Analytical Chemistry I: Qualitative Analysis - SS3 Chemistry Past Questions and Answers - page 1

A statistical approach to data analysis

The process of analysing numerical data

A method of analysing non-numerical data to gain insights and understanding

The study of cause-and-effect relationships

To gather a large sample size for statistical analysis

To identify statistical correlations between variables

To explore in-depth insights and experiences of participants

To generalise findings to a larger population

To assign numerical values to qualitative data

To summarise the data using descriptive statistics

To categorise and organise qualitative data into themes or categories

To determine the statistical significance of the findings

Surveys

Interviews

Observations

Experiments

When the data is skewed towards a particular outcome

When the researcher has a biassed perspective on the topic

When the sample size is too small to draw any conclusions

When no new information or themes emerge from additional data collection

Minimising the number of participants to protect their privacy

Disclosing participants' identities without their consent

Providing monetary incentives to participants to ensure cooperation

Maintaining confidentiality and anonymity of participants' responses

To make the research findings more difficult to understand for outsiders

To create a detailed account of the research process for academic purposes

To increase the word count of the research report

To provide sufficient context and detail for readers to evaluate the research and its findings

Grounded theory

Content analysis

Thematic analysis

Descriptive analysis

The ability of the researcher to be impartial and detached from the research process

The process of analysing data using multiple researchers to ensure accuracy

The process of self-awareness and reflection on the researcher's role and biases in the research

The use of statistical tests to verify the validity of qualitative findings

Lack of detailed insights into participants' experiences

Difficulty in establishing cause-and-effect relationships

An easy generalisation of findings to larger populations

Reliability and replicability of results