nature and types of quantitative research Flashcards

1
Q

plans and procedures for research that span the steps from broad assumptions to detailed methods of data collection, analysis, and interpretation.

A

research approach

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2
Q

strategies or types of inquiry that provide specific direction for procedures in a research design

A

research design

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3
Q

specific steps of data collection, analysis and interpretation

A

research methods

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4
Q

attribute (e.g., attitude toward flexible learning) or characteristic of individuals (e.g., gender) that researchers study

A

Variables

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5
Q

is the outcome (or response) variable. Changes in the dependent
variables are presumed to be caused or influenced by the independent
variable.

A

Dependent
Variables

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6
Q

is the variable that is being manipulated, or the one that varies. It is
sometimes called the ‘predictor’ or ‘treatment’ variable.

A

Independent
Variables

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7
Q

is any variable that you’re not investigating that can potentially
affect the outcomes of your research study. If left uncontrolled, it
can lead to inaccurate conclusions about the relationship
between independent and dependent variables.

A

Extraneous
Variables

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8
Q

group of individuals having common characteristics that are the interest of a researcher

A

population

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9
Q

representative group of individuals from a particular population

A

sample

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10
Q

process of drawing a representative group of individuals from a particular population

A

sampling

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11
Q

variation between the means of sample groups as well as population means

A

sampling error

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12
Q

probability of each element in the population is ensured for being selected as sample unit for study

A

random sampling techniques

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13
Q

samples are selected from the population without randomization.

A

non-random sampling techniques

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14
Q

nonexperimental research based on primary research objective. what are these?

A
  1. descriptive research
  2. predictive research
  3. explanatory research
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15
Q

a research obj where there is no manipulation of variables involved

A

descriptive research

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16
Q

types of time dimension

A
  1. coss-sectional research
  2. longitudinal research
    a. trend studies
    b. panel or prospective studies
  3. retrospective research
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17
Q

datas are collected from the research participants at a single point in time or during a single relatively brief time period, data directly apply to each case at that single time period, and comparisons are made across variables of interest

A

cross-sectional research

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18
Q

data are collected at more than one time point or data collection period and the researcher makes comparisons across time

A

longitudinal research

19
Q

under longitudinal research where independent sampls are taken from a population over time and the same questions are asked

A

trend studies

20
Q

same individuals are studied at successive points over time

A

panel or prospective studies

21
Q

the researcher looks backward in time (start with the dependent variable and moving backwards in time to locate information on independent variables that help explain current differences on dependent variable.

A

retrospective research

22
Q

4 worldviews

A

postpositivism
transformative
constructivism
pragmatism

23
Q

determination
reductionism
empirical observation and measurement
theory verification

A

postpositivism

24
Q

political
power and justice oriented
collaborative
change-oriented

A

transformative

25
Q

understanding
multiple participant meanings
social and historical construction
theory generation

A

constructivism

26
Q

consequences of actions
problem centered
pluralistic
real world practice oriented

A

pragmatism

27
Q

8 cha. of quanti research

A

quantify a problem
random sampling
deductive reasoning
object based researchh
systematic operations
advanced statistical analysis
graphical data representation
numerical projection of perceptions

28
Q

testing objective theories by examining the
relationship among variables.

A

Quantitative research

29
Q

compares two
or more groups
in terms of a
cause (or
independent
variable)

no randomization

A

causal-comparative research

30
Q

(with the random
assignment of subjects
to treatment conditions)

A

true experiment

31
Q

(use nonrandomized
assignments)

A

quasi-experiment

32
Q

use the correlational statistics to describe
and measure the degree or association
(or relationship) between two or more
variables or sets of scores

A

correlational research

33
Q

It includes cross-sectional and longitudinal studies

A

survey research

34
Q

example of intervention research

A

experimental research:

true experiment
quasi- expe

35
Q

ex of non-intervention research

A

non-experimental:

correlational
survey (descriptive)

36
Q

4 experimental designs

A

pre- experimental
true expe
quasi expe
statistical

37
Q

commonly exployed EXPE DESIGN

A

QUASI

38
Q

type of ed that has pre,post test, control group, solomon four group

A

true expe

39
Q

types of quasi

A

time series
multiple time series

40
Q

types of statistical reseach design

A

randomized blocks
latin square
factorial design

41
Q

causal vs. correlational

A

causal comparative - one categorical variable
corre - quantitative variables

42
Q

there is significant difference / relationship in the conclusion even if there is none

A

type 1 error

43
Q

there is no significant difference / relationship in the conclusion even if there is

A

type 2 error

44
Q

is central in the
quantitative research process.

A

Data collection