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7. Questions for Chapter Z 1. Define the Term Research Problem and Identify Three Characteristics of Good Research Problems. 2.

Вопрос

7. Questions for Chapter Z 1. Define the term research problem and identify three characteristics of good research problems. 2. Differentiate research problems from research problem stetements and/or questions. 3. Identify four common sources of research problems. 4. Describe the characteristics of quantitative research problems. 5. State the criteria for evaluating quantitative research problems and evaluate specific problems using these criteria. 6. Differentiate the following types of hypotheses: 1)inductive and deductive and 2) research and statistical. Define the term null hypothesis and discuss its use in a study Identify examples of each type of hypothesis. 7. Describe the characteristics of a qualitative research problem.

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Ответ

1. Research problem: A research problem is a question or issue that a researcher seeks to investigate through a systematic and empirical study. Characteristics of good research problems include clarity, relevance, and significance.2. Research problems differ from research problem statements/questions in that the former is a broad question or issue that needs to be addressed, while the latter is a specific statement or question that guides the research study.3. Common sources of research problems include gaps in existing literature, emerging trends or issues, and personal interests or experiences.4. Quantitative research problems are characterized by their focus on measurable variables and the use of statistical methods to analyze data.5. Criteria for evaluating quantitative research problems include clarity, feasibility, relevance, and significance. Specific problems can be evaluated using these criteria to determine their suitability for research.6. Inductive hypotheses are derived from observed patterns or trends and used to make generalizations, while deductive hypotheses are based on existing theories or principles and used to test specific predictions. Research hypotheses are broad statements about the relationship between variables, while statistical hypotheses are specific statements about population parameters.7. Null hypothesis: A null hypothesis is a statement of no effect or no difference, used as a basis for statistical testing. It is used in a study to determine if there is a significant relationship between variables. Examples of each type of hypothesis include: inductive - "Exercise improves mental health," deductive - "Students who study regularly will perform better on exams," research - "There is a relationship between social media use and depression," and statistical - "The mean score of the control group is equal to the mean score of the experimental group."