Designing study tools

Designing study tools

Data collection means the method of collecting data from the research sample through using practical data collection tools (study tools) and according to rules and principles. The importance of designing data collection tools (study tools) is as equal as any other part of the research. It is not an easy task to designing data collection tools (study tools), in addition to the arbitration of data collection tools (study tools), so the design and arbitration of data collection tools (study tools) cannot be done quickly, but need careful and patience in the selection of the best study tools and methods that best suited to the quality of study.

There is no doubt that the design of designing data collection tools (study tools) is a great work, and a real obstacle to academic researchers in the Arab world in particular; because of the limited possibilities available to researchers and scholars in postgraduate studies.

The new researcher in postgraduate studies of master's and doctoral students are doing all they can to reach the data collection tools (study tools) on which they study, and some resort to imitation when judging the data collection tools (study tools) of academic research.

The supervisors of studies and scientific research emphasize the verification and review of the researcher in both large and small data collection tools (study tools) because in the end is what enables the researcher to access the correct information and analysis needed to produce a good research. Most often, the new researcher fails to graduate when he embarks on designing data collection tools (study tools) and delays the implementation of the time plan.

 What are the data collection tools (study tools)? 

The definition of the design of data collection tools (study tools): is the collection and use of scientific data collection tools (study tools) and provide all the necessary tools and scientific means to help the researcher to produce and design a scientific research, and answer the questions of study and research problem to be resolved in the new scientific research.

The data collection tools (study tools) are the real assistant of the student in academic research and enable him to have effective ingredients to access the real information related to the problem of scientific research. The methods of preparing data collection tools (study tools) varied with the diversity of the scientific method followed by the academic researchers in their graduate studies.

 How data collection tools (study tools) are designed? 

• Researchers should follow the scientific methods and constant access to the experiences of former researchers in the field of study. This method helps researchers to achieve, provide and design data collection tools (study tools), if the researcher strives to know the most data collection tools (study tools) used in the scientific field in which he searches and prepare his thesis.
• Seek the help of the supervisors to use data collection tools (study tools) to collect information and data analysis and use in answering the questions of the study.

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 What do you know about the types of data collection tools (study tools)? 

Data collection tools (study tools) used by the researcher in collecting scientific information and data in order to answer the questions in the study.

What is a questionnaire?

The questionnaire is a method of work and methodology used by the researchers to reach the views of a specific group of the public on the subject of a particular phenomenon or about the questions; he asks to answer in the research pages of his scientific research. The researcher uses a specific model of different questionnaires, which he thinks is appropriate for the subject of the thesis.

Questionnaire forms vary from a closed questionnaire to a yes or no, or multiple choice. An open model is through questions that measure intelligence and the ability to express opinions about a particular phenomenon.

Test from within the data collection tools (study tools).

The test is to ask questions, and put the data under test to verify the quality, relevance and ability to answer the correct questions posed by the researcher in his academic study. This is the main and correct function when embarking on the provision of research tools”, which the researcher should concentrate his efforts to access to sound information and analysis.

What is the scale and what function between the data collection tools (study tools)?

The graduate researcher should identify the basic data collection tools (study tools); to serve him in answering research questions and provide solutions to the subject of study.

 Reliability VS stability 

The concept of reliability

Scientific research is intended to enable the tools used in the collection of information to measure the purpose to be measured, and to judge the reliability of scientific research or not, it requires the researcher to meet the conditions and criteria governing the reliability of scientific research and at the very least to prove the reliability of the arbitrators. Given that, the arbitrator is a specialist in his field so that he can judge the instrument of scientific research and that it measured the target used to measure it.

Researchers should consider the reliability of their study tool in order to ensure that the collected data meets the requirements. Reliability is one measure of the quality of the study tool, however, researchers should use measures other than reliability to judge the quality of the study tool. There are also different measures beside reliability, which include stability.

The concept of stability

Stability means accuracy, determination, and clarity in measurement. Instead, the coefficient of stability means that if the scientific research tool is reused or repeated in the same circumstances as it was previously used, it gives consistent results for scientific research. It is classified as a correlation coefficient, and is concerned with the relevance of repeated measurement results. Here are a set of properties for the coefficient of stability:

• Stability coefficient is the actual scores observed for the search tool divided scores observed while using the tool.
• The value of the constancy coefficient is between 0 and 1.

There is an inverse relationship between the level of the coefficient of stability and the potential errors of the instrument, which means that when the stability coefficient increases, the probability of errors decreases.

 Watch: Types of Research Tools: Super Easy Explanation 

With greetings: Al - Manara Consulting to help researchers and graduate students