reporting pls mobi data

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    Reporting PLS Analysis

    (MOBI250 data and sample size=250)

    Once you had draw the model

    Click Calculate and press PLS Algorithm

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    Just Click Finish

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    Inside the blue circle value its represent the ! value

    "he line connecting the studied constructs indicate the Std #eta value

    #ased on the above results you need to check on the loadings value o$ each o$ the

    studied constructs that having less than %&' loading value and you need to remove

    it one by one (i$ there are more loading values less than %&') and a$ter you delete

    the item you need to Click Calculate and press PLS Algorithm and check whether

    there is*are value less than %&') and repeat the steps&

    +ote, i$ the construct items le$t two and you had $ound one the item having low

    loading (-%&') don.t delete it

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    /elete item o$ C0SL! (%&12') and run calculate

    Although there are no more loading below %&' but ne3t criteria is to check the A45

    value must be above %&'

    Click on eport and click 6"7L 5PO"

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    Click on 8uality Criteria and check this table

    Quality Criteria

    AVE Composite

    Reliability R Square

    Cronbachs

    Alpha Communality Redundancy

    Expectation 0.479708 0.732782 0.451903 0.479708

    Loyalty 0.765353 0.866731 0.428502 0.702727 0.765353 0.317196

    Quality 0.576649 0.904693 0.311706 0.877010 0.576649 0.178825

    Satisfaction 0.693605 0.871568 0.666719 0.779195 0.693605 0.054308

    Value 0.848441 0.917976 0.345499 0.823632 0.848441 0.030538

    "he above table show that the A45 value $or 53pectation (0.479708) is below 0.5 (The AVEvalues require !o have a! leas! 0.5)

    There"ore# we $ee !o %he%& o$ !he loai$' !ha! havi$' low !ha$ !he o!hers loai$' !he$ we ele!e i! i$

    orer !o ush !he AVE s%ore "or 53pectation

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    6ere we decided to delete C059: (loading value is %&;!;)& +ote, I$ you compare

    among the loadings o$ 53pectation this C059: (loading value is %&;!;) item appears

    to be the lowest among the rest&

    +e3t Click Calculate and run PLS Algorithm

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    Click on eport and click 6"7L 5PO" again Click 8uality Criteria

    Quality Criteria

    Overvie

    AVE Composite

    Reliability R Square

    Cronbachs

    Alpha Communality Redundancy

    Expectation 0.661479 0.795891 0.491481 0.661478

    Loyalty 0.765354 0.866732 0.428607 0.702727 0.765354 0.317275

    Quality 0.576666 0.904704 0.235752 0.877010 0.576666 0.136008

    Satisfaction 0.693584 0.871553 0.666911 0.779195 0.693584 0.047672

    Value 0.848412 0.917959 0.343970 0.823632 0.848412 0.007856

    "he above results appear to be having ade

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    j = flow index across all reflective measurement model

    Measures the reliability of indicators The value is between 0 and 1 Composite reliability should be 0. or higher to indicate ade!uate convergence or internalconsistency "#efen et al.$ %000&.

    %i = s!uared loadings of indicator i of a latent variable

    var"i & = s!uared measurement error of indicator i

    Comparable to the proportion of variance explained in factor analysis 'alue ranges from 0 and 1.(') should exceed 0.* to suggest ade!uate convergent validity "+ago,,i - i$ 1/ 2ornell -3arc4er$ 1/1&.

    Ater yo! "ad satis#ed $it" t"e res!lts (no Lo$ loading %elo$ 0&5' and

    "aing ade!ate A*+ and ,R al!es) yo! -an pro-eed or %ootstrapping

    (to -"e-. on $"i-" independent aria%les are "aing signi#-ant e/e-ts on

    t"e * )

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    Sample si=e > !'% #ootstrap > '%% ( best number '%%% but it will to ages to run)

    Press Finish

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    In order to check the signi?cant levels ( see the line arrow) you need to look at the

    t@value

    Signi?cant Levels

    1 tail 2 tail

    1% ** 2.33 2.58

    5%* 1.645 1.96

    Next step is to click on Report and HTM R!"#RT

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    ou will get all the results see below

