ಮುಖಪುಟ/ಕಸಾಯಿಖಾನೆ/ಟ್ಯಾರಿಫ್ «ಸರ್ವೆ +»/ಟ್ಯಾರಿಫ್ «V.U.C.A ಸಮೀಕ್ಷೆಯಲ್ಲಿ ಡಿಸೈನರ್»

ಟ್ಯಾರಿಫ್ «V.U.C.A ಸಮೀಕ್ಷೆಯಲ್ಲಿ ಡಿಸೈನರ್»

What is V.U.C.A.?

V.U.C.A. is an acronym that defines the conditions that affect organizations in a changing and complex world. It was designed to help us factor in the forces of change and uncertainty in our projects and businesses. V.U.C.A. stands for volatility, uncertainty, complexity, and ambiguity.

Volatility refers to the rate of change and churn in a business or situation.
Uncertainty refers to the lack of predictability or high potential for surprise. In an uncertain environment, it would be difficult to create plans for the future that we're not based on a large number of assumptions that could turn out to be incorrect.
Complexity refers to the high number of interrelated forces, issues, organizations, and factors that would influence the life and business.
Ambiguity refers to the possibility of misunderstanding the conditions and root causes of events or circumstances.

How to apply V.U.C.A.?

It's a concept developed to deal with these forces in a changing and uncertain world. Businesses can apply the concept of V.U.C.A. as a tool for determining how best to approach business projects. Introducing certainty through SDTEST + correlation.

What is correlation?

Correlation is a term used in various fields of knowledge, including psychology, to denote the mutual correlation and correspondence of concepts and phenomena.

What is correlation dependence?

Correlation dependence is the changes that the values of one attribute contribute to the probability of different values of another attribute appearing.

What is a positive correlation?

It is when another accompanies an increase in one variable or when high values of one are associated with high values of another, and low values are associated with low values.

What does a positive correlation show?

The relationship between two variables can be as follows - when the values of one variable increase, the values of the other variable also increase. It is what a positive correlation coefficient shows.

What is a negative correlation?

It is when an increase in the other accompanies a decrease in one variable or when high values of one are associated with low values of the other, and low values are associated with high values.

What does a negative correlation show?

The relationship between two variables can be as follows - when the values of one variable decrease, the values of the other variable increase. It shows a negative correlation coefficient. Such variables are said to be negatively correlated.

What is correlation coefficient?

The correlation coefficient in mathematical statistics is an indicator characterizing the strength of the statistical relationship between two or more random variables.

Their common feature is that they reflect the relationship of two traits measured on a quantitative scale - rank or metric.

What is statistical significance?

Statistical significance is an assessment of whether an event is due to chance. If an outcome is statistically significant, it is unlikely to occur due to random events or fluctuations.

How does determine if a relationship is significant (credible)?

There is a threshold for determining statistical significance. The critical value of the correlation coefficient determines it. If the obtained value of the correlation coefficient is higher than the critical value, such correlation is considered to be statistically significant (reliable).

Critical Value of the Correlation Coefficient

The critical value of the correlation coefficient is a threshold value used to test the significance of a correlation. It indicates at what value of the correlation coefficient it can be concluded that the discovered relationship between variables is statistically significant and not due to chance. This value depends on the significance level (e.g., 0.05 or 0.01) and the number of observations.

Why is the symbol r used for the critical value?

The letter r is used to denote the critical value because this value refers directly to the correlation coefficient. The symbol r itself, in this context, continues to denote the correlation coefficient (either Pearson or Spearman), and the "critical value" simply means the threshold that must be reached or exceeded in order to consider the correlation statistically significant.

Continuity and Convenience

Using the same symbol for the correlation coefficient and its critical value helps to avoid confusion and simplifies working with tables of critical values. Usually, the critical value r is found using special tables for Pearson or Spearman, depending on the method and level of significance, which is directly related to the correlation coefficient.

Thus, the Latin letter r continues to serve to designate the correlation coefficient as a value, and the addition of the term "critical" indicates its threshold value in the context of hypothesis testing.

How to use the tariff?

1. Create a Personal Account (here, you will need a valid email) and buy the ➡️ ಟ್ಯಾರಿಫ್ «ಸರ್ವೆ +».

2. Next you need to buy the tariff «V.U.C.A ಸಮೀಕ್ಷೆಯಲ್ಲಿ ಡಿಸೈನರ್».

3. Go to «My tariffs» in the Menu and choose bookmark «ಸರ್ವೆ +».

4. Choose the button «V.U.C.A.» under the bookmark «ಸರ್ವೆ +».

5. Create a new poll.

6. Copy and share the link to the poll.

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SDTEST's reports of V.U.C.A. polls:

1) ಕಳೆದ ತಿಂಗಳಲ್ಲಿ ಸಿಬ್ಬಂದಿಗೆ ಸಂಬಂಧಿಸಿದಂತೆ ಕಂಪನಿಗಳ ಕ್ರಮಗಳು (ಹೌದು / ಇಲ್ಲ)

2) ಕಳೆದ ತಿಂಗಳು ಸಿಬ್ಬಂದಿಗೆ ಸಂಬಂಧಿಸಿದಂತೆ ಕಂಪೆನಿಗಳ ಕ್ರಿಯೆಗಳು (ವಾಸ್ತವವಾಗಿ%)

3) ಭಯ

4) ನನ್ನ ದೇಶ ಎದುರಿಸುತ್ತಿರುವ ದೊಡ್ಡ ಸಮಸ್ಯೆಗಳು

5) ಯಶಸ್ವಿ ತಂಡಗಳನ್ನು ನಿರ್ಮಿಸುವಾಗ ಉತ್ತಮ ನಾಯಕರು ಯಾವ ಗುಣಗಳು ಮತ್ತು ಸಾಮರ್ಥ್ಯಗಳನ್ನು ಬಳಸುತ್ತಾರೆ?

6) ಗೂಗಲ್. ತಂಡದ ಪರಿಣಾಮಕಾರಿತ್ವದ ಮೇಲೆ ಪರಿಣಾಮ ಬೀರುವ ಅಂಶಗಳು

7) ಉದ್ಯೋಗಾಕಾಂಕ್ಷಿಗಳ ಮುಖ್ಯ ಆದ್ಯತೆಗಳು

8) ಬಾಸ್ ಅನ್ನು ಮಹಾನ್ ನಾಯಕನನ್ನಾಗಿ ಮಾಡುವುದು ಯಾವುದು?

9) ಜನರು ಕೆಲಸದಲ್ಲಿ ಯಶಸ್ವಿಯಾಗಲು ಕಾರಣವೇನು?

10) ದೂರದಿಂದಲೇ ಕೆಲಸ ಮಾಡಲು ಕಡಿಮೆ ವೇತನವನ್ನು ಸ್ವೀಕರಿಸಲು ನೀವು ಸಿದ್ಧರಿದ್ದೀರಾ?

11) ವಯಸ್ಸು ಅಸ್ತಿತ್ವದಲ್ಲಿದೆಯೇ?