Final year students have been analyzing both quantitative and qualitative research data over the past few weeks. Share the challenges you experience in presenting and interpreting such data.
Third year students are required share their understanding of qualitative and quantitative data sources and give examples.
Your response should be in 3 -5 sentences.
Bethlehem Moravian College 
A qualitative data is using indefinite questions and interviews allow researchers to understand how individuals are doing, what their experiences are? etc. It also represented by a name, symbol, or a number code. (E.g., what type). What is your occupation? ‘Teacher’. Whereas in a quantitative data it uses survey methods across a large group of individuals enables generalization. ? It also counts and are expressed as numbers. (E.g. how many; how much). How many shoes do you have? ‘100’
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While examining my qualitative and quantitative data the biggest challenge that I have experienced is presenting the data which I have collected in a manner that conforms to the rules given to us. For example we are given a maximum requirement of thirty five pages to present our complete work, for me it has posed a challenge, as based on my research questions I have to choose two different means of presenting my data. Therefore by doing this I have already maxed my limit of having thirty five pages at the end of chapter four.
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In presenting my quantitative and qualitative data over the past weeks has been quite a challenge in some cases. There wasn’t much challenge in presenting the quantitative data. I used my knowledge from assessment in education class and also from high school to calculate the different things that is required and creating the graphs. In working with the qualitative data, this posed some challenges as I was unsure of how to really represent this data especially to code the information. I am seeking assistance before I can move forward. I hope this week will be better in term of getting more work done in relation to research.
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In collecting my quantitative data is not much of a challenge as it deal with numbers and also straight forward. Thus,in collecting the qualitative data is very challenging for me as to how to present the information. In attending the lecture sessions i have gather the information as how to present it but i am still unable to because i am not certain of how to code the information. Hence, i will read up more on coding and get help from others who understand it.
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In the presenting and analyzing of my quantitative and qualitative data I came across various challenges some of which I overcame and others which I am still facing.At first I had no idea on how to present and analyze my quantitative data ,however upon explanation I was able to to present and analyze it.However in terms of the qualitative data I have received information of the different ways on how it can be presented and analyzed such as coding,However I am yet to transfer this information into the presentation of my qualitative data .Even though I am aware of the different ways , I still do not understand how to get it done. Therefore I am presently in the process of getting the necessary assistance.
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Qualitative research is referred to as an explanatory research that facilitates participants opinion. It allows researchers to find out in detail about problems and in my own terms it can be used to develop ideas for quantitative research. For example, interview/observation – what are some of the major concerns of the teachers?
Qualitative research is used in gathering numerical or statistic data for problems in a research. it is used to measure behaviour, attitudes and other identified variables to simplify data to show results from large populations. For example, online or face-to-face interviews. how often does the garbage truck come to the school?
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Quantitative research, as the name suggests, has to do with the placement or the assigning of numerical values to information obtained from a particular research, for example: calculating statistics and using numerical graphs to represent data/information. Qualitative research on the other hand is more concerned with the analyzing and interpreting of data, for example: definition and concepts. Both research methods are effective, but one must be selective when choosing the methods according to the research being conducted.
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In using both qualitative and quantitative data over the past six week, I felt like stopping all together, however, I remember that in doing research it is necessary to present your finding on the topic selected so that others can benefit from it and as such develop or use the recommended strategies or activities that you have used. There are times when I switch between both of them deciding whether or not it is suitable to present the data but then in look at the research questions as well as the guided responses and advice from my research teacher and supervisor, I am able to complete what is required of me. It does matter which data you use to present your data as there are some data that cannot be represented using tables, charts and graphs where you are using statistic to represent that data or quantitative data. On the other hand, when the data cannot be represented using quantitative data then qualitative is used which in this case is narrative in nature where you discuss your finding as if you are writing a report. Therefore, the type of data you use will be based on what research question you are answering as well as the data collection instrument must be taken into account.
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In presenting my quantitative and qualitative research data over the past week was a bit challenging. The quantitative data however, was not very challenging because I used my knowledge from high school to calculate the mean, mode and median and also to create the graphs. In presenting and interpreting the qualitative data it was very challenging because I was confused as to how to do the coding and to put the data in themes, but by asking questions I was assisted and get a better understanding.
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Qualitative research is the means by which the researcher collects data by analyzing and interpreting what and individual says through observing. Examples include interviews and focus groups.
Quantitative research is where researcher’s findings can be expressed numerically (open to mathematical manipulation)
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Qualitative as wall as quantitative research have the benefits. Qualitative research involves the researcher garnering data by evaluating and presenting what he/she has found, examples of qualitative research includes: interviews and questionnaires. On the other hand quantitative research is basically a method where the researcher tries to present hard and conclusive evidence, in other words the researcher focuses more on statistics while carrying out this research.
