Quantitative Data Analysis

2021 ◽  
pp. 184-202
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Undergraduate Students ◽  
Quantitative Data ◽  
Quantitative Research ◽  
Research Projects ◽  
Quantitative Data Analysis ◽  
Non Parametric

This chapter discusses the analysis of data in quantitative research and the most common strategies to follow. Undergraduate students in most programmes may not necessarily need to use advanced statistical analysis. This chapter takes the readers through parametric and non-parametric tests. Readers will be able to grasp measurement tests that are appropriate for several quantitative data analysis in research projects. The differences between parametric and non-parametric tests are examined and explored in some detail. The assumptions for parametric and non-parametric measures are also highlighted and relevant examples provided and should enable the reader to select appropriate measures for their research projects.

Quantitative Data Analysis Approaches

2015 ◽  
Author(s):  
Babek Taheri ◽  
Catherine Porter ◽  
Christian Konig ◽  
Nikolaos Valantasis-Kanellos
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Statistical Analysis ◽  
Quantitative Data ◽  
Quantitative Research ◽  
Descriptive Analysis ◽  
Statistical Techniques ◽  
Statistical Tools ◽  
Quantitative Data Analysis ◽  
Key Issues

In order to understand data and present findings in an accurate way, researchers and managers need to develop an awareness of statistical analysis techniques. This chapter focuses on two sets of the most widely used statistical tools – exploring relationships and comparing groups. It also briefly explains the nature of Big Data. This chapter explores the data preparation approach, how to conduct preliminary (descriptive) analysis as well as introducing some of the main statistical techniques used in quantitative research in business management. The key issues that should be related back to your study question are a) how to prepare your data; b) how to conduct preliminary data analysis; c) what analyses are appropriate for comparing groups; d) what techniques are most appropriate for exploring relationships.

scholarly journals Graphical Data Analysis

2021 ◽  
Vol 2020 (1) ◽  
pp. 1
Author(s):  
Paul Collett
Keyword(s):  
Data Analysis ◽  
Quantitative Data ◽  
Quantitative Research ◽  
Statistical Significance ◽  
Academic Disciplines ◽  
Ongoing Debate ◽  
Statistical Significance Testing ◽  
Graphical Data ◽  
Quantitative Data Analysis

Limitations in statistical significance testing are an issue of ongoing debate in many academic disciplines. Moving away from a reliance on their use in quantitative research is seen as an important step towards improving the quality of such research. One area that can help here is graphical data analysis, both as an exploratory and explanatory tool. This paper presents an overview of graphical techniques for quantitative data analysis. After outlining the rationale for the use of graphical data analysis, consideration of the appropriate types of graphs to use is provided. A number of useful graphs, created using the R statistical package, are introduced, along with a link to the full code to reproduce the examples. Suggestions are presented for how graphical techniques can help with both the exploration and conformation stages in research. 統計的有意差検定の限界は、多くの学術分野で継続的に議論されている問題である。量的研究における統計的有意差検定への使用依存から脱却することは、研究の質を向上させるための重要なステップであると考えられる。ここで役立つのが、探索的・説明的なツールとしてのグラフデータ分析である。本稿は、定量的なデータ分析のためのグラフ技術の概要を説明する。グラフィカルなデータ分析を使用する理由を説明した後、使用するグラフの適切な種類について検討する。R統計パッケージを用いて作成された便利なグラフの数々を紹介し、例題を再現するための完全なコードへのリンクも掲載する。本稿は、研究における探索と適合の両方の段階で、グラフ技術がどのように役立つかを提案するものである。

Integrating Active Learning & Quantitative Skills into Undergraduate Introductory Biology Curricula

2011 ◽  
Vol 73 (8) ◽  
pp. 454-461 ◽  
Author(s):  
Jessica Goldstein ◽  
Dan F. B. Flynn
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Quantitative Data ◽  
Thinking Skills ◽  
Introductory Biology ◽  
Quantitative Skills ◽  
Quantitative Data Analysis ◽  
Testing Data ◽  
Core Components ◽  
Biology Laboratory

Analytical and quantitative thinking skills are core components of science but can be challenging to teach in introductory biology courses. To address this issue, modest curriculum modifications, including methods of hypothesis testing, data collection, and statistical analysis, were introduced into existing exercises in an introductory biology laboratory course. After completing the updated course, students demonstrated improved ability to understand and interpret statistical analyses. Furthermore, students were more likely to understand that hypothesis development and quantitative data analysis are important parts of biology. This study indicates that small changes to laboratory curricula can effect important changes in student learning and attitudes.

scholarly journals Meta Analisis Pengaruh Model Pembelajaran POE Terhadap Pemahaman Konsep

2019 ◽  
Vol 4 ◽  
pp. 174
Author(s):  
Dewanta Arya Nugraha ◽  
Arifian Dimas ◽  
C Cari ◽  
A Suparmi ◽  
Widha Sunarno
Keyword(s):  
Data Analysis ◽  
Quantitative Data ◽  
Qualitative Data ◽  
Meta Analysis ◽  
Learning Model ◽  
Research Results ◽  
Purposive Sampling ◽  
Is Research ◽  
Research Theme ◽  
Quantitative Data Analysis

