This allows other researchers to inspect the thought process that is involved in acquiring and analyzing the data. However, there are some common mathematical techniques that can make your evaluation data more understandable. Jan 11, 2010 hence, it is recommended that the student use the valid percent column at all time in analyzing quantitative data. To deal with this problem, we use inferential statistics. The basic thesis of this paper is that successful data analysis, whether quantitative or qualitative, requires 1 understanding a variety of data analysis methods, 2 planning data analysis early in a project and making revisions in the plan as the work develops. Quantitative data refers to numbers and statistics, and is very useful in finding patterns of behaviour. Called descriptive statistics1 because they help describe raw data, these methods include. The principle of statistical analysis analysisquant xi5.
For a continuous variable, the probability density function pdf. Assessment data analysis toolkit assessment of teaching and. The difference between qualitative and quantitative data and analysis all you need to know. How do we analyze quantitative data when it is not bell shaped. Analyzing and interpreting data 2 wilder research, august 2009 analyzing quantitative data quantitative data is information you collect in numerical form, such as rating scales or documented frequency of specific behaviors. Pdf on mar 1, 2016, babak taheri and others published quantitative data analysis approaches find, read and cite all the research you. Analyzing quantitative data allows your evaluation findings to be more understandable so you can use them to strengthen your program. Technical assistance network at aed for sharing his knowledge by contributing appendix.
In a prior post, we looked at analyzing quantitative data using descriptive statistics. Below is the same data as in the table above, only this time in graph form. It also serves as a valuable reference for applied statisticians and practitioners working in the fields of education, medicine, business and public service who analyze, interpret. However, with descriptive stats, you only learn about your sample but you are not able to compare groups nor find the relationship between variables. The resources below can help you learn more about how to analyze quantitative data. Workbook i 8 analyzing quantitative data sometimes its easiest to see a frequency distribution in a graph. This guide states that qualitative data cannot be used for generalizing which is not always true. Quantitative data analysis may include the calculation of frequencies of variables and differences between variables. Visually illustrating the data this way can help a reader make sense of the findings. This methodology transfer paper on quantitative data analysis deals with information expressed as numbers, as opposed to words, and is about statistical analysis. Deriving absolute meaning from such data is nearly impossible. From description to explanation pdf,, download ebookee alternative successful tips for a improve ebook reading experience. Explain the limitations and level of analysis you deem appropriate given your data.
Qualitative data analysis works a little differently from quantitative data, primarily because qualitative data is made up of words, observations, images, and even symbols. Quantitative data analysis and interpretation university of. In this section, you will learn about the most common quantitative analysis procedures that are used in small program evaluation. Pdf analyzing quantitative data download full pdf book. Analyzing quantitative numeric assessment data pdf resource containing tips and suggestions intended to help faculty consider best practices and plan for summarizing quantitative numeric data about student learning. Explain the process of analyzing quantitative data. Meaningfulness is determined by the particular goals and objectives of the project at hand. Department of sociology boston college chestnut hill, ma 02467. Difference between qualitative and quantitative data with. Offering a unique approach to numerical research methods, analyzing quantitative data. Numbers are meaningless unless we analyze and interpret them in order to reveal the truth that lies ben eath them. Review the purpose of the evaluation and what you want to find out.
Download analyzing quantitative data n blaikie sage 2003. Of the sampled population n1,517, the response rate is 99. Hence, it is recommended that the student use the valid percent column at all time in analyzing quantitative data. Quantitative data analysis is widely used in many fields, including economics, sociology, psychology, market research, health development, and many different branches of science. In quantitative data analysis you are expected to turn raw numbers into meaningful data through the application of rational and critical thinking. Quantitative data is defined as the value of data in the form of counts or numbers where each dataset has an unique numerical value associated with it. An introduction for social researchers presents readers with the necessary statistical applications for carrying out the key phases of conducting and evaluating a research project. University of wisconsin extension program, development and evaluation unit beginner this guide presents an introduction to descriptive statistics and explains how to use them in evaluation. Quantitative data analysis is helpful in evaluation because it provides quantifiable and easy to understand results. Your guide to qualitative and quantitative data analysis. Analyzing qualitative data g365812 delta state university. Take a read of this article to know the difference between qualitative and quantitative data. You might have brief responses to openended questions on a survey.
It is a messy, ambiguous, time consuming, creative, and fascinating process. Pdf t his article considers the analysis of data in quantitative research. Quantitative data collection can be difficult and time consuming. Analyzing and interpreting data 2 myths complex analysis and big words impress people. For the application of quantitative data analysis it is crucial that the selected method is appropriate for the data structure. They also provide examples of identifying themes and labeling data describe the use of computer based software to organise the data. Chapter pdf available february 2010 with 1,151 reads. The book is a triumphant introduction to the theory and practice of quantitative methods. The principle of statistical analysis analysisquantxi5. Identify a few key questions that you want your analysis to answer. You are probably familiar with the basic differences between qualitative and quantitative research methods, and their different applications in dealing with research questions posed in health care research. Analyzing quantitative data statistical analysis can be quite involved. Quantitative data analysis, sascha oberhuber, iris maurer. Analysing and reporting quantitative data a how to.