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A qualitative data source is used to collect data through description. The data can be observed and not measured. Examples of qualitative data sources are interviews, observations. However, a quantitative data source is used to collect data through numbers. The data can be measured and analyze through numerical representations such as questionnaires, checklist.
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Qualitative research is designed to reveal a target audience’s range of behavior and the perceptions that drive it with reference to specific topics or issues. qualitative research is uses in-depth studies of small groups of students to guide and support the construction of hypotheses. The results of qualitative research are descriptive rather than predictive.
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Initially we were informed that the research process would be very challenging. Hence, I conditioned my mind to deal with any difficulty that I might encounter. Fortunately, I was also assigned to a supervisor who is well equipped with the relevant knowledge to guide me throughout the process. Consequently, I have not encountered any real challenge in presenting and interpreting my data thus far.
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Quantitative research is concern with questions about how much?, how many?,how often?, yo what extent?. Eg quantitative research collect numerical data in order to explain, predict etc. Qualitative research is concern with finding answers to questions which begins with why? How? , in what way?, qualitative research collects data consisting of mostly words ,pictures,observations of events etc.
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Quantitative data can be expressed as a number an it can be measured. Examples of quantitative data are scores on achievement tests or number of hours of study. These data may be represented by ordinal, interval or ratio scales and lend themselves to most statistical manipulation.
Qualitative data cannot be expressed as a number. This data can be observed but not measured.
Both types of data are valid types of measurement, and both are used in education journals. Only quantitative data can be analyzed statistically, and thus more rigorous assessments of the data are possible.
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Qualitative research is research that focuses on feelings, attitudes, behaviours, opinions and give detailed explanations or reasons for a problem or concern. A quantitative research on the other hand focuses on numbers, statistics and the analyses of these statistics. In other words a qualitative research uses pictures and words while a quantitative research uses numbers.
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To present my qualitative and quantitative data has being a challenge for me. To present the quantitative data was a not so much of a challenge because I had the basic understanding for doing the course Assessment in Education. I still sought additional help from my lecturer and also my classmates. Analyzing the qualitative data is posing the biggest challenge at this moment. Am stilling trying to understand the whole idea of coding and getting themes from my qualitative data. I believe that I will be able to complete this chapter and to move on to the next chapter with the help of my lecturer, classmate and God.
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Qualitative and Quantitative research are said to be the backbone of an effective research. Thus, these two terms help to raise the ethos of the presentation of data. Qualitative research is a situated activity that locates the observer in the world. It consists of a set of interpretive, material practices that makes the world visible. For example, these practices … turn the world into a series of representations including field notes, interviews, conversations, photographs, recordings and memos to the self. While on the other hand, Quantitative research is therefore seen as more representative and reliable. Its emphasis on systematic statistical analysis helps to ensure that findings and interpretations are robust. Quantitative research employs the language of numbers, the syntax of mathematical operations and represents data in numerical values. For example, data can be measured and analyze through numerical representations such as questionnaires, checklist.
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Qualitative data is concerned with understanding human behaviour from the informant perspective. The data is collected through participant observations and interviews. Example (observations and interviews) While quantitative data is concerned with discovering facts about social phenomenon, the data is collected through measurable designs and is analysed through numerical comparisons and statistical inference. Example (experiments and testings) Qualitative and quantitative research are the foundation upon which quality research are build.
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Based on what I have read from several different articles, qualitative research pretty much has to do with text (explanation), it involves data that cannot be easily converted to numbers. Such data is usually obtained by interviews and/or observations. While quantitative data have to do with numbers (statistics). Examples of quantitative data sources are questionnaires and survey.
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Qualitative data is more subjective and include in-depth interviews, and reviews of documents for types of themes. It is more subjective and describes a problem or condition from the point of view of those experiencing it. It is text based and gives more in-depth information. A qualitative data source is used to collect data through description and data can be observed and not measured. Two examples of qualitative data sources are observations and interviews whereas quantitative data is more objective. It provides observed effects (interpreted by researchers) of a program on a problem or condition. It is number based and data source is used to collect data through numbers. Statistical tests are also used for analysis. Two examples are questionnaires and checklist.
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The major challenges that I am facing with the analysis of qualitative and quantitative data include:
Deficiencies in aligning the research questions with the data instruments, since most of the questions or items that were administered during the research process were divorced from the R.Q.
Qualitative data tends to be more challenging to interpret than quantitative data, since the researcher has to take on the role of a guru interpreter when the respondents views or responses to items are not clearly articulated.
