Unadjusted group differences were tested by using
analysis of variance with Bonferroni posthoc tests (to adjust for multiple comparisons) for continuous variables and the χ2 test for categorical variables.
In the three - way -
analysis of variance with partnership, age, and education as factors and the AAS depend as continuous dependent variable (N = 1675), three small but relevant significant main effects of partnership, F (1, 1663) = 24.41, p < 0.001, η2 = 0.01, age, F (2, 1663) = 8.56, p < 0.001, η2 = 0.01, and education, F (1, 1663) = 11.92, p < 0.001, η2 = 0.01 were observed.
All analyses will be undertaken using mixed - model repeated measures
analysis of variance with planned contrasts.
A 2 × 2 (trial × gender)
analysis of variance with repeated measures and appropriate post hoc was used to analyze the data.
General characteristics were compared with
analysis of variance with Tukey's post hoc comparisons, and qualitative variables were compared with chi - square tests.
Not exact matches
The more traditional approach, which developed out
of mean
variance analysis some fifty years ago, tailors an individual's portfolio to his or her age, young investors should take more risk
with stocks, and attitudes toward risk, conservative investors should hold more cash.
For variables
with normal distribution, one way
analysis of variance was used to compare mean values.
In their
analysis of data from 1423 Swedish women who were studied from 2.5 to 12 mo postpartum, lactation score was significantly associated
with weight retention, but it explained little
of the
variance in PPWR.
Using
analysis of variance, t - tests, or chi - square tests as appropriate, we compared the clinical characteristics among exposure groups and among subjects
with World Trade Center cough according to prognostic subgroups: those
with predominantly upper - airway symptoms (29 subjects) or lower - airway symptoms (95 subjects) or those
with bronchial responsiveness (249 subjects).
Interestingly, the influence
of APOE ɛ 4 varied as the disease progressed; APOE ɛ 4 was associated
with longitudinal FC decreases only for HCs in the single
variance - based
analyses and deteriorated DMN integration in nc - MCIs by combining the effects
of other loci.
This sliding
analysis should help overcome problems associated
with sampling
variance due to the reduced number
of rabbits sampled or sequencing errors
of individual SNPs.
Analysis of variance (ANOVA) statistical comparisons were performed using Statview Software (SAS Institute, Inc., Cary, NC, USA, http://www.jmp.com)
with statistical significance set at 0.05.
A 2 - way
analysis of variance (condition × time)
with repeated measures was performed on all dependent variables recorded in the precondition and postcondition tests.
A 2 - way
analysis of variance (ANOVA)
with repeated measures (time) was performed on all dependent variables recorded in the precondition and postcondition tests (SPSS).
Russ makes three arguments: 1) A recent study that compared grit scores among fraternal and identical twins suggests that grit may be heritable to a large degree, which would make it unrealistic to expect schools or others to be able to alter it; 2) The twin study as well as a meta -
analysis of grit research found that grit only explains about 2 - 3 %
of the
variance in achievement scores, which Russ thinks makes it a poor predictor
of other outcomes; and 3) The meta -
analysis suggests that grit may be highly correlated
with conscientiousness, one
of the Big 5 personality traits that psychologists have been studying for a long time.
To investigate the relationship between school effectiveness and classroom instruction, we initially conducted a multivariate
analysis of variance (MANOVA)
with the school effectiveness rating serving as the independent variable and eight teacher variables serving as outcome measures (see Table 11).
Three
analyses were conducted
with the cross-sectional data using teachers» WSS ratings
of student achievement and students» WJ - R standard scores: a) correlations comparing the students» standard scores on the various subtests
of the WJ - R and the WSS checklist and summary report ratings
of student achievement within the corresponding WSS domains, b) four - step hierarchical regressions examining the different factors that accounted for the
variance in students» spring WJ - R scores, and c) Receiver - Operating - Characteristic (ROC) curves, which make possible a determination
of whether a random pair
of average and below - average scores on the WJ - R would be ranked correctly in terms
of performance on the WSS.
This
analysis seems at
variance with the information now available and that Keeling later came to believe in the accuracy
of the old measurements he had previously rejected as being too high is demonstrated in his own autobiography.
Statisticians have dealt
with this problem
of separating effects in unbalanced
Analysis of Variance designs in the past.
