Advantages: Surveys can gather a large amount of data from a diverse group of people. They are relatively easy and cost-effective to administer. Disadvantages: Surveys may suffer from response bias and may not always provide in-depth or accurate information.

Disadvantages: Surveys always provide accurate and in-depth information.

Advantages: Surveys are time-consuming and expensive to administer.

Advantages: Surveys can only gather data from a small and homogenous group of people.

Hypothesis testing is used to create random samples for analysis

Hypothesis testing is used to prove a hypothesis with absolute certainty

Hypothesis testing is used to determine the mean of a population parameter

Hypothesis testing is used to make inferences about a population parameter based on sample data, and to determine if there is enough evidence to support a claim or hypothesis.

The generalizability of study findings is not affected by sample size

A smaller sample size always provides more accurate results

The importance of sample size in practical research is that it affects the reliability and generalizability of the study findings. A larger sample size generally provides more accurate results and allows for better representation of the population being studied.

Sample size has no impact on the reliability of research findings

Counting techniques

Some common statistical analysis techniques used to analyze experimental data include t-tests, ANOVA, regression analysis, chi-square tests, and correlation analysis.

Descriptive statistics

Qualitative analysis

The choice of experimental design has no impact on the validity of research findings

The choice of experimental design can impact the validity of research findings by influencing the control of variables, the ability to make causal inferences, and the generalizability of the results.

Validity of research findings is solely determined by the sample size, not the experimental design

Experimental design only impacts the speed of data collection, not the validity of research findings

Random sampling

Convenience sampling

Purposive sampling

Snowball sampling

Advantages: Interviews allow for in-depth exploration of responses. Disadvantages: Interviews can be time-consuming and may suffer from interviewer bias.

Advantages: Interviews are quick and easy to conduct. Disadvantages: Interviews provide limited information.

Advantages: Interviews always provide accurate information. Disadvantages: Interviews are expensive to administer.

Advantages: Interviews can only gather data from a small and homogenous group of people. Disadvantages: Interviews are not suitable for qualitative research.

Data analysis is not important in practical research.

Data analysis is important for drawing meaningful conclusions from research findings and identifying patterns or trends in the data.

Data analysis is only important for qualitative research, not quantitative research.

Data analysis is important for data collection, not for drawing conclusions.

SURVEY

EXPERIMENT