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With the numerous amount of rules that are associated with presenting our qualitative and quantitative data, it has made it a bit challenging. However, using these rules as a guide has helped me in presenting my data in an acceptable manner. Also, there are new concepts which have been introduced such as coding which has has been making interpreting my qualitative data a challenge. However by working with my supervisor, I hope to get a clearer understanding of these concepts, so that my data analysis can be meaningful.
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Since I’v started my research paper, strangely this has been my most challenging section. I have alot of data but I do not know how to represent the data that I have collected to match my research questions. The qualitative data collection may have been easier to collect than it is to represent.
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My major problem is laying out the data i have collected in an orderly manner. Like many other researchers, i have a lot of data but how is it that i go about calculating the data so i can start representing them, i am not clueless but i am having difficulties. For the qualitative data collection section of my research, coding the data is my greatest difficulty. I have to be spending hours, trying to make sense of the data i have and ensuring that i code them properly.
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Quantitative research is a study involving the use and analyses of numerical data using
statistical techniques. It designed to produce statistically reliable data that
tells us how many people do or think something. Quantitative data typically is in
numerical form such as averages, ratios or ranges. As for Qualitative research it is been said that this method is designed to reveal a target audience’s range of behavior and the perceptions that drive it with reference to specific topics or issues. It uses in-depth studies of small groups of people to guide and support the construction of hypotheses. in collecting effective Qualitative and and Quantitative research for the course Research Methods, I find both research methods a bit challenging to design questions for each and model resourceful information for the following methods. However, with the help of guidelines that given in class about each research method i can develop a better understanding of how to conduct effective information using both the qualitative research and quantitative research.
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A qualitative approach is one in which the inquirer often makes knowledge claims based primarily on constructivist perspectives. Example: the multiple meanings of individual experiences, meanings socially and historically constructed. With an intent of developing a theory or pattern. A quantitative approach is one in which the investigator primarily uses post positivist claims for developing knowledge. Example cause and effect thinking, reduction to specific variables and hypotheses and questions, use of measurement and observation, and the test of theories. Creswell (2003). In the qualitative data source you are required to get constructive multiple means of information, it has to do with a lot of writing and thinking and expanding your knowledge or understanding of any given information. While quantitative data source require you to guess and ask more questions this type of information require you to work with numbers.
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Qualitative research gather information that is not in arithmetic form. For example, diary accounts, open-ended questionnaires, unstructured interviews and unstructured observations. Qualitative data is usually graphic data and as such is harder to evaluate than quantitative data.
Quantitative research gathers data in arithmetic form which can be put into categories, or in rank order, or measured in units of measurement. This type of data can be used to construct graphs and tables of raw data.
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Qualitative data source deals with phenomena that are difficult or impossible to quantify mathematically. For example interviews and observations. Quantitative data source refers to the collection of numerical data, which can be presented on graphs etc.
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Qualitative data consist of words and narratives. The analysis of qualitative data can come in many forms including highlighting key words, extracting themes, and elaborating on concepts. Some examples of qualitative data are the softness of your skin, the grace with which you run, and the color of your eyes. Quantitative data are numerical information and the analysis involves statistical techniques. The type of data you collect guides the analysis process. Some examples of quantitative data are your height, your shoe size, and the length of your fingernails.
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Aliaga and Gunderson (2000), Quantitative research is ‘Explaining phenomena by collecting numerical data that are analyzed using mathematically based methods (in particular statistics)’. Quantitative research is about asking people for their opinions in a structured way so that you can produce hard facts and statistics to guide you. example how many?, what?, while qualitative research is the collection and analysis and interpretation of comprehensive narrative and visual ie nonnumerical data to gain insight into a particular phenomenon of interest example Why?, how?
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A qualitative data source has to do with text and theses data are collected by interviews and observation, while quantitative is use to collect data with the use of numerical(statistics) also checklist is used.
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Qualitative data is concerned with practice and process rather than outcomes. It focuses on participants’ perceptions and experiences and the way they make sense of their lives. Qualitative data is text based, gives in -depth information and is subjective. Examples of qualitative data include observation and interviews. While quantitative data focuses on gathering numerical data and generalizing it across groups of people or to explain a particular phenomenon; it is objective and aimed at using statistics to gather information. Examples of quantitative data include questionnaires and checklist.
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Over the past weeks, my experience with presenting and analyzing qualitative and quantitative data has been quite interesting. Presenting the data was quite easy as previous knowledge on presenting data using charts, graphs and tables came in handy in that section. The analysis of the two types of data is what posed a problem at the initial stage as I was not too sure of how the analysis of qualitative as opposed to quantitative data should be different, apart from the fact that the analysis of one would involve numbers and the other would involve narrative discussion. Mrs. Bogle, however, did a great job at highlighting the distinctions both in lecture sessions and at our tutorial sessions and for that I am deeply appreciative.
