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1、Visualpls可以建立二阶因子模型,但是只能做PLS演算,BootStrap和JackKnife算法不支持二阶变量,所以R方和T值都无法得到,怎么对二阶因子模型进行评估呢?或者有没有其他的PLS软甲你可以做二阶因子模型的评估?AMOS直接从SPSS导入数据,但是SmartPLS和VisualPLS要求.txt或.dat后缀的数据,小白求各位高手科普,该如何建立SmartPLS和VisualPLS的数据源1. 可以先把数据输入到excel里面,点另存就行了。2. 用SPSS打开数据后,点“另存为”,在保持格式里选“用逗号隔开 .csv"就好了信度检验:内部一致性信度【信度,一般要求
2、信度在0.7以上,可放松到0.6】、合成信度【各组样本平均值之间的差异显著性检验,反映的是潜变量内部指标的一致性,一般采用CR指标(VISUAL-PLS),一般要求大于0.7】效度检验:一致性效度、判别效度【检验概念之间的差异程度,主要指标是AVE平方根与潜变量间的相关系数(VISULA-PLS),一般而言,若一个潜变量的AVE值大于相关系数,说明效度存在没差异明显】、内敛效度【主要是指AVE值,一般认为大于0.5即可】路径系数检验:采用Bootstrap算法【VISUAL-PLS软件(判定指标主要是定标决定系数Rsq,为负数路径不成立)】Creating and Editing PLS Mo
3、delA data file must be prepared before the creating of PLS model. The requirement for a legitimate data file was discussed in the previous section. Then the following steps are detailed in squence:1.Click File|New Model or click button to create a new PLS Project. The default file type is vpl. PLS c
4、ode will be written into this file. You need to finish these steps to create a valid PLS code file:Step 1: Specifying PLS Project File Name.Step 2: Locating data file.o The data type is raw data. The default extension name is txt or dat.o
5、160; Once the PLS project is created, the data file cannot be changed.Step 3: Building the measurement model. All the indicators will be read from the first row in the data file and listed in the manifest variable list box. The indicators will be removed when they are assigned to a
6、latent variable. Step 4: Constructing the structural model.The path model can be created by dragging lines between constructs. Step 5: Specifying model parameters.Open PLS Projectclick the button to open PLS Project.Select CasesSelect Cases provides methods for selecting a subgroup of cases based on
7、 criteria that include variables and expressions. Model BuildingAll the indicators will be read from the first row in the data file and listed in the manifest variable list box, shown in the left part of the window.New Construct Constructs must be created before assigning manifest variables. Th
8、ree operations are related to managing latent variables. o New Construct: By clicking the Tool/New Construct or button, then click on the canvas in the proper position, you can create a new construct. o Delete Construct: H
9、ighlight a latent variable and click Delete to remove it. The associated manifest variables will be released.o Rename: To rename a latent variable, double-click it in the construct. A dialog window will pop up to accept a new name. You need to follow the naming ru
10、les described above to add a valid variable name. Assign indicators to constructYou can assign manifest variables after adding new constructs. Just double-click on the construct, the associated Indicators and Constructs window will show up. To assign indicators to this construct, just select the un-
11、used indicators (shown in the left list box) and click the Assign button. Multiple selections are supported. The associated manifest variables will move to the right part. If you want to release indicator (s) associated with a construct, and select the indicator (s) you will release in the right lis
12、t box, then click Remove button. Click OK button, the manifest variable list box will display the relationship between indicators and constructs. Note: You can specify the direction of the manifest variable, either Reflective or Formative.Formative v.s. Reflective IndicatorsFormative and reflective
13、are represented in both windows, as depicted in the picture below. Constructing the path modelThe path model can be created by drawing arrow-lines between variables. To add paths between constructs, press the button, then click the the independent variables and drag to the dependent variables.
14、 To remove a path, just click on the path and press the DEL key , or right-click the mouse button, select Delete Path to remove the path.Specifying model parameters.Default parameters are pre-set and estimate the model with general constraints and produce commonly used results. You can make ch
15、anges to these parameters by selecting items from the parameter lists, or by filling in parameter boxes. It is recommended not to change them unless you are familiar with the meaning of the parameters. If you have made any changes and want to restore the settings, click Reset. The parameters for a c
16、orrelation matrix model and a raw data model are different. The following is a list of both sets of parameters. Please read the help file in Lvpls package (pls.hlp) for details.Calculation of Stone-Geisser Q2: to estimate the Q2 coefficients, the type of bl
17、indfolding static and Blindfolding omission distance in no. of cases must be selected.Save ModelYou can save the current model by clicking Save Model.Save AsYou can save the current model under another name by clicking Save As.Interactoin Effects and ModeratorsPartial Least Squares Product Indicator
18、 ApproachThe Product indicator approach, proposed by Chin(1996), was support in the VisualPLS. The predictor (X) and moderator (Z) indicators are used to create product indicators by creating all possible products from the two sets of indicators. These product terms are used to reflect the latent in
19、teraction variable. For example, if the predictor (X) has three indicators and the moderator variable (Y) has 2 indicators, as graphically depicted below, we would have six measures for representing the construct of interaction effect (X*Z).Step to Model Interaction Effects with VisualPLSStep 1: Gen
20、erate Product Terms for Interaction EffectsStep 2: Create a Construct for Interaction EffectStep 3: Assign product Indicators to ConstructsHow to generate Product Terms for Interaction EffectsClick the Button, then select New product terms (for interaction)If you want to generate product terms
21、 using existing construct, then select Constructs button, else select Indicators buttonPress Constructs Buttonthe Generate Product Terms from Constructs window appear. The user then select predictor construct and moderator variable to generate product terms. Be sure to assign 2-character Alias for p
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