Practical Research 2: Data Collection, Analysis, and Ethics

Vocabulary flashcards covering the stages of data collection, quantitative and qualitative data analysis methods, and the principles of research ethics as outlined in the Practical Research 2 lecture.

Data Collection Procedure

The step-by-step process of gathering information for the study.

Step 1: Permission/Approval

Obtaining ethical clearance (e.g., from ethics review board, SC administration).

Step 2: Participant Recruitment

How participants will be approached and informed.

Step 3: Informed Consent (Data Collection)

Process of explaining the study and obtaining voluntary agreement.

Step 4: Administration of Instrument

How the questionnaire/interview/test will be conducted (e.g., online, in-person, group setting).

Step 5: Data Management

How collected data will be organized and stored securely.

Data Analysis

The methods used to process and interpret the collected data to answer the research questions.

Descriptive Statistics

Statistical methods (e.g., frequency, percentage, mean, standard deviation) used to summarize data.

Inferential Statistics (Quantitative)

Statistical methods (e.g., t-test, ANOVA, correlation, regression) used to make inferences about the population or test hypotheses.

Quantitative Software

Tools used for numeric data analysis, such as SPSS, R, and Excel.

Thematic Analysis

Identifying recurring themes or patterns within qualitative data.

2B. Inferential Statistics (Qualitative Context)

Systematically categorizing and interpreting textual data.

Narrative Analysis

Examining stories and personal accounts.

Discourse Analysis

Analyzing language in use.

Qualitative Software

Tools used for textual data analysis, such as NVivo and Atlas.ti.

Ethical Considerations

Principles and guidelines followed to protect the rights and well-being of participants and ensure responsible conduct of research.

Informed Consent (Ethical Principle)

Ensuring the participants fully understand the study and agree to participate voluntarily.

Anonymity

Protecting participant identity by ensuring their names are not linked to their responses.

Confidentiality

Protecting participant data from unauthorized access.

Voluntary Participation

The principle that participants can withdraw from the study at any time without penalty.

Beneficence

Maximizing potential benefits and minimizing harm to participants.

Non-maleficence

Avoiding harm to the participants.

Justice

Fair distribution of benefits and burdens.