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Author Question: Which of the following is the research objective? a. To answer the research question b. To ... (Read 133 times)

skymedlock

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Which of the following is the research objective?
 
  a. To answer the research question
  b. To determine the strength of the statistical relationship among the variables
  c. To determine whether homeless children seem to have longer length of hospital stay, poorer verbal skills, and more fear of separation from their parents than do other children
  d. To measure length of stay, verbal skills, and fear of separation from parents in homeless children admitted to the hospital

Question 2

This diagram refers to correlational relationships. What does it mean? (Select all that apply.)
 
  a. A negative relationship is smaller than no relationship.
  b. A negative relationship occurs before a positive relationship.
  c. Negative relationships evolve in a positive direction.
  d. The strength of the relationship depends upon its numerical value, not the positive or negative sign preceding that number.
  e. There is no strength in a negative or positive relationship.
  f. A positive relationship is better than none; no relationship is better than a negative one.
  g. The further away from 0, the stronger the relationship.



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jaaaaaaa

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Answer to Question 1

ANS: C
Research objectives are clear, concise, declarative statements that are expressed in the present tense. For clarity, an objective usually focuses on one or two variables (or concepts) and indicates whether the variables are to be identified or described. Objectives can also identify relationships or associations among variables, determine differences between groups or compare groups on selected variables, and predict a dependent variable based on selected independent variables.

Answer to Question 2

ANS: D, G
A relational statement declares that a relationship of some kind exists between or among two or more concepts. Relational statements describe the direction, shape, strength, symmetry, sequencing, probability of occurrence, necessity, and sufficiency of a relationship. Researchers usually determine the strength of the relationship between concepts by correlational analysis. The statistic r is the coefficient obtained by performing the statistical procedure known as Pearson's product moment correlation. A value of 0 indicates no strength, whereas a +1 or a 1 indicates the greatest strength, as in the diagram. The + or  does not have an impact on strength. For example, r = 0.35 is as strong as r = +0.35. The greater the strength of a relationship, the easier it is to detect relationships between the variables being studied.





 

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