Q 2 Divide the white area in square B into three equal pieces. Not so difficult! B A D C
6. 4 Square Questions Q 2 Q 2 Divide the white area in square B into three equal pieces. Here is the answer! B A D C
7. 4 Square Questions Q 3 Q 3 Divide the white area in square C into four equal pieces. Very difficult? That's right! B A D C
8. 4 Square Questions Q 3 Q 3 Divide the white area in square C into four equal pieces. Here's the answer! B A D C
9. 4 Square Questions Be ready! Here comes the last question! B A D C
10. 4 Square Questions Q 4 Q 4 Divide the white area in square D into seven equal pieces. World Record is SEVEN seconds! B A D C
11. 4 Square Questions Q 4 Q 4 B A D C Divide the white area in square D into seven equal pieces. Any ideas?
12. 4 Square Questions Q 4 Q 4 B A D C Divide the white area in square D into seven equal pieces. Are you still puzzled?
13. 4 Square Questions Q 4 Q 4 B A D C Divide the white area in square D into seven equal pieces. Here’s the answer!
14. 4 Square Questions Q 4 Q 4 B A D C Divide the white area in square D into seven equal pieces. Was it really that tough?
15. 4 Square Questions Q 4 Q 4 B A D C Divide the white area in square D into seven equal pieces. If you didn't get the answer, it was just that your mind was conditioned to seek a complex solution!
16.
17. BE SIMPLE IN LIFE ! THE GREATNESS OF THIS MAN WAS HIS SIMPLICITY!