how a section of course be quantitatibe

by Dr. Jesse Tillman IV 7 min read

The Quantitative Section consists of two questions types and these question types are interspersed with one another. The first is called problem-solving and this is just ordinary five-answer multiple choice. Now you have seen this on standardized test, maybe the ACT or the SAT.

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How do you write the methods section of a quantitative study?

By the end of this section, you will be able to compare effective note-taking strategies for quantitative courses against those for other courses. You will be able to identify strategies for reading quantitative texts. You will also learn how to i dentify math study strategies for before, during, and after taking quantitative classes.

What is on the Quantitative Reasoning section of the exam?

Learning Objectives. By the end of this section, you will be able to: Describe how personal attitudes toward quantitative courses can impact success. Compare effective note-taking strategies for quantitative courses against those for other courses. Identify strategies for reading quantitative texts.

What should be included in the introduction of a quantitative study?

Nov 16, 2021 · The Quantitative Reasoning section assesses basic mathematical skills, understanding of elementary math concepts, and the ability to reason quantitatively. First things first, don't worry, unless...

What are the parts of a quantitative research paper?

May 09, 2022 · The methods section of a quantitative study should describe how each objective of your study will be achieved. Be sure to provide enough detail to enable the reader can make an informed assessment of the methods being used to obtain results associated with the research problem. The methods section should be presented in the past tense.

What is considered a quantitative course?

Quantitative/Analytical courses are defined as courses which have either quantitative (numerical, geometric) or formal (deductive, probabilistic) reasoning as part of their primary subject matter, or make substantial use of such reasoning in practical problem solving critical evaluation, or analysis.

What are quantitative fields of study?

Quantitative research is widely used in psychology, economics, demography, sociology, marketing, community health, health & human development, gender studies, and political science; and less frequently in anthropology and history.

What are quantitative techniques?

Quantitative techniques may be defined as those techniques which provide the decision makes a systematic and powerful means of analysis, based on quantitative data. It is a scientific method employed for problem solving and decision making by the management.

What is quantitative method college?

Quantitative methods in education engages in the science and practice of educational measurement and evaluation, primarily through the development and application of statistical methods, informed by the study of teaching and learning statistics.

What is an example of an quantitative?

Quantitative is an adjective that simply means something that can be measured. For example, we can count the number of sheep on a farm or measure the gallons of milk produced by a cow. In a world of abstract findings that can't be quantified, such as anger or memories, it's important to be able to measure what we can.

What are the 5 types of quantitative research?

While reflecting upon the answers to the above questions, consider the main types of quantitative research design: descriptive, correlational, quasi-experimental and experimental.
  • Descriptive Quantitative Research Design. ...
  • Correlational Quantitative Research Design. ...
  • Quasi-Experimental Quantitative Research Design.
Dec 10, 2021

What are the 4 types of quantitative research methods?

There are four main types of Quantitative research: Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research.

What are the 7 steps in the quantitative analysis approach?

Terms in this set (7)
  • Method selection.
  • Sampling.
  • Solution preperation.
  • Sample pre treatment.
  • Analytical measurement.
  • calculation of the analytical result.
  • Statistical evaluation of the result.

What is quantitative analysis examples?

Examples of quantitative analysis include a company's financial data and marketing returns with statistical data on demographics. Financial Data: as already mentioned companies have a plethora of financial data and reports available to study. These include the cost of goods sold (COGS), gross profits and net profits.

How do you study quantitative methods?

Steps for Doing Quantitative Research
  1. Decide on a focus of study based primarily on your interests. ...
  2. Develop a research question(s) to keep your research focused.
  3. Develop a hypothesis(es). ...
  4. Collect data in order to test hypotheses.

What is quantitative methods PDF?

It involves the utilization and analysis of numerical data using specific statistical techniques to answer questions like who, how much, what, where, when, how many, and how. It also describes the methods of explaining an issue or phenomenon through gathering data in numerical form.Oct 12, 2017

What is a quantitative data?

Quantitative data are used when a researcher is trying to quantify a problem, or address the "what" or "how many" aspects of a research question. It is data that can either be counted or compared on a numeric scale.Mar 9, 2021

What is quantitative research?

Quantitative researchers believe there is an objective reality, which can be measured. "Objective" here means that the researcher is not relying on their own perceptions of an event. S/he is attempting to gather "facts" which may be separate from people's feeling or perceptions about the facts. These facts are often conceptualized as "causes" and "effects." When you ask research questions or pose hypotheses with words in them such as "cause," "effect," "difference between," and "predicts," you are operating under assumptions consistent with quantitative methods. The overall goal of quantitative research is to develop generalizations that enable the researcher to better predict, explain, and understand some phenomenon.

Why do students avoid quantitative research?

