پایان نامه ها

پایان نامه با واژه های کلیدی *;، V22، V23، V24

شناسایی عو امل بازدارنده فرهنگی بر بهره‌وری در شرکت پست جمهوری اسلامی ایران، پایان‌نامه کارشناسی ارشد مدیریت دولتی، مؤسسه آموزش و پژوهش مدیریت و برنامه‌ریزی.
فرازی بر ‎ SPSS، ۱۳۸۴، مترجمین: علی افش‍انی، مرتضی نوریان، زینب حسین‌رامش‍ه، ته‍ران، انتشارات بیشه،
قاسمی، لیلا، 1383، شناخت عوامل مدیریتی مؤثر بر بهره‌وری نیروی انسانی از نظر مدیران ارشد و میانی بخش صنعت آذربایجان‌شرقی، پایان‌نامه کارشناسی ارشد مدیریت دولتی، مؤسسه آموزش و پژوهش مدیریت و برنامه‌ریزی.

انگلیسی
Almeida, R. & Carneiro, P., 2009, The Return to Firm Investments in Human Capital. Labour Economics, 116, pp. 97-106̷
Connel, Julia and Hannif, Zeenobiyah, 2009 “Call Centers, Quality of Work life and HRM Practices”, Employee Relations, 31/4, 2009, pp. 363-381,
Hersey P, Blanchard K.H ,1998, Management of organizational behavior: Utilizing human resources, (5th ed.) prentice hall Inc, Englewood cliffs, New Jersey.
Huselid, M, 1995,The Impact of Human Resource Management Practices on Turnover, Productivity and Corporate Financial Performance, Academy of Management Journal. 38(5): 672-635
Liu,J.and A. Sakamoto, 2005, Reiative deprivation, efficiency wages, and labor productivity in Taiwanese manufacturing industries, Research in Social Stratification and Mobility, 23:303-341
Yang, Seung-Bum and Choi,Sang, 2009 “Employee Empowerment and Team Performance”,Team Performance Management,5/15, pp. 289-30.

پیوست
پیوست الف خروجی ازمون اسمیرنف و کولوموگرف:

One-Sample Kolmogorov-Smirnov Test

bahrevari
niazasasi
mosharekatkarkonan
rabari
N
121
121
121
121
Normal Parametersa,b
Mean
2.8292
2.6299
2.6074
2.7421

Std. Deviation
.87572
.56681
.77246
.68675
Most Extreme Differences
Absolute
.142
.075
.137
.097

Positive
.142
.075
.137
.097

Negative
-.078
-.069
-.084
-.071
Kolmogorov-Smirnov Z
1.078
.826
1.083
1.072
Asymp. Sig. (2-tailed)
.215
.502
.222
.201
a. Test distribution is Normal.
b. Calculated from data.

پیوست ب:خروجی نرم افزار EQS

EQS, A STRUCTURAL EQUATION PROGRAM MULTIVARIATE SOFTWARE, INC.
COPYRIGHT BY P.M. BENTLER VERSION 6.1 (C) 1985 – 2005 (B85).
04-Apr-15 PAGE : 2 EQS Licensee:
TITLE: Model built by EQS 6 for Windows

53 E9 = *;
54 E10 = *;
55 E11 = *;
56 E12 = *;
57 E13 = *;
58 E14 = *;
59 E15 = *;
60 E16 = *;
61 E18 = *;
62 E19 = *;
63 E20 = *;
64 E21 = *;
65 E22 = *;
66 E23 = *;
67 E24 = *;
68 E25 = *;
69 D1 = *;
70 /COVARIANCES
71 /PRINT
72 FIT=ALL;
73 TABLE=EQUATION;
74 /OUTPUT
75 Parameters;
76 Standard Errors;
77 RSquare;
78 Codebook;
79 Listing;
80 DATA=’EQSOUT.ETS’;
81 /END

مطلب مشابه :  منابع و ماخذ پایان نامهگزارشگری مالی، عدم تقارن، عدم تقارن اطلاعات، عدم اطمینان

81 RECORDS OF INPUT MODEL FILE WERE READ

DATA IS READ FROM D:workeqs pourhasanpourhasan.ess
THERE ARE 29 VARIABLES AND 121 CASES
IT IS A RAW DATA ESS FILE

