According to the Rule of One eighth which of the following scenarios is the most common
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ch2 Student: ___________________________________________________________________________ 1.Human resource management focuses on the product choices and industry characteristics that affect an organization's profitability. True False 2.The theories and concepts found in OB are actually drawn from two disciplines: human resources management and strategic management. True False 3.Job satisfaction reflects employees' psychological responses to job demands that tax or exceed their capacities. True False 4.The Container Store—a Texas-based retailer, uses a "celebration mailbox" voicemail system that compliments employees for especially good performance. This is an example of motivation. True False 5.The integrative model of OB presents five individual mechanisms that directly affect the individual outcomes: motivation; learning and decision making; job performance; stress; and trust, justice, and ethics. True False 6.Trust, justice, and ethics captures what employees feel when thinking about their jobs and doing their day- to-day work. True False 7.Group mechanisms shape satisfaction, stress, motivation, trust, and learning. True False 8.Personality and cultural values are the two factors that reflect the characteristics of individual employees. True False 9.The integrative model of OB acknowledges that employees work in one or more work teams led by some formal leader. True False 10.Effective management of OB can help make a product get better, incrementally, over the long term. True False The Jackson Sun - 2001 From the 1880s into the 1960s, a majority of American states enforced segregation through "Jim Crow" laws (so called after a black character in minstrel shows). From Delaware to California, and from North Dakota to Texas, many states (and cities, too) could impose legal punishments on people for consorting with members of another race. The most common types of laws forbade intermarriage and ordered business owners and public institutions to keep their black and white clientele separated. Here is a sampling of laws from various states. Note: Starting in version 2020.4.1, you can now create and edit flows in Tableau Server and Tableau Cloud. The content in this topic applies to all platforms, unless specifically noted. For more information about authoring flows on the web, see Tableau Prep on the Web in the Tableau Server(Link opens in a new window) and Tableau Cloud(Link opens in a new window) help. Tableau Prep offers various cleaning operations that you can use to clean and shape your data. Cleaning up dirty data makes it easier to combine and analyze your data or makes it easier for others to understand your data when sharing your data sets. You can also clean your data using a pivot step or a script step to apply R or Python scripts to your flow. Script steps aren’t supported in Tableau Cloud. For more information, see Pivot Your Data(Link opens in a new window) or Use R and Python scripts in your flow(Link opens in a new window). About cleaning operationsYou clean data by applying cleaning operations such as filtering, adding, renaming, splitting, grouping, or removing fields. You can perform cleaning operations in most step types in your flow. You can also perform cleaning operations in the data grid in a cleaning step. You can apply limited cleaning operations in the Input step and can't apply cleaning operations in the output step. For more information about applying cleaning operations in the Input step, see Apply cleaning operations in an input step(Link opens in a new window). Available cleaning operationsThe following table shows which cleaning operations are available in each step type:
As you make changes to your data, annotations are added to the corresponding step in the Flow pane and an entry is added in the Changes pane to track your actions. If you make changes in the Input step, the annotation shows to the left of the step in the Flow pane and shows in the Input profile in the field list. The order that you apply your changes matters. Changes made in Aggregate, Pivot, Join, and Union step types are performed either before or after those cleaning actions, depending on where the field is when you make the change. Where the change was made is shown in the Changes pane for the step. The following example shows a field change from a single table in a Join step. The change is performed before the join action to give the corrected results.
Order of operationsThe following table shows where the cleaning action is performed in Aggregate, Pivot, Join, and Union step types depending on where the field is in the step.
Note: For joins, if the field is a calculated field that was created using a field from one table, the change is applied before the join. If the field is created with fields from both tables, the change is applied after the join. Apply cleaning operationsTo apply cleaning operations to fields, use the toolbar options or click More options on the field profile card, data grid, or Results pane to open the menu.In Aggregate, Pivot, Join, and Union step types, the More options menu is available on the profile cards in the Results pane and corresponding data grid. If you perform the same cleaning operations or actions over and over throughout your flow, you can copy and paste your steps, actions, or even fields. For more information see Copy steps, actions and fields.
Select your viewYou can perform cleaning operations outside of the profile or results pane in the data grid or in the list view. Use the view toolbar (Tableau Prep Builder version 2019.3.2 and later and on the web) to change your view, then click More options on a field to open the cleaning menu.
Tableau Prep Builder version 2019.3.1 and earlier Use the view toolbar to hide the Profile pane and show only the data grid. Then click More options on a field in the data grid to open the cleaning menu. This view shows a more detailed view of your data and can be useful when you need to work with specific field values. After you select this option, this view state persists across all steps in your flow but you can change it at any time.Note: Not all cleaning operations are available in the data grid. For example if you want to edit a value in-line, you must use the Profile pane.
Pause data updates to boost performanceAs you perform cleaning operations on your data, Tableau Prep applies your changes as you go to show you the results immediately. To save valuable processing time when you know the changes you need to make and don't need immediate feedback as you make each change, you can boost performance by pausing data updates. When you pause data updates, you can make all your changes at once, then resume updates to see your results. You can resume data updates and enable all available operations at any time. Note: When you pause data updates, any operations that require you to see your values are disabled. For example if you want to apply a filter to selected values, you need to see the values you want to exclude.
Apply cleaning operationsTo apply cleaning operations to a field, do the following: Note: You can perform cleaning operations in a list view beginning in Tableau Prep Builder version 2019.3.2 and on Tableau Server and Tableau Cloud starting in version 2020.4.