Students sometimes want to avoid doing quantitative research because of fear of math/statistics, but if their questions call for that type of research, they should forge ahead and use it anyway.

What is quantitative data collection?

The third method of quantitative data collection is the use of already-existing artifacts. With this method, you choose certain artifacts (e.g., newspaper or magazine articles; television programs; webpages) and code their content, resulting in a count of whatever you are studying. With this data collection method, researchers most often use what is called quantitative content analysis. Basically, the researcher counts frequencies of something that occurs in an artifact of study, such as the frequency of times something is mentioned on a webpage. Content analysis can also be used in qualitative research, where a researcher identifies and creates text-based themes but does not do a count of the occurrences of these themes. Content analysis can also be used to take open-ended questions from a survey method, and identify countable themes within the questions.

What is planning a study?

Planning your study is one of the most important steps in the research process when doing quantitative research. As seen in the diagram below, it involves choosing a topic, writing research questions/hypotheses, and designing your study. Each of these topics will be covered in detail in this section of the chapter.

What are the three types of studies?

There are three possible types of studies you may choose to do, when embarking on quantitative research: (a) True experiments, (b) quasi-experiments, and (c) non-experiments.

What is the third step in planning a research project?

The third step in planning your research project, after you have decided on your topic/goal and written your research questions/hypotheses, is to design your study which means to decide how to proceed in gathering data to answer your research question or to test your hypothesis.

What is the third type of question?

The third type of question is a relationship/association question or hypothesis , and will often have the word "relate" or "relationship" in it, as the following example does: "There is a relationship between number of television ads for a political candidate and how successful that political candidate is in getting elected." Here the independent (or predictor) variable is number of TV ads, and the dependent (or criterion) variable is the success at getting elected. In this type of question, there is no grouping being compared, but rather the independent variable is continuous (ranges from zero to a certain number) in nature. This type of question can be worded as either a hypothesis or as a research question, as stated earlier.

What is quantitative strategy?

In the past, when some people get a problem wrong, they might have thought that they just don’t have the ability to study math–that they’re not math people. But when you talk to professional mathematicians, the people who are best at math, it turns out that they work a long time on the same problem–and they only spend their ...

How to pass a math class?

Many students work hard in math classes—studying long hours, nights and weekends—yet many of them do so using ineffective strategies. Others simply withdraw effort soon after the course begins, or they make mistakes. To help you successfully complete your academic goals, we want you to both persist in your studying and attendance ( tenacity) and to do so efficiently and effectively ( good strategies ). This is called productive persistence. The next few pages of this course will help you develop a plan for how you can implement the idea of productive persistence as an effective way of passing a math course.

Why is it important to have neat papers?

Sometimes we need to try a homework problem over and over before we understand how to find a solution. In our hectic lives, it is important for us to allow ourselves time to reflect on the messy parts so we can tidy them up in our minds.

How does Greta prepare for class?

The last thing she wants to do is prepare for class when she gets home from work at night. Despite her exhaustion, she takes 15-20 minutes before bed to check the syllabus from her math class to see what topic will be covered in lecture the next day. She then finds the text material related to the lecture topic and quickly skims it, reading over the headings.

How to learn from your class?

Preparation. Prepare for your classes as you would practice for an upcoming athletic event. Know the topics you are going to cover, and make a goal of being current with your assignments . Learning is not passive, so if you want to learn from your class time, you must prepare yourself to learn.

What are Cornell notes?

Cornell notes —good old “C Notes”—can be helpful, but require some deeper thinking than you may be able to do on the fly during a lecture. Consider saving C notes for use while reading your textbook, instead. If you don’t understand something, write it down anyway and mark clearly that you have a question about it.

Do you need to change your note taking style in math?

There are many popular styles of note-taking and if you have one you prefer, there is no reason to change. If you want to explore more ideas that have worked well for other students in math courses, consider these:

What is the most basic sub-section of the GRE Quantitative Reasoning section?

Arithmetic . The most basic sub-section of the GRE Quantitative Reasoning section is comprised of questions that deal with only arithmetic. This should be a strong suit. After all, you've been performing arithmetic since the first days of school. Addition, subtraction, multiplication, and division are all covered here.

What is quantitative reasoning in GRE?

The Quantitative Reasoning section assesses basic mathematical skills, understanding of elementary math concepts, and the ability to reason quantitatively. First things first, don't worry, unless you are taking the GRE exam especially for math or physics, you probably won't see much college-level math. For business and economics students who are using the GRE, instead of a more specialized exam like the GMAT, that's a big relief. Of course, for some of us, high school might have been the last time we excelled in math. In that case, the GRE Quantitative Reasoning section could feel intimidating. Will this lesson put all those fears to rest and provide a thorough review of all the subject matter? Absolutely not. We've only got about five minutes. However, it will give you a good introduction to the material on the exam, allowing you to start your own study plan that will help you best address your weaknesses.

