Making Intelligent guesses and Instruments used to collect data

 UNIT-4

Research Skills

C. Making Intelligent guesses

D. Instruments used to collect data

 

Making Intelligent guesses

Intelligent guessing is choosing or providing an answer to a question without complete and sufficient information or certainty. Guessing is when logic and information don't provide sufficient insight to answer a question completely.

 

A well-informed guess or estimate based on experience or theoretical knowledge.

Educated Guess 

Estimation

Estimate

 

Intelligent guessing needs additional context-generated information or theories of guessing to reduce the solution space or find more likely or better solutions. Intelligent guessing is choosing or providing an answer to a question without complete and sufficient information or certainty.

Guessing is when logic and information don't provide sufficient insight to answer a question completely.

 

Questions and answers can be set up that oppose the rules of intelligent context-based guessing.

Probability theory is one of the approach for facilitate intelligent guessing.

The language of guessing and the psychology of guessing are some of the other approaches for facilitating intelligent guessing.

Neural networks combine information about multiple variables to solve several guessing situations.

An integrated theory of intelligent guessing could solve any problem and provide an organizing theme for research performed under AI.

 

Is guessing related to research?

The new research on guessing finds that you're more likely to recall the correct answer in the first scenario, in which you initially guessed wrong. ... The guessing process leads to superior memory for the word pairs than simply studying them, even when the guessing is wrong.

Somehow, the very idea of guessing as a problem-solving strategy raises some eyebrows. Indeed, many of us can recall a teacher saying to someone who had volunteered an unusual answer, “Do you know, or are you just guessing?” In some books, this method of guessing and testing is sometimes referred to as the method of “trial and error,” which is sometimes considered a more negative expression.

The added adjective, intelligent guessing and testing should put your mind at ease, and reassure you that this is, indeed, a viable, and even an often useful strategy…

 

Intelligent Guessing – UPSC Civil Services Prelims

Background

The conventional guessing techniques, that most aspirants are familiar with, are based on:

Pure option-based elimination, when options are designed so that even a single easy/incorrect statement leads you to the right answer.

Statement based elimination, when you encounter extreme (such as ‘only’, ‘completely’, ‘always’ etc) or partially correct statements.

Half sure guesses, that are based on partial knowledge of the matter

Intuition/Hunch, when you feel that you know the right answer

Pure guess work, when you cannot resort to any of the above

In the real exam, you should ideally attempt 90-95 questions. Unless you are really sure of all the questions you have marked, any attempt less than that might leave you lingering uncomfortably around the cut-off. 

Usually, you would end up marking 40-50 questions with full confidence, 15-20 with elimination (as stated above), and some 10-15 with guess work. Taking the upper and lower limits, you would end up marking anywhere between 65-85 questions and then you are clueless how to proceed further because you still need to reach that 90-95 mark to conclude with confidence.

 

This is where you need to make intelligent guesses.

Introduction

Most objective type tests can be hacked if you observe the examiner carefully and outsmart her/his way of thinking. Those who attempt more and more UPSC papers somehow start noticing these hacks, and tend to score little better than others with that much-needed difference in the final exam.

But, one may not understand these hacks if one hasn’t been on the other side of the table, that of the examiner. There is something that we, at INSIGHTS, have consistently observed over almost half a decade now after looking at over hundreds of UPSC’s papers (CSP, CDS, CAPF etc.) and designing over a hundred similar papers. 

A peculiar trend is observed across most UPSC papers, that is the key to our hack.

We have observed that the examiners at UPSC are, arguably, generalists, rather than specialists or experts; not all, but definitely a significant number.

 

This means that, often, they might not know a subject matter as well as experts do, and therefore, rely heavily on published sources such as official websites, books and articles on the internet.

When this is the case, framing a question becomes tricky because statements can be devised only based on the available information in the sources rather than the complete subject knowledge of the examiner. The major difficulty experienced by an examiner is, therefore, in devising wrong statements that somehow appear deceivingly correct.

 

For an examiner to declare a statement as wrong requires him to know several concepts/theories/ facts related to the question. It is not that he may not know these, but at times this is very difficult when for instance, statements of historical relevance are to be refuted, one needs to know all the historical grounds associated with that issue (explained in the Vijyanagara tax example below).

