Finally, the type of data analysis will also depend on the number of variables in the study. Studies may be univariate, bivariate or multivariate in nature. The following Slideshare presentation, Quantitative Data Analysis explains the use of appropriate statistical analyses in relation to the number of variables being examined.
Evaluation Toolkit — Analyze Quantitative Data — This resource provides an overview of four key methods for analyzing quantitative data. Analyzing Quantitative Data — The following link discusses the use of several types of descriptive statistics to analyze quantitative data.
Analyze Data — This website discusses how to determine the type of data analysis needed, descriptive statistics, inferential statistics, and useful software packages. Descriptive and Inferential Statistics — This resources provides an overview of these types of statistical analyses and how they are used.
This pin will expire , on Change. This pin never expires. Select an expiration date. About Us Contact Us. Search Community Search Community. Analyzing Quantitative Research The following module provides an overview of quantitative data analysis, including a discussion of the necessary steps and types of statistical analyses.
List the steps involved in analyzing quantitative data. Define and provide examples of descriptive statistical analyses. Define and provide examples of inferential statistical analyses. Following is a list of commonly used descriptive statistics: Frequencies — a count of the number of times a particular score or value is found in the data set Percentages — used to express a set of scores or values as a percentage of the whole Mean — numerical average of the scores or values for a particular variable Median — the numerical midpoint of the scores or values that is at the center of the distribution of the scores Mode — the most common score or value for a particular variable Minimum and maximum values range — the highest and lowest values or scores for any variable It is now apparent why determining the scale of measurement is important before beginning to utilize descriptive statistics.
Following is a list of basic inferential statistical tests: Correlation — seeks to describe the nature of a relationship between two variables, such as strong, negative positive, weak, or statistically significant. If a correlation is found, it indicates a relationship or pattern, but keep in mind that it does indicate or imply causation Analysis of Variance ANOVA — tries to determine whether or not the means of two sampled groups is statistically significant or due to random chance.
For example, the test scores of two groups of students are examined and proven to be significantly different. Regression — used to determine whether one variable is a predictor of another variable. For example, a regression analysis may indicate to you whether or not participating in a test preparation program results in higher ACT scores for high school students.
It is important to note that regression analysis are like correlations in that causation cannot be inferred from the analyses.
Quantitative Data Analysis from Asma Muhamad. Resource Links Evaluation Toolkit — Analyze Quantitative Data — This resource provides an overview of four key methods for analyzing quantitative data.
Qualitative research methods don't rely as heavily on large sample sizes as quantitative methods, but they can still yield important insights and findings. Consider the possible outcomes. Because qualitative methodologies are generally quite broad, there is almost always the possibility that some useful data will come out of the research. This is different than in a quantitative experiment, where an unproven hypothesis can mean that a lot of time has been wasted. Qualitative research is often cheaper and easier to plan and execute.
For example, it is usually easier and cost-saving to gather a small number of people for interviews than it is to purchase a computer program that can do statistical analysis and hire the appropriate statisticians. Choose a qualitative research methodology.
The design of qualitative research is the most flexible of all the experimental techniques, so there are a number of accepted methodologies available to you. Ethnographic research comes from the discipline of social and cultural anthropology but is now becoming more widely used. It researches the world through the eyes of another person by discovering how they interpret their experiences.
It looks at specific information and derives theories and reasons for the phenomena. Case Study Research — This method of qualitative study is an in-depth study of a specific individual or phenomena in its existing context. Each of the research methodologies has uses one or more techniques to collect empirical data, including interviews, participant observation, fieldwork, archival research, documentary materials, etc.
The form of data collection will depend on the research methodology. For example, case study research usually relies on interviews and documentary materials, whereas ethnography research requires considerable fieldwork. In direct observation, you are making specific observations of a situation without influencing or participating in any way.
Participant observation — Participant observation is the immersion of the researcher in the community or situation being studied. This form of data collection tends to be more time consuming, as you need to participate fully in the community in order to know whether your observations are valid.
Interviewing can be very flexible - they can be on-on-one, but can also take place over the phone or Internet or in small groups called "focus groups". There are also different types of interviews. Structured interviews use pre-set questions, whereas unstructured interviews are more free-flowing conversations where the interviewer can probe and explore topics as they come up. Interviews are particularly useful if you want to know how people feel or react to something. For example, it would be very useful to sit down with second career teachers in either a structured or unstructured interview to gain information about how they represent and discuss their teaching careers.