Rename fields in bulkSupported in Tableau Prep Builder version 2021.2.1 and later. Supported in Tableau Prep on the web in Tableau Server and Tableau Cloud version 2021.2 and later. Use the Rename Fields option to rename multiple fields in bulk. Search for parts of a field name to replace or remove it, or add prefixes or suffixes to all or selected fields in your data set. You can also automatically apply the same change to any fields added in the future that match your criteria by selecting the Automatically rename new fields check box when making your changes. Note: This option is only available in a Clean step type.
View your changesThe different types of cleaning operations are represented by icons over the steps in your flow. If more than four types of operations are applied to a step, an ellipsis displays over the step. Hover over these icons to view annotations showing applied operations and the order in which they are performed. Starting in Tableau Prep Builder version 2019.1.3 and later and on the web, you can click on an annotation on the change icon on a step in the Flow pane or on a profile card in the Profile or Results pane and the change and field it impacts will be highlighted in the Changes pane and the Profile or Results pane. You can also select a step and then expand the Changes pane to view the details for each change, edit or remove your changes, drag changes up or down to change the order in which they're applied and add a description to provide context to other users. For more information about adding descriptions to your changes, see Add descriptions to flow steps and cleaning actions(Link opens in a new window).
When viewing changes in an Aggregation, Pivot, Join, or Union step, the order that the change is applied shows either before or after the reshaping action. The order of these changes is applied by the system and cannot be changed. You can edit and remove the change.
Merge fieldsIf you have fields that contain the same values but are named differently, you can easily merge them into a single field to combine them by dragging one field on top of the other. When you merge the fields, the target field becomes the primary field and the field name of the target field persists. The field that you merge to the target field is removed. Example: When you merge fields, Tableau Prep keeps all of the fields from the target field and replaces any nulls in that field with values from the source fields that you merge with the target field. The source fields are removed. Example
If you merge the Business _Phone, Cell_Phone and Home_Phone fields with the Contact_phone field, the other fields are removed and results in the following:
To merge fields, do one of the following:
For information about how to fix mismatched fields as a result of a union, see Fix fields that don’t match. Apply cleaning operations using recommendationsSometimes it can be hard to identify which cleaning operation you need to use to fix problems in your data. Tableau Prep can analyze your data and recommend cleaning operations that you can apply automatically to quickly fix problems in your data fields or help to identify problems so you can fix them. This feature is available in all step types except Input, Output and Join step types. Note: In Tableau Prep Builder, if you don't want to use this feature, you can turn it off. From the top menu, go to Help > Settings and Performance. Then click on Enable Recommendations to clear the check mark next to the setting. Recommendation types include:
Apply recommendations
Edit field valuesMultiple variations of the same value can prevent you from accurately summarizing your data. You can quickly and easily correct these variations using the following options. Note: Any edits that you make to the values must be compatible with the field data type. Edit a single value
Edit multiple valuesYou have several options to edit multiple values at once. For example, use quick cleaning operations to remove punctuation for all values in a field, manually group values using multi-select, automatically group values together using fuzzy-match algorithms that find similar values or select multiple values and replace them with Null. Note: When you map multiple values to a single value, the original field shows a group icon next to the value, showing you which values are grouped together.Edit multiple values using quick cleaning operationsThis option applies only to text fields.
Group and edit multiple values inlineUse this option to manually select multiple values and group them under a standard value in the profile card. To use other methods to group values, see Manually map multiple values to a standard value and Automatically map values to a standard value using fuzzy match .
Replace one or more values with NullIf you have data rows that you want to include in your analysis but you want to exclude certain field values you can change them to a Null value.
Manually map multiple values to a standard valueUse Group Values (Group and Replace in previous versions) to map the value of a field from one value to another or manually select multiple values to group them. You can even add new values to set up mapping relationships to organize your data. For example, let’s say you have three values in a field: My Company, My Company Incorporated, and My Company Inc. All these values represent the same company, My Company. You can use Group Values to map the values My Company Incorporated and My Company Inc to My Company, so that all three values appear as My Company in the field. Map multiple values to a single selected field
Create a group by selecting multiple values
Automatically map values to a standard value using fuzzy matchTo search for and automatically group similar values, use one of the fuzzy match algorithms. Field values are grouped under the value that appears most frequently. Review the grouped values and add or remove values in the group as needed. If you use data roles to validate your field values, you can use the Group Values (Group and Replace in previous versions) option to match invalid values with valid ones. For more information, see Group similar values by data role (Link opens in a new window) Choose one of the following options to group values:
Group similar values using fuzzy match
Adjust your results when grouping field valuesIf you group similar values by Spelling or Pronunciation, you can change your results by using the slider on the field to adjust how strict the grouping parameters are. Depending on how you set the slider, you can have more control over the number of values included in a group and the number of groups that get created. By default, Tableau Prep detects the optimal grouping setting and shows the slider in that position. When you change the threshold, Tableau Prep analyzes a sample of the values to determine the new grouping. The groups generated from the setting are saved and recorded in the Changes pane, but the threshold setting isn't saved. The next time the Group Values editor is opened, either from editing your existing change or making a new change, the threshold slider is shown in the default position, enabling you to make any adjustments based on your current data set.
Which of the following is one of the primary individual outcomes of interest to organizational behavior researchers?Job performance is the primary individual outcome of interest to OB researchers according to the model.
Which of the following methods suggests that people hold firmly to some belief because it is consistent with their own experience and observations?The correct option is D) Method of experience
Explanation: Method of experience suggests that people hold their beliefs based on their experiences...
What are the five categories of variables in the integrative model?We concluded with an Integrative Model of Feedback Elements that includes five components: Message, Implementation, Student, Context, and Agents (MISCA).
What are the two main categories of citizenship behavior?Citizenship behavior allows an employee to behave positively and take responsibility for things or actions that are not included in their job role. It divides into two categories, intrapersonal and organizational.
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