This makes their questions vulnerable to intelligent guessing and leads us to the key principle of our intelligent guess – “it is difficult to devise wrong statements”.

Below, we take some of the past year questions of CSP that may seem difficult in first go, but are a cakewalk if you apply this principle consistently. We have categorized them based on the corollaries of this principle. 

 

Instruments used to collect data

What is Data Collection?

Data collection is a methodical process of gathering and analyzing specific information to proffer solutions to relevant questions and evaluate the results. It focuses on finding out all there is to a particular subject matter. Data is collected to be further subjected to hypothesis testing which seeks to explain a phenomenon.

Hypothesis testing eliminates assumptions while making a proposition from the basis of reason.

 

 

 

What is a Research Instrument?

A Research Instrument is a tool used to collect, measure, and analyze data related to your research interests. These tools are most commonly used in health sciences, social sciences, and education to assess patients, clients, students, teachers, staff, etc.

A research instrument can include interviews, tests, surveys, or checklists.

The Research Instrument is usually determined by researcher and is tied to the study methodology.

 

Choosing a Research Instrument

1. Select a topic

2. Formulate a thesis statement

3. Choose the types of analyses

4. Research and write a literature review

5. Formulate the research questions

6. Conceptualize a topic, refine thesis

7. Choose research method and research instrument

8. Operationalize concepts construct instruments

9. Formulate the data collection strategy

10. Perform a pilot study

11. Collect data

12. Prepare the data for processing & analysis

13. Process & analyze data

14. Interpret & make inferences about data

15. Write the research paper

16. Publish data

 

The following list is an example of the steps to complete a research project. Choosing a Research Instrument is done after conceptualization and the units of analysis have been chosen, and before operationalizing concepts construct instruments:

 

What is Data Collection Instruments

The tools used by researchers to actually collect data in the research process. The common data collection instruments in research include interviews, questionnaires, documentary analysis and observation

Instrument used to collect data in research

“Data-collection instruments” means tests, questionnaires, inventories, interview schedules or guides, rating scales, and survey plans or any other forms which are used to collect information on substantially identical items from 10 or more respondents.

Case Studies, Checklists, Interviews, Observation sometimes, and Surveys or Questionnaires are all tools used to collect data.

 

Characteristics of a Good Research Instrument

     Valid and reliable

     Based on a conceptual framework, or the researcher's understanding of how the particular variables in the study connect with each other

     Must gather data suitable for and relevant to the research topic

     Able to test hypothesis and/or answer proposed research questions under investigation

     Free of bias and appropriate for the context, culture, and diversity of the study site

     Contains clear and definite instructions to use the instrument

 

7 Data Collection Methods & Tools for Research

The underlying need for Data collection is to capture quality evidence that seeks to answer all the questions that have been posed. Through data collection businesses or management can deduce quality information that is a prerequisite for making informed decisions.

To improve the quality of information, it is expedient that data is collected so that you can draw inferences and make informed decisions on what is considered factual.

At the end of this article, you would understand why picking the best data collection method is necessary for achieving your set objective. 

 

What is Data Collection?

Data collection is a methodical process of gathering and analyzing specific information to proffer solutions to relevant questions and evaluate the results. It focuses on finding out all there is to a particular subject matter. Data is collected to be further subjected to hypothesis testing which seeks to explain a phenomenon.

Hypothesis testing eliminates assumptions while making a proposition from the basis of reason.

For collectors of data, there is a range of outcomes for which the data is collected. But the key purpose for which data is collected is to put a researcher in a vantage position to make predictions about future probabilities and trends.

The core forms in which data can be collected are primary and secondary data. While the former is collected by a researcher through first-hand sources, the latter is collected by an individual other than the user. 

 

Types of Data Collection 

Before broaching the subject of the various types of data collection. It is pertinent to note that data collection in itself falls under two broad categories; Primary data collection and secondary data collection.

