Which of the following factors must be taken into account in quantitative research?

A. Measurement

B. Causality

C. Replication

D. Exclusion of statistical analysis

E. Less importance to standarisation

Choose the most appropriate answer from the questions given below:

The most appropriate option is: A,B and C only.

Key Points Quantitative research involves the collection and analysis of numerical data to answer research questions and test hypotheses. Several factors must be taken into account in quantitative research. Let's break down each factor and see which ones are listed in the options:

•  Measurement: Measurement is a crucial aspect of quantitative research. It involves defining and operationalizing variables to obtain numerical data for analysis.
• Causality: Causality refers to establishing a cause-and-effect relationship between variables. While quantitative research can explore associations between variables, establishing causality often requires additional research designs, such as experimental studies.
• Replication: Replication is an essential aspect of scientific research, including quantitative research. Replication involves repeating a study using the same methods and variables to assess the consistency and generalizability of findings.
•  Less importance to standardization: Standardization is vital in quantitative research to ensure consistency and comparability of data. It involves using uniform procedures for data collection and analysis.
• Exclusion of statistical analysis: This option appears to be contradictory and does not align with the requirements of quantitative research. Statistical analysis is a fundamental aspect of quantitative research, used to analyze and interpret numerical data.

Based on the above explanations, the most appropriate answer is Option 1) A, B and C only, as it includes the factors that must be taken into account in quantitative research: Measurement, Causality, and Replication of statistical analysis.