Predictive correlational studies are designed to provide a way to ...

[Themember4]

Predictive correlational studies are designed to provide a way to predict the value of one variable, in relation to another variable. Which of the following research studies is predictive correlational in design? (Select all that apply.)
 
  a. One that studies the relationship of admission blood alcohol level in chronic alcoholics upon the amount of time that elapses before delirium tremens begin
  b. One that classifies patients coming to an emergency department as critically ill, acutely ill, or not acutely ill
  c. One that quantifies the probability that adolescents completing a one-day type I diabetes workshop will develop ketoacidosis in the following year
  d. One that studies both girls and boys in grammar school and counts the number of interactions they have with one another daily
  e. One that examines the outcomes of post-term labor
  f. One that measures the effect of a researcher-applied independent variable upon a dependent variable

Question 2

A study that studies non-smoking women with stage IV non-small cell lung cancer, following the progression of the disease in response to treatment, could have which of the following designs? (Select all that apply.)
 
  a. Comparative descriptive
  b. Time-dimensional
  c. Experimental
  d. Cross-sectional
  e. Trend designs
  f. Longitudinal
  g. Event partitioning

[Sierray]

Answer to Question 1

ANS: A, C
The aim of a predictive design is to predict the level of the dependent variable from the independent variable or variables.

Answer to Question 2

ANS: B, D, F, G
The comparative descriptive design examines and describes differences in variables in two or more groups that occur naturally in the setting. Time-dimensional designs examine trends over time, growth, or sequences and patterns of change. The dimension of time, then, becomes an important factor. The samples in time-dimensional studies are called cohorts. Experimental designs involve a researcher intervention, measuring its effect. Cross-sectional designs examine groups of subjects in various stages of development, trends, patterns, and changes simultaneously with the intent to describe changes in the phenomenon across stages. Trend designs examine changes in the general population in relation to a particular phenomenon. Longitudinal designs examine changes in the same subjects over time. A merger of the cross-sectional or longitudinal and trend designs, the event-partitioning design, is used in some cases to increase sample size and to avoid the effects of history on the validity of findings.

[Themember4]

Thanks for the timely response, appreciate it

[kilada]

Wow, this really help