 

Primary Data Collection

Primary data collection by definition is the gathering of raw data collected at the source. It is a process of collecting the original data collected by a researcher for a specific research purpose. It could be further analyzed into two segments; qualitative research and quantitative data collection methods. 

Qualitative Research Method 

The qualitative research methods of data collection do not involve the collection of data that involves numbers or a need to be deduced through a mathematical calculation, rather it is based on the non-quantifiable elements like the feeling or emotion of the researcher. An example of such a method is an open-ended questionnaire.

Quantitative Method

Quantitative methods are presented in numbers and require a mathematical calculation to deduce. An example would be the use of a questionnaire with close-ended questions to arrive at figures to be calculated Mathematically. Also, methods of correlation and regression, mean, mode and median.

Secondary Data Collection

Secondary data collection, on the other hand, is referred to as the gathering of second-hand data collected by an individual who is not the original user. It is the process of collecting data that is already existing, be it already published books, journals, and/or online portals. In terms of ease, it is much less expensive and easier to collect.

Your choice between Primary data collection and secondary data collection depends on the nature, scope, and area of your research as well as its aims and objectives. 

 

IMPORTANCE OF DATA COLLECTION

There are a bunch of underlying reasons for collecting data, especially for a researcher. Walking you through them, here are a few reasons; 

 

Integrity of the Research

A key reason for collecting data, be it through quantitative or qualitative methods is to ensure that the integrity of the research question is indeed maintained.

 

Reduce the likelihood of errors

The correct use of appropriate data collection of methods reduces the likelihood of errors consistent with the results. 

 

Decision Making

To minimize the risk of errors in decision-making, it is important that accurate data is collected so that the researcher doesn't make uninformed decisions. 

 

Save Cost and Time

Data collection saves the researcher time and funds that would otherwise be misspent without a deeper understanding of the topic or subject matter.

 

To support a need for a new idea, change, and/or innovation

To prove the need for a change in the norm or the introduction of new information that will be widely accepted, it is important to collect data as evidence to support these claims.

 

 

 

What is a Data Collection Tool?

Data collection tools refer to the devices/instruments used to collect data, such as a paper questionnaire or computer-assisted interviewing system. Case Studies, Checklists, Interviews, Observation sometimes, and Surveys or Questionnaires are all tools used to collect data.

It is important to decide the tools for data collection because research is carried out in different ways and for different purposes.

 

The objective behind data collection is to capture quality evidence that allows analysis to lead to the formulation of convincing and credible answers to the posed questions.

The objective behind data collection is to capture quality evidence that allows analysis to lead to the formulation of convincing and credible answers to the questions that have been posed -

 

The Formplus’ online data collection tool is perfect for gathering primary data, i.e. raw data collected from the source. You can easily get data with at least three data collection methods with our online and offline data gathering tool. I.e Online Questionnaires, Focus Groups, and Reporting. 

 

Here are 7 top data collection methods and tools for Academic, Opinion or Product Research

The following are the top 7 data collection methods for Academic, Opinion-based or product research. Also discussed in detail is the nature, pros and cons of each one. At the end of this segment, you will be best informed about which method best suits your research. 

 

INTERVIEW

An interview is a face-to-face conversation between two individuals with the sole purpose of collecting relevant information to satisfy a research purpose. Interviews are of different types namely; Structured, Semi-structured, and unstructured with each having a slight variation from the other.

Use this interview consent form template to let an interviewee give you consent to use data gotten from your interviews for investigative research purposes.

 

Structured Interviews - Simply put, it is a verbally administered questionnaire. In terms of depth, it is surface level and is usually completed within a short period. For speed and efficiency, it is highly recommendable, but it lacks depth. 

 

Semi-structured Interviews - In this method, there subsist several key questions which cover the scope of the areas to be explored. It allows a little more leeway for the researcher to explore the subject matter.

Unstructured Interviews - It is an in-depth interview that allows the researcher to collect a wide range of information with a purpose. An advantage of this method is the freedom it gives a researcher to combine structure with flexibility even though it is more time-consuming. 

Pros (good points)

In-depth information

Freedom of flexibility

Accurate data.

 

Cons (bad points)

Time-consuming

Expensive to collect.

