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Athanasia Lampraki
and
Evangelia Katsikea
This course concentrates on the design and development of different research instruments. In this vein, the focus will be placed on the development of an instrument design strategy, scales of measurement and the components of the research report. The course begins by looking at the questionnaire development process with a focus on questionnaire design, question type and wording, pretesting and revising. We will consider the identification of scales of measurement and operationalisation, and the design of an online questionnaire. We are going to discuss sources of measurement differences, and the assessment of the reliability of measurements. The issue of the validity of measurements and the various types of validity will also be explored, as well as attitude measurement. We will discuss data preparation and processing, data coding, adjustment, and data analysis using multivariate data approaches. We are also going to explore frequency distribution and measures of location, variability and shape. The course ends with a discussion on hypothesis testing and the use of statistics relevant to cross-tabulations. We will discuss parametric and non-parametric tests in hypothesis testing and group comparison as well as the different sections of the research report.
Register for this course and see more details by visiting:
OpenCourser.com/course/k9pxxb/research
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What's inside
Syllabus
Week 1
This week focuses on the questionnaire development process with a focus on questionnaire design, question type and wording, pretesting and revising. The week ends with a discussion regarding identification of scales of measurement and operationalisation and design of an online questionnaire.
Read more
Syllabus
Week 1
This week focuses on the questionnaire development process with a focus on questionnaire design, question type and wording, pretesting and revising. The week ends with a discussion regarding identification of scales of measurement and operationalisation and design of an online questionnaire.
Read more
Week 2
The week commences with a discussion on sources of measurement differences, and the assessment of reliability of measurements. The issue of validity of measurements is discussed and the various types of validity are discussed. The week ends with a discussion of attitude measurement.
Week 3
The week commences with a discussion on data preparation and processing. We are going to discuss data coding, adjustment, and data analysis using multivariate data approaches. The week ends with an exploration of frequency distribution and measures of location, variability and shape.
Week 4
The week commences with a discussion on hypothesis testing and the use of statistics relevant to cross tabulations. We will discuss parametric and non-parametric tests in hypothesis testing and group comparison. The week ends with an exploration of the different sections of the research report.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops questionnaire strategies and design that are core skills for researchers in various fields
Explores research instrument development, which is standard in social science research
Teaches skills in assessing measurement reliability and validity, which are essential for designing effective research instruments
Covers data analysis using multivariate approaches, which is useful for handling complex datasets
Provides guidance on hypothesis testing and statistical analysis, which are fundamental skills for researchers
Requires students to have a background in statistics and research methods
Save this course
Save Research Instruments and Research Hypotheses to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Research Instruments and Research Hypotheses with these
activities:
Compile your notes and readings
Show steps
Compiling your notes and readings will help you organize and synthesize the information presented in the course
Show steps
-
Gather your notes and readings
-
Organize your materials by topic
-
Summarize the key points of each topic
Review statistical concepts
Show steps
Reviewing statistical concepts will help you remember the basic principles and techniques used in research design
Browse courses on
Statistical Concepts
Show steps
-
Read through your notes or textbook
-
Solve practice problems
-
Create a summary of key terms and equations
Collaboration on questionnaire development
Show steps
Collaborating on questionnaire development will provide you with valuable feedback and improve the quality of your instrument
Browse courses on
Questionnaire Design
Show steps
-
Share a draft of your questionnaire with group members
-
Discuss the strengths and weaknesses of the questionnaire
-
Make revisions based on feedback
Five other activities
Expand to see all activities and additional details
Show all eight activities
Validity assessment techniques (online tutorials)
Show steps
Following guided tutorials on validity assessment techniques will help you understand and apply different methods for evaluating the validity of your data
Browse courses on
Data Analysis
Show steps
-
Find online tutorials on validity assessment techniques
-
Watch the tutorials and take notes
-
Apply the techniques to your own data
Designing an online questionnaire
Show steps
Designing an online questionnaire will allow you to collect data from a wider range of participants
Browse courses on
Questionnaire Design
Show steps
-
Choose an online survey platform
-
Design the layout of your questionnaire
-
Write clear and concise questions
-
Test your questionnaire
Reliability analysis exercises
Show steps
Practicing reliability analysis exercises will improve your understanding of reliability concepts and techniques
Browse courses on
Data Analysis
Show steps
-
Find practice problems or datasets online
-
Calculate reliability coefficients using different methods
-
Interpret the results and evaluate the reliability of your data
Hypothesis testing exercises
Show steps
Practicing hypothesis testing exercises will improve your understanding of hypothesis testing procedures and statistical significance
Browse courses on
Hypothesis Testing
Show steps
-
Find practice problems or datasets online
-
State the null and alternative hypotheses
-
Select the appropriate statistical test
-
Perform the statistical test and interpret the results
Mentor a classmate on research instrument design
Show steps
Mentoring a classmate will provide you with an opportunity to reinforce your understanding of research instrument design and assist others in their learning process