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    !ath Coefficients "#ean$ S%&EV$ %'Values(

    Ori)inal

    Sample "O(

    Sample

    #ean "#(

    Standard

    &eviation

    "S%&EV(

    Standard

    Error "S%ERR(

    % Statistics "*

    O+S%ERR*(

    Expectation ',Quality

    0.485543 0.495395 0.053241 0.053241 9.119746

    Expectation ',

    Satisfaction0.083631 0.084437 0.047950 0.047950 1.744146

    Expectation ',

    Value0.016102 0.018038 0.071342 0.071342 0.225700

    Quality ',

    Satisfaction0.629769 0.629471 0.052083 0.052083 12.091726

    Quality ', Value 0.578503 0.580711 0.070627 0.070627 8.190976

    Satisfaction ',

    Loyalty0.654681 0.655475 0.056613 0.056613 11.564090

    Value ',

    Satisfaction0.212104 0.210772 0.057814 0.057814 3.668742

    1ig"lig"ts tal!es are s"o$ing signi#-ant al!es

    1o$ to Report PLS res!lts

    3& Meas!rement Modela& ,onergent *alidity

    %& is-riminant *alidity-& ,ross Loading2& Str!-t!ral Model4& oodness o 6its7& Predi-tie Relean-e

    Reporting Meas!rement Model

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    $oner&ent 'alidit(

    u!er *oai$'s

    Expectation Loyalty Quality Satisfaction Value

    C-E./ 0.850779C-E.0 0.774036

    C-SA/ 0.799707

    C-SA0 0.848363

    C-SA1 0.849411

    C-SL/ 0.825309

    C-SL1 0.921723

    !ERQ/ 0.799902

    !ERQ0 0.638511

    !ERQ1 0.785141

    !ERQ2 0.770009

    !ERQ3 0.756084

    !ERQ4 0.773683

    !ERQ5 0.780713

    !ERV/ 0.902035

    !ERV0 0.939765

    +e"le%!ive ,$i%a!ors use u!er *oai$'s +esul!s

    -ora!ive ,$i%a!ors use u!er wei'h!s +esul!s

    AVE Composite

    Reliability R Square

    Cronbachs

    Alpha Communality Redundancy

    Expectation 0.661479 0.795891 0.491481 0.661478

    Loyalty 0.765354 0.866732 0.428607 0.702727 0.765354 0.317275

    Quality 0.576666 0.904704 0.235752 0.877010 0.576666 0.136008

    Satisfaction 0.693584 0.871553 0.666911 0.779195 0.693584 0.047672

    Value 0.848412 0.917959 0.343970 0.823632 0.848412 0.007856

    Ta)le1 $oner&ent 'alidit(

    $onstrct Measre+ent ,te+ oadin& -'!a $R) $ron)ac /

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    !xpectation $0!1 .851 .661 .96 .491

    $0!2 .4

    atisaction $0-1 .8 .694 .82 .9

    $0-2 .848

    $0-3 .849

    o(alt( $01 .825 .65 .86 .3

    $03 .922

    alit( "!R1 .8 .5 .95 .8

    "!R2 .639

    "!R3 .85

    "!R4 .

    "!R5 .56

    "!R6 .4

    "!R .81

    "erceied 'ale "!R'1 .92 .848 .918 .824

    "!R'2 .94a -'! 7 s++ation o sared actor loadin&s:;s++ation o sared actor loadin&s: s++ation o error ariances:

    )$o+posite relia)ilit( 7 sare o te s++ation o te actor loadin&s:;

    Reporting Discriminant Validity

    ?o to report clickLatent Variable Correlations nderquality criteria

    *a!e$! Variable /orrela!io$s

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    Expectation Loyalty Quality Satisfaction Value

    Expectation 1

    Loyalty 0.356099 1

    Quality 0.485543 0.540126 1

    Satisfaction 0.452404 0.654681 0.794737 1

    Value 0.29699 0.522662 0.586321 0.606189 1

    AVE

    >s

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    Expectation Loyalty Quality Satisfaction Value

