Data Analysis Techniques in Research Methods for Social Work (MSW)

Question 1

Which of the following is a disadvantage of using a qualitative research approach?

Accepted Answer

Generates data that can be easily generalized to a larger population

Answer

Provides in-depth understanding of the research topic

Answer

Allows for flexibility in data collection and analysis

Answer

Facilitates the exploration of complex social phenomena

Question 2

In data analysis, which statistical test is most suitable for examining the relationship between two categorical variables?

Accepted Answer

Chi-square test

Answer

Analysis of Variance (ANOVA)

Answer

Linear regression

Answer

Student's t-test

Question 3

Which of the following is **not** a type of descriptive statistic?

Accepted Answer

Correlation

Answer

Mean

Answer

Median

Answer

Standard deviation

Question 4

What is the purpose of inferential statistics?

Accepted Answer

To draw conclusions about a larger population based on a sample.

Answer

To summarize and describe data.

Answer

To analyze qualitative data.

Answer

To test hypotheses.

Question 5

Which among the following is NOT a descriptive statistic?

Accepted Answer

Regression analysis

Answer

Mean

Answer

Median

Answer

Mode

Question 6

What is the primary purpose of a hypothesis test?

Accepted Answer

To determine whether there is evidence against a hypothesis

Answer

To prove a hypothesis

Answer

To describe the characteristics of a population

Answer

To estimate the value of a parameter

Question 7

Which of the following is a qualitative data analysis technique?

Accepted Answer

Thematic analysis

Answer

Factor analysis

Answer

Regression analysis

Answer

Analysis of variance

Question 8

What is the significance level in a hypothesis test?

Accepted Answer

The probability of making a Type I error

Answer

The probability of rejecting a true hypothesis

Answer

The probability of accepting a false hypothesis

Answer

The probability of obtaining the observed results

Question 9

What is the fundamental difference between a parameter and a statistic?

Accepted Answer

A parameter is a value that describes a population, while a statistic is a value that describes a sample

Answer

A statistic is a value that describes a population, while a parameter is a value that describes a sample

Answer

There is no difference between a parameter and a statistic

Answer

A parameter is a fixed value, while a statistic is a variable value

Question 10

What is the primary purpose of a research proposal?

Accepted Answer

To outline the research question and methods

Answer

To obtain funding for the research

Answer

To present the findings of the research

Answer

To evaluate the research

Question 11

Which of the following examples represents an inferential statistical test?

Accepted Answer

Chi-square test

Answer

Mean and standard deviation

Answer

Frequency and percentage

Answer

Mode and median

Question 12

Qualitative data analysis involves:

Accepted Answer

Examining non-numerical information, such as narratives, interviews, and observations

Answer

Using statistical software to draw numerical conclusions from data

Answer

Quantifying and analyzing numerical data

Answer

Generalizing findings to a broader population beyond the sample

Question 13

Which software is commonly utilized for quantitative data analysis in social work research?

Accepted Answer

IBM SPSS Statistics

Answer

Microsoft Word

Answer

Microsoft Excel

Answer

NVivo

Question 14

In hypothesis testing, the null hypothesis generally states that:

Accepted Answer

There is no significant difference between the groups being compared

Answer

There is a significant difference between the groups being compared

Answer

The relationship between variables is positive

Answer

The relationship between variables is negative

Question 15

In qualitative research, the concept of 'data saturation' refers to the point when:

Accepted Answer

No new meaningful insights or patterns emerge from the collected data

Answer

The sample size reaches a predetermined number

Answer

The research question has been fully answered

Answer

The data analysis process is complete

Question 16

In qualitative research, which data analysis technique is primarily used to identify and categorize key themes and ideas?

Accepted Answer

Content analysis

Answer

Regression analysis

Answer

Hypothesis testing

Answer

Descriptive statistics

Question 17

Which descriptive statistic is most appropriate for comparing the central tendencies of two groups?

Accepted Answer

Independent samples t-test

Answer

Chi-square test

Answer

Mean

Answer

Standard deviation

Question 18

Which inferential statistical technique is used to make predictions about a population based on a sample?

Accepted Answer

Regression analysis

Answer

ANOVA

Answer

Factor analysis

Answer

Correlation

Question 19

What is the primary purpose of using a scatterplot in data analysis?

Accepted Answer

To visually examine the relationship between two variables

Answer

To test hypotheses about population parameters

Answer

To compare the means of two groups

Answer

To summarize the distribution of a single variable

Question 20

Which ethical consideration is paramount when conducting data analysis in social work research?

Accepted Answer

Ensuring the confidentiality and privacy of research participants

Answer

Using the most advanced statistical techniques possible

Answer

Ensuring that the results are statistically significant

Question 21

Which of the following is NOT a type of data transformation commonly used in data analysis?

Accepted Answer

Clustering

Answer

Standardization

Answer

Discretization

Answer

Logarithm

Question 22

What is the role of statistical significance in data analysis?

Accepted Answer

To assess the likelihood that the observed results are due to chance or to a meaningful relationship between variables

Answer

To prove that the results are accurate

Question 23

Which of the following is a limitation of descriptive statistics?

Accepted Answer

They do not provide information about relationships between variables

Answer

They are only useful for small sample sizes

Answer

They can be difficult to interpret

Question 24

What is the primary distinction between qualitative and quantitative data analysis approaches?

Accepted Answer

Qualitative analysis focuses on understanding patterns and themes, while quantitative analysis involves numerical data and statistical analysis

Answer

Qualitative data analysis is more subjective than quantitative data analysis