The IPCC's methodology relies unduly — indeed, almost exclusively — upon numerical
analysis, even where the outputs
of the models upon which it so heavily relies are manifestly and significantly at
variance with theory or observation or both.
To do this, we applied factor
analysis with principal - component factoring to find the readability factor that accounted for the most
variance of the full set
of readability measures.78 Our readability factor statistically accounts for a large amount
of the
variance of the full set
of the composited readability measures.79
Assisted
with preparation
of income tax provision, tax expense accruals, ASC 740 and FIN48 adjustments, financial reporting disclosures, financial audit work - papers, general ledger account reconciliation,
variance analysis and all other tax accounting functions.
Managed expense forecasting process, prepared detailed
variance analyses with explanations
of results and drivers to management.
Worked
with finance and merchants to improve accuracy and quality
of variance reporting /
analysis by converting planning for $ 2 billion gross margin from top - down to driver based bottoms - up process.
• Perform month - end consolidation activities such as accounting for foreign branches and cash flow entries • Oversee the development
of monthly management reporting packages including identifying critical forecast gaps • Perform in - depth
analysis to ensure completeness and accuracy
of statistical data • Evaluate correlation among statistical data and summarize findings across clients and products • Analyze both current and past financial data and performance to help make informed decisions for the future • Explore investment opportunities and provide feedback to management to help them decides which ones to explore further • Create and maintain effective communication
with key members to provide information regarding financial closings and deliverables • Research and prepare
variance analysis and explanations and report deliverables
Utilizing solid communication skills combined
with the ability to work collaboratively across all level
of the organization, I exceeded operational goals by creating and implementing strategic plans in line
with business objectives; improved production, productivity, product quality, and customer service standards through a system
of identification,
analysis, and swift resolution; completed audits to determine systems improvements; prepared annual budgets; scheduled expenditures; analyzed
variances - initiating corrective actions
Accomplished and talented Financial Analyst
with strong working knowledge
of financial statements
analysis and reporting to business intelligence, adept in providing in - depth
variance analysis for various business units.
• Analyze and monitor credit worthiness
of assigned accounts • Review and prepare financial and operational reports based on
variance analysis • Ensure timely completion
of general ledger balances
with accuracy • Oversee general accounting activities including transaction recording, account balancing and balance sheet reconciliation • Recommend and approve credit lines within prescribed guidelines • Supervise day to day operations related to cost accounting, deduction and payroll processing
My education and work experience have enabled me to efficiently consolidate and summarize forecasts, perform
variance analysis of results, and provide apt interpretation
of data
with the identification
of key drivers, KPIs, and trends.
Preparation
of monthly cash budget and
analysis the
variance with the actual.
Accounts Payable and Financial Administration Professional — Duties & Responsibilities Develop and maintain a strong and extensive working knowledge
of various related accounting principles, regulations, and applications, continuously utilizing changes to business accounting landscape within current responsibilities Apply various accounting rules and GAAP procedures to critical functions, including the review and approval
of journal entries, data and financial reconciliations, cash flow and discrepancy
analyses, transaction management, and other tasks Provide relevant oversight and administration to all aspects
of accounts payable execution, including billing and collections, vendor file maintenance, reporting, order processing, data and financial accuracy audits, and invoice management Perform regular account and payables reconciliations and
variance resolutions to ensure accurate financials and provide continuous relevant insight into the financial health
of the company Manage important and sensitive financial documents, receipts, correspondence, and invoices on a daily basis, providing organization for audit assistance and execution as well as compliance
with various accounting standards Perform
analysis, research, and evaluation
of current administrative and accounting policies and procedures, implementing change where necessary to drive corporate efficiency, manage costs, and drive revenue Facilitate the efficiency and implementation
of all accounting operations from concept to execution, while coordinating actions on all daily operational and logistical aspects from corporate financial management Utilize technological resources, including software and accounting applications, to track all aspects
of accounts payable and other financial operations as well as prepare important and sensitive cost, billing, and revenue documents Collaborate
with respect to effective communication between all departments, including general accounting and administrative personnel, and coordinate all daily business operations
with leadership staff Address client, vendor, and management queries, resolving them in an expedited manner Assist management
with various other duties as assigned to facilitate efficient administration and operations
Accounting and Financial Administration Professional — Duties & Responsibilities Develop and maintain a strong and extensive working knowledge
