Chapter 5 Flashcards

(59 cards)

1
Q

An activity to obtain relevant information regarding the specified research questions or objectives

A

DATA COLLECTION

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2
Q

DATA COLLECTION INSTRUMENTS

A

Questionnaires
Interviews
Tests
Observation

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3
Q

A paper-based or electronic tool for collecting information about a particular research interest

A

Questionnaire

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4
Q

Types of Questionnaire

A

structured
unstructured
semi-structured

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5
Q

uses closed-ended questions

A

structured

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6
Q

allows participants to respond to open-ended questions

A

unstructured

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7
Q

have characteristic of both structured and unstructured

A

semi-structured

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8
Q

used mainly for assessing various skills and types of behavior as well as for describing certain characteristics

A

Test

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9
Q

scored uniformly across different areas and groups

A

STANDARDIZED TEST

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10
Q

administered to specific sets of people

A

NON-STANDARDIZED TEST

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11
Q

2 MOST COMMON TYPES OF TEST

A

*Achievement Test
*Aptitude Test

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12
Q

Types of Test Questions

A

Recall Questions
Recognition Questions
Open-Ended Questions

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13
Q

Close Test, Identification, Enumeration

A

Recall Questions

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14
Q

Multiple-choice, Matching, Dichotomous

A

Recognition Questions

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15
Q

Non-performance Based, Performance Based

A

Open-Ended Questions

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16
Q

is a method of collecting data about an individual’s behaviors, opinions, values, emotions, and demographic characteristics using numerical data.

A

Interview

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17
Q

Allows the researcher to examine an actual phenomenon or behavior of a subject or participant

A

Observation

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18
Q

participants alter their behavior due to their awareness that they are being observed

A

Hawthorne Effect

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19
Q

Forms of Observation

A

Controlled Observation
Natural Observation
Participant Observation

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20
Q

provides more reliable data because they are obtained through a structured and well-defined process

A

Controlled Observation

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21
Q

researcher does not control the circumstances but allows the natural flow of events to happen

A

Natural Observation

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22
Q

allows researcher to become a member of the group or community that the participants belong to

A

Participant Observation

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23
Q

A document that provides the participants with the information they need in deciding whether they will participate or not in your study

A

Informed Consent Form (ICF)

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24
Q

Involves editing, coding, tabulating, and summarizing information through graphs and tables

A

DATA PROCESSING TECHNIQUE

25
Gathered data are checked for consistency, accuracy, organization, and clarity
editing
26
Gathered data are classified into categories, numerals, symbols, or other systems of labeling
coding
27
Raw data are condensed into a more compact form; table is used
tabulating
28
The data being edited, coded, and tabulated are presented through
non-prose materials
29
are graphic or visual representations of sets of data or information
Non-prose materials
30
Help condense and classify information using columns and rows
TABLES
31
Focus on immediately representing how a change in one variable relates to another
GRAPHS
32
Contains vertical and horizontal bars and comparisons of amounts and quantities
bar
33
Shows trends and changes in the data
line
34
Shows the relationship of parts to a whole, usually in percentages and proportions
circle or pie
35
2 Types of Statistical Tests
1. Parametric Test 2. Non-parametric Test
36
involves the use of statistical tests to address research questions or objectives, and to examine the relationship between the DV and IV
Data Analysis
37
involves two variables DV and IV
bivariate data
38
Identify which statistical info is most important
DATA GATHERING
39
rests on a number of assumptions about the distribution of data (have more stat power)
Parametric test
40
rests on a few or no assumptions regarding the distribution of data
Non-parametric test
41
5 of the most common stat techniques
Pearson’s r Spearman’s rho ANOVA Multiple Regression t test
42
Parametric stat method used for determining whether there is a linear relationship between variables
Pearson’s r
43
Parametric stat method used for determining whether there is a linear relationship between variables
Pearson’s r
44
Non-parametric stat method that tests the relationship between ordinal variables
Spearman’s rho
45
Tests differences among the means of more than two groups of samples
ANOVA
46
Tests differences among groups concerning one variable
one-way ANOVA
47
Tests relationships between 2 nominal IV and 1 interval/continuous DV
two-way ANOVA
48
Tests relationship between 1 DV and at least 2 IV
Multiple Regression
49
Parametric stat method that tests the difference between 2 means
T-test
50
Paired t-test Sample groups highly related to each other
T-test Two dependent samples
51
Tests the difference between data sets from 2 different groups
T-test Two independent samples
52
Process of determining whether there is a sufficient statistical evidence to support your hypothesis
HYPOTHESIS TESTING
53
the probability value that must be reached before the findings obtained will be statistically significant
Alpha level
54
alpha level for social science
0.05
55
alpha level for sciences
0.01 or 0.001
56
the value that determines whether to reject or not to reject the null hypothesis
Test statistic
57
2 APPROACHES IN HYPOTHESIS TESTING
Critical value approach P-value approach
58
How likely or unlikely the data obtained will meet the values suggested by HA
Critical value approach
59
How extreme the findings must be leaning to the HA
P-value approach