Brainscape's Knowledge GenomeTM

Browse over 1 million classes created by top students, professors, publishers, and experts.


See full index

IO Comps > I Citations > Flashcards

I Citations Flashcards

1
Q

Aamodt , 2016

A

pay equity, adverse impact, reliability, validity, utility

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Aguinis, Ryan, Gottfredson, and Wright, 2011

A

interaction effects using meta-analysis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Aiken, West, Pitts, Baraldi, & Wurpts, 2012

A

multiple linear regression

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Allen & Yen, 1979

A

measurement theory, CTT

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Angoff, 1971

A

standard setting procedure

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Arthur, Day, McNelly, & Edens, 2003

A

criterion validity of assessment centers

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Austin & Villanova, 1992

A

the criterion problem

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Bacharach, 1989

A

falsifiability and utility of vars/constructs/rels

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Baron & Kenney, 1986

A

mediation and moderation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Bentler & Bonett, 1980

A

significance tests and goodness of fit in ANCOVA

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Bernardin, LaShells, Smith, & Alvares, 1976

A

behavioral expectation scales

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Bhattacherjee, 2012

A

sampling, research designs, qual vs quant, descrip vs infer, reliability/validity, threats, scaling methods, sampling, positivist vs interpretive research, grounded theory, coding, research ethics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Binning & Barrett, 1989

