How vital are validity and reliability in the conduct of research
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Q: p) Evaluate the relative merits of qualitative and quantitative data in the contexts of a variety of…
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Q: Identify and explain the significance of the three basic principles of experimental design.
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Q: Define the term estimator? explain unbiased, consistent and efficient estimators?
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Q: You use “number of hours spent relaxing” as the dependent variable in a study. Choose two possible…
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Q: What is determining the worth of data? Evaluation Validity Results
A: What is determining the worth of data? Evaluation Validity Results
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A: Social scientists often perform qualitative research.
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Q: 4) What is the difference between a discrete quantitative variable and a continuous quantitative…
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Q: give a comprehensive comparison and contrasting about experimental and non experimental research
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Q: Which one of Cook and Campbell's (1979) four big validities best addresses whether a study used…
A: According to cook and Campbell's four big validities best addresses whether a study used appropriate…
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- Understanding the Concepts and Skills Define the following terms: a. Observational study b. Designed experiment40) What is the answer to this?Take some time to review the detail contained within the visualisation in the picture below and the conclusions it indicates. Would like you to begin to share some of your initial thoughts on the subject of data analysis. Please consider the questions below, and provide short answers: How effective is the presentation of the visual data for Books Made into Movies? Are there any surprises in the analysis? In what ways do you think the visual presentation is weak?
- When can you use the Chebyshev criterion, and when you cannot? If the Cebyshev criterion cannot be used how do you determine that your model is a good fit to the data set?identify the independent variable, the dependant variable, and the unit of analysis for the following statement Stanczyk, A.B. (2019) Does paid family leave improve household economic security after birth? Evidence from California. Social Service Review, 93(2): 260-304. Independent variable(s)______________________________________________________ Dependent variable(s)_______________________________________________________ Unit of analysis )_______________________________________________________What do the terms reliability and validity mean in terms of research? How will you reduce error in your survey and ensure the tool you use provides reliable and valid data?Compare and contrast qualitative and quantitative research. Provide an example of each using a different example than your classmates.What type of research best suits your research project?How can you use research in the workplace? Would you need to make modifications? If so what kind?What do you plan to do with your research project?help me with these discussion questions
- What are the key Issues in Quantitative Research? Why are they issues?The use of bivariate analysis is warranted when a. determining the association between two ordinal variables (dependent and independent) b. determining the association between two qualitative variables (dependent and independent) c. determining the relationship between an ordinal dependent and continuous independent variable d. determining the relationship between two continuous variables (dependent and independent)Q1 Collect sufficient data about any two quantitative variables (logically correlated) using reasonable sets of values (At least 20 values). Use Microsoft Excel and answer the following: First: Determine the independent variable and the dependent variable. Second: Make the correlation analysis, determine the correlation coefficient, and interpret it. Third: Conduct the regression analysis and answer the following questions: What is the type of regression in your example? Write the sample size. Find the degrees of freedom. Find the value of the coefficient of determination, and interpret it. Is your model valid? Why? Is the independent variable having a significant effect on the dependent variable? Why? Write down the regression line equation. Estimate the value of ŷ at any value of X.
- carefully weigh the data before casting your vote. As you review the data, you ask yourself, Assuming both teams handled roughly the same number of customers, which chart impresses me more? Which team is the most consistent? Which team, over time, has better average scores? Growing scores? Declining scores? What does the Descriptive Statistics ToolPak tell me about the data? Which team is showing improvement? Can I estimate (or visually predict using the best fit line) which team will have better future performance? If so, which team? How do I know? …and, for whom should I vote?I need the answer to this question, please? An article included a summary of findings regarding the use of SAT I scores, SAT II scores, and high school grade point average (GPA) to predict first-year college GPA. The article states that "among these, SAT II scores are the best predictor, explaining 17 percent of the variance in first-year college grades. GPA was second at 15.5 percent, and SAT I was last at 13.5 percent." If the data from this study were used to fit a least squares line with y = first-year college GPA and x = high school GPA, what would the value of r2 have been? r2 =Chest Injury Rating Car Driver Passenger Car Driver Passenger 1 42 35 10 36 37 2 42 35 11 36 37 3 34 45 12 43 58 4 34 45 13 40 42 5 45 45 14 43 58 6 40 42 15 37 41 7 42 46 16 37 41 8 43 58 17 44 57 9 45 43 18 42 42 Generate test results (α = .01) using data analysis (EXCEL).