of various accounting principles, regulations, tax codes, and applications, continuously applying changes to accounting landscape to current responsibilities Apply various accounting rules and procedures to critical tasks, including the review and approval
of journal entries, data and financial reconciliations, balance sheet and income statement accounting, cash flow
analyses, account collections, capital utilization and on - going budgetary considerations Provide relevant oversight and administration to all aspects
of business finance, including billing and collections, payroll execution, vendor relationships, payroll and salary management, and other pertinent functions Perform regular book reconciliations and
variance resolutions to ensure audit - ready financials and provide continuous relevant insight into the financial health
of the company, in both a regular and ad - hoc manner, to company management Manage important and sensitive financial documents, receipts, and invoices on a daily basis, providing organization for audit assistance and execution as well as compliance
with various accounting standards Perform
analysis, research and evaluation
of current accounting policies and procedures, implementing change where necessary to drive corporate efficiency, manage costs and drive revenue Facilitate the efficiency and implementation
of all accounting operations from concept to execution, while coordinating actions on all daily operational and logistical aspects from corporate financial management to payroll Utilize technological resources, including software and accounting applications, to track all aspects
of firm accounting and financial operations as well as prepare important and sensitive tax documents related to all aspects
of organizational operations Collaborate
with respect to effective communication between all departments and coordinate all daily business operations
with other leadership staff and other personnel Work closely
with and support senior - level management in budgeting and corporate planning strategies Address client, vendor, and management queries, resolving them in an expedited manner Assist management
with various other duties as assigned to facilitate efficient administration and operations, making appropriate and effective recommendations
with respect to performance optimization
PROFILE Senior financial professional
with extensive experience in accounting and financial operations and management, including cash management and financial forecasting, budgeting, financial modeling, financial statement preparation,
variance analysis, internal controls, internal auditing, management
of accounting personnel, and internal administration
of 401 (k) and ESOP.
Professional Experience CHARTIS (New York, NY) 2004 — 2010 Manager, Financial
Analysis • Utilize experience in accounts receivable / payable, expense control / reduction, budgeting and forecasting • Create, prepare, and analyze weekly and monthly GOE expense and account reports of over $ 12M • Provide Senior Executive and CFO with critical information needed to manage divisional expenses • Generate and implement new procedures to reduce expenses over budget • Conduct analysis of significant expense and account receivable items • Manage the premium and expense results for the profit centers • Provide comptrollers with monthly divisional account receivable cash forecast of over $ 86M per month • Reduce cash forecast variance to less than 5 % per month • Resolve and reduce receivables over a 12 month period from $ 12M to less than $ 3M per month • Establish and maintain strong relationships with vendors, underwriters, and senior executives • Control and maintain expenses to stay within budgets and forecasts • Review and verify the validity and accuracy of accounts payable prior to approving disbu
Analysis • Utilize experience in accounts receivable / payable, expense control / reduction, budgeting and forecasting • Create, prepare, and analyze weekly and monthly GOE expense and account reports
of over $ 12M • Provide Senior Executive and CFO
with critical information needed to manage divisional expenses • Generate and implement new procedures to reduce expenses over budget • Conduct
analysis of significant expense and account receivable items • Manage the premium and expense results for the profit centers • Provide comptrollers with monthly divisional account receivable cash forecast of over $ 86M per month • Reduce cash forecast variance to less than 5 % per month • Resolve and reduce receivables over a 12 month period from $ 12M to less than $ 3M per month • Establish and maintain strong relationships with vendors, underwriters, and senior executives • Control and maintain expenses to stay within budgets and forecasts • Review and verify the validity and accuracy of accounts payable prior to approving disbu
analysis of significant expense and account receivable items • Manage the premium and expense results for the profit centers • Provide comptrollers
with monthly divisional account receivable cash forecast
of over $ 86M per month • Reduce cash forecast
variance to less than 5 % per month • Resolve and reduce receivables over a 12 month period from $ 12M to less than $ 3M per month • Establish and maintain strong relationships
with vendors, underwriters, and senior executives • Control and maintain expenses to stay within budgets and forecasts • Review and verify the validity and accuracy
of accounts payable prior to approving disbursements
Researchers suggest that meta - analysts calculate a tolerance level around a fail - safe N that is equal to 5 times the number
of effects included in the meta -
analysis plus 10 (the «5k + 10» benchmark).18, 19 Moreover, the association between the standardized effect sizes and the
variances of these effects was analyzed by rank correlation
with use
of the Kendall τ method.
