Exam 2 Flashcards

0
Q

Normal distribution/normal curve

A

Bell curve, theoretical distribution of scores

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1
Q

Descriptive statistics

A

Essential info about variables and date is it

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2
Q

Skewed curve is

A

Characterized by the data being bunch to one side or another

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3
Q

Measures of central tendency

A

Mean median mode

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4
Q

What is the mean

A

Most common means of central tendency, most sensitive to high or low scores, depends on all scores, Average

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5
Q

Standard deviation

A

Representation of variability in data set also interval/ratio data

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6
Q

hypothesis testing is

A

Decision-making

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7
Q

Significance level

A

The level of error the researcher is willing to make that for each test

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8
Q

Characteristics of significance level/

A

Same as probability level is P or alpha level that before competing test

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9
Q

How to find standard deviation

A

Find mean, subtract mean from all data numbers, then square that answer, then add them up, then divide by n, then find the square root

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10
Q

Four sections of the quantitative research report are

A

Literature review methods results discussion

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11
Q

The literature review should include

A

A review or summary of the research completed prior to the study, literature that supports and contradicts the researchers position, The hypothesis in research questions often presented at the end of the section, analysis and critique of research completed prior to the study

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12
Q

After reading the methods section of a quantitative research report, you should know

A

What the researcher did to collect the data

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13
Q

The reporting accuracy of numerical information is most critical in which section?

A

Results

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14
Q

The discussion section is characterized by

A

The researchers interpretation of the results

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15
Q

What is stratified random sample

A

Random sampling within also groups based on homogeneous heterogeneous characteristic

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16
Q

What is cluster sampling?

A

Clusters of people within target population natural subgroups Are randomly with sample

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17
Q

What is simple random sample?

A

Simplest and quickest pull names from a hat

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18
Q

What is systematic sampling?

A

Selecting every “n” person

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19
Q

What are the types of probability sampling?

A

Simple random, systematic, stratified random, cluster

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20
Q

What is network sampling?

A

Reasearch solicits those who fit profile for participation

21
Q

Purposive sampling?

A

Used to select those who are typical of the population of interest

22
Q

What is quota sampling?

A

Target numbers use for finding people that meet regulation

23
Q

What is inclusion exclude sampling

A

Include ppl that meet certain criteria exclude those that don’t

24
Snowball sampling?
Participants help researchers by referring others who meet sampling requirement
25
Convenience sample?
People can be easily reach very biased
26
Volunteers sapling?
Like individuals that show interest in the study
27
What are the seven nonprobability sampling?
Convenience, volunteer, inclusive and exclusivity snowball network purposive and
28
Longitudinal design
Multiple measurements of DV, length of time b/we measurements is relative to topic of study, creater length of time b/w means more likely that other factors influence DV, training can be evaluated for it's effectiveness
29
Experimental research
Most often occurs in the lab, controlled by researcher , produces data examined by stats test, seeks to determine causation, probability sampling and random assignment
30
Research protocol
Details each procedural step of research design
31
Researchers can influence results of experimental design by
Personality; characteristics can influence how participants respond and unknowingly encouraging answers that support their predictions
32
Descriptive designs
Less specific to temporal order in which variables are observed & measured . Researchers does not control IV
33
Factorial design
2 or more IV can be tested, effect of IV can be examined, interaction effect of each combo of IVs can be examined
34
Pretest - post test experimental design
Participants are randomly assigned to treatment and control groups & researcher measures DV 2x before and after exposure to stimulus
35
A manipulation check is used to determined.,.
If the IV was manipulated as the researcher intended
36
Treatment groups
Based on theory and reflected in research hypothesis & compared to control groups
37
Experimental vs quasi- experimental
Researcher controls manipulation of IV in experimental but NOT quasi
38
Inferential statistics are used to?
Draw conclusions about a population by examining the data from a sample
39
The four analytical steps include all but:
Determine if respondents answered the questions as the researcher expected
40
The chi-square
Compares the observed frequency with the expected frequency
41
A contingency analysis is also called
2 way chi square, 2D chi square, contingency table
42
The t test is
Restricted to one independent variable, restricted to one dependent variable, restricted to two grouping or categories of the independent variable and can test independent it dependent groups
43
A paired comparison t test
Compares two matched scores on the independent variable
44
A one tailed t test tests for
A significant difference in a specified direction
45
When a researcher uses an ANOVA. You can assume
The independent variable is nominal level data and the dependent variable is continuous level data
46
ANOVA stands for
Analysis of variance
47
To test for the interaction effect the statistic must be
Two way ANOVA
48
A correlation is the statistical test for
Testing the linear relationship between two continuous level variables
49
R squared is used to determine
The amount of variance two variables have in common
50
A correlation coefficient must be interpreted both for it's
Strength and direction
51
A correlation matrix displays
Displays how every variable is correlate with every other variable