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1
Q

It is a process of getting information from a proper subset of population

A

sampling

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2
Q

Choosing of respondents or subjects from a large population to answer your research questions

A

sampling

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3
Q

an aggregate or a set of all units/cases (may be people, things, events, etc.) being studied having at least one common characteristics.

A

population

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4
Q

a big group of people from where you choose the sample

A

population

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5
Q

“a smaller (but hopefully representative collection of units from a population used to determine truths about that population” (Field, 2005)

A

sample

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6
Q

a chosen set of people to represent the population

A

sample

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7
Q

randomly selected subgroup of people or objects from the overall membership pool of a define target population

A

sample

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8
Q

the number of respondents/subjects that you are going to use in the study

A

sample size

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9
Q

could be gotten through the use of Slovin’s Formula ( n= N/ 1 + Ne^2 )

A

sample size

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10
Q

used to compute for sample size

A

SLOVIN’S FORMULA

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11
Q

used when you have limited information on the characteristics of the population and are using non-probability sampling procedure

A

SLOVIN’S FORMULA

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12
Q

each member of the defined population has an equal chance of being selected

A

PROBABILITY SAMPLING

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13
Q

gives the researcher the opportunity to assess sampling error

A

PROBABILITY SAMPLING

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14
Q

a type of sampling in which all members of the population are given a chance of being selected.

A

scientific sampling

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15
Q

a method of choosing samples in which
ALL THE MEMBERS OF THE POPULATION are given EQUAL CHANCE TO BE SELECTED as respondents.

A

SIMPLE RANDOM SAMPLING

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16
Q

a method of selecting every nth element of the population.

A

SYSTEMATIC RANDOM SAMPLING

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17
Q

after the size of the sample has been determined, the selection of the sample follows.

A

SYSTEMATIC RANDOM SAMPLING

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18
Q

a probability sampling option where the population is broken down/ separated into strata like segments or sections

A

STRATIFIED RANDOM SAMPLING

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19
Q

refers to the procedure of collecting, measuring and analyzing accurate insights for research using standard validated techniques.

A

data collection

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20
Q

Researchers can evaluate their hypothesis on the basis of collected data.

A

data collection

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21
Q

the primary and most important step for research, irrespective of the field of research.

A

data collection

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22
Q

varies, depending on different fields of study, depending on the required information.

A

data collection

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23
Q

A tool used to collect, measure, and analyze data related to your research interests.

A

Research Instrument

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24
Q

• Pros: In-depth and a high degree of confidence on the data J
• Cons: Time consuming, expensive and can be dismissed as anecdotal

A

In-Person Interviews

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25
Q

• Pros: Can reach anyone and everyone - no barrier
• Coms: Expensive, data collection errors, lag time

A

mail surveys

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26
Q

• Pros: High degree of confidence in the data collected, reach almost anyone
• Cons: Expensive, cannot self-administer, need to hire an agency

A

phone surveys

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27
Q

• Pros: Cheap, can self-administer, very low probability of data errors E
• Cons: Not all your respondents might have an email address/be on the internet, they may be wary of divulging information online.

A

Web/Online Surveys & Online Interview

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28
Q

the interaction where verbal questions are posed by an interviewer to elicit verbal responses from an interviewee.

A

Interview

29
Q

narratives or self-disclosures about the person’s life experiences.

A

Life Histories

30
Q

questioning follows a particular sequence, has well-defined content

A

Structured

31
Q

free-wheeling exchange of ideas, in the form of normal conversation

A

Unstructured

32
Q

has set of questions prepared and additional probes

A

Semi-structured

33
Q

analyzing data from sources or documents.

A

Documentary Analvsis

34
Q

(watching what people do) is a type of correlational (non-experimental) method where researchers observe ongoing behavior.

A

Observation

35
Q

using checklist as a data collection tool

A

Structured

36
Q

observing things as they happen

A

Unstructured

37
Q

provides possible answers/ with choices

A

Structured

38
Q

does not provide options/ choices

A

Unstructured

39
Q

involves the collection of physical data from subjects

A

Physiological Measures

40
Q

more accurate, more objective

A

Physiological Measures

41
Q

self-reported measures that assess differences in personality, traits, needs and values of people.