Show steps
-
Offer your assistance to a classmate who is struggling with research instrument design
-
Meet with your classmate regularly to provide guidance and support
-
Share your knowledge and experience in research instrument design
Compile your notes and readings
Show steps
Compiling your notes and readings will help you organize and synthesize the information presented in the course
Show steps
Show steps
Show steps
- Gather your notes and readings
- Organize your materials by topic
- Summarize the key points of each topic
Review statistical concepts
Show steps
Reviewing statistical concepts will help you remember the basic principles and techniques used in research design
Browse courses on
Statistical Concepts
Show steps
Show steps
Show steps
- Read through your notes or textbook
- Solve practice problems
- Create a summary of key terms and equations
Collaboration on questionnaire development
Show steps
Collaborating on questionnaire development will provide you with valuable feedback and improve the quality of your instrument
Browse courses on
Questionnaire Design
Show steps
Show steps
Show steps
- Share a draft of your questionnaire with group members
- Discuss the strengths and weaknesses of the questionnaire
- Make revisions based on feedback
Five other activities
Expand to see all activities and additional details
Show all eight activities
Validity assessment techniques (online tutorials)
Show steps
Following guided tutorials on validity assessment techniques will help you understand and apply different methods for evaluating the validity of your data
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find online tutorials on validity assessment techniques
- Watch the tutorials and take notes
- Apply the techniques to your own data
Designing an online questionnaire
Show steps
Designing an online questionnaire will allow you to collect data from a wider range of participants
Browse courses on
Questionnaire Design
Show steps
Show steps
Show steps
- Choose an online survey platform
- Design the layout of your questionnaire
- Write clear and concise questions
- Test your questionnaire
Reliability analysis exercises
Show steps
Practicing reliability analysis exercises will improve your understanding of reliability concepts and techniques
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find practice problems or datasets online
- Calculate reliability coefficients using different methods
- Interpret the results and evaluate the reliability of your data
Hypothesis testing exercises
Show steps
Practicing hypothesis testing exercises will improve your understanding of hypothesis testing procedures and statistical significance
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- Find practice problems or datasets online
- State the null and alternative hypotheses
- Select the appropriate statistical test
- Perform the statistical test and interpret the results
Mentor a classmate on research instrument design
Show steps
Mentoring a classmate will provide you with an opportunity to reinforce your understanding of research instrument design and assist others in their learning process
Show steps
Show steps
Show steps
- Offer your assistance to a classmate who is struggling with research instrument design
- Meet with your classmate regularly to provide guidance and support
- Share your knowledge and experience in research instrument design
Career center
Learners who complete Research Instruments and Research Hypotheses will develop knowledge and skills
that may be useful to these careers:
Business Analyst
Business Analyst
Business analysts need to be able to understand and analyze business processes. This course can help business analysts develop the skills they need to be successful in their careers. The course covers a wide range of topics, including questionnaire development, measurement scales, data analysis, and hypothesis testing. This knowledge can help business analysts design and conduct more effective business analysis studies, and to produce more accurate and reliable results.
Statistician
Statistician
Statisticians need to be able to design and analyze experiments, and to interpret the results. This course can help statisticians develop the skills they need to be successful in their careers. The course covers a wide range of topics, including questionnaire development, measurement scales, data analysis, and hypothesis testing. This knowledge can help statisticians design and conduct more effective experiments, and to produce more accurate and reliable results.
Data Analyst
Data Analyst
Data analysts need to be able to use a variety of research instruments and hypotheses to gather and analyze data. This course can help data analysts develop the skills they need to design and implement effective research studies. The course covers a wide range of topics, including questionnaire development, measurement scales, data analysis, and hypothesis testing. This knowledge can help data analysts make more informed decisions about the data they collect and the conclusions they draw.
Psychologist
Psychologist
Psychologists need to be able to understand and analyze human behavior. This course can help psychologists develop the skills they need to be successful in their careers. The course covers a wide range of topics, including questionnaire development, measurement scales, data analysis, and hypothesis testing. This knowledge can help psychologists design and conduct more effective psychological studies, and to produce more accurate and reliable results.
Epidemiologist
Epidemiologist
Epidemiologists need to be able to investigate the causes of disease and to develop strategies to prevent and control disease outbreaks. This course can help epidemiologists develop the skills they need to be successful in their careers. The course covers a wide range of topics, including questionnaire development, measurement scales, data analysis, and hypothesis testing. This knowledge can help epidemiologists design and conduct more effective epidemiological studies, and to produce more accurate and reliable results.
Economist
Economist
Economists need to be able to understand and analyze economic data. This course can help economists develop the skills they need to be successful in their careers. The course covers a wide range of topics, including questionnaire development, measurement scales, data analysis, and hypothesis testing. This knowledge can help economists design and conduct more effective economic studies, and to produce more accurate and reliable results.