 

What are the best Data Collection Tools for Interviews? 

For collecting data through interviews, here are a few tools you can use to easily collect data.

 

Audio Recorder

An audio recorder is used for recording sound on disc, tape, or film. Audio information can meet the needs of a wide range of people, as well as provide alternatives to print data collection tools.

 

Digital Camera

An advantage of a digital camera is that it can be used for transmitting those images to a monitor screen when the need arises.

 

Camcorder

A camcorder is used for collecting data through interviews. It provides a combination of both an audio recorder and a video camera. The data provided is qualitative in nature and allows the respondents to answer questions asked exhaustively. If you need to collect sensitive information during an interview, a camcorder might not work for you as you would need to maintain your subject’s privacy.

Want to conduct an interview for qualitative data research or special report? Use this online interview consent form template to allow the interviewee to give their consent before you use the interview data for research or report. With premium features like e-signature, upload fields, form security, etc., Formplus Builder is the perfect tool to create your preferred online consent forms without coding experience. 

 

QUESTIONNAIRES

This is the process of collecting data through an instrument consisting of a series of questions and prompts to receive a response from individuals it is administered to. Questionnaires are designed to collect data from a group. 

 

For clarity, it is important to note that a questionnaire isn't a survey, rather it forms a part of it. A survey is a process of data gathering involving a variety of data collection methods, including a questionnaire.

On a questionnaire, there are three kinds of questions used. They are; fixed-alternative, scale, and open-ended. With each of the questions tailored to the nature and scope of the research.

 

Pros  

Can be administered in large numbers and is cost-effective.

It can be used to compare and contrast previous research to measure change.

Easy to visualize and analyze.

Questionnaires offer actionable data.

Respondent identity is protected.

Questionnaires can cover all areas of a topic.

Relatively inexpensive.

 

Cons

Answers may be dishonest or the respondents lose interest midway.

Questionnaires can't produce qualitative data.

Questions might be left unanswered. 

Respondents may have a hidden agenda.

Not all questions can be analyzed easily.

 

What are the best Data Collection Tools for Questionnaire? 

Formplus Online Questionnaire

Formplus lets you create powerful forms to help you collect the information you need. Formplus helps you create the online forms that you like. The Formplus online questionnaire form template to get actionable trends and measurable responses. Conduct research, optimize knowledge of your brand or just get to know an audience with this form template. The form template is fast, free and fully customizable.

 

Paper Questionnaire

A paper questionnaire is a data collection tool consisting of a series of questions and/or prompts for the purpose of gathering information from respondents. Mostly designed for statistical analysis of the responses, they can also be used as a form of data collection.

 

REPORTING

By definition, data reporting is the process of gathering and submitting data to be further subjected to analysis. The key aspect of data reporting is reporting accurate data because of inaccurate data reporting leads to uninformed decision making.

 

Pros 

Informed decision-making.

Easily accessible.

 

Cons

Self-reported answers may be exaggerated.

The results may be affected by bias.

Respondents may be too shy to give out all the details.

Inaccurate reports will lead to uninformed decisions.

 

What are the best Data Collection Tools for Reporting?

Reporting tools enable you to extract and present data in charts, tables, and other visualizations so users can find useful information. You could source data for reporting from Non-Governmental Organizations (NGO) reports, newspapers, website articles, hospital records.

 

NGO Reports

Contained in NGO reports is an in-depth and comprehensive report on the activities carried out by the NGO, covering areas such as business and human rights. The information contained in these reports is research-specific and forms an acceptable academic base for collecting data. NGOs often focus on development projects which are organized to promote particular causes.

Newspapers

Newspaper data are relatively easy to collect and are sometimes the only continuously available source of event data. Even though there is a problem of bias in newspaper data, it is still a valid tool in collecting data for Reporting.

Website Articles

Gathering and using data contained in website articles is also another tool for data collection. Collecting data from web articles is a quicker and less expensive data collection Two major disadvantages of using this data reporting method are biases inherent in the data collection process and possible security/confidentiality concerns.