04-Apr-15 PAGE : 3 EQS Licensee:
TITLE: Model built by EQS 6 for Windows

SAMPLE STATISTICS BASED ON COMPLETE CASES

UNIVARIATE STATISTICS
———————

VARIABLE V1 V2 V3 V4 V5
V1 V2 V3 V4 V5

MEAN 2.7521 2.7603 2.5702 2.2314 2.1570

SKEWNESS (G1) .0938 .0355 -.1432 .3354 .4833

KURTOSIS (G2) .5794 .0504 -.5141 -.5640 -.1928

STANDARD DEV. .7559 .8758 .9204 .8828 .9575

KURTOSIS (ETA) 1.0923 1.0084 .9103 .9011 .9673

VARIABLE V6 V7 V8 V9 V10
V6 V7 V8 V9 V10

MEAN 2.9174 2.1157 3.0826 3.0826 3.4711

SKEWNESS (G1) -.2766 .2944 -.3876 -.3942 7.0464

KURTOSIS (G2) .0811 -.9882 .3537 .1090 65.1752

STANDARD DEV. .9272 .9504 .8717 .8620 2.1644

KURTOSIS (ETA) 1.0134 .8189 1.0573 1.0180 4.7671

VARIABLE V11 V12 V13 V14 V15
V11 V12 V13 V14 V15

MEAN 2.4545 3.5207 2.7355 2.8017 2.9256

SKEWNESS (G1) .0396 9.1225 -.0094 .0156 .1932

KURTOSIS (G2) -.3155 91.8650 -.1162 .0125 -.4181

STANDARD DEV. .9309 2.7631 .8638 .8720 1.0422

KURTOSIS (ETA) .9460 5.6233 .9804 1.0021 .9277

VARIABLE V16 V18 V19 V20 V21
V16 V18 V19 V20 V21

MEAN 2.9752 2.3223 2.6694 3.0909 2.8099

SKEWNESS (G1) 9.0314 .1875 .1032 -.3993 -.0890

KURTOSIS (G2) 90.4312 -.6841 -.2053 -.0448 -.1212

STANDARD DEV. 2.8268 .8871 .8793 .9747 .9066

KURTOSIS (ETA) 5.5807 .8786 .9652 .9925 .9796

VARIABLE V22 V23 V24 V25
V22 V23 V24 V25

MEAN 2.5372 2.6033 2.1818 2.0165

SKEWNESS (G1) .1625 .2564 .3168 .4010

KURTOSIS (G2) -.6953 -.2049 -.7959 -1.0727

STANDARD DEV. 1.0804 .9702 .9309 .9745

KURTOSIS (ETA) .8765 .9653 .8572 .8015

MULTIVARIATE KURTOSIS
———————

MARDIA’S COEFFICIENT (G2,P) = 217.8578
NORMALIZED ESTIMATE = 33.9179

ELLIPTICAL THEORY KURTOSIS ESTIMATES
————————————

MARDIA-BASED KAPPA = .3491 MEAN SCALED UNIVARIATE KURTOSIS = 3.3573

MARDIA-BASED KAPPA IS USED IN COMPUTATION. KAPPA= .3491

CASE NUMBERS WITH LARGEST CONTRIBUTION TO NORMALIZED MULTIVARIATE KURTOSIS:
—————————————————————————

CASE NUMBER 16 34 53 104 112

ESTIMATE 1919.7664 180.2130 291.5309 1858.0754 1649.2849

04-Apr-15 PAGE : 4 EQS Licensee:
TITLE: Model built by EQS 6 for Windows

COVARIANCE MATRIX TO BE ANALYZED: 24 VARIABLES (SELECTED FROM 29 VARIABLES)
BASED ON 121 CASES.

V1 V2 V3 V4 V5
V1 V2 V3 V4 V5
V1 V1 .571
V2 V2 .340 .767
V3 V3 .193 .329 .847
V4 V4 .150 .131 .167 .779
V5 V5 .256 .246 .235 .372 .917
V6 V6 .229 .230 .048 .319 .471
V7 V7 .121 .153 .283 .365 .482
V8 V8 .171 .253 .227 .214 .329
V9 V9 .121 .203 .219 .189 .270
V10 V10 -.099 .106 -.021 -.010 .417
V11 V11 .080 .218 .280 .427 .370
V12 V12 .097 .067 -.099 .370 .376
V13 V13 .151 .253 .194 .312 .284
V14 V14 .100 .152 .147 .221 .340
V15 V15 .081 .174 .184 .317 .362
V16 V16 .127 .227 .273 .256 .012
V18 V18 .081 .078 .156 .216 .216
V19 V19 .076 .220 .190 .235 .186
V20 V20 .164 .197 .139 .187 .402
V21 V21 .094 .112 .068 .378 .313
V22 V22 .093 .096 .124 .266 .373
V23 V23 .059 .129 .153 .426 .354
V24 V24 .062 .111 .229 .374 .371
V25 V25 .071 .196 .174 .396 .406

مطلب مشابه :  منابع پایان نامه ارشد درموردبازاریابی درونی، بازاریابی، تعهد سازمانی، رگرسیون

V6 V7 V8 V9 V10
V6 V7 V8 V9 V10
V6 V6 .860
V7 V7 .418 .903
V8 V8 .299 .299 .760
V9 V9 .232 .340 .535 .743
V10 V10 .189 .220 .352 .169 4.685
V11 V11 .271 .339 .229 .287 .434
V12 V12 .218 .373 .257 .007 .203
V13 V13 .261 .214 .305 .272 .076
V14 V14 .242 .240 .342 .308 .219
V15 V15 .269 .300 .298 .223 .110
V16 V16 -.210 -.022 .210 .15
2 -.172
V18 V18 .144 .196 .181 .106 .147
V19 V19 .181 .180 .269 .161 .374
V20 V20 .291 .156 .209 .101 .173
V21 V21 .217 .281 .216 .116 .199
V22 V22 .353 .354 .147 .055 .570
V23 V23 .350 .288 .283 .233 .280
V24 V24 .232 .337 .177 .235 -.061
V25 V25 .335 .406 .315 .340 .142