A

Personality Inventories

42
Q

the subject is presented with a stimulus, asked to describe it

A

Projective Techniques

43
Q

a research instrument consisting of a series of questions for the purpose of gathering information from carefully chosen respondents.

A

Questionnaires

44
Q

can be thought of as a kind of written interview. They can be carried out face to face, by telephone, and nowadys, thru online.

A

Questionnaires

45
Q

provide a relatively cheap, quick and efficient way of obtaining large amounts of information from a large sample of people (McLeod, 2018).

A

Questionnaires

46
Q

can be an effective means of measuring the behavior, attitudes, preferences, opinions and, intentions of relatively large numbers of subjects more cheaply and quickly than other methods.

A

Questionnaires

47
Q

the answer by only allowing responses which fit into pre-decided categories.

A

Closed questions

48
Q

Data that can be placed into a category

A

nominal data

49
Q

The category can be restricted to as few as two options, i.e., dichotomous (e.g., ‘YES’ or ‘NO,’ ‘MALE’ or ‘FEMALE’), or include quite complex lists of alternatives from which the respondent can choose.

A

nominal data

50
Q

can also provide ordinal data (which can be ranked). This often involves using a continuous rating scale to measure the strength of attitudes or emotions (McLeod, 2018).

A

Closed questions

51
Q

Make sure that all questions asked address the aims of the research. However, use only one feature of the construct you are investigating in per item (McLeod, 2018).

A

aims

52
Q

The longer the questionnaire, the less likely people will complete it. Questions should be short, clear, and be to the point; any unnecessary questions/items should be omitted (McLeod, 2018).

A

length

53
Q

Run a small scale practice study to ensure people understand the questions. People will also be able to give detailed honest feedback on the questionnaire design (McLeod, 2018).

A

pilot study

54
Q

Questions should progress logically from the least sensitive to the most sensitive, from the factual and behavioral to the cognitive, and from the more general to the more specific.
The researcher should ensure that the answer to a question is not influenced by previous questions (McLeod, 2018).

A

QUESTION ORDER

55
Q

There should be a minimum of technical jargon. Questions should be simple, to the point and easy to understand.
The language of a questionnaire should be appropriate to the vocabulary of the group of people being studied. Use statements which are interpreted in the same way by members of different subpopulations of the population of interest (McLeod, 2018).

A

terminology

56
Q

it is a process of understanding the collected data using statistical treatment (quantitative) or thematic analysis (qualitative) to come-up with meaningful conclusion that satisfies your objectives of study.

A

data analysis

57
Q

According to Baraceros (2015), “its a process of understanding data or known facts or assumptions serving as the basis of any claims or conclusion you have about something.

A

data analysis

58
Q

describes the relationship of 2 variables and also tests the strength or significance of their linear relation.

A

correlation

59
Q

measures the dependency of dependent to independent variable

A

spearman’s rho

60
Q

test whether or not relationship exist between among variables, and tests whether caused by chance

A

chi square

61
Q

the mean of the sample reflects the mean of the population where the sample was drawn. It also tests the difference of between two means.

A

t test

62
Q

determine how strong relationship of the variables are.

A

regression

63
Q

It contains an explanation of the research design, a description of the participants and setting, the instrument, its validation and reliability, ethical considerations, data-gathering procedure, and the treatment of data.

A

methodology

64
Q

a blueprint of a scientific study. It includes research methodologies, tools, and techniques to conduct the research.

A

research design

65
Q

It helps to identify and address the problem that may rise during the process of research and analysis.

A

research design

66
Q

Choose the appropriate research design you are going to use

A

research design

67
Q

Two important aspects of context are the setting (where the study is taking place) and the participants (who is included in the study).

A

settings and participants

68
Q

It is critical that both of these aspects are adequately considered and explained so that meaningful conclusions can be drawn from the data.

A

settings and participants

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