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Experimental Design
A collection of articles on the Definition and Basic Concepts of Experimental Design, Assumptions of Analysis of Variance, Comparison of Means, and several types of Experimental Designs that are often used: Completely Randomized Design, Randomized Block Design, Latin Square Design (RBSL) Factorial Experiment, Split- Plot, Split Split Plot Design, Strip Plot Design
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- Written by Ade Setiawan
- Category: Fundamentals of Experimental Design
DATA
Data is raw material that needs to be processed to produce both qualitative and quantitative information that shows facts or phenomena.
Before the data is processed, it is necessary to first test the validity and reliability, both in terms of theoretical, content and empirical constructs.
DATA FUNCTION
To provide information about the characteristics or behavior of a phenomenon (population) that we are studying, both discrete and continuous, so that we can get an idea or can draw conclusions and make decisions based on data that has been collected and processed.
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- Written by Ade Setiawan
- Category: Completely Randomized Design (CRD)
This article is a continuation of Completely Randomized Design Material . The following is an example of a Completely Randomized Design case with Equal Replication.
In this case example, the same case example is used again with the example in total variance decomposition. It's just that, using a slightly different calculation step. The following are the results of estrogen testing of several solutions that have undergone certain treatments. Uterine weight of rats was used as a measure of estrogen activity. Uterine weights in milligrams of four mice for each control and six different solutions are listed in the following table.
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- Written by Ade Setiawan
- Category: Fundamentals of Experimental Design
Relationship between Scientific Method and Experimental Method
The Scientific Method is a systematic approach aimed at understanding the universe based on observation and logic. This approach generates knowledge through verified and tested empirical evidence.
The Experimental Method is an integral component of the scientific method that involves the collection of empirical data through direct testing. It is one of various methods used in the scientific process to validate hypotheses and generate new knowledge. Through the experimental method, theories derived from the scientific method can be tested and strengthened or, if necessary, refuted and corrected. Thus, the experimental method plays a crucial role in the formation and refinement of scientific knowledge.
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- Written by Ade Setiawan
- Category: Multiple Comparisons
Description on the average comparison sub topic:
- Hypothesis Test
- Error Type
- Level of significant
- Analysis of variance (Anova)
- Average comparison
- The number of possible combinations of pairs
- Problems in Multiple Comparison
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- Written by Ade Setiawan
- Category: Completely Randomized Design (CRD)
Completely randomized design is the simplest type of experimental design . The reasons behind the use of a completely randomized design are as follows:
- The experimental unit used is homogeneous or there are no other factors that affect the response outside of the factors being tried or studied.
- External factors that can affect the experiment can be controlled. For example, an experiment conducted in a laboratory.
Because of the things mentioned above, completely randomized designs are usually found in laboratories or greenhouses.
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- Details
- Written by Ade Setiawan
- Category: Multiple Comparisons
The LSD test is the simplest and most commonly used procedure for testing the difference between the treatment averages. This method was introduced by Fisher (1935), so it is also known as the Fisher's LSD method [Least Significant Difference]. To use the BNT test, the attributes we need are the mean square of error (KTG), significance level, degrees of freedom (db) of error, and a student t-table to determine the critical value of the comparison test.
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More Articles ...
- Tukey HSD - Post Hoc Test
- Duncan Multiple Range - Post Hoc Test
- Student-Newman-Keuls - Post Hoc Test
- Dunnet - Post Hoc Test
- Scheffe - Post Hoc Test
- Orthogonal Contrasts - Planned Comparisons
- Randomized Complete Block Design (RCBD)
- ANOVA Assumptions
- Latin Square Design (LSD)
- Completely Randomized Design (CRD) Factorial
- Example of CRD Factorial
- RCBD Factorial
- Example of RCBD Factorial
- Factorial RCBD (3 Factors)
- Split Plot Design
- Example of a Split Plot Design
- Strip Plot Design
- Example of Split Block Design (Strip Plot)
- Split-Split Plot Design
- Example of Split-Split Plot Design
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