What basic differences exist among the six strategies for mixed ...

[tsand2]

What basic differences exist among the six strategies for mixed method research? Standard Text: Select all that apply.
 
  1. Order of data collection
  2. Amount of resources required
  3. Intent of the research
  4. Whether a data collection plan is needed
  5. Whether a theoretical framework is present

Question 2

The nurse researcher's work over the last several years has resulted in the generation of a theory that self-corrects as additional data are collected, interpreted, and analyzed. The researcher uses the process of constant comparison. Which form of research is this nurse researcher most likely conducting?
 
  1. Quasi-experimental
  2. Grounded theory
  3. Case study
  4. Experimental

[diesoon]

Answer to Question 1

1, 3, 5
Rationale 1: These strategies differ by the order of data collection. These differences are reflected in the names of the strategies.
Rationale 2: The amount of resources required depends on the complexity of the research question and the depth of research required. It is not specifically dependent upon mixed method strategy chosen.
Rationale 3: The intent of the research varies among the six strategies for mixed method designs.
Rationale 4: A data collection plan is essential for all research.
Rationale 5: Presence or absence of a theoretical framework depends upon the strategy chosen. These differences are reflected in the strategy titles.
Global Rationale:

Answer to Question 2

2
Rationale 1: Quasi-experimental design is a quantitative design.
Rationale 2: Grounded theory studies are studies in which data are collected and analyzed, and then a theory is developed that is grounded in the data. Data are constantly compared to data that have already been gathered (constant comparison). As these data are gathered, adjustments are made to the theory (self-correction) to allow for the interpretation of new data obtained.
Rationale 3: Case studies are conducted by nurses, but the focus of this design is in understanding the details of a case from several perspectives.
Rationale 4: Experimental designs are quantitative.
Global Rationale: