Chap 1 Flashcards

1
Q

5 Characteristics of Solving Problems

A

Systematic, Logical, Empirical, Reductive, Replicable

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2
Q

Systematic

A

Identification, Labeling, Research of Testing, evaluation

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3
Q

Logical

A

Examination

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4
Q

Empirical

A

collection of data to base directions

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5
Q

reductive

A

processing events and using them to establish relationships

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6
Q

Replicable

A

repeating research or building research of previous results

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7
Q

applied research

A

theory driven, lab

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8
Q

moderate research

A

theory driven using revelent movements, similar to real world

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9
Q

basic research

A

immediate solutions, real world

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10
Q

scientific method of problem solving

A

defining and delaminating the problem, forming hypothesis, gather data, analyze data, interrupt data

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11
Q

unscientific methods of problem solving

A

tenacity, intuition, authority, rationalistic, empirical

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12
Q

tenacity

A

beliefs regarding lack of supporting evidence

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13
Q

intuition

A

common sense or self evident

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14
Q

authority

A

accept or reject the information

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15
Q

rationalistic

A

reasoining

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16
Q

empirical mehtod

A

based on objective observations

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17
Q

Parts of a Thesis

A

Proposal of research plan, completing thesis

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18
Q

proposal of research plan

A

intro, review, method

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19
Q

completing thesis

A

result

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20
Q

kinesiology

A

study of the bodys movement

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21
Q

identifying a research problem

A

broad focus, reading review paper, read research lit,

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22
Q

criteria in selecting a research problem

A

researchable, interest, unity, worthwhile, feasible, timely, look without prejudice, prepared in tech to address problem

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23
Q

six steps in the lit search

A

write the problem statement, consult secondary sources, determine descriptors, find primary sources, read and record lit, write lit review

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24
Q

developing the research hypothesis

A

research hypothesis, educated guess

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25
Q

null hypothesis

A

no significant differences between groups

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26
Q

possible problem with research problem

A

research problem is identifying area that isn’t well understood in lit

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27
Q

dependent variable

A

what we want to know effect

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28
Q

independent variable

A

manipulated by researcher cause

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29
Q

extraneous variable, confounding variable

A

acts as independent variable but it is not

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30
Q

what is in a well written method section

A

someone can duplicate your methods, includes participants, instrument, procedures, design, analysis

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31
Q

2 principles of planning

A

less is more and simple is better

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32
Q

scientific misconduct

A

fabrication, falsification, plagiarism in proposing performing reviewing research or in reporting research results.

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33
Q

institutional review board(irb)

A

reviews studies from human studies, protection

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34
Q

animal subject committee(iacuc)

A

protects animals

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35
Q

informed consent document

A

approval of consent

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36
Q

types of statistics

A

descriptive, correlation, differences among groups

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37
Q

descriptive statistics

A

describing what we see

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38
Q

correlation statistics

A

pearson correlation(r) measures linear association between two variable

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39
Q

differences among groups

A

differences

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40
Q

ways to select a sample

A

random sampling, stratified random sample, systematic sampling, random assignment

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41
Q

gold standard to sampling

A

simple random sample

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42
Q

measures of central tendency scores

A

mean, median, mode

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43
Q

variability of central tendency scores

A

standard deviation, range of scores

44
Q

X bar refers to as

A

sample mum

45
Q

m refers to as

A

population mean

46
Q

standard deviation is what letter

A

s

47
Q

variance is what letter

A

s^2

48
Q

categories of statistical tests

A

parametric, nonparametric, normal curve

49
Q

parametric data is continuious

A

ratio, interval

50
Q

non parametric data non continuous

A

nominal=name, ordinal=order

51
Q

normal curve

A

skewness, kurtosis

52
Q

ratio parametric data always begins at

A

0

53
Q

interval parametric data

A

doesn’t always begin at 0

54
Q

skewness distribution is

A

on one side or the other distribution

55
Q

kurtosis

A

doesn’t seem normal

56
Q

if something is significant it means that

A

statistically significant = certain within a minimal level of error

57
Q

type one error

A

(a) probability of mistakenly rejecting the null hypothesis

58
Q

type two error

A

(b) probability of failing to reject when you should have

59
Q

probability testing

A

(p) producing a type 1 error

60
Q

if results are greater than .05 than it is concluded that it is

A

not significant enough

61
Q

if results are less than .05 that it is concluded that it is

A

significant

62
Q

alpha numerical is what

A

preset

63
Q

beta numerical is what

A

not preset

64
Q

correlation is what

A

relationship between two characteristics

65
Q

if its -1.0 what is it called

A

perfect negative correlation

66
Q

if its 1.0 what is it called

A

perfect positive correlation

67
Q

little r =

A

Pearson product correlation

68
Q

reliability of r is symbolled by what

A

r

69
Q

interpreting the meaningfulness of r is symbolled by what

A

r2

70
Q

regression equation is also called what

A

prediction

71
Q

simple regression is explained as

A

predicting 1 value from 1 variable y(value)= a +bx(variable)

72
Q

partial correclation

A

taking a third variable out of the relationship between two variables

73
Q

semipartial correlation

A

removing the influence of a third variable on only one of the two variables in a relationship.

74
Q

multiple regression

A

correlating more than one predictor with a continuous criterion variable.

75
Q

types of predictors

A

forward selection, backward selection, stepwise, hierarchical, maximum r2

76
Q

parametric testing samples (has all with one dependent variable)

A

independent sample t test, paired sample t test

77
Q

non parametric testing samples

A

mann whitiney u test, wilcoxisum signed rank test

78
Q

when is a t test aproperatie

A

when only two things are being compared to each other

79
Q

paired(matched) sample t test is what

A

testing one condition against another against themselves

80
Q

one-way anoua parimetric

A

kruskl- wallis anoua

81
Q

two way anoua pariemtric

A

freidmans awoua

82
Q

manoua

A

non parametric greater than one dependent variable

83
Q

total variance=

A

true variance + error variance

84
Q

test of significance=

A

true variance / error variance

85
Q

test of meaningfulness =

A

true variance / total variance

86
Q

degree of freedom

A

extent to which data can vary (n-1)

87
Q

f-test

A

mean square between groups/ mean square within groups

88
Q

post hoc test

A

follow up to a significant anova result

89
Q

duncan

A

most difference

90
Q

scheffe

A

least difference

91
Q

turkey

A

honest significant difference

92
Q

significance difference =

A

less than .05

93
Q

after significant anouva result what do you do

A

post talk

94
Q

why dont we do serial t testing

A

because there will be too much of error (inflated type one error)

95
Q

chi square test is what kind of test

A

non parametric test

96
Q

why do we square things in stats

A

to remove the negative

97
Q

regression equations do what

A

prediction

98
Q

stepwise regression

A

to determine if things are good predictors adding things to the data

99
Q

logical validity

A

does it appear to be valid on the surface level, logical subject has to believe it is logical

100
Q

content validity

A

does the study have the right content and all the right information included in the test.

101
Q

criterion validity

A

dependent variable, the thing of interest. how valid is the thing your measuring

102
Q

construct validity

A

was the test constructed correctly

103
Q

sources of measurement error

A

tester, calibration, subject, test design, random error

104
Q

reliable measure is considered

A

constant and stable

105
Q

interclass is symbolized by

A

r compared one test with repeated process within

106
Q

intraclass is symbolized by

A

R between compared trial to trial with more in def analysis

107
Q

true error variance is

A

subject to subject