Data Collection, Preparation and Questionnaire Analysis
10 resources created by 9 users
This Data Collection, Preparation and Questionnaire Analysis page on GoConqr gathers community-made mind maps, flashcards and a flowchart on editing, coding, outliers and questionnaire responses. It is for university students practicing data collection and analysis, and teachers looking for material to support that work. The small set of resources is at university level, with maps and flashcards offering different ways to study the topics. Pick a resource and start with the approach that suits you.
Data Collection, Preparation and Questionnaire Analysis
- All Statistics and Quantitative Data Analysis resources
- Stages of Statistical Research15
- Descriptive Statistics and Data Presentation12
- Qualitative Data Analysis12
- Statistical Inference and Hypothesis Testing22
- Analysis of Variance (ANOVA)6
- Correlation and Regression6
- Factor Analysis and Structural Equation Modeling8
- Causal Inference Methods5
Top Data Collection, Preparation and Questionnaire Analysis resources
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88 cardsLecture 3
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26 cards04 – Causal Research: Data Collection Requirements for Causality
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37 nodesEditing and Coding Data Analysis · Raw Data · Information · Editing Concerns · code book · Steps in Coding
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33 nodesCOLLECTING AND ANALYSING DATA WITH SPECIALISED SOFTWARE INFORMATION VISUALIZA... · DATA COLLECTION
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35 nodesIntroduce el texto aquí Data analysis · Definition · Types · Issues · Uses · Limitations
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44 nodesQuestionnaire themes Strengths · Improvements · Limitations · Best and worst stations · Preparation
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20 nodesGet Questionnaire responses per Pilot short version Keep Demographic & Se...
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28 nodesITM: #Mindmap - Data II Types of data · Data collection tools · Data Analysis · Data entry · Representation of data
Mind maps
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37 nodesEditing and Coding Data Analysis · Raw Data · Information · Editing Concerns · code book · Steps in Coding
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33 nodesCOLLECTING AND ANALYSING DATA WITH SPECIALISED SOFTWARE INFORMATION VISUALIZA... · DATA COLLECTION
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35 nodesIntroduce el texto aquí Data analysis · Definition · Types · Issues · Uses · Limitations
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44 nodesQuestionnaire themes Strengths · Improvements · Limitations · Best and worst stations · Preparation
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20 nodesGet Questionnaire responses per Pilot short version Keep Demographic & Se...
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28 nodesITM: #Mindmap - Data II Types of data · Data collection tools · Data Analysis · Data entry · Representation of data
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9 nodesNORMALIZATION Why?
Flashcards
Flowcharts
More Statistics and Quantitative Data Analysis topics
About Data Collection, Preparation and Questionnaire Analysis
GoConqr OriginalStart with a map
The resources on this page offer several ways into data collection and analysis. Start with Editing and Coding for an overview of raw data, information and editing concerns. Its branches cover how questions are asked, answers are recorded and respondents are screened. Follow the branches, then explain each concern in your own words.
For a broader view of collection methods, use the mind map covering types of data and tools such as observation, interviews, focus groups, surveys and questionnaires. It also includes analyzing results.
Study specific questions with flashcards
The flashcards on outliers ask what outliers are, what problems they present and what a researcher needs to consider when approaching them. Work through the prompts after studying the map, and note any terms you want to check again.
The causal research flashcards cover requirements for causality, including the order of variables and the elimination of alternative explanations. They offer a different focus from the editing map, while keeping data collection in view.
Follow questionnaire responses
Questionnaire themes groups strengths and possible improvements. Another map looks at responses by areas including demographics, energy behavior and familiarity. The flowchart follows questionnaire responses as they are grouped into dimensions, then used to define prospects and outreach suggestions.
These resources are part of a section of the wider unit in Research methods and academic skills. Together, they show different ways the section approaches collecting, preparing and analyzing data.
Use maps alongside questions
There are no quizzes listed on this page, so use the flashcard questions with a map instead. A free account also lets you make your own quiz and save your quiz scores. You can then use a map to check the topics your questions cover.
Choose a map, follow its branches and work through a related set of flashcards.
Frequently asked questions
Which resource should I start with?
Start with Editing and Coding if you want to study what happens to raw data and how responses are recorded. Its branches cover editing concerns as well as the asking of questions and screening of respondents. If you want an overview of collection methods instead, start with the map covering observation, interviews, focus groups, surveys and questionnaires.
What do the mind maps cover?
The mind maps cover editing and coding, data collection tools, questionnaire themes, normalization and the use of specialized software. One map also groups questionnaire responses into areas such as demographics, energy behavior and familiarity. Each map has a different focus, so the title and branches can help you choose where to begin.
Are these resources free to use?
Yes. Every resource listed on this page is free to open and study without an account. The collection includes mind maps, flashcards and a flowchart made by GoConqr users. You can move between formats depending on whether you want to follow a set of branches, answer prompts or trace a sequence.
What can I use instead of a quiz?
There are no quizzes listed on this page, but the flashcards provide questions to work through. The outlier deck asks about the problems outliers present and approaches to them. Pair those prompts with a mind map, or use the causal research cards to study requirements for causality alongside the data collection material.