<p><strong>Abstract: </strong>This study aims to analyze the POE learning model for understanding physics concepts. The method used in this research is a meta-analysis. Meta-analysis is research that examines the results of similar studies. Data obtained from national and international journal documents taken by purposive sampling based on conformity with the research theme. Data analysis using quantitative data analysis with presentations and qualitative data analysis in the form of descriptions of research results found. Based on data analysis, it found that the POE learning model can improve students' understanding of concepts.</p><p> </p><p><strong>Abstrak: </strong>Penelitian ini bertujuan untuk menganalisis model pembelajaran POE terhadap pemahaman konsep fisika. Metode yang digunakan dalam penelitian ini adalah meta analisis. Meta analisis merupakan penelitian yang mengkaji hasil penelitian yang sejenis. Data diperoleh dari dokumen-dokumen jurnal nasional maupun internasional yang diambil secara purposive sampling berdasarkan kesesuaian dengan tema penelitian. Analisis data menggunakan analisis data kuantitatif dengan presentasen dan analisis data kualitatif berupa deskripsi-deskripsi hasil penelitian yang ditemui. Berdasarkan analisis data ditemukan bahwa model pembelajaran POE dapat meningkatkan pemahaman konsep siswa</p>

scholarly journals Peningkatan Kemampuan Penyusunan Rencana Pelaksanaan Pembelajaran Guru MIN Amkoteng melalui Supervisi Akademik

Al Adzka ◽  
2018 ◽  
Vol 8 (1) ◽  
pp. 77
Author(s):  
Berkati Berkati
Keyword(s):  
Data Analysis ◽  
Action Research ◽  
Primary Schools ◽  
Quantitative Data ◽  
National Education ◽  
Quantitative Data Analysis ◽  
Planning Implementation ◽  
Implementation Plans

The purpose of this study was to determine the increase in the ability of teachers in preparing Learning Implementation Plans (RPP) through academic supervision. This research is a school action research with steps: planning, implementation, observation, and reflection. This research is planned to consist of two cycles. This research was carried out at MIN Amkoteng Subdistrict Anjir Muara, Barito Kuala District, South Kalimantan Province. Quantitative data analysis was used to determine the increase in the value of the practice of making RPP by teachers based on the standards set by the Ministry of National Education. The results of the study show that the teacher's ability to prepare RPP can be improved by academic supervision; collaboration between teachers and Supervisors of Primary Schools can be well established and useful in fostering teachers to improve their abilities in preparing RPP; the complete document II of the Education Unit (KTSP) MIN Amkoteng curriculum is complete, in the form of RPP collection documents; and this academic supervision can be used as a model in the following years in terms of drafting RPP, and can be used as an example for other schools.

scholarly journals Peningkatkan Kemampuan Berhitung Permulaan Melalui Media Sempoa

2021 ◽  
Vol 2 (1) ◽  
pp. 15-22
Author(s):  
Erna Olua ◽  
Diana Setyaningsih ◽  
Yohana B. Pabendan
Keyword(s):  
Data Analysis ◽  
Action Research ◽  
Data Collection ◽  
Qualitative Analysis ◽  
Quantitative Data ◽  
Quantitative Data Analysis ◽  
Numeracy Skills ◽  
Field Notes ◽  
Group B ◽  
Academic Year

The purpose of this study was to describe the increase in numeracy skills of 0-10 through the Abacus Media for Group B children in Integrated PAUD Nagallo Marannu, Puncak Jaya Regency, Academic Year 2017/2018. This research was conducted on group B children, amounting to 16 people. This research is an action research with the method of Kemmis and Taggart which consists of 4 stages, namely (plan, act, observe and reflect). This study consisted of 2 cycles, each of which consisted of 3 meetings. Data collection techniques using observation, field notes, and documentation. Data analysis using quantitative and qualitative. Quantitative data analysis was performed with statistical descriptions to compare pre-cycle to cycle II. Qualitative analysis is carried out by analyzing data from observations, field notes and verified documentation. The results showed that there was an increase in the ability to count numbers 0-10 through the abacus media with a score in the pre-cycle of 46.35% increasing to 66.66% in the first cycle and an increase of 82.29 in the second cycle with the very well developed category.

scholarly journals Penerapan Pendidikan Karakter di Era Digital Melalui Kegiatan Bazar Bulanan (Monthly Bazaar)

2021 ◽  
Vol 11 (1) ◽  
pp. 49
Author(s):  
Zakiyah Ismuwardani ◽  
Sri Hastuti
Keyword(s):  
Data Analysis ◽  
Quantitative Data ◽  
Qualitative Data ◽  
Qualitative Data Analysis ◽  
Qualitative And Quantitative ◽  
Second Stage ◽  
Digital Era ◽  
Quantitative Data Analysis ◽  
Two Stages ◽  
Exploratory Strategy

This study aims to make students have an independent character, discipline and responsibility in the digital era through the Monthly Bazaar. The method used in this research was Mixed Method with a sequential exploratory strategy. The sequential exploratory strategy involves collecting and analyzing quantitative data in the second stage based on the results of the first stage. Weights / priorities are more likely to be in the first stage, and the mixing process between these two methods occurs when the researcher makes a connection between qualitative data analysis and quantitative data collection. The results of the study were obtained from qualitative data analysis in the first stage and quantitative data in the second stage. The results of the first stage were obtained from educators' observations of students after completing the monthly bazaar. The results of the second stage are obtained through calculations using a Likert scale and it is obtained the data of 43.75% (ever) if it is categorized in interpretation of scores based on intervals. This data was obtained before the implementation of the monthly bazaar. After implementing the monthly bazaar for two times, the data is 72.75% (often). From the two stages, the relevant results obtained between qualitative and quantitative data analysis showed that there was an independent character, discipline and responsibility embedded in students after the implementation of the monthly bazaar activities.

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