Can you take the GRE for math?

First things first, don't worry, unless you are taking the GRE exam especially for math or physics, you probably won't see much college-level math. For business and economics students who are using the GRE, instead of a more specialized exam like the GMAT, that's a big relief.

What should the methods section of a quantitative study describe?

The methods section of a quantitative study should describe how each objective of your study will be achieved. Be sure to provide enough detail to enable the reader can make an informed assessment of the methods being used to obtain results associated with the research problem.

What is the introduction of a quantitative study?

Introduction. The introduction to a quantitative study is usually written in the present tense and from the third person point of view. It covers the following information: Identifies the research problem -- as with any academic study, you must state clearly and concisely the research problem being investigated.

What is the goal of quantitative research?

Your goal in conducting quantitative research study is to determine the relationship between one thing [an independent variable] and another [a dependent or outcome variable] within a population. Quantitative research designs are either descriptive [subjects usually measured once] or experimental [subjects measured before and after a treatment]. A descriptive study establishes only associations between variables; an experimental study establishes causality.

Why is quantitative research important in social science?

Among the specific strengths of using quantitative methods to study social science research problems: Allows for a broader study, involving a greater number of subjects, and enhancing the generalization of the results; Allows for greater objectivity and accuracy of results.

When using pre-existing statistical data gathered and made available by anyone other than yourself, do you have to report

NOTE: When using pre-existing statistical data gathered and made available by anyone other than yourself [e.g., government agency], you still must report on the methods that were used to gather the data and describe any missing data that exists and , if there is any, provide a clear explanation why the missing data does not undermine the validity of your final analysis.

What is descriptive research?

A descriptive study establishes only associations between variables; an experimental study establishes causality. Quantitative research deals in numbers, logic, and an objective stance.

What is the basic research design for quantitative studies?

Basic Research Design for Quantitative Studies. Before designing a quantitative research study, you must decide whether it will be descriptive or experimental because this will dictate how you gather, analyze, and interpret the results.

What is the overarching aim of a quantitative research study?

The overarching aim of a quantitative research study is to classify features, count them, and construct statistical models in an attempt to explain what is observed.

What is descriptive study?

A descriptive study is governed by the following rules: subjects are generally measured once; the intention is to only establish associations between variables; and, the study may include a sample population of hundreds or thousands of subjects to ensure that a valid estimate of a generalized relationship between variables has been obtained.

What are the characteristics of quantitative research?

In quantitative research, your goal is to determine the relationship between one thing (an independent variable) and another (a dependent or outcome variable) in a population. Quantitative research designs are either descriptive (subjects usually measured once) or experimental ...

What is quantitative research?

Quantitative research deals in numbers, logic and the objective, focusing on logic, numbers, and unchanging static data and detailed, convergent reasoning rather than divergent reasoning. The data is usually gathered using more structured research instruments. The results are based on larger sample sizes that are representative of the population.

What is summary of findings?

Summary of findings – synthesize the answers to your research questions. Do not report any statistical data here; just provide a narrative summary of the key findings and describe what learned that you did not know before conducting your study.

What is a limitation in a study?

Limitations -- describe any limitations or unavoidable bias in your study and, if necessary, note why these limitations did not inhibit effective interpretation of the results. Conclusion. End your study by to summarizing the topic and provide a final comment and assessment of the study.

What are the basic concepts for the GMAT?

1. Review math basics. The main math concepts tested on the GMAT are relatively simple – arithmetic, algebra, geometry – but you probably haven’t studied them since high school. Your GMAT prep will get nowhere if you don’t first review basic concepts in these three areas.

How to evaluate statements?

Evaluate the statements one at a time: Check out the first statement, and cover up the second statement if you have to. If you determine that the first statement is sufficient, then you can knock off the second, third, and fifth answer choices.

What is the most difficult part of the GMAT?

Many people agree that one of the most difficult things about the GMAT Quantitative section are the Data Sufficiency questions. You’ve likely never seen questions like these before. They take a little getting used to, but the more you practice them, the easier they become.

What to do if you have trouble with geometry questions?

If you are having trouble with geometry questions about angles, you need to practice geometry questions about angles. Work on as many questions like this as you can find.

Is the quantitative section of the GMAT enough?

The GMAT Quantitative section is enough to make any MBA cringe. But data sufficiency and other GMAT math problems can easily be overcome with these GMAT prep tricks from Varsity Tutors. Oh, the Quantitative section of the GMAT. It’s enough to make the most numbers-happy MBA cringe.

Do you need to take math on the GMAT?

