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
understanding multiple participant meanings social and historical construction theory generation
constructivism
26
consequences of actions problem centered pluralistic real world practice oriented
pragmatism
27
8 cha. of quanti research
quantify a problem random sampling deductive reasoning object based researchh systematic operations advanced statistical analysis graphical data representation numerical projection of perceptions
28
testing objective theories by examining the relationship among variables.
Quantitative research
29
compares two or more groups in terms of a cause (or independent variable) no randomization
causal-comparative research
30
(with the random assignment of subjects to treatment conditions)
true experiment
31
(use nonrandomized assignments)
quasi-experiment
32
use the correlational statistics to describe and measure the degree or association (or relationship) between two or more variables or sets of scores
correlational research
33
It includes cross-sectional and longitudinal studies
survey research
34
example of intervention research
experimental research: true experiment quasi- expe
35
ex of non-intervention research
non-experimental: correlational survey (descriptive)
36
4 experimental designs
pre- experimental true expe quasi expe statistical
37
commonly exployed EXPE DESIGN
QUASI
38
type of ed that has pre,post test, control group, solomon four group
true expe
39
types of quasi
time series multiple time series
40
types of statistical reseach design
randomized blocks latin square factorial design
41
causal vs. correlational
causal comparative - one categorical variable corre - quantitative variables
42
there is significant difference / relationship in the conclusion even if there is none
type 1 error
43
there is no significant difference / relationship in the conclusion even if there is
type 2 error
44
is central in the quantitative research process.
Data collection