Univariate MLM Analysis Sample Clauses

Univariate MLM Analysis. Univariate MLM analyses were conducted to obtain bivariate relationship estimates between the experimental manipulations and the measured variables. First, five univariate MLM models were estimated individually for the main effects of comedian racial group membership on the five measured variables (Figure 4.4). The estimation results showed significant main effects of group membership on perceived joke funniness, joke offensiveness, interpersonal anxiety, and intergroup anxiety. Asian comedians were perceived funnier than White comedians; White comedians were perceived more offensive than Asian comedians. The participants also experienced higher levels of interpersonal and intergroup anxiety with the White comedians than with the Asian comedians. Comedian racial group membership did not have a significant main effect on stereotype agreement. Comedian Asian = 4.312⇤⇤⇤ Joke L1 residual = 1.476 Group White = 3.890⇤⇤⇤ Funniness L2 residual = 1.774 Comedian Asian = 3.129⇤⇤⇤ Joke L1 residual = 1.918 Group White = 4.076⇤⇤⇤ Offensiveness L2 residual = 1.303 Comedian Asian = 1.904⇤⇤⇤ Interpersonal L1 residual = 0.572 Group White = 2.330⇤⇤⇤ Anxiety L2 residual = 1.708 Comedian Asian = 2.115⇤⇤⇤ Intergroup L1 residual = 0.255 Group White = 2.223⇤⇤ Anxiety L2 residual = 1.182 Comedian Asian = 3.481⇤⇤⇤ Stereotype L1 residual = 1.664 Group White = 3.457 Agreement L2 residual = 0.642 Coding Reference Group: Asian Comedian = 0 White Comedian = 1 Figure 4.4 Univariate MLM analysis for the main effects of group membership on measured variables. The second set of univariate MLM analyses were conducted to estimate the main effects of content valence (negative/positive stereotype joke) on the five measured variables (Figure 4.5). The estimation results showed significant main effects of content valence on perceived joke funniness, joke offensiveness, and stereotype agreement. Negative-stereotype jokes were perceived funnier than positive-stereotype jokes. The former was also perceived more offensive than the latter. The participants also reported higher levels of agreement with the positive stereotype than with the negative ones. Joke content valence did not have a significant main effect on interpersonal anxiety or intergroup anxiety. Content Negative = 4.354⇤⇤⇤ Joke L1 residual = 1.747 Valence Positive = 3.844⇤⇤⇤ Funniness L2 residual = 1.481 Content Negative = 3.910⇤⇤⇤ Joke L1 residual = 1.461 Valence Positive = 3.292⇤⇤⇤ Offensiveness L2 residual = 1.932 Content Negative = 2...
AutoNDA by SimpleDocs

Related to Univariate MLM Analysis

  • Data Analysis In the meeting, the analysis that has led the College President to conclude that a reduction- in-force in the FSA at that College may be necessary will be shared. The analysis will include but is not limited to the following: ● Relationship of the FSA to the mission, vision, values, and strategic plan of the College and district ● External requirement for the services provided by the FSA such as accreditation or intergovernmental agreements ● Annual instructional load (as applicable) ● Percentage of annual instructional load taught by Residential Faculty (as applicable) ● Fall Full-Time Student Equivalent (FFTE) inclusive of dual enrollment ● Number of Residential Faculty teaching/working in the FSA ● Number of Residential Faculty whose primary FSA is the FSA being analyzed ● Revenue trends over five years for the FSA including but not limited to tuition and fees ● Expenditure trends over five years for the FSA including but not limited to personnel and capital ● Account balances for any fees accounts within the FSA ● Cost/benefit analysis of reducing all non-Residential Faculty plus one Residential Faculty within the FSA ● An explanation of the problem that reducing the number of faculty in the FSA would solve ● The list of potential Residential Faculty that are at risk of layoff as determined by the Vice Chancellor of Human Resources ● Other relevant information, as requested

  • Statistical Analysis 31 F-tests and t-tests will be used to analyze OV and Quality Acceptance data. The F-test is a 32 comparison of variances to determine if the OV and Quality Acceptance population variances 33 are equal. The t-test is a comparison of means to determine if the OV and Quality Acceptance 34 population means are equal. In addition to these two types of analyses, independent verification 35 and observation verification will also be used to validate the Quality Acceptance test results.

  • Statistical Sampling Documentation a. A copy of the printout of the random numbers generated by the “Random Numbers” function of the statistical sampling software used by the IRO.

  • Material Safety Data Sheet Seller shall provide to Buyer with each delivery any Material Safety Data Sheet applicable to the work in conformance with and containing such information as required by the Occupational Safety and Health Act of 1970 and regulations promulgated thereunder or its State approved counterpart.

  • COMPENSATION ANALYSIS After the expiration of the second (2nd) Renewal Term of this Agreement, if any, a Compensation Analysis may be performed. At such time, based on the reported Total Gross Revenue, performance of the Concession, and/or Department’s existing rates for similarly- performing operations, Department may choose to increase the Concession Payment for the following Renewal Term(s), if any.

  • MATERIAL SAFETY DATA SHEETS Contractor is required to ensure Material Safety Data Sheets (“MSDS”) are available, employees are trained in the use of MSDS, and MSDS are in a readily accessible place at the Site. This requirement applies to all materials with an associated MSDS per the federal “Hazard Communication” standard or employees’ Right-to-Know laws. Contractor is also required to ensure proper labeling and training on any substance brought onto the Site and that any person working with the material (or who is subject to possible exposure by use of the material or contact with the material), is informed of the possible and/or real hazards of the substance, and follows proper handling and protection procedures.

  • Agreement Deviation/Compliance Does the vendor agree with the language in the Vendor Agreement?

  • Root-­‐zone Information Publication ICANN’s publication of root-­‐zone contact information for the TLD will include Registry Operator and its administrative and technical contacts. Any request to modify the contact information for the Registry Operator must be made in the format specified from time to time by ICANN at xxxx://xxx.xxxx.xxx/domains/root/.

  • Technology Research Analyst Job# 1810 General Characteristics Maintains a strong understanding of the enterprise’s IT systems and architectures. Assists in the analysis of the requirements for the enterprise and applying emerging technologies to support long-term business objectives. Responsible for researching, collecting, and disseminating information on emerging technologies and key learnings throughout the enterprise. Researches and recommends changes to foundation architecture. Supports research projects to identify and evaluate emerging technologies. Interfaces with users and staff to evaluate possible implementation of the new technology in the enterprise, consistent with the goal of improving existing systems and technologies and in meeting the needs of the business. Analyzes and researches process of deployment and assists in this process.

  • Program Narrative All restricted xxxxxx courses which are taught for the purpose of qualifying an individual for restricted xxxxxx license to practice barbering shall consist of a minimum of 1200 hours of training to prepare each restricted xxxxxx to service their communities.

Time is Money Join Law Insider Premium to draft better contracts faster.