Step 3analyze data using analyze menu and graphs menu. Pdf resource containing tips and suggestions intended to help faculty consider best practices and plan for summarizing quantitative numeric data about student learning. Using spssusing spss step 1use coded questionnaire to dfi v ibl idefine variables using viblvivariable viewer. Quantitative data analysisin the graduate curriculum. Also, learn more about advantages and disadvantages of quantitative data as well as the difference. Analysis comes at the end when there is data to analyze. Download the ebook analyzing quantitative data n blaikie sage 2003 in pdf or epub format and read it directly on your mobile phone, computer or any device. Pdf a stepbystep guide to qualitative data analysis. Analyzing quantitative data is an excellent book for social sciences courses on data analysis and research methods at the upperundergraduate and graduate levels. Investing time and effort in analysis may give the impression of greater value than is merited. For example, typically, closeended survey questions are coded into numbers so they can be analyzed quantitatively.
The publisher has supplied this book in drm free form with digital watermarking. On the contrary, quantitative data is the one that focuses on numbers and mathematical calculations and can be calculated and computed. Collecting and analyzing evaluation data, presents steps for quantitative methods methods for collecting and summarizing numerical data and qualitative methods specifically focusing on methods for summarizing textbased data. Taylorpowell and renner 2003 outline a five step process to support the analysis of text or narrative data. It is also increasingly recognized that all data collectionquantitative and qualitativeoperates within a cultural context and is affected to some extent by the perceptions and beliefs of. All too often, piles of questionnaires are left sitting in boxes while people wonder about the best way of dealing with them. Although technological innovations have shortened the time needed to process quantitative data, a good survey requires considerable time to create and. Data analysis is the process of bringing order, structure and meaning to the mass of collected data. Qualitative data analysis is an iterative and reflexive process that begins as data are being collected rather than after data collection has ceased stake 1995. Qualitative analysis is easier than quantitative analysis data have their own meaning stating limitations weakens the evaluation computer analysis is always easier and better. Evaluation briefs no 20 centers for disease control and. The quantification of measures such as stroke volumes helps to assess the cardiac function and monitor disease progression. In chapter 3, we focused on analyzing bell shaped normal data, but many data sets are not bell shaped. Quantitative data means data, or evidence, based on numbers.
A userfriendly, handson guide to recognizing and conducting proper research techniques in data collection. Quantitative research techniques generate a mass of numbers that need to be summarised, described and analysed. Narrative data text or narrative data come in many forms and from a variety of sources. Organization of the wide, often bewildering array of methods of data analysis into a coherent and userfriendly scheme of classification. After youve bought this ebook, you can choose to download either the pdf version or the epub, or both. Pdf quantitative data analysis approaches researchgate. Time constraints similarly, data complexity and quality affect the time needed for data collection and analysis. Used to display quantitative data easyyp to interpret and understand bar chart and pie charts use ordinal and nominal variables an example can be a bar chart to display q6frequency of visit. For the application of quantitative data analysis it is crucial that the selected method is.
In general, descriptive statistics describe your data in terms of the tendencies within the sample. With statistics, we can summarize large numerical data sets, make predictions about future trends, and determine when different. Analysing and reporting quantitative data kirklees council. Assessment data analysis toolkit assessment of teaching.
In other words, quantitative data analysis is a field where it is not at all difficult to carry out an analysis which is simply wrong, or inappropriate for your data or purposes. The figures in the following table are difficult to read due to the centre alignment, unnecessary decimal points and % signs in each cell. Learn more about the common types of quantitative data, quantitative data collection methods and quantitative data analysis methods with steps. Analyzing qualitative data the purpose of coding qualitative data is to take an overwhelmingly large amount of words or artifacts and organize them into manageable chunks. All too often, piles of questionnaires are left sitting in boxes while people. A quantitative approach is usually associated with finding evidence to either. The goal of data analysis is to reveal the underlying patterns, trends, and relationships of a studys contextual situation. Quantitative data is defined as the value of data in the form of counts or numbers where each data set has an unique numerical value associated with it. This booklet is a companion to analyzing quantitative data g36586 in this series. Qualitative data analysis national institute for health. The analysis and reporting stage of your survey is extremely important. The main issue is that the mean and standard deviations are not accurate and should not be used in the analysis. The data analysis that can be done depends on the data gathering that was done qualitative and quantitative data may be gathered from any of the three main data gathering approaches percentages and averages are commonly used in interaction design mean, median and mode are different kinds of. Collecting and analyzing evaluation data 2nd edition.
Quantitative data can be analyzed in a variety of different ways. Chapter 4 analyzing skewed quantitative data introduction. These data types are used in a number of fields like marketing, sociology, business, public health and so on. A userfriendly, handson guide to recognizing and conducting proper research techniques in data collection offering a unique approach to numerical research methods, analyzing quantitative data.
There are often no predefined measures or hypotheses. A read is counted each time someone views a publication summary such as the title, abstract, and list of authors, clicks on a figure, or views or downloads the fulltext. For both types of data, we present the following steps. Detailed tracking of the data collection and analysis process is another method to enhance the validity of the work. Analyzing quantitative data by blaikie, norman ebook. Analysing and reporting quantitative data kirklees. Teaching quantitative data analysis is not teaching number crunching, but teaching a way of critical thinking for how to analyze the data. Next to her field notes or interview transcripts, the qualita.
Whatever data entry method is used, the data must be checked carefully for errorsa process called data. It also serves as a valuable reference for applied statisticians and practitioners working in the fields of education, medicine, business and public service who analyze, interpret, and evaluate data in their daily work. And the negative side of readily available specialist statistical software is that it becomes that much easier to generate elegantly presented rubbish 2. Qualitative modes of data analysis provide ways of discerning, examining, comparing and contrasting, and interpreting meaningful patterns or themes.
721 481 999 1546 1144 862 1521 235 958 1521 1014 1566 130 602 346 429 338 1406 111 949 882 1147 901 356 1353 777 1003 506 867 1498 650 184