Mixed model
Decomposition of time series
Time series
Additive model
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Descriptive comparative refers to a research approach that involves describing and comparing different aspects or characteristics of a particular subject or phenomenon. It aims to analyze and understand the similarities and differences between these aspects in order to gain insights and draw conclusions. Descriptive comparative studies can be conducted in various fields, such as advertising and communication , public policy research , time series analysis , educational research , and sports science . This approach often involves analyzing data from different sources, using qualitative or quantitative methods, and examining the contextual factors that influence the subject being studied. By comparing different cases or variables, descriptive comparative research provides valuable information for understanding trends, making improvements, and informing decision-making processes.
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What is descriptive comparative research design?4 answersDescriptive comparative research design involves comparing and contrasting different phenomena to understand their similarities and differences. This methodological approach focuses on describing the characteristics of the subjects being studied without manipulating variables, aiming to provide insights into how policies or products are structured and how they evolve over time. It is particularly useful in analyzing public policies, graphic advertisem*nts, or healthcare interventions to identify patterns, trends, and changes in various contexts. Descriptive comparative studies do not involve experimental manipulation but rather focus on observing and documenting existing conditions or practices to inform decision-making and recommendations for further research or policy development.What is Descriptive comparative design?4 answersDescriptive comparative design is a research approach that involves comparing the experiences and behaviors of designers across different domains and disciplines. This approach aims to develop a rich understanding of recurring behaviors in design, even though they may not apply to every design process. It differs from traditional design research, which often focuses on specific industries or companies, by comparing experiences reported outside of their normal professional context. The objective of descriptive comparative design is to make comparisons across design disciplines and establish a theoretical basis for understanding design in a broader sense. This approach complements research on specific design practices and contributes to the development of design theory.What is the definition of a quantitative descriptive-comparative study?5 answersA quantitative descriptive-comparative study is a research method that involves analyzing numerical data to describe and compare different phenomena or conditions. It focuses on measuring or counting attributes to answer questions about a situation or event. This type of study is systematic and involves transforming collected or observed information. It aims to provide a better understanding of prevailing conditions, practices, beliefs, processes, relationships, or trends. The method includes proper analysis, interpretation, comparison, identification of trends and relationships, and generalization and prediction. It can be used to study various topics and is particularly valuable for public policy research, as it allows for the analysis of different policy designs and the improvement of existing practices.What is a descriptive research?5 answersDescriptive research is a type of scientific research that aims to provide a clear picture and description of a phenomenon or situation. It focuses on describing the nature and characteristics of the subject being studied, rather than explaining why or how something happens. Descriptive research often involves collecting data from naturalistic settings without intervention or manipulation of variables. The data can be collected qualitatively or quantitatively, depending on the research goals. In qualitative descriptive research, a rich collection of data is gathered from various sources to gain a deeper understanding of individual participants, including their opinions, perspectives, and attitudes. On the other hand, quantitative descriptive research analyzes data using statistical techniques to determine relationships and patterns. Descriptive research is commonly used in various disciplines, including education, psychology, and social sciences.What is descriptive?5 answersDescriptive statistics are used to summarize and explore characteristics of data. They provide a concise summary of the dataset, including measures of central tendency, dispersion, and the shape of the data distribution. Descriptive statistics can be used for both categorical and numerical data, and they help in interpreting and analyzing the data. For numerical data, measures like mean, median, and standard deviation are used to describe central tendency and dispersion. For categorical data, relative numbers are commonly used for statistical description. Descriptive statistics are important in various fields, including education. They provide a way to organize and summarize data in a meaningful and intuitive manner, allowing researchers to gain insights and make informed decisions based on the data.What is the advantages of descriptive analysis?2 answersDescriptive analysis has several advantages. Firstly, it allows for the direct observation of behavior in natural contexts, providing baseline rates of problem behavior and aiding in the development of operational definitions. Secondly, it helps in identifying antecedents and consequences to incorporate into functional analyses, enabling a comprehensive assessment of problem behavior. Thirdly, descriptive analysis can be used when functional analyses are not possible due to the nature of the target behavior. Additionally, it provides a means to gather factual information about research and events, which can be used to relate an organization's environment to its activities. Descriptive analysis also helps in transforming data into useful knowledge and understanding the environment with scientifically tested models. Overall, descriptive analysis is a valuable tool for gathering information, establishing baselines, and identifying patterns and relationships in data..
