WorksheetsResearch Methodology
Total questions: 15
Worksheet time: 45mins
When a researcher aims to investigate the life and experiences of an alcoholic, a drug dependent or a successful entrepreneur, which will s/he most likely choose as a qualitative research design?
Grounded Theory
Ethnography
Phenomenological
Case Study
If a researcher aims to investigate the lived experiences of a political detainee or an illegal immigrant, as well as the significant remarks of the research participant, which will s/he most likely choose?
Content Analysis
Phenomenological
Ethnography
Case Study
When a researcher aims to focus on the experiences of disaster victims, as related to texts which are examined carefully, which will s/he most likely use?
Case Study
Phenomenological
Historical
Descriptive
In which qualitative research design are the choice and use of words, as well as the relations of words sources of meaning are the main focus?
Content Analysis
Phenomenological
Ethnography
Descriptive
If a researcher would like to study the way of life of the Mangyans, their folkways and mores, s/he will most likely use:
Ethnography
Phenomenological
Case Study
Content Analysis
If a researcher works at a cafeteria and observes the waiters, this is an example of:
observation
interview
focus group
document review
Qualitative research involves looking at data:
numerical
non-numerical
categorical
statistical
Document reviews as a method of data collection can make use of the following:
written reports
historical records
minutes of meetings
all of the above
Which of the following data collection techniques is not applicable for qualitative research?
interview
questionnaire
observation
narratology
Which of the following is not true?
Content analysis is concerned with frequencies while thematic analysis is concerned with inferences and explanations
Both content analysis and thematic analysis are concerned with themes and patterns
Content analysis is used for both qualitative and quantitative research
Thematic analysis is easier to use than content analysis
To conduct this kind of sampling procedure, the researcher must have a list of all members of the population of interest. From this list, the sample is drawn so that each person has an equal chance of being drawn. To avoid researcher bias, computerized sampling programs or random number tables may be used. Reducing bias enables the researcher to estimate sampling errors derived through statistical calculations.
SIMPLE RANDOM SAMPLING
STRATEFIED RANDOM SAMPLING
CLUSTER SAMPLING
SYSTEMATIC SAMPLING
In this kind of sampling, the researcher selects every nth member after randomly selecting the first, through nth element as starting point. For example, if the researcher decides to sample every 20th member of the population, a 5 percent sample, the starting point for the sample is randomly selected from the first 20 members of the sampling frame. This kind of sampling may spread the members selected for measurement more evenly across the entire population.
SIMPLE RANDOM SAMPLING
STRATEFIED RANDOM SAMPLING
CLUSTER SAMPLING
SYSTEMATIC RANDOM SAMPLING
This involves categorizing the members of the population into mutually exclusive and collectively exhaustive groups. An example would be determining the average income earned by vendors in a city. To obtain more precise estimates, the researcher may stratify the samples by barangays.
SIMPLE RANDOM SAMPLING
STRATEFIED RANDOM SAMPLING
CLUSTER RANDOM SAMPLING
SYSTEMATIC RANDOM SAMPLING
This type samples a population that has been subdivided into classes or categories. It differs from stratified and cluster sampling in that the classes in both are mutually exclusive and are isolated prior to sampling. Thus, the probability of being selected is known, and members of the population selected to be sampled are not arbitrarily disqualified from being included in the results.
SIMPLE RANDOM SAMPLING
QUOTA SAMPLING
CONVENIENCE SAMPLING
JUDGEMENTAL SAMPLING
It refers to a sampling procedure in which every participant is given an equal chance to be part of the study as participants/respondents.
PROBABILITY SAMPLING
NON-PROBABILITY SAMPLING
SIMPLE RANDOM
CLUSTER RANDOM