A

validity of personnel decisions

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Bobko, Roth, Bobko, 2001

A

correct size of d for range restriction and unreliabiltiy

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Brown & Moore, 2012

A

CFA

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Campbell & Fiske , 1959

A

MTMM conv/discr validity

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

Cattell, 1966

A

scree test for # factors

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

Chan , 1998

A

composition models

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

Chang, Connelly, & Geeza, 2012

A

MTMM Big Five

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

Cheung, 2018

A

combining meta analysis and SEM

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

Cohen, 1969

A

statistical power analysis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

Cohen, 2013

A

effect size

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

Cook & Campbell, 1979

A

true and quasi-experiments

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
Q

Coolican, 2018

A

research methods and stats in psych

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
Crocker & Algina, 2008
classic and modern test theory
26
Cronbach , 1951
coefficient alpha
27
Cronbach & Meehl, 1955
construct validity
28
Daniel, 1990
applied nonparametrics stats
29
De Corte, Lievens, & Sackett , 2007
combining predictors - selection quality vs adverse impact
30
DeVellis, 2016
scale development
31
Ekuma , 2012
predictive and face validity in selection
32
Evergreen, 2020
data vizualization
33
Field, 2013
discovering stats using SPSS
34
Field, Miles, & Field, 2012
discovering stats using R
35
Giles, 2013
advanced research methods in psychology, MANOVA
36
Glaser & Strauss, 1967
grounded theory
37
Golembiewski, Billingsley, & Yeager , 1976
alpha, beta, gamma change
38
Grove & Meehl , 1996
data combination in selection
39
Guion, 2002
reliability and validity
40
Hayes, 2017
mediation, moderation, conditional process analysis
41
Hayes, Kaylor, & Oltman, 2020
training
42
Hennink, 2014
focus group discussions
43
Hickman, Bosch, Ng, & Tay, 2021
Video interview personality assessments
44
Hinkin, 1998
development of measures for use in survey questionnaires
45
Hinkin & Tracey, 1999
ANOVA approach to content validation
46
Hoelter, 1983
ANCOVA, chi square
47
Holling, 1998
utility analysis
48
Holmes, Illowsky, & Dean, 2015
ANOVA, F distribution, goodness-of-fit, levels of measurement, correlation
49
Huffcutt & Woehr, 1999
employment interview validity
50
Hunter & Schmidt, 1990
dichotomization of continuous variables - implications for meta analysis
51
Hunter & Schmidt, 2004
methods of meta analysis, correcting error and bias
52
Hunter, Schmidt, & Hunter, 1979
differential validity
53
Hunter, Schmidt, & Le, 2006
implications of direct and indirect range restriction for meta analysis
54
Hurley, Scandura, Schriesheim, Brannick, Seers, Vandenberg, & Williams, 1997
EFA/CFA
55
Illowsky & Dean, 2015
collaborative stats: ANOVA, F distrib, linear reg, correl, chi square, NHST, confidence interval, central limit theorem, normal dist, discr vs contin vars, probability, sampling
56
James , 1973
criterion models and construct validity for criteria
57
James, Demaree, & Wolf, 1984
within group interrater reliability with/without response bias
58
Jehn , 1995
multimethod examination of conflict
59
Kahneman & Tversky, 1973
availability and representativeness heuristic
60
Kline, 2005
psychological testing
61
Landy, 1986
validation as hypothesis testing
62
Lane, 2015
advanced graphs, estimation, errors, hypthesis testing, mean testing, power, regression, ANOVA, transformations, chi square, distribution free tests, effect size
63
LeBreton & Senter, 2008
interrater reliability and interrater agreement
64
Maxwell, 2000
sample size and multiple regression analysis
65
Messick, 1995
validity of psychological assessment, content, criterion, construct validity
66
Morgan , 1993
qualitative content analysis, focus groups
67
Morris & Lobsenz, 2000
significance tests and confidence intervals for adverse impact ratio
68
Mossholder & Arvey, 1984
synthetic validity
69
Narayana & Swaminathan, 1994
differential item functioning
70
Nix & Barnette , 1998
NHST
71
Nunnally & Bernstein, 1994
psychometric theory
72
Osborne , 2012
data transformtion
73
Osborne & Waters, 2002
assumptions of multiple regression
74
Podsakoff, MacKenzie, Lee, & Podsakoff, 2003
common method bias
75
Ricker, 2006
setting cut scores, angoff and modified angoff methods
76
Ronan & Prien , 1971
measuring perf
77
Roth, Bobko, Mabon, Anderson, Ones, & Viswesvaran, 2001
utility analysis
78
Sackett & Roth , 1991
monte carlo banding and rank order in personnel selection
79
Sanchez & Levine, 2009
competency modeling vs job analysi
80
Sanchez & Levine , 2012
future of work analysis
81
Scherbaum, 2005
synthetic validity
82
Schmidt , 1992
meta analysis
83
Schmidt & Hunter , 1998
2014 meta analysis
84
Shadish, Cook, & Campbell , 2002
validity, experimental design
85
Shaughnessy, Zechmeister, & Zechmeister, 2000
research methods in psychology, cross sectional design
86
Shippmann, Ash, Batjtsta, Carr, Eyde, Hesketh, Kehoe, Pearlman, Prien, & Sanchez, 2000
Competency modeling
87
SIOP, 2018
guidelines for education and training
88
Spatz, 2012
exploring stats
89
Spector, 2006
common method variance
90
Sproule, 2009
content validation in personnel assessment
91
Suhr, 2006
EFA, CFA, SEM
92
Tabachnik, Fidell, & Ullman, 2007
multivariate stats
93
Tonidandel & LeBreton , 2011
relative importance analysis
94
Toops , 1944
criterion
95
Van Voorhis & Morgan, 2007
power and rules of thumb for sample sizes
96
Viswesvaran & Ones, 1995
Meta analysis & SEM
97
Viswesvaran, Ones, Schmidt, Le, & Oh, 2014
measurement error, corrections for unreliability and psychometric meta analyses
98
Weinfurt, 2000
MANOVA, ANOVA, HLM
99
Williams, Baath, & Philipp , 2017
bayes factors to test hypotheses
100
Zedeck, Cascio, Goldstein, & Outtz, 1996
sliding bands alternative to top down selection

IO Comps (3 decks)

Brainscape helps you reach your goals faster, through stronger study habits.
© 2025 Bold Learning Solutions. Terms and Conditions