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Related Concept Videos

Qualitative Analysis03:46

Qualitative Analysis

For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
For instance, group IV...
Qualitative Analysis01:10

Qualitative Analysis

Qualitative analysis is the process of identifying elements, ions, or compounds in an unknown sample. It is the first and most fundamental type of analysis based on the hierarchy of analytical goals. This hierarchy is significant as it provides a structured approach to scientific research, with qualitative analysis serving as the initial step, providing essential information before moving on to quantitative or other forms of analysis.
There are two main approaches to qualitative analysis:...
Quantitative Analysis01:12

Quantitative Analysis

Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the method...
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
Cochran's Q Test01:17

Cochran's Q Test

Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square distribution,...
Group Design02:01

Group Design

The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between the two are due to...

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Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View
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Combining qualitative and quantitative research within mixed method research designs: a methodological review.

Ulrika Östlund1, Lisa Kidd, Yvonne Wengström

  • 1Division of Nursing, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden. ulrika.ostlund@ki.se

International Journal of Nursing Studies
|November 19, 2010
PubMed
Summary

This review found parallel data analysis is common in mixed methods healthcare research. Triangulation aids integrating qualitative and quantitative findings for better theory development.

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Area of Science:

  • Healthcare Research
  • Nursing Science
  • Health Science

Background:

  • Mixed methods research integrates qualitative and quantitative approaches.
  • Complexity in nursing and health science phenomena necessitates robust research frameworks.
  • Debate exists regarding the integration of qualitative and quantitative methods in research.

Purpose of the Study:

  • To explore analytical approaches in mixed methods healthcare research.
  • To exemplify triangulation as a metaphor for drawing inferences from mixed methods data.
  • To address the need for a rigorous framework in mixed methods research design and interpretation.

Main Methods:

  • Systematic literature review of healthcare studies using mixed methods.
  • Searches conducted in CINAHL, Medline, and PsycINFO databases.
  • Inclusion of English-language studies published between January 1999 and September 2009.

Main Results:

  • 168 studies were included, primarily from the USA, UK, and Canada.
  • Parallel data analysis was the most common approach, followed by sequential, then concurrent.
  • Few studies clearly articulated the rationale for their mixed methods design.

Conclusions:

  • A trend towards parallel data analysis in mixed methods healthcare research was identified.
  • Triangulation facilitates the integration of qualitative and quantitative findings.
  • Triangulation aids in clarifying theoretical propositions, understanding theory-empirical links, and developing new theory.