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19 Cards in this Set

  • Front
  • Back

Warranted Assertibility

present when you have good evidence about your research claim

Incompatibility Thesis

either-or position claiming mixing is not possible or allowable

Compatibility Thesis

says that quantitative and qualitative approaches can be used together in a single research study as long as researchers respect the assumptions associated with quantitative and qualitative research and construct a thoughtful combination that will help to address their research question(s)

Pragmatism

focused on consequences and the ends that researchers value; research design should be planned and conducted based on what will best help the researcher answer the research questions

Time Orientation Criterion

asks whether quantitative and qualitative data collection occur concurrently or sequentially

Sample Relationship Criterion

results in four major types: identical, parallel, nested, and multilevel

Mixed Methods Sampling Designs

1. identical concurrent
2. identical sequential
3. parallel concurrent
4. parallel sequential
5. nested concurrent
6. nested sequential
7. multilevel concurrent
8. multilevel sequential

fundamental principle of mixed methods research

According to this principle, thoughtful mixing of methods, procedures, and other paradigm characteristics is an excellent way to conduct high-quality research

intermethod mixing

two or more of the methods of data collection are used in a research study

intramethod mixing

both quantitative and qualitative data are obtained through the creative use of a single method of data collection

Time orientation

refers to whether the qualitative and quantitative components or phases of the study occur at approximately the same point in time (i.e., concurrently) or whether they are organized into phases over time (i.e., sequentially)

Paradigm/research-approach emphasis

refers to whether the qualitative and quantitative parts of the study are given approximately equal emphasis (i.e., equal-emphasis or interactive design) or if one part is considered primary and more strongly emphasized

meta-inferences

integrative inferences or conclusions based on qualitative and quantitative data and findings

Monodata-monoanalysis

Quantitative analysis of quantitative data


OR


Qualitative analysis of qualitative data


This is not a type of mixed data analysis

Monodata-multianalysis

(a) For quantitative data: Quantitative analysis (QUAN) and qualitative analysis of quantitative data (QUALITIZE).


OR


(b) For qualitative data: Qualitative analysis (QUAL) and quantitative analysis of qualitative data (QUANTITIZE)

Multidata-monoanalysis

Only quantitative analysis of both quantitative and qualitative data


OR


Only qualitative analysis of both qualitative and quantitative data



This type is not frequently used

Multidata-multianalysis

This is a combination of “(a)” AND “(b)” from Monodata-multianalysis cell

Qualitizing data

forming narrative profiles (e.g., modal profiles, average profiles, holistic profiles, comparative profiles, normative profiles), in which narrative descriptions are constructed from statistical data

Quantitizing data

qualitative ‘themes’ are numerically represented, in scores, scales, or clusters in order to provide a comprehensive description of the studied phenomena. This technique allows for researchers to understand how often various categories or statements occurred in qualitative data.