    C-E./ 6783/ 0.273 0.436 0.372 0.294

    C-E.0 67552 0.312 0.348 0.366 0.180

    C-SA/ 0.423 0.508 0.641 67866 0.411

    C-SA0 0.351 0.495 0.669 67828 0.492

    C-SA1 0.361 0.623 0.674 67829 0.599

    C-SL/ 0.293 67803 0.394 0.455 0.413

    C-SL1 0.329 67900 0.534 0.662 0.494

    !ERQ/ 0.380 0.483 67866 0.681 0.470

    !ERQ0 0.296 0.366 67419 0.490 0.308

    !ERQ1 0.400 0.464 67583 0.644 0.474

    !ERQ2 0.350 0.373 67556 0.601 0.395

    !ERQ3 0.395 0.376 67534 0.524 0.465

    !ERQ4 0.385 0.344 67552 0.549 0.411

    !ERQ5 0.367 0.444 6758/ 0.698 0.554

    !ERV/ 0.253 0.415 0.474 0.486 67960

    !ERV0 0.291 0.536 0.594 0.618 67926

    HoriDantal ceck discri+inant alidit( E 'ertical ceck coner&ent alidit( it +st not i&er tan te

    loadin& o te aria)le in )old ite+s:

    #tructural $odel

    -ter (o ad )ootstrap $lick Report and ?o to pat coeicient

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    To ceck te reslts o te std( H(potesis Testin&:

    !ath Coefficients "#ean$ S%&EV$ %'Values(

    Ori)inal

    Sample "O(

    Sample

    #ean "#(

    Standard

    &eviation

    "S%&EV(

    Standard

    Error "S%ERR(

    % Statistics "*

    O+S%ERR*(

    Expectation ',

    Quality0.485543 0.490326 0.057296 0.057296 8.474260

    Expectation ',

    Satisfaction0.083631 0.085422 0.048431 0.048431 1.726801

    Expectation ',

    Value0.016102 0.019733 0.068805 0.068805 0.234021

    Quality ',

    Satisfaction 0.629769 0.629886 0.050101 0.050101 12.569874

    Quality ', Value 0.578503 0.574770 0.070193 0.070193 8.241597

    Satisfaction ',

    Loyalty0.654681 0.654898 0.055638 0.055638 11.766767

    Value ',

    Satisfaction0.212104 0.210803 0.057368 0.057368 3.697261

    remove the two columns (highlighted in red color)

    Signi?cant Levels

    1 tail 2 tail1% ** 2.33 2.58

    5%* 1.645 1.96

    %riginal #ample &o' is t(e #td )eta

    Reporting #tructural $odel

    Std7 :eta SE t'value

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    Coefficient

    Expectation ', Quality 0.485543 0.057296 8.474260

    Expectation ',

    Satisfaction0.083631 0.048431 1.726801

    Expectation ', Value 0.016102 0.068805 0.234021

    Quality ', Satisfaction 0.629769 0.050101 12.569874

    Quality ', Value 0.578503 0.070193 8.241597

    Satisfaction ', Loyalty 0.654681 0.055638 11.766767

    Value ', Satisfaction 0.212104 0.057368 3.697261

    *ypot(esis Relations(ip #td. )eta #+ t,-alue Decision#upported

    H1 !xpectation FG alit( .486 .5 8.44** pported

    H2 !xpectation FG atisaction .84 .48 1.2* pported

    H3 !xpectation FG 'ale .16 .69 .234 Not pported

    H4 alit( FG atisaction .63 .5 12.5** pported

    H5 alit( FG 'ale .59 . 8.242** pported

    H6 atisaction FG o(alt( .655 .56 11.6** pported

    H 'ale FG atisaction .212 .5 3.69** pported

    EEp%&%1(!&::)G E%&%'(1&;D')

    Or t@values - 1&;'E(p%&%')G t@values - !&::EE (p%&%1)

    Signi?cant Levels

    1 tail 2 tail

    1% ** 2.33 2.58

    5%* 1.645 1.96

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