Quiz_Questions_and_Answers Flashcards

1
Q

Explain the steps involved in the scientific method. How does it guide research activities?

A

Steps of the Scientific Method: Ask a question, identify important factors, formulate a hypothesis, collect data, test the hypothesis, work with the hypothesis, reconsider the theory, and ask new questions. It ensures systematic investigation and reduces bias.

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2
Q

Differentiate between descriptive, correlational, qualitative, and experimental research. Provide examples of each.

A

Types of Research: Descriptive observes phenomena, correlational examines relationships, qualitative explores behaviors, experimental tests cause-effect relationships.

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3
Q

What is the difference between dependent and independent variables? Provide an example for each.

A

Dependent vs. Independent Variables: Dependent is the outcome measured, independent is manipulated (e.g., test scores vs. hours of study).

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4
Q

Define the null hypothesis and the research hypothesis. Why are both important in scientific research?

A

Null Hypothesis vs. Research Hypothesis: Null states no effect (e.g., ‘Drug has no effect’), research states an effect exists (e.g., ‘Drug improves recovery’).

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5
Q

How does a directional hypothesis differ from a non-directional hypothesis? Give examples.

A

Directional vs. Non-Directional Hypothesis: Directional predicts a specific relationship (e.g., A increases B), non-directional predicts an effect without specifying direction.

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6
Q

What are the primary and secondary sources in research? How do they differ?

A

Primary Sources are original data/research (e.g., studies), secondary sources summarize primary data (e.g., reviews).

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7
Q

Describe the role of peer-reviewed journals in the research process. Why is peer review important?

A

Peer Review ensures quality and credibility by having experts evaluate research before publication.

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8
Q

Discuss the ethical principles that researchers must follow to protect participants in a study.

A

Ethical Principles: Informed consent, confidentiality, protection from harm, privacy.

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9
Q

What is the role of Institutional Review Boards (IRBs) in ensuring ethical research practices?

A

Institutional Review Boards (IRBs) oversee research to ensure ethical standards and participant protection.

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10
Q

Describe the differences between random sampling, stratified sampling, and cluster sampling. Provide an example of when each might be used.

A

Random sampling gives equal chance, stratified ensures proportional subgroups, cluster selects clusters like cities/schools.

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11
Q

What is sampling error, and how does it affect the generalizability of research findings?

A

Sampling error is the difference between the sample’s results and the true population, limiting generalizability.

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12
Q

List and explain the four levels of measurement: nominal, ordinal, interval, and ratio. Provide examples for each.

A

Levels of Measurement: Nominal (categories, e.g., gender), Ordinal (rankings, e.g., race positions), Interval (equal intervals, e.g., temperature), Ratio (true zero, e.g., weight).

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13
Q

What is the relationship between reliability and validity? Can a measure be reliable but not valid? Explain.

A

Reliability ensures consistency, validity ensures accuracy. Measures can be reliable but not valid (e.g., consistent but wrong scale).

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14
Q

What is a Likert scale, and how is it used in research? Provide an example.

A

Likert Scale measures attitudes using ranges (e.g., Strongly Agree to Strongly Disagree).

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15
Q

Discuss the strengths and weaknesses of using questionnaires to measure behavior.

A

Strengths of Questionnaires: Cost-effective, wide reach. Weaknesses: Limited depth, possible misinterpretation.

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16
Q

What are measures of central tendency, and why are they important in data analysis?

A

Central Tendency: Mean is average, median is the middle value, mode is the most frequent value.

17
Q

Explain the difference between range and standard deviation as measures of variability.

A

Range shows the difference between highest/lowest values; standard deviation measures spread around the mean.

18
Q

What does a normal distribution curve represent in statistical analysis?

A

Normal Curve represents a bell shape with most values near the mean.

19
Q

What is statistical significance, and how is it determined in research?

A

Statistical Significance determines if results are due to chance (e.g., p < 0.05).

20
Q

Explain the differences between Type I and Type II errors in hypothesis testing. Provide examples.

A

Type I Error rejects a true null hypothesis; Type II fails to reject a false null hypothesis.

21
Q

What role does the critical value play in determining the outcome of a statistical test?

A

Critical Value determines the threshold for rejecting the null hypothesis.

22
Q

What are the key differences between survey research and correlational research?

A

Survey gathers descriptive data; correlational examines relationships.

23
Q

Why can’t correlational studies establish causation? Use an example to illustrate your point.

A

Correlation doesn’t imply causation (e.g., ice cream sales and drowning both increase in summer).

24
Q

What are the strengths and weaknesses of using focus groups in qualitative research?

A

Focus Groups: Strengths are rich data, weaknesses are groupthink, low generalizability.

25
Q

Describe the role of case studies in understanding complex behaviors or phenomena.

A

Case Studies offer in-depth exploration of unique phenomena.

26
Q

What is the main difference between quasi-experimental and true experimental research?

A

Quasi-Experimental lacks random assignment; true experimental has it.

27
Q

Explain the advantages and limitations of longitudinal and cross-sectional research designs.

A

Longitudinal follows the same individuals over time; cross-sectional studies groups at one time.

28
Q

What are the key components of a research manuscript? Briefly describe the purpose of each section.

A

Components: Title, abstract, introduction, method, results, discussion, references.

29
Q

Why is it important to follow APA formatting guidelines when preparing a research manuscript?

A

APA Formatting ensures consistency and credibility in research presentation.