 

Hospital Care records

Health care involves a diverse set of public and private data collection systems, including health surveys, administrative enrollment and billing records, and medical records, used by various entities, including hospitals, CHCs, physicians, and health plans. The data provided is clear, unbiased and accurate, but must be obtained under legal means as medical data is kept with the strictest regulations.

 

EXISTING DATA

This is the introduction of new investigative questions in addition to/other than the ones originally used when the data was initially gathered. It involves adding measurement to a study or research. An example would be sourcing data from an archive.

 

Pros

Accuracy is very high.

Easily accessible information.

 

Cons

Problems with evaluation.

Difficulty in understanding. 

 

What are the Best Data Collection Tools for Existing Data?

The concept of Existing data means that data is collected from existing sources to investigate research questions other than those for which the data were originally gathered. Tools to collect existing data include: 

Research Journals - Unlike newspapers and magazines, research journals are intended for an academic or technical audience, not general readers. A journal is a scholarly publication containing articles written by researchers, professors, and other experts. 

 

Surveys - A survey is a data collection tool for gathering information from a sample population, with the intention of generalizing the results to a larger population. Surveys have a variety of purposes and can be carried out in many ways depending on the objectives to be achieved.

 

OBSERVATION

This is a data collection method by which information on a phenomenon is gathered through observation. The nature of the observation could be accomplished either as a complete observer, an observer as a participant, a participant as an observer, or as a complete participant. This method is a key base for formulating a hypothesis.

 

Pros

Easy to administer.

There subsists a greater accuracy with results.

It is a universally accepted practice.

It diffuses the situation of an unwillingness of respondents to administer a report.

It is appropriate for certain situations.

 

Cons

Some phenomena aren’t open to observation.

It cannot be relied upon.

Bias may arise.

It is expensive to administer.

Its validity cannot be predicted accurately.

 

What are the best Data Collection Tools for Observation?

Observation involves the active acquisition of information from a primary source. Observation can also involve the perception and recording of data via the use of scientific instruments. The best tools for Observation are:

Checklists - state-specific criteria, allow users to gather information and make judgments about what they should know in relation to the outcomes. They offer systematic ways of collecting data about specific behaviors, knowledge, and skills.

 

Direct observation - This is an observational study method of collecting evaluative information. The evaluator watches the subject in his or her usual environment without altering that environment.

FOCUS GROUPS

The opposite of quantitative research which involves numerical-based data, this data collection method focuses more on qualitative research. It falls under the primary category for data based on the feelings and opinions of the respondents. This research involves asking open-ended questions to a group of individuals usually ranging from 6-10 people, to provide feedback.

 

Pros

Information obtained is usually very detailed.

Cost-effective when compared to one-on-one interviews.

It reflects speed and efficiency in the supply of results.

 

Cons

Lacking depth in covering the nitty-gritty of a subject matter.

Bias might still be evident.

Requires interviewer training

The researcher has very little control over the outcome.

A few vocal voices can drown out the rest.

Difficulty in assembling an all-inclusive group.

 

What are the best Data Collection Tools for Focus Groups?

A focus group is a data collection method that is tightly facilitated and structured around a set of questions. The purpose of the meeting is to extract from the participants' detailed responses to these questions. The best tools for tackling Focus groups are: 

Two-Way - One group watches another group answer the questions posed by the moderator. After listening to what the other group has to offer, the group that listens are able to facilitate more discussion and could potentially draw different conclusions.

 

Dueling-Moderator - There are two moderators who play the devil’s advocate. The main positive of the dueling-moderator focus group is to facilitate new ideas by introducing new ways of thinking and varying viewpoints.

 

COMBINATION RESEARCH

This method of data collection encompasses the use of innovative methods to enhance participation to both individuals and groups. Also under the primary category, it is a combination of Interviews and Focus Groups while collecting qualitative data.

This method is key when addressing sensitive subjects. 

Pros

Encourage participants to give responses.

It stimulates a deeper connection between participants.

The relative anonymity of respondents increases participation.

It improves the richness of the data collected.

 

Cons

It costs the most out of all the top 7.

It's the most time-consuming.

 

What are the best Data Collection Tools for Combination Research? 

