PR2 WEEK1-2 Flashcards

1
Q

advantages of qualitative research design

A

;verify results
;filter out external factors and produce unbiased results
;verify qualitative researches and narrow down possible results
;variables can easily be manipulated

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1
Q

refers to the overall strategy that a researcher uses to logically and coherently integrate the various components of a study

A

research design

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2
Q

Disadvantages of qualitative research design

A

;time consuming in data collection
;difficult and expensive to do
;requires statistical analysis
;very little room for uncertainty

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3
Q

is the most common design that observes and reports certain phenomenon or shows a
picture of a group

A

descriptive research design

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4
Q

common study designs used in descriptive research design

A

comparative descriptive design; cross-sectional and
longitudinal designs

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5
Q

descriptive statistical tools used in descriptive research design

A

Mean, Median, Mode, and Percentage, Frequency

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6
Q

research design that seeks for connection between one variable and how it affects another variable but not a “cause-and-effect” relationship which means no manipulation of variables

A

correlational research design

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7
Q

common study designs used in correlational research design

A

descriptive correlational designs, predictive designs

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8
Q

statistical tools used in correlational research design

A

Spearman’s rho (Spearman’s r)
Pearson product-moment correlation (Pearson’s r)

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9
Q

research design that aims to infer the causes of a phenomenon which have already occurred

A

(ex-post facto) causal comparative research design

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10
Q

study design used in causal comparative research design

A

questionnaires

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11
Q

statistical tools commonly used in causal comparative research design

A

Wilcoxon Signed-Rank Test

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12
Q

research design that aims to establish a cause-and-effect relationships that it may or may not have a control group or subjects and subjects are not randomly assigned to groups

A

quasi-experimental research design

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13
Q

common study designs used in the quasi-experimental research design

A

pre and post-test designs
post-test only designs
interrupted time series designs
non-equivalent designs

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14
Q

statistical tool used in quasi-experimental research design

A

Mann-Whitney U test

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15
Q

aims to establish cause-and-effect relationships and randomly assign individual participants/subjects to the treatment and control groups

A

experimental research design

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16
Q

common study designs in experimental research design

A

pre-test-post-test control group designs
post-test only control group designs
Solomon four-group designs

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17
Q

statistical tools used in experimental research design

A

t-test for independent sample (unpaired t-test)
One-way Anova

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18
Q

two kinds of sampling

A

probability and nonprobability sampling

19
Q

refers to the selection of a sample from a population is based on the principle of randomization

A

probability sampling

20
Q

is a sampling technique in which the researcher selects samples based on the subjective judgment of the researcher rather than random selection

A

nonprobability sampling

21
Q

types of simple random sampling

A

fishbowl technique
lottery method
sampling using table of random number

22
Q

This method of sampling is done by taking every kth element in the population

A

systematic sampling

23
Q

When the population can be partitioned into several strata (singular: stratum) or subgroups

A

stratified random sampling

24
Q

kinds of stratified sampling technique

A

Disproportionate Stratified Random Sampling
Proportionate Stratified Random Sampling

25
Q

This technique uses several stages or phases in getting the sample from the population

A

multi-stage or multiple sampling

26
Q

kinds of non-probability sampling techniques

A

judgement or purposive
quota sampling
incidental sampling
convenience sampling
snowball sampling

27
Q

This is relatively quick and inexpensive method to operate since the choice of the number of persons or elements to be included in a sample is done at the researcher’s own convenience or preference and is not predetermined by some carefully operated
randomizing plan

A

quota sampling

28
Q

This method is also referred as non-random or non-probability sampling. This is usually based on a certain criteria laid down by the researcher of his adviser

A

judgement or purposive sampling

29
Q

This design is applied to those samples which are taken because they are the most available

A

incidental sampling

30
Q

This method has been widely used in television and radio programs to find out opinions of TV viewers and listeners regarding a controversial issue. While the issue is being discussed in a talk show, who will call their telephone operators

A

convenience sampling

31
Q

In this type of sampling, the researcher asks the initial subject to identify another potential subject who also meets the criteria of the research

A

snowball sampling

32
Q

types of questions asked in data-collection instrument

A

Yes or No Type
Recognition Type
Completion Type
Coding Type
Subjective Type
Combination Type

33
Q

this type of question is asked when alternative responses are already provided, and the respondents simply choose among the given choices. It also contains close-ended questions

A

recognition type

34
Q

questions where the respondents are asked to fill in the blanks with the necessary information. Questions are open-ended

A

completion type

35
Q

questions where numbers are assigned to names, choices, and other pertinent data

A

coding type

36
Q

questions that lets the respondents are free to give their opinions about an issue of concern

A

subjective type

37
Q

The questionnaire is a combination of two or more types of questions

A

combination type

38
Q

scales that are commonly used in instruments

A

Likert scale
Semantic differential scale

39
Q

is a type of composite measure that is composed of several items that have a logical or empirical structure among them.

A

scale

40
Q

4 commonly used scales in social science research

A

LIKERT SCALE
BOGARDUS SOCIAL DISTANCE SCALE
THURSTONE SCALE
SEMANTIC DIFFERENTIAL SCALE

41
Q

created by sociologist Emory S. Bogardus as a technique for measuring the willingness of people
to participate in social relations with other kinds of people

A

Bogardus social distance scale

42
Q

created by Louis Thurstone, is intended to develop a format for generating groups of indicators of a variable that have an empirical structure among them

A

Thurstone scale

43
Q

this scale asks respondents to answer a questionnaire and choose
between two opposite positions, using qualifiers to bridge the gap between them

A

semantic differential scale

44
Q

steps in instrument construction

A

Content Validation
Face Validity
Pilot Testing
Final Administration
Evaluation of the test

45
Q

3 types of Validity analyses

A

CONTENT VALIDITY
CONCURRENT VALIDITY
CONSTRUCT VALIDITY

46
Q
A