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1. Construct Development, Scale Creation, and Process Analysis
a. Part I: Construct Development and Scale Creation
1) Choose a construct you would like to measure.2) Create an operational definition of your construct using at least three peer reviewed journal articles as sources as references.3) Select and list five items used to sample the domain.4) Select method of scaling appropriate for the domain. Justify why you selected the scaling method you did.5) Format the items into an instrument with which you would query respondents. Justify whether this is an interview or self-report instrument.
b. Part II: Analysis and Justification
Prepare an analysis of how you developed your instrument. Be sure to describe how you chose your items, how you would norm this instrument (How many people would you give it to? What characteristics would your respondents have? To whom would the instrument be generalized?) andwhich reliability measures you would use. Also, describe how you would establish validity as well as the methods you used for item selection and how item selection will be evaluated.
Conduct a 3-period moving average, an exponential smoothing forecasting using an alpha of .25, and a seasonal forecast with 3 seasons.
Make a decision using the p-value approach at the given α = 0.05.
The entire shipment is accepted if only one or non of the tablets is defective. If the defect rate is 5% then what is the probability that the shipment will be accepted?
Find the value of the standard normal random variable z, called z 0 such that:
Does it seem prevention plans were effective in reducing mean amount of a claim? Use 0.05 level of significance. Set up Null and Alternate Hypothesis.
You create a 95% confidence interval for your average score and it is (76.347, 79.133). Given this information, what is the best conclusion?
Determine what analysis would you do on each problem (ie, one-sample z-test, one-sample t-test, proportion test, two-sample independent t-test, or paired test)?
A quality-control manager randomly selects 70 bottles of ketchup that were filled on S1 to assess the calibration of the filing machine. Determine the population study?
Assuming that the Styrofoam absorbs a negligibly small amount of heat and that no heat was lost to the surroundings, what is the specific heat capacity of the metal?
Looking at the data, you suspect that the manufacturer is incorrect in its label claim. You want to perform hypothesis testing to prove or disprove it.
Collapse the response categories in the following tables so that it meets the assumptions of the chi-square test; than perform the test.
Listed below are birth weights (in kilograms) of male babies born to mothers on a special vitamin supplement (based on data from the New York State Department of Health).
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