The Combination Research method involves two or more data collection methods, for instance, interviews as well as questionnaires or a combination of semi-structured telephone interviews and focus groups.

 

The best tools for combination research are: 

 

Online Survey - The two tools combined here are online interviews and the use of questionnaires. This is a questionnaire that the target audience can complete over the Internet. It is timely, effective and efficient. Especially since the data to be collected is quantitative in nature.

 

Dual-Moderator - The two tools combined here are focus groups and structured questionnaires. The structured questioners give a direction as to where the research is headed while two moderators take charge of proceedings.

Whilst one ensures the focus group session progresses smoothly, the other makes sure that the topics in question are all covered. Dual-moderator focus groups typically result in a more productive session and essentially leads to an optimum collection of data.

 

WHY FORMPLUS IS THE BEST DATA COLLECTION TOOL

Vast Options for Form Customization 

With Formplus, you can create your unique survey form. With options to change themes, font colour, font, font type, layout, width, and more, you can create an attractive survey form. The builder also gives you as many features as possible to choose from and you do not need to be a graphic designer to create a form.

Extensive Analytics

Form Analytics, a feature in formplus helps you view the number of respondents, unique visits, total visits, abandonment rate, and average time spent before submission. This tool eliminates the need for a manual calculation of the received data and/or responses as well as the conversion rate for your poll.

 

Embed Survey Form on Your Website

Copy the link to your form and embed as an iframe which will automatically load as your website loads, or as a popup which opens once the respondent clicks on the link. Embed the link on your Twitter page to give instant access to your followers.

 

Geolocation Support

The geolocation feature on Formplus lets you ascertain where individual responses are coming. It utilises Google Maps to pinpoint the longitude and latitude of the respondent, to the nearest accuracy, along with the responses.

 

Multi-Select feature

This feature helps to conserve horizontal space as it allows you to put multiple options in one field. This translates to including more information on the survey form. 

 

2. Input your survey title and use the form builder choice options to start creating your surveys. 

Use the choice option fields like single select, multiple select, checkbox, radio, and image choices to create your preferred multi-choice surveys online.

 

3. Do you want customers to rate any of your products or services delivery? 

Use the rating to allow survey respondents rate your products or services. This is an ideal quantitative research method of collecting data. 

 

4. Beautify your online questionnaire with Formplus Customisation features.

You can; 

Change the theme colour

Add your brands’ logo and image to the forms

Change the form width and layout

Edit submission button if you want

Change text font color and sizes  

Do you have already made custom CSS to beautify your questionnaire? If yes, just copy and paste it to the CSS option. 

 

5. Edit your survey questionnaire settings for your specific needs

Choose where you choose to store your files and responses. Select a submission deadline, choose a timezone, limit respondents responses, enable Captcha to prevent spam and collect location data of customers.

Set an introductory message to respondents before they begin the survey, toggle the “start button” post final submission message or redirect respondents to another page when they submit their questionnaires. 

Change the Email Notifications inventory and initiate an autoresponder message to all your survey questionnaire respondents. You can also transfer your forms to other users who can become form administrators.

 

6. Share links of your survey questionnaire page with customers.

There’s an option to copy and share the link as “Popup” or “Embed code” The data collection tool automatically creates a QR Code for Survey Questionnaire where you can download and share as appropriate. 

Congratulations if you’ve made it to this stage. You can start sharing your link to your survey questionnaire with your customers.

 

7. View your Responses to the Survey Questionnaire

Toggle with the presentation of your summary from the options. Whether as a single, table or cards.

 

8. Allow Formplus Analytics to interpret your Survey Questionnaire Data

 With online form builder analytics, a business can determine;

The number of times the survey questionnaire was filled

The number of customers reached

Abandonment Rate: The rate at which customers exit the form without submitting. 

Conversion Rate: The percentage of customers who completed the online form

Average time spent per visit

Location of customers/respondents.

The type of device used by the customer to complete the survey questionnaire.

 

 

7 Tips to Create the Best Surveys for Data Collections

 Define the goal of your survey - Once the goal of your survey is outlined, it will aid in deciding which questions are the top priority. A clear attainable goal would, for example, mirror a clear reason as to why something is happening. e.g. "The goal of this survey is to understand why Employees are leaving an establishment."