V11 V12 V13 V14 V15
V11 V12 V13 V14 V15
V11 V11 .867
V12 V12 .303 7.635
V13 V13 .346 .056 .746
V14 V14 .341 .412 .380 .760
V15 V15 .267 .372 .380 .360 1.086
V16 V16 .086 -.054 .368 .087 .698
V18 V18 .136 .522 .194 .164 .208
V19 V19 .285 .340 .329 .226 .325
V20 V20 .283 .394 .241 .185 .282
V21 V21 .362 .508 .224 .270 .327
V22 V22 .245 .176 .110 .082 .307
V23 V23 .398 .067 .419 .362 .487
V24 V24 .400 -.004 .207 .245 .255
V25 V25 .376 -.150 .321 .270 .385

V16 V18 V19 V20 V21
V16 V18 V19 V20 V21
V16 V16 7.991
V18 V18 .375 .787
V19 V19 .042 .216 .773
V20 V20 .186 .079 .289 .950
V21 V21 .112 .128 .262 .367 .822
V22 V22 .180 .259 .271 .342 .353
V23 V23 .032 .296 .418 .436 .399
V24 V24 .063 .116 .152 .225 .285
V25 V25 .334 .220 .247 .323 .237

مطلب مشابه :  منابع پایان نامه با موضوعکامن لا، ضمن عقد

V22 V23 V24 V25
V22 V23 V24 V25
V22 V22 1.167
V23 V23 .432 .941
V24 V24 .418 .464 .867
V25 V25 .358 .523 .522 .950

BENTLER-WEEKS STRUCTURAL REPRESENTATION:

NUMBER OF DEPENDENT VARIABLES = 25
DEPENDENT V’S : 1 2 3 4 5 6 7 8 9 10
DEPENDENT V’S : 11 12 13 14 15 16 18 19 20 21
DEPENDENT V’S : 22 23 24 25
DEPENDENT F’S : 1

NUMBER OF INDEPENDENT VARIABLES = 28
INDEPENDENT F’S : 2 3 4
INDEPENDENT E’S : 1 2 3 4 5 6 7 8 9 10
INDEPENDENT E’S : 11 12 13 14 15 16 18 19 20 21
INDEPENDENT E’S : 22 23 24 25
INDEPENDENT D’S : 1

NUMBER OF FREE PARAMETERS = 51
NUMBER OF FIXED NONZERO PARAMETERS = 29

*** WARNING MESSAGES ABOVE, IF ANY, REFER TO THE MODEL PROVIDED.
CALCULATIONS FOR INDEPENDENCE MODEL NOW BEGIN.

*** WARNING MESSAGES ABOVE, IF ANY, REFER TO INDEPENDENCE MODEL.
CALCULATIONS FOR USER’S MODEL NOW BEGIN.

3RD STAGE OF COMPUTATION REQUIRED 70422 WORDS OF MEMORY.
PROGRAM ALLOCATED 2000000 WORDS

DETERMINANT OF INPUT MATRIX IS .53006D-03

04-Apr-15 PAGE : 5 EQS Licensee:
TITLE: Model built by EQS 6 for Windows

ITERATIVELY REWEIGHTED LEAST SQUARES SOLUTION (HETEROGENEOUS KURTOSIS DISTRIBUTION THEORY)

FOLLOWING TECHNICAL INFORMATION HAS BEEN STORED IN EQSOUT.ETS

—————————————————————————–

TAIL PROBABILITIES NOT APPLICABLE TO THIS ANALYSIS ARE WRITTEN AS -1.
OTHER STATISTICS WHICH ARE NOT APPLICABLE ARE WRITTEN AS -9.

SUMMARY SECTION CONTAINS–

LINE 1 BEGINNING: ANALYSIS …

LINE 2 CONTAINING THESE 11 ELEMENTS OF MODEL STATISTICS:

ESTIMATION METHOD (LS,GLS,ML,ELS,EGLS,ERLS,AGLS,HKGLS,HKRLS)
CONDITION CODE (0 FOR NORMAL CONDITION)
CONVERGENCE (0 FOR MODEL CONVERGED)
NUMBER OF ITERATIONS FOR CONVERGENCE
DEGREES OF FREEDOM
NUMBER OF CONSTRAINTS
DENOMINATOR DEGREES OF FREEDOM FOR F-TESTS
DEGREES OF FREEDOM FOR POTENTIAL STRUCTURED MEANS MODEL TEST
D.F. FOR GLS TEST OF HOMOGENEITY OF MEANS
D.F. FOR GLS TEST OF HOMOGENEITY OF COVARIANCE MATRICES
D.F. FOR GLS COMBINED TEST OF HOMOGENEITY OF MEANS/COVAS.

LINE 3 CONTAINING THESE 10 ELEMENTS OF MODEL STATISTICS:

TAIL PROBABILITY FOR MODEL CHI-SQUARE
TAIL PROBABILITY FOR RESIDUAL-BASED TEST STATISTIC

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