Market Researcher
Market Researcher
Market researchers need to be able to understand and analyze consumer behavior. This course can help market researchers develop the skills they need to be successful in their careers. The course covers a wide range of topics, including questionnaire development, measurement scales, data analysis, and hypothesis testing. This knowledge can help market researchers design and conduct more effective market research studies, and to produce more accurate and reliable results.
Historian
Historian
Historians need to be able to understand and analyze historical events. This course can help historians develop the skills they need to be successful in their careers. The course covers a wide range of topics, including questionnaire development, measurement scales, data analysis, and hypothesis testing. This knowledge can help historians design and conduct more effective historical studies, and to produce more accurate and reliable results.
Sociologist
Sociologist
Sociologists need to be able to understand and analyze social behavior. This course can help sociologists develop the skills they need to be successful in their careers. The course covers a wide range of topics, including questionnaire development, measurement scales, data analysis, and hypothesis testing. This knowledge can help sociologists design and conduct more effective sociological studies, and to produce more accurate and reliable results.
Political Scientist
Political Scientist
Political scientists need to be able to understand and analyze political behavior. This course can help political scientists develop the skills they need to be successful in their careers. The course covers a wide range of topics, including questionnaire development, measurement scales, data analysis, and hypothesis testing. This knowledge can help political scientists design and conduct more effective political science studies, and to produce more accurate and reliable results.
Anthropologist
Anthropologist
Anthropologists need to be able to understand and analyze human behavior. This course can help anthropologists develop the skills they need to be successful in their careers. The course covers a wide range of topics, including questionnaire development, measurement scales, data analysis, and hypothesis testing. This knowledge can help anthropologists design and conduct more effective anthropological studies, and to produce more accurate and reliable results.
Research Analyst
Research Analyst
Research analysts need to be able to design and conduct research studies, and to analyze and interpret data. This course can help research analysts develop the skills they need to be successful in their careers. The course covers a wide range of topics, including questionnaire development, measurement scales, data analysis, and hypothesis testing. This knowledge can help research analysts design and conduct more effective research studies, and to produce more accurate and reliable results.
Social Scientist
Social Scientist
Social scientists need to be able to understand and analyze social behavior. This course can help social scientists develop the skills they need to be successful in their careers. The course covers a wide range of topics, including questionnaire development, measurement scales, data analysis, and hypothesis testing. This knowledge can help social scientists design and conduct more effective social science studies, and to produce more accurate and reliable results.
Survey Researcher
Survey Researcher
Survey researchers need to be able to design and conduct surveys, and to analyze and interpret the results. This course can help survey researchers develop the skills they need to be successful in their careers. The course covers a wide range of topics, including questionnaire development, measurement scales, data analysis, and hypothesis testing. This knowledge can help survey researchers design and conduct more effective surveys, and to produce more accurate and reliable results.
Criminologist
Criminologist
Criminologists need to be able to understand and analyze criminal behavior. This course can help criminologists develop the skills they need to be successful in their careers. The course covers a wide range of topics, including questionnaire development, measurement scales, data analysis, and hypothesis testing. This knowledge can help criminologists design and conduct more effective criminological studies, and to produce more accurate and reliable results.
For more career information including salaries, visit:
OpenCourser.com/course/k9pxxb/research
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Research Instruments and Research Hypotheses.
Covers the fundamentals of measurement and scaling in research, including the different types of measurement scales and how to choose the appropriate scale for your research question.
This comprehensive guide focuses specifically on questionnaire design, providing practical advice on how to create effective and reliable questionnaires.
Provides a comprehensive guide to designing, developing, and evaluating questionnaires for various research purposes.
Provides an introduction to statistical classification, including the different types of classification methods and how to choose the appropriate method for your research question.
Provides practical advice on the use of online survey tools for data collection in social science research.
Provides a critical overview of the principles and practices of social research, offering insights into the philosophical underpinnings and ethical considerations of research.
Provides a comprehensive overview of measurement and data analysis for the social sciences, including questionnaire development, measurement, and data analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/k9pxxb/research
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Effort
20 hours (4 hours per week)
Level
Introductory
Via
Coursera
Institution
Queen Mary University of London
Instructors
Athanasia Lampraki
Evangelia Katsikea
Language
English
Transcripts
Español
Français
Português
Deutsch
Italiano
中文
العربية
한국어
日本語
हिंदी
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This course belongs to a
collection
called
Market Research. It's comprised of four courses:
- Research Methodologies
- Research Instruments and Research Hypotheses (viewing)
- Analysis and Interpretation of Data
- Introduction to Market Research
Good to know
Develops questionnaire strategies and design that are core skills for researchers in various fields
Explores research instrument development, which is standard in social science research
Teaches skills in assessing measurement reliability and validity, which are essential for designing effective research instruments
Covers data analysis using multivariate approaches, which is useful for handling complex datasets
Provides guidance on hypothesis testing and statistical analysis, which are fundamental skills for researchers
Requires students to have a background in statistics and research methods
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