 

Use close-ended clearly defined questions - Avoid open-ended questions and ensure you're not suggesting your preferred answer to the respondent. If possible offer a range of answers with choice options and ratings.

 

Survey outlook should be attractive and Inviting - An attractive-looking survey encourages a higher number of recipients to respond to the survey. Check out Formplus builder for colorful options to integrate into your survey design. You could use images and videos to keep participants glued to their screens.

 

 Assure Respondents about the safety of their data - You want your respondents to be assured whilst disclosing details of their personal information to you. It's your duty to inform the respondents that the data they provide is confidential and only collected for the purpose of research.

 

Ensure your survey can be completed in record time - Ideally, in a typical survey, users should be able to respond in 100 seconds. It is pertinent to note that they, the respondents, are doing you a favor. Don't stress them. Be brief and get straight to the point.

 

Do a trial survey - Preview your survey before sending out your surveys to the intended respondents. Make a trial version which you'll send to a few individuals. Based on their responses, you can draw inferences and decide whether or not your survey is ready for the big time.

 

Attach a reward upon completion for users - Give your respondents something to look forward to at the end of the survey. Think of it as a penny for their troubles. It could well be the encouragement they need to not abandon the survey midway.

 

Try out Formplus today. You can start making your own surveys with the Formplus online survey builder. By applying these tips, you will definitely get the most out of your online surveys.

 

 

 

 

Top Survey Templates for Data Collection 

Customer Satisfaction Survey Template 

On the template, you can collect data to measure customer's satisfaction over key areas like the commodity purchase and the level of service they received. It also gives insight as to which products the customer enjoyed, how often they buy such a product, and whether or not the customer is likely to recommend the product to a friend or acquaintance. 

 

Demographic Survey Template 

With this template, you would be able to measure, with accuracy, the ratio of male to female, age range and a number of unemployed persons in a particular country as well as obtain their personal details such as names and addresses.

Respondents are also able to state their religious and political views about the country under review.

 

Feedback Form Template

Contained in the template for the online feedback form is the details of a product and/or service used. Identifying this product or service and documenting how long the customer has used them.

The overall satisfaction is measured as well as the delivery of the services. The likelihood that the customer also recommends said product is also measured.

 

Online Questionnaire Template

The online questionnaire template houses the respondent's data as well as educational qualification to collect information to be used for academic research.

Respondents can also provide their gender, race, a field of study as well as present living conditions as prerequisite data for the research study.

 

Student Data Sheet Form Template 

The template is a data sheet containing all the relevant information of a student. The student's name, home address, guardians name, a record of attendance as well as performance in school is well represented on this template. This is a perfect data collection method to deploy for a school or an education organizations.

Also included is a record for interaction with others as well as a space for a short comment on the overall performance and attitude of the student. 

 

 

 

Interview Consent Form Template

This online interview consent form template allows interviewee sign off their consent to use the interview data for research or report for journalist. With premium features like short text fields, upload, e-signature, etc., Formplus Builder is the perfect tool to create your preferred online consent forms without coding experience.

 

What is best data collection method for qualitative data?

Ans: Combination Research

The best data collection method for a researcher for gathering qualitative data which generally is data relying on the feelings, opinions and beliefs of the respondents would be Combination Research.

The reason why combination research is the best fit is that it encompasses the attributes of Interviews and Focus Groups. It is also useful when gathering data that is sensitive in nature. It can be described as all-purpose quantitative data collection method.

Above all, combination research improves the richness of data collected when compared with other data collection methods for qualitative data.

 

What is best data collection method for quantitative research data?

Ans: Questionnaire

The best data collection method a researcher can employ in gathering quantitative data which takes into consideration data that can be represented in numbers and figures that can be deduced mathematically is the Questionnaire. These can be administered to a large number of respondents, while saving cost. For quantitative data that may be bulky or voluminous in nature, the use of a Questionnaire makes such data easy to visualize and analyze.

Another key advantage of the Questionnaire is that it can be used to compare and contrast previous research work done to measure changes.