Describe the strengths and weaknesses of the correlational research strategy including the third-variable problem and the directionality problem and identify these problems when they appear in a research study.
> What do rapid application development, extreme programming, and the rational unified process all have in common?
> If you started on a new software development project and the project plan was using the waterfall methodology, would you remain on the project? Why or why not? What could you do to prepare your project better for success?
> It is a dream come true when you can make an incredible salary doing what you love, and that is exactly what is happening in the gaming industry. To the gamer’s delight, profitable careers can be found for people with design, development, and programming
> Summarize the different software development methodologies.
> Explain why a company would implement a service-oriented architecture.
> Scratch is a visual programming language that is perfect for anyone learning to code. Scratch creates programs by connecting blocks of code by using a drag-and-drop GUI so users do not have to type programming languages. Users can simply select colored b
> Bitcoin is a new currency that was created in 2009 by an unknown person using the alias Satoshi Nakamoto. Bitcoin isn’t just a currency, like dollars or euros or yen. It’s a way of making payments, like PayPal or the Visa credit card network. Bitcoins ca
> Compare Porter’s three generic strategies.
> Explain systems thinking and how management information systems enable business communications.
> Describe the information age and the differences between data, information, business intelligence, and knowledge.
> Summarize the importance of enterprise resource planning systems.
> Explain customer relationship management systems and how they can help organizations understand their customers.
> Explain supply chain management and its role in business.
> Identify how an organization can use business process reengineering to improve its business.
> Describe Porter’s Five Forces Model and explain each of the five forces.
> Explain why competitive advantages are temporary along with the four key areas of a SWOT analysis.
> Demonstrate how a company can add value by using Porter’s value chain analysis.
> Slack’s business model is simple: Be Less Busy. It’s hard to imagine any busy professional not coveting those simple words. Slack’s promise is to make business professionals more productive by eliminating meetings and emails. Can you imagine a life witho
> What are the phases in the systems development life cycle?
> What is the systems development life cycle?
> What is the purpose of the balanced scorecard?
> How can metrics be used to measure the success of supply chain management systems and CRM systems?
> What is the difference between CSFs and KPIs?
> What is the difference between MIS efficiency metrics and MIS effectiveness metrics?
> Why would a company want to have a CIO, CPO, and CSO?
> What are the responsibility of a chief data officer?
> What are the responsibility of a chief privacy officer?
> What are the responsibility of a chief information officer?
> Describe information security and the difference between hackers and viruses.
> Why should end users be involved in the systems development effort?
> What are the different types of system implementation methods?
> What are the different types of system testing?
> Which phase in the systems development life cycle contains the most risk? Be sure to explain your answer.
> If you had to skip a phase during the development of a system, which phase would it be and why?
> Which phase in the systems development life cycle is the most important?
> It is a dream come true when you can make an incredible salary doing what you love, and that is exactly what is happening in the gaming industry. To the gamer’s delight, profitable careers can be found for people with design, development, and programming
> Imagine working 10 years to become the lead marketing executive at a large retail organization only to find that your competitor is invading your market share by 20 percent each year. You quickly decided to launch several online marketing promotions whil
> Describe the seven phases of the systems development life cycle.
> Define the primary MIS roles along with their associated responsibilities.
> Explain information ethics and its associated issues.
> Identity theft has quickly become the most common, expensive, and pervasive crime in the United States. The identities of more than 15 million U.S. citizens are stolen each year, with financial losses exceeding $50 billion. This means that the identities
> Describe the four methods for administering a survey (mail, phone, Internet, and in person) and explain the strengths and weaknesses of each, including the problems of nonresponse bias and interviewer bias.
> Define open-ended, restricted, and rating-scale questions; identify examples of these three types of questions; and describe the strengths and weaknesses of each.
> Describe the general characteristics of the survey research design.
> Describe the general characteristics of the observational research design; explain its strengths and weaknesses; and differentiate between natural observation, participant observation, and contrived observation.
> Define content analysis and archival research.
> Describe the three techniques used to quantify behavioral observations and the three techniques used for sampling observations.
> Describe the two general problems (observer influence and subjectivity) that can exist with behavioral observation, and explain how researchers attempt to minimize them.
> Describe the purpose of the descriptive research strategy, explain how it differs from the purpose of other research strategies, and identify this strategy when it is used in a research study.
> Describe how correlations are used for prediction, measuring reliability and validity of measurement, and evaluating theories.
> Explain how an idea for a new research study can be obtained from an existing research publication and use existing research publication(s) to find a new research idea.
> Identify the statistical procedure used to determine a correlation for different types of data and explain what each correlation measures.
> Explain how a correlation describes the direction, form, and strength of a relationship and identify these characteristics for a set of data, especially data presented in a scatter plot.
> Define the goal or purpose of the correlational research strategy and distinguish between a correlational study and experimental and differential research.
> Describe three specific applications of the factorial design: 1. adding a factor to an existing study; 2. using a participant variable as a second factor to control the variance in a between-subjects design; and 3. using the order of treatments as a s
> Identify the statistical analyses that are appropriate to evaluate the mean differences for two-factor designs, and explain the strengths and weaknesses of using two levels versus multiple levels for each factor.