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Based on what I have read from several different articles, qualitative research pretty much has to do with words (explanation), it involves data that cannot be easily converted to numbers. Such data is usually obtained by interviews and/or observations. While quantitative data has to do with numbers (statistics). One common data source often used in quantitative research is questionnaire.
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Between qualitative and quantitative data, for me I find that qualitative data is more challenging in representing than the quantitative. I find that even though there might be some similarities between them you are not expected to represent both data in the same way. I did further reading about this and now I can better represent my data.
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One of the main challenges I faced when analyzing and presenting my qualitative and quantitative data is actually getting my information in black and white. I conducted addition research and I am slowly realizing how to follow the rules and present my information in an appropriate manner. It was difficult to digest the information coming at me so fast, it seemed as if there was not enough time to soak up the information.
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Qualitative is exploratory research. It is used to gain an understanding of underlying reasons. It provides insights into the problem or helps to develop ideas or hypotheses for potential quantitative. Examples of qualitative is open-ended questionnaires and interviews. Quantitative Research is used to quantify the problem by way of generating numerical data or data that can be transformed into useable statistics. It is used to quantify attitudes, opinions,
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In presenting my quantitative and qualitative data over the past weeks has been quite a challenge. Presenting my quantitative data was not much challenge for me, because it deals with numbers and I use my knowledge from previous courses that related in finding means, mode, standard deviation and presenting graphs, tables etc. but interpreting and analyzing the qualitative data is posing a challenge as I am unsure of how to really represent this data especially to put the data in themes and the coding of information
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My major challenge is analyzing my qualitative data because of my limited knowledge about themes and coding in the qualitative data analysis.
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Quantitative data are anything that can be expressed as a number, or quantified. Examples of quantitative data are scores on achievement tests,number of hours of study, or weight of a subject. These data may be represented by ordinal, interval or ratio scales and lend themselves to most statistical manipulation.
Qualitative data cannot be expressed as a number. Data that represent nominal scales such as gender, socio economic status, religious preference are usually considered to be qualitative data along with opinions shared by other individuals.
Both types of data are valid types of measurement, and both are used in education journals. Only quantitative data can be analyzed statistically, and thus more rigorous assessments of the data are possible.
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My understanding of qualitative and quantitative data sources is that qualitative data sources is information about qualities; information that can’t actually be measured data source whereas quantitative data source is information about quantities; that is, information that can be measured and written down with numbers. Examples of qualitative sources are interviews, case studies and questionnaire. Tables, graphical displays and summary statistics are all examples of quantitative data sources.
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My biggest challenge was first interpreting the data and then to write it in such a way that conforms to what was expected. However, the quantitative data was not that hard to analyze as the qualitative data. Another challenge was also trying to limit that amount of words in the report.
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Gunderson (2000),stated that quantitative research is ‘explaining phenomena by collecting numerical data that are analyzed using mathematically based methods in particular statistics.Quantitative research plan is highly design that is all aspect of the study are carefully planned before the collection of data. it is more objective. Surveys can be used to collect information.
Qualitative research methods focus on discovering and understanding the experiences, perspectives, and thoughts of participants. Data are collected in the form of interview, observation and audio visual material. The research normally ask open ended questions. Qualitative research is more subjective.
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Qualitative data sources are determined by open-ended questions and document data. Hence, data that is purely worded will be analysed by qualitative method.
Quantitative data sources are predetermined instrument based question and performance data. Therefore, the statistical analysis of data will use the quantitative data.
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Quantitative research method is an emphasis on collecting scores that measure distinct attributes of individuals and organizations,Quantitative research tend to involve the use of instruments such as questionnaires, rating scales and test that yields numerical data, or data that can be quantified. While qualitative research method typically involves the collection of large quantities of narrative data, usually by interviews, field notes from observations or textual data from documents, photographs, diaries and journals.
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Quantitative and Quantitative work hand in hand; the research will be more effective when both are used to carry out credible results.
Quantitative concerned with discovering facts about social phenomena, assumes a fixed and measurable reality. Data are collected through measuring things; data are also analyzed through numerical comparison and statistical inferences. Data are reported through statistical analyses. Whereas Qualitative concerned with understanding human behavior from the informant’s perspective. Assumes a dynamic and negotiated reality, data are collected through participant observation and interviews. Data are analyzed by themes from description and interviews. Data are reported in language of the informant.
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Qualitative data is the understanding of human behavior from a more informed perspective. The data is collected through participant observations and interviews. Quantitative data is concerned with discovering facts about social phenomenon, the data is collected through measurable designs and is analysed through numerical comparisons and statistical inference. Both data are very important in compiling a well compacted research.
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