Political questions that are hard for traditional surveys to assess accurately. Choice between two voters and identify the characteristics that best matchup between the two such as religion, wealth and other factors.
Communication analysis technique that shows what should be said to whom? and when?
By relying on guesswork or only personal opinions, you risk wasting millings of dollars. Maximum difference scaling allows for an unbiased, evidence-based insights that save you time and make marketing choices. Accurate measurement of preferences allows the political parties and leaders to gain a deeper understanding of citizen’s wishes, desired, likes and dislikes.
An easy-to-use choice technique that helps to develop a strategic campaign message.
MAXDIFF helps can be applied to any type of general scaling of multiple items.
Multiple Correspondence analyses (MCA) provide a snapshot of voter’s perceptions of given political parties.
Find ‘hidden’ patterns such as subgroups within the target groups. This technique is effective when assessing many attributes with several brands or the effectiveness of advertising.
The summary that highlights various techniques such as positioning maps, issues targeting, VOTE segments, and candidate position penalty maps
Applying unrelated regression (SUR) model to examine the fate of multiple parties that contested for seats.
A choice model is maximizing advertising effect. This analysis, when used properly, can provide insight to the governor when he sets policy priorities or assesses main concerns dominating the voter’s mind as the election nears, or it can gauge the strength of the position soup as a given campaign will stir when it goes to press
We conduct in-depth analyses and utilize them as weighting factors to explore which variables significantly influence party membership or issue support.
Our multifaceted approach incorporates various techniques, including positioning maps, issues targeting, VOTE segments, and candidate position penalty maps. We also employ unrelated regression (SUR) models to examine the outcomes of multiple parties contesting for seats.
Conjoint analysis is a powerful tool for optimizing advertising effectiveness. When applied effectively, it provides invaluable insights to political leaders. It aids in setting policy priorities, assessing key concerns of voters as an election approaches, and gauging the potential impact of campaign strategies when they are deployed.
StatsWork employs sophisticated statistical techniques, including marginal probit regression, linear regression, and multiple regression analysis, to decipher the driving forces behind voters’ decisions. We delve deep into voter psychology to uncover the motivations that shape their choices.
Our experts conduct comprehensive analyses, utilizing techniques like latent class analysis, to identify distinct clusters of voters. We explore the demographics, attitudes, and behaviors that influence voter turnout. Are Millennials or Baby Boomers less likely to vote? We provide data-driven insights.
We predict election outcomes by examining biographical information about candidates. Employing simple linear regression, we assess how candidate attributes and backgrounds impact electoral success.
Using logistic regression, we assess the probability of voting. We identify the factors that influence whether individuals are more or less likely to cast their ballots.
StatsWork analyzes key drivers of support for political initiatives. We determine what messages resonate with voters and can sway them from the undecided camp to committed supporters. Our insights make a pivotal difference in winning elections.
Predictive modeling allows us to score voters and pinpoint the undecided. In a direct mail campaign, we identify those most likely to be swayed, enabling efficient and effective outreach.
Traditional political questions can be challenging. StatsWork provides accurate insights by analyzing choices between two voter groups. We uncover the characteristics that align with each group, such as religion, wealth, and more, to tailor compelling messages.
Maximum Difference Scaling provides unbiased, evidence-based insights. It informs political parties and leaders about citizens’ preferences, allowing them to craft strategic messages that resonate with voters.
Multiple Correspondence Analysis (MCA) offers a snapshot of voters’ perceptions of political parties. We reveal hidden patterns and subgroups within target demographics. MCA is a powerful tool for assessing attributes, brands, and advertising effectiveness.
StatsWork leverages advanced statistical methodologies to unravel the complexities of political decision-making, empowering political campaigns and leaders to make informed, data-driven choices that resonate with voters and drive success at the polls.
To attend the diverse needs of the global clients, dedicated pool of resources, managed by Customer and local offshore project and account manager, research and support team.
To attend the diverse needs of the global clients, dedicated pool of resources, managed by Customer and local offshore project and account manager, research and support team.
To attend the diverse needs of the global clients, dedicated pool of resources, managed by Customer and local offshore project and account manager, research and support team.
To attend the diverse needs of the global clients, dedicated pool of resources, managed by Customer and local offshore project and account manager, research and support team.