> Explain how a factorial study can combine different research designs (between and within subjects) and different research strategies (experimental and nonexperimental) and identify these features when they appear in a research report.
> Describe and explain the independent relationship between main effects and interactions.
> Explain how the existence of an interaction can influence the interpretation of main effects.
> Define a main effect for one factor and an interaction between factors, and be able to identify main effects and interactions in the results from a two-factor design.
> Define a factorial research design, including the terms factor and level, and identify and describe factorial designs when they appear in a research report.
> Identify the basic sections of an APA-style research article, know what to expect in each section, and summarize and critically evaluate the content of each section for an existing article.
> Explain how replacing the single observation before and after treatment with a series of observations converts the pretest–posttest design into a quasi-experimental time-series design by minimizing threats to internal validity.
> Describe the nonexperimental pretest–posttest design and the quasi-experimental timeseries design, and identify examples of these designs when they appear in a research report.
> Identify the threats to internal validity for pre–post designs.
> Define a pre–post design and identify examples of this research design when it appears in a research report.
> Explain how a simple modification of the posttest-only nonequivalent control group design increases internal validity and produces a quasi-experimental design.
> Describe the two nonexperimental nonequivalent group designs (differential research and the posttest-only nonequivalent control group design) and the quasi-experimental nonequivalent group design (pretest–posttest nonequivalent control group design), and
> Explain how individual differences threaten the internal validity of a nonequivalent group design.
> Define a nonequivalent group design and identify examples of this research design when it appears in a research report.
> Explain how the terms quasi-independent variable and dependent variable are used in nonexperimental, quasi-experimental, and developmental research.
> Identify the statistical techniques that are appropriate for each nonexperimental, quasi-experimental, and developmental design and explain the strengths and weaknesses of two-group compared to multiple-group designs.
> Describe the differences between a full-text database and one that is not full text, and explain the advantages and disadvantages of each in a literature search.
> Define cross-sectional and longitudinal designs, identify these designs when they appear in a research report, and describe the strengths and weaknesses of each design.
> Define, compare, and contrast the experimental, nonexperimental, and quasi-experimental research strategies, and identify these strategies when they appear in a research report.
> Describe the different ways that within-subjects designs are used to compare two or more treatment conditions, identify the statistical techniques that are appropriate for each application, and explain the strengths and weaknesses of each application.
> Define a matched-subject design and explain how it attempts to achieve the advantages of both within- and between-subjects designs without their disadvantages.
> Explain the general advantages and disadvantages of within-subjects designs compared to between-subjects designs and be able to decide which design would be better under specific circumstances.
> Describe the limitations of counterbalancing and explain why partial counterbalancing is sometimes used.
> Define counterbalancing and explain how it is used to minimize or eliminate threats to internal validity from time-related factors.
> For a within-subjects experiment, explain how the time delay between treatments can influence time-related threats to internal validity and why it may be better to switch to a between-subjects design.
> Describe how time-related factors such as history, maturation, instrumentation, statistical regression, and order effects can threaten the internal validity of some within-subjects experiments.
> Describe the general characteristics of a within-subjects experimental design and identify these designs when they appear in a research report.
> Describe the process of conducting a literature search, including using an online database such as PsycINFO, and conduct a search to locate current published research related to a specific topic.
> Describe how between-subjects designs are used to compare means and proportions for two or more groups, identify the statistical techniques that are appropriate for each application, and explain each design’s strengths and weaknesses.
> Describe how differential attrition and communication between participants can threaten the internal validity of between-subjects designs and identify these problems when they appear in a research study
> Identify the options for reducing or controlling the variance within treatment condition and explain how each option works.
> Describe how individual differences influence variability within-treatments and explain how variance within treatments can influence the interpretation of research results.
> Identify the three primary techniques for limiting confounding by individual differences in between-subjects experiments (random assignment, matched assignment, and holding variables constant) and explain how each one works.
> Define individual differences and explain how individual differences between groups and confounding from environmental variables can threaten the internal validity of a between-subjects design.
> Explain the general advantages and disadvantages of between-subjects design compared to within-subjects design.
> Describe, compare, and contrast the defining characteristics of a between-subjects design and a within-subjects design, and recognize examples of each.
> Explain when a manipulation check is needed, describe what it is intended to accomplish, and identify a manipulation check when one appears in a research report.
> Describe the purpose for control conditions in experimental research, define the two basic types of control conditions (no-treatment and placebo), and identify control conditions when they appear in research report.
> Define primary and secondary sources, identify examples of each, and explain the role that each plays in a literature search.
> Describe the three primary techniques for controlling extraneous variables (holding constant, matching, and randomization), explain how each one works, and identify these techniques when they appear in a research report.
> Explain how an extraneous variable can become a confounding variable and identify confounding variables when they appear in a research study.
> Explain why control of extraneous variables is a critical component of an experiment.
> Explain why manipulation of an independent variable is a critical component of an experiment.
> Describe the third-variable problem and the directionality problem, identify these problems when they appear in a research study, and explain why they must be eliminated before an experiment can demonstrate a cause-and-effect relationship.