Principal component factor
analyses revealed 2 factors that explained 50 %
of the total
variance: 1 factor for the 6 toy items and another factor
with 2 items (books and cuddly toys).
Assuming the use
of a 2 (sites) × 2 (negative affect subtypes) × 3 (treatment groups) design
with a repeated - measures
analysis of variance, a power
of 80 %, and a 5 % 2 - tailed test, a medium effect size
of 0.5 for binge eating can be detected
with a sample size
of 205 (assuming a 15 % attrition rate).
Continuous variables were tested
with one - way
analysis of variance (ANOVA).
3 Yet another meta -
analysis found that neuroticism (i.e., the proclivity to experience negative emotions), long - established as the personality trait
with the most impact on relationship success, accounted for less than 5 %
of variance in relationship satisfaction over time.4 All in all, factors beyond the reach
of matching algorithms likely account for over 95 %
of couples» long - term relationship satisfaction.
To do this, we repeated the previous
analyses except this time we additionally added husbands» facial attractiveness, and the HC status at relationship formation × husbands» facial attractiveness interaction to account for
variance in the intercept and current HC status slope estimates in the second level
of the model to create the crucial current HC status × HC status at relationship formation × husbands» facial attractiveness interaction and all lower level interactions
with the following model (Eq.
(iii)
Analyses of variance (ANOVAs)(or multivariate analyses of variance, MANOVAs, when we analysed an instrument with subscales, such as the YSR and the ITIA) were run on the outcome scale (or subscales), with intervention or not (SET or No - SET), number of years (t1, t2... t5) and student gender as independent va
Analyses of variance (ANOVAs)(or multivariate
analyses of variance, MANOVAs, when we analysed an instrument with subscales, such as the YSR and the ITIA) were run on the outcome scale (or subscales), with intervention or not (SET or No - SET), number of years (t1, t2... t5) and student gender as independent va
analyses of variance, MANOVAs, when we analysed an instrument
with subscales, such as the YSR and the ITIA) were run on the outcome scale (or subscales),
with intervention or not (SET or No - SET), number
of years (t1, t2... t5) and student gender as independent variables.
To do this, we repeated the previous
analyses except we also entered the dummy code indicating whether wives were using HCs at relationship formation to account for
variance in the intercept and current HC status slope estimates in the second level
of the model to create the current HC status × HC status at relationship formation interaction
with the following equation (Eq.
Given the new sample in Study 4, maximum likelihood
analyses with Varimax rotation forced 5 factors which accounted for 53 %
of the sample
variance.
The parallel
analysis identified three factors as the optimal solution, explaining 72 %
of the total
variance, and the EFA showed simple structure,
with high primary loadings, and low cross-loadings.
In the current administration, the internal consistency
of the scale was 0.90 and as indicated by a maximum likelihood exploratory factor
analysis with Varimax rotation, seven factors accounted for 47 %
of the sample
variance.
To address the second research question in Study 3, an exploratory factor
analyses with a maximum likelihood method
with Varimax rotation indicated 5 factors that accounted for 47 %
of the sample
variance.
We performed comparisons
of means using
analysis of variance,
with planned post hoc
analyses by the Tukey honestly significantly different test; effect sizes were obtained using mean differences
with associated 95 % confidence intervals (CIs) and also calculated using Cohen d for purposes
of comparability
with related studies.
Differences between the three treatment groups were assessed
with χ, one factor
analysis of variance, and the Kruskal - Wallis test when appropriate.
Results: The principal components
analysis revealed three scales accounting for approximately 49 %
of the
variance in responses: (a) Self - Perceived Ability to Work
with Others, (b) Value in Working
with Others, and (c) Comfort in Working
with Others.
Hierarchical regression
analyses indicated that gender (females were less likely to be employed), IQ (lower IQ associated
with unemployment), and transportation dependence accounted for 42 %
of the
variance in employment.