Surveys — Written questionnaires and open ended surveys about ideas, perceptions, and thoughts are other ways by which you can collect data for your qualitative research. For example, in your study of second career schoolteachers, perhaps you decide to do an anonymous survey of teachers in the area because you're concerned that they may be less forthright in an interview situation than in a survey where their identity was anonymous.
There are lots of different kinds of documents, including "official" documents produced by institutions and personal documents, like letters, memoirs, diaries and, in the 21st century, social media accounts and online blogs.
For example, if studying education, institutions like public schools produce many different kinds of documents, including reports, flyers, handbooks, websites, curricula, etc. Maybe you can also see if any second career teachers have an online meet group or blog.
Document analysis can often be useful to use in conjunction with another method, like interviewing. Once you have collected your data, you can begin to analyze it and come up with answers and theories to your research question.
Although there are a number of ways to analyze your data, all modes of analysis in quantitative research are concerned with textual analysis, whether written or verbal. Start out with a pre-set list of codes that you derived from your prior knowledge of the subject. For example, "financial issues" or "community involvement" might be two codes you think of after having done your literature review of second career teachers. You then go through all of your data in a systematic way and "code" ideas, concepts and themes as they fit categories.
You will also develop another set of codes that emerge from reading and analyzing the data. For example, you may see while coding your interviews, that "divorce" comes up frequently. You can add a code for this.
Coding helps you organize your data and identify patterns and commonalities. Descriptive statistics help describe, show or summarize the data to highlight patterns. For example, if you had principal evaluations of teachers, you might be interested in the overall performance of those students.
Descriptive statistics allow you to do that. Essentially, you are trying to make sense of the object of study and bring to light some sort of underlying coherence. Put differently, you try to identify structures and patterned regularities in the verbal or written text and then make inferences on the basis of these regularities.
Write up your research. When preparing the report on your qualitative research, keep in mind the audience for whom you are writing and also the formatting guidelines of the research journal you wish to submit your research to. You will want to make sure that your purpose for your research question is compelling and that you explain your research methodology and analysis in detail. How do I construct a research question on reading culture among school children? First, you must determine the children's geographical background to find out their language capacity.
For instance, if you are focusing on the English language, you need to know whether it is the children's native language or second language. The next step is to find out or look for a proper strategy for reading. There are lots of different models and strategies, but once again, these depend on your subjects' geographical background.
Not Helpful 1 Helpful I've been using Survey Monkey, and plan to use it more frequently as I move forward with the study. The app breaks down the information nicely, as far as how many respondents answered a certain way, number of total responses, etc.
Not Helpful 0 Helpful 6. Record the interview you can download apps on to your phone to do this , and take notes of any common themes or relevant ideas as you listen to the interview.
Not Helpful 2 Helpful 4. How do I construct a research study about the importance of a travel agency? Not Helpful 4 Helpful 4. It's wise to research a career, so you understand all the details and, that way, you know all the things involved in the career. Not Helpful 0 Helpful 0. How do I start with conducting research about studying the dynamics of a hook-up between two people? Answer this question Flag as How do I state a step by step ways of collection and analysis of data using qualitative research on leadership and development challenge in Nigeria?
How do I do a study on church attendance? How can I conduct qualitative research on perceptions about happiness in mental health professionals? Include your email address to get a message when this question is answered. Already answered Not a question Bad question Other.
Quantitative data can be analyzed in a variety of different ways. In this section, you will learn about the most common quantitative analysis procedures that are used in small program evaluation. You will also be provided with a list of helpful resources that will assist you in your own evaluative efforts.
1/19 Quantitative data analysis. First of all let's define what we mean by quantitative data analysis. It is a systematic approach to investigations during which numerical data is collected and/or the researcher transforms what is .
A simple summary for introduction to quantitative data analysis. It is made for research methodology sub-topic. In quantitative data analysis you are expected to turn raw numbers into meaningful data through the application of rational and critical thinking. Quantitative data analysis may include the calculation of frequencies of variables and differences between variables. A quantitative approach is usually.
A source of confusion for many people is the belief that qualitative research generates just qualitative data (text, words, opinions, etc) and that quantitative research generates just quantitative data (numbers). Sometimes this is the case, but both types of data can be generated by each approach. This depends on the volume and type of data you are gathering from your quantitative research. Also, analysis should be already thought out and model created even before research is conducted so that you begin with the end in mind.