Created from Youtube video: https://www.youtube.com/watch?v=KNfgMDrlK3gvideo**CASE STUDY: ***A marketing team is using surveys to collect data on consumer preferences for a new product line. They aim to generalize the findings to a larger population.***CASE STUDY: ***A psychologist is studying the effects of different teaching methods on student engagement. They collect measurable data such as attendance rates and test scores.***CASE STUDY: ***A research team is analyzing data from a large-scale survey to avoid biases and ensure reliable results.***CASE STUDY: ***A researcher aims to validate existing facts and develop new concepts using quantitative data.*

Concepts covered:quantitative research, numerical analysis, hypothesis testing, structured instruments, large sample sizes

This video lesson introduces quantitative research, focusing on its definition and characteristics. It covers the objective, methodical, and numerical analysis aspects of quantitative research, emphasizing hypothesis testing, structured research instruments, and the importance of large sample sizes for reliable data analysis.

Table of Contents1.Introduction to Quantitative Research2.Ensuring Validity in Quantitative Research

chapter

1

Introduction to Quantitative Research

Concepts covered:quantitative research, numerical analysis, objective method, structured instruments, research questions

This chapter introduces quantitative research, focusing on its definition and characteristics. It emphasizes the objective, methodical, and numerical analysis of data, highlighting the importance of precision, structured research instruments, and clearly defined research questions.

Question 1

Quantitative research emphasizes numerical data analysis.

Question 2

What is a characteristic of research instruments in quantitative research?

Question 3

Why is quantitative research considered objective?

Question 4

All of the following are true about quantitative research except:

Question 5

Select three aspects of quantitative research:

chapter

2

Ensuring Validity in Quantitative Research

Concepts covered:replication, sample size, numerical data, quantitative forecasting, validity

The chapter discusses the importance of replicating quantitative studies to verify results and ensure validity, emphasizing the use of large sample sizes to avoid biases. It also highlights the use of numerical data presentation through tables, charts, and graphs, and the application of quantitative forecasting models to predict future outcomes.

Question 6

Quantitative studies can be duplicated to verify results.

Question 7

Why are quantitative studies replicated?

Question 8

When are quantitative forecasting models appropriate?

Question 9

All of the following are correct applications of large sample size except...

Question 10

Select three correct uses of quantitative data out of the following...

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