Students’ General Knowledge of the Learning Process: A Mixed Methods Study Illustrating Integrated Data Collection and Data Consolidation

Velzen, Joke H. van

doi:10.1177/1558689816651792

Cited by 18 publications

(16 citation statements)

References 57 publications

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“…Teddlie and Tashakkori (2009) called this process ''quantitizing'' and ''qualitizing'' as a strategy in conversion designs to provide a third option beyond sequential and parallel temporal order of strands (Greene, 2007). Quantitizing means assigning numeric values to nonnumeric data (Sandelowski, Voils, & Knafl, 2009), and qualitizing means converting quantitative data into narrative representations (Teddlie & Tashakkori, 2009;van Velzen, 2016). 2.…”

Section: Typologies Of Mixed Methods Analysismentioning

confidence: 99%

“…To achieve consolidation, qualitative and quantitative data have to be merged into a new consolidated data set. Thus, they have to take the same (or similar) format, which means some form of data transformation is required (Collingridge, 2012; Sandelowski et al, 2009; van Velzen, 2016). From this data set, it is not possible to identify the original qualitative or quantitative data, instead, a genuine new piece of information is generated (Caracelli & Greene, 1993; Creswell & Plano Clark, 2018).…”

Section: Data Integration: How Is It Done?mentioning

confidence: 99%

“…Another distinction is relevant in this context: data combination versus integration (Creswell & Plano Clark, 2018; van Velzen, 2016; Woolley, 2009; Yin, 2006). Data combination refers to an “additive process” in which different types of data are combined (1 + 1 = 2).…”

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confidence: 99%

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Integrating and Consolidating Data in Mixed Methods Data Analysis: Examples From Focus Group Data With Children

Vogl

2018

Journal of Mixed Methods Research

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The challenge in data analysis often lies in accounting for the multidimensionality and complexity of the data while simultaneously discovering patterns. Integrating and consolidating different types of data during analysis can broaden the perspective and permit obtaining complementary views. This methodological research study on data collection illustrates how one type of data collection generates different types of data, which can be linked and consolidated to reach a better understanding of the topic. Procedures and practicalities are illustrated to offer a good practice example for data integration and consolidation. With the methodological reflection of research practice, I evaluate the consequences for the field of mixed methods research, in which the practicalities of an integrated mixed analysis still need to be elaborated.

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Section: Typologies Of Mixed Methods Analysismentioning

confidence: 99%

Section: Data Integration: How Is It Done?mentioning

confidence: 99%

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Integrating and Consolidating Data in Mixed Methods Data Analysis: Examples From Focus Group Data With Children

Vogl

2018

Journal of Mixed Methods Research

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“…A mixed methodology, combining quantitative and qualitative data collection techniques, was used to inquire into the object of study [32,33]. This method is particularly useful when we want to gain in-depth knowledge of a multidimensional phenomenon that is difficult to analyse using a single research approach [34].…”

Section: Designmentioning

confidence: 99%

Women’s Well-Being and Rural Development in Depopulated Spain

Palma

Lorent-Bedmar

2020

IJERPH

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The threat of depopulation in the rural areas making up what has become to be known as “empty Spain” is currently an extremely urgent national issue. Women are a fundamental pillar of rural sustainability, but the lack of decent living conditions has led to their mass exodus to the country’s cities. We analysed the factors undermining their health and well-being, thus leading to their dissatisfaction and their subsequent desire to abandon the countryside for a better life. A mixed methodology was employed, combining qualitative and quantitative data collection techniques. For data collection, an ad hoc questionnaire was developed before being administered to members of the Rural Development Groups of the Celtiberian Highlands, while some of their number were also interviewed. Rural women experience personal dilemmas that prompt them to migrate. These include choosing between living in the place where they were born, close to their families and neighbours, and a decent productive job, the availability of basic services and a broader range of leisure opportunities, among other aspects. It is essential to acknowledge the socio-economic importance of women’s work, to identify invisible burdens and their risks and to adopt measures that facilitate the reconciliation of work and family life.

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“…From the field of education, van Velzen (2018) provides an example of data consolidation as a mixed methods data analysis approach. Through this integration strategy, the author seeks to obtain a better understanding of students’ awareness with regard to their understanding of general knowledge of the learning process.…”

mentioning

confidence: 99%