Obviously, there are many mathematical topics that you need to understand in order to score well on the Quant section of the GMAT – but taking GMAT practice tests is just as important in order to achieve this.

Do spreadsheets help you prepare for business school?

In fact, creating a spreadsheet will do more to prepare you for business school than anything that the GMAT tests!

How to collect quantitative data?

Another way to collect quantitative data is through questionnaires and surveys. Nowadays, it’s easy to create a survey and distribute it online—with tools like Typeform, SurveyMonkey, and Qualtrics, practically anyone can collect quantitative data. Surveys are a useful tool for gathering customer or user feedback, and generally finding out how people feel about certain products or services. To make sure you gather quantitative data from your surveys, it’s important that you ask respondents to quantify their feelings—for example, asking them to rate their satisfaction on a scale of one to ten.

What is the difference between qualitative and quantitative data?

But, to summarize, the differences between quantitative and qualitative data are as follows: Quantitative data is countable or measurable, relating to numbers; qualitative data is descriptive, relating to words. Quantitative data lends itself to statistical analysis; qualitative data is grouped and categorized according to themes.

What is discrete data?

Discrete data is quantitative data that can only take on certain numerical values. These values are fixed and cannot be broken down. When you count something, you get discrete data. For example, if a person has three children, this is an example of discrete data. The number of children is fixed—it’s not possible for them to have, say, 3.2 children. Another example of discrete quantitative data could be the number of visits to your website; you could have 150 visits in one day, but not 150.6 visits. Discrete data is usually visualized using tally charts, bar charts, and pie charts.

Why is quantitative data important?

The main advantages of working with quantitative data are as follows: Quantitative data is relatively quick and easy to collect, allowing you to gather a large sample size. And, the larger your sample size, the more accurate your conclusions are likely to be . Quantitative data is less susceptible to bias.

What are some examples of quantitative data?

Examples of quantitative data include numerical values such as measurements, cost, and weight; examples of qualitative data include descriptions (or labels) of certain attributes, such as “brown eyes” or “vanilla flavored ice cream”. Now we know the difference between the two, let’s get back to quantitative data.

What is continuous data?

Continuous data, on the other hand, can be infinitely broken down into smaller parts. This type of quantitative data can be placed on a measurement scale; for example, the length of a piece of string in centimeters, or the temperature in degrees Celsius. Essentially, continuous data can take any value; it’s not limited to fixed values. What’s more, continuous data can also fluctuate over time—the room temperature will vary throughout the day, for example. Continuous data is usually represented using a line graph.

Can qualitative data be used for statistical analysis?

Qualitative data cannot be used for statistical analysis; to make sense of such data, researchers and analysts will instead try to identify meaningful groups and themes.

When to use quantitative reasoning?

This process can be used for any type of problem, but the quantitative reasoning comes in at steps two and three when we devise a plan and carry it out. Knowing how to identify the relationships among the quantities in the problem and connect those relationships to appropriate operations is quantitative reasoning at its finest. Consider another example.

What does it mean to enroll in a course?

Enrolling in a course lets you earn progress by passing quizzes and exams.

Do you have to be a Study.com member to unlock this lesson?

To unlock this lesson you must be a Study.com Member.

Do standardized tests have quantitative reasoning?

Many standardized tests have a quantitative reasoning section. Tackling these types of problems can be done using a number of strategies. First and foremost, when dealing with any type of quantitative reasoning problem, it's a good idea to have a plan.

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Topic Choice

  • Decide on Topic
    How do you go about choosing a topic for a research project? One of the best ways to do this is to research something about which you would like to know more. Your communication professors will probably also want you to select something that is related to communication and things yo…
  • Review Previous Research
    In quantitative research, you do not rely on your conclusions to emerge from the data you collect. Rather, you start out looking for certain things based on what the past research has found. This is consistent with what was called in chapter 2 as a deductive approach (Keyton, 2011), which als…
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Data Collection Methods

  • Once you decide the type of quantitative research design you will be using, you will need to determine which of the following types of data you will collect: (a) survey data, (b) observational data, and/or (c) already existing data, as in library research. Using the survey data collection method means you will talk to people or survey them about their behaviors, attitudes, perception…
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Operationalization of Variables Into Measurable Concepts

  • When you look at your research question/s and/or hypotheses, you should know already what your independent and dependent variables are. Both of these need to be measured in some way. We call that way of measuring operationalizinga variable. One way to think of it is writing a step by step recipe for how you plan to obtain data on this topic. How you choose to operationalize you…
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Sampling

  • One of the things you might have critiqued in the previous self-quiz/discussion may have had less to do with the actual survey itself, but rather with how the researchers got their participants or sample. How participants are recruited is just as important to doing a good study as how valid and reliable a survey is. Imagine that in the article you chose for the last "self